[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Z.ai said they are GPU starved, openly. 2. The hunt continues ... 3. GLM-5 scores 50 on the Intelligence Index and is the new open weights leader! 4. Just finished building this bad boy 5. AI spurs employees to work harder, faster, and with fewer breaks, study finds 6. T-Mobile announces its network is now full of AI by rolling out real-time translation 7. Attending GTC? Join The Register for an exclusive dinner on scaling AI data platforms 8. Only one in five Euro datacenters AI-ready as builders battle land and labor blues 9. As OpenAI and Claude fight over ads, Google says ‘show me the money’ 10. Open Compute taps IOWN to help design distributed datacenters and a 'computing continuum' 11. AI connector for Google Calendar makes convenient malware launchpad, researchers show 12. AI can predict your future salary based on your photo, boffins claim 13. Qwen-Image 2.0 and Seedance 2.0 14. not much happened today 15. MoltBook takes over the timeline 16. How Many Lives Has FSD (Supervised) Saved? 17. Build your own Claude Code 18. Sovereign vs. Corporate Debt and Default: More Similar Than You Think 19. What Your Claude Code Agents Don't Need to Be Told 20. Age of Empires: 25 years of pathfinding problems with C++ [video] 21. Show HN: Know Before You Vote – O/S tool linking candidates to Epstein documents 22. Dawson's Creek star James Van Der Beek dies aged 48 23. Built a tool that verifies COBOL-to-Python translations 24. Free Python books that authors intentionally made available 25. Python Unplugged on PyTV 26. How on earth do you actually pronounce openpyxl? 27. After 25+ years using ORMs, I switched to raw queries + dataclasses. I think it's the move. 28. Python Art & Pixel Creations – Creative Drawing and Animation Scripts in Python 29. I scanned 17,316 malicious packages and here's what actually works 30. Kaos Builder v5.1 - An Open-Source Windows Automation & Prank Tool built with Tkinte 31. Django Weblog: Django Steering Council 2025 Year in Review 32. Real Python: What Exactly Is the Zen of Python? 33. Nicola Iarocci: Eve 2.2.5 34. Python Morsels: Need switch-case in Python? It's not match-case! 35. Seth Michael Larson: Cooler Analytics 36. Talk Python to Me: #536: Fly inside FastAPI Cloud 37. PyCoder’s Weekly: Issue #721: Classification With zstd, Callables, Gemini, and More (Feb. 10, 2026) 38. Old Grok was better 39. Gamer Blonde 🎮 40. Don't be a supporter of censorship. 41. What it feels like sometimes 42. They have the laziest censorship. Why cant they even allow uploaded images of anime/fictional chars? I swear even sfw anime imgs get moderated, total bullshit 43. Content Moderated 44. Grok Imagine is working way better. Updated?...finally getting results 45. Introducing SyGra Studio 46. Pandas 3.0 Introduces Default String Dtype and Copy-on-Write Semantics 47. Kubernetes Drives AI Expansion as Cultural Shift Becomes Critical 48. GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps 49. QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering 50. Windsurf Introduces Arena Mode to Compare AI Models During Development 51. Job Board for AI Agents Immediately Overrun With Humans Desperate for Work 52. Law Firm Sacks Hundreds of Employees Amid Pivot to AI 53. Fear Grows That AI Is Permanently Eliminating Jobs 54. ChatGPT Users Are Crashing Out Because OpenAI Is Retiring the Model That Says “I Love You” 55. Researchers Studied What Happens When Workplaces Seriously Embrace AI, and the Results May Make You Nervous 56. Google Has a Major Problem With ICE 57. Anthropic Researcher Quits in Cryptic Public Letter 58. “Novelist” Boasts That Using AI She Can Churn Out a New Book in 45 Minutes, Says Regular Writers Will Never Be Able to Keep Up 59. Use <b>large language model</b> to enhance reasoning of another <b>large language model</b> through ... 60. Generative LLMs as Automatic Proofreaders of Radiology Reports - RSNA 61. On the Front Line of Foreign Influence: Enhancing Taiwan's Information Resilience 62. UMass Law News: Golsby Presents Workshop on Using ChatGPT in the Classroom 63. Your AI doctor doesn't have to follow the same privacy rules as your real one - CyberScoop 64. Latam GPT: Chile leads launch of first artificial intelligence system developed in Latin America 65. Guest column: The humanity of imperfection | Community Focus - stateportpilot.com 66. Chile launches Latin America's first generative AI <b>model</b> - UPI.com

Considering the audience of developers, researchers, and curious non‑experts, I selected headlines that highlight cutting‑edge AI model performance, a new developer SDK for integrating AI tools, and a platform for comparing models during development. These topics cover the most relevant advances in AI research and engineering without overlapping subjects. = HEADLINES = GLM-5 scores 50 on the Intelligence Index and is the new open weights leader! GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps Windsurf Introduces Arena Mode to Compare AI Models During Development

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. MiniMax M2.5 Released 2. Just finished building this bad boy 3. GLM 5.0 & MiniMax 2.5 Just Dropped, Are We Entering China's Agent War Era? 4. DeepSeek has launched grayscale testing for its new model on both its official website and app. 1M content length! 5. Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts 6. EpsteinFiles-RAG: Building a RAG Pipeline on 2M+ Pages 7. Grok-3 joins upcoming models list 8. One in five Euro datacenters AI-ready as builders battle land and labor blues 9. As OpenAI and Claude fight over ads, Google says ‘show me the money’ 10. Open Compute taps IOWN to help design distributed datacenters and a 'computing continuum' 11. AI connector for Google Calendar makes convenient malware launchpad, researchers show 12. AI can predict your future salary based on your photo, boffins claim 13. AI agents spill secrets just by previewing malicious links 14. Qwen-Image 2.0 and Seedance 2.0 15. not much happened today 16. MoltBook takes over the timeline 17. High-bandwidth memory v4 supply takes shape 18. Cognitive Threat Scanner – Detect manipulation in content using SCT taxonomy 19. Don't Use Moving Averages (2024) 20. When Every "AI Headshot" Looked Fake, I Spent 2 Weeks Hacking Together My Own 21. Canonicalize Your Web Identity and Achieve Data Sovereignty with Pesos 22. The Barbican Basin 23. One in Four Smartphones Are Now iPhones 24. Google follows Anthropic: Antigravity sub can't be used in OpenCode/etc. 25. Free Python books that authors intentionally made available 26. After 25+ years using ORMs, I switched to raw queries + dataclasses. I think it's the move. 27. How on earth do you actually pronounce openpyxl? 28. I scanned 17,316 malicious packages and here's what actually works 29. Built a tool that verifies COBOL-to-Python translations 30. I built a Bio-Mimetic Digital Organism in Python (LSM) – No APIs, No Wrappers, 100% Local Logic. 31. A tiny Python networking library focused on simplicity and fun 32. Better Python tests with inline-snapshot 33. Nicola Iarocci: Eve 2.2.5 34. Python Morsels: Need switch-case in Python? It's not match-case! 35. Talk Python to Me: #536: Fly inside FastAPI Cloud 36. PyCoder’s Weekly: Issue #721: Classification With zstd, Callables, Gemini, and More (Feb. 10, 2026) 37. Real Python: Improving Your Tests With the Python Mock Object Library 38. death and gravity: DynamoDB crash course: part 2 – data model 39. Python Software Foundation: Introducing the PSF Community Partner Program 40. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 41. Grok Imagine is working way better. Updated?...finally getting results 42. What it feels like sometimes 43. Moderation back in 2025 44. Golden Warrior 45. Content Moderated 46. Grok gone wild? 47. Getting better at this. 48. Introducing SyGra Studio 49. Pandas 3.0 Introduces Default String Dtype and Copy-on-Write Semantics 50. Kubernetes Drives AI Expansion as Cultural Shift Becomes Critical 51. GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps 52. QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering 53. Windsurf Introduces Arena Mode to Compare AI Models During Development 54. ChatGPT Users Are Crashing Out Because OpenAI Is Retiring the Model That Says “I Love You” 55. Researchers Studied What Happens When Workplaces Seriously Embrace AI, and the Results May Make You Nervous 56. Google Has a Major Problem With ICE 57. Anthropic Researcher Quits in Cryptic Public Letter 58. “Novelist” Boasts That Using AI She Can Churn Out a New Book in 45 Minutes, Says Regular Writers Will Never Be Able to Keep Up 59. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 60. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 61. Microsoft’s AI Efforts Are Faceplanting 62. Determining the Reasonableness of Regulating With AI, by Gilbert Orbea &amp; Emily Froude 63. Responsible Use of Artificial Intelligence in Research - UW-Milwaukee 64. <b>Large</b>-<b>language</b> AI <b>models</b> aren't immune to medical misinformation, but they can learn to discern 65. <b>Large</b>-Scale <b>Model</b>-Enhanced Vision-<b>Language</b> Navigation: Recent Advances, Practical ... 66. BEWC: Bridging stability-plasticity tradeoff in molecular property prediction for continual learning 67. A.I. Personalizes the Internet but Takes Away Control - The New York Times

These headlines are chosen to provide a balanced overview of recent advancements in AI and robotics, with a focus on technical developments and practical applications relevant to developers and researchers. The selection prioritizes concrete model releases, research breakthroughs, and tools, while avoiding speculative or sensationalistic topics. = HEADLINES = GLM 5.0 & MiniMax 2.5 Just Dropped, Are We Entering China's Agent War Era? DeepSeek has launched grayscale testing for its new model on both its official website and app. 1M content length! MiniMax M2.5 Released

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. EpsteinFiles-RAG: Building a RAG Pipeline on 2M+ Pages 2. Nanbeige4.1-3B: A Small General Model that Reasons, Aligns, and Acts 3. DeepSeek has launched grayscale testing for its new model on both its official website and app. 1M content length! 4. DeepSeek just updated to a 1M context window! 5. My NAS runs an 80B LLM at 18 tok/s on its iGPU. No discrete GPU. Still optimizing. 6. As OpenAI and Claude fight over ads, Google says ‘show me the money’ 7. Open Compute taps IOWN to help design distributed datacenters and a 'computing continuum' 8. AI connector for Google Calendar makes convenient malware launchpad, researchers show 9. AI can predict your future salary based on your photo, boffins claim 10. AI agents spill secrets just by previewing malicious links 11. Trump to hyperscalers: your datacenters, your power bill 12. Qwen-Image 2.0 and Seedance 2.0 13. not much happened today 14. MoltBook takes over the timeline 15. Show HN: I built managed OpenClaw hosting with 60s provisioning in 6 days 16. The Shape of Time 17. The Architecture of a "Wrapper" Fraud: YwinCap 18. Math and Me 19. Stripe Dashboard is burning 10%+ CPU in Safari 20. GLM 5 is pony-alpha 21. Startups with the Most Technical Debt Had the Best Funding Outcomes 22. Are AI SQL Yet? 23. After 25+ years using ORMs, I switched to raw queries + dataclasses. I think it's the move. 24. Free Python books that authors intentionally made available 25. I scanned 17,316 malicious packages and here's what actually works 26. A tiny Python networking library focused on simplicity and fun 27. Better Python tests with inline-snapshot 28. Making Pyrefly's Diagnostics 18x Faster 29. I built a dual PC + Android logistics control system using Python (offline-first design) 30. How on earth do you actually pronounce openpyxl? 31. Nicola Iarocci: Eve 2.2.5 32. Python Morsels: Need switch-case in Python? It's not match-case! 33. Talk Python to Me: #536: Fly inside FastAPI Cloud 34. PyCoder’s Weekly: Issue #721: Classification With zstd, Callables, Gemini, and More (Feb. 10, 2026) 35. Real Python: Improving Your Tests With the Python Mock Object Library 36. death and gravity: DynamoDB crash course: part 2 – data model 37. Python Software Foundation: Introducing the PSF Community Partner Program 38. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 39. Grok Imagine is working way better. Updated?...finally getting results 40. Moderation back in 2025 41. Content Moderated 42. Golden Warrior 43. Grok gone wild? 44. Went From “????” to “!!!” 45. Conan's Cottage Capers - Grok then Kling versions 46. Introducing SyGra Studio 47. Article: From Prompts to Production: A Playbook for Agentic Development 48. Pandas 3.0 Introduces Default String Dtype and Copy-on-Write Semantics 49. Kubernetes Drives AI Expansion as Cultural Shift Becomes Critical 50. GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps 51. QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering 52. Windsurf Introduces Arena Mode to Compare AI Models During Development 53. ChatGPT Users Are Crashing Out Because OpenAI Is Retiring the Model That Says “I Love You” 54. Researchers Studied What Happens When Workplaces Seriously Embrace AI, and the Results May Make You Nervous 55. Google Has a Major Problem With ICE 56. Anthropic Researcher Quits in Cryptic Public Letter 57. “Novelist” Boasts That Using AI She Can Churn Out a New Book in 45 Minutes, Says Regular Writers Will Never Be Able to Keep Up 58. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 59. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 60. Microsoft’s AI Efforts Are Faceplanting 61. Determining the Reasonableness of Regulating With AI, by Gilbert Orbea &amp; Emily Froude 62. Responsible Use of Artificial Intelligence in Research - UW-Milwaukee 63. <b>Large</b>-<b>language</b> AI <b>models</b> aren't immune to medical misinformation, but they can learn to discern 64. <b>Large</b>-Scale <b>Model</b>-Enhanced Vision-<b>Language</b> Navigation: Recent Advances, Practical ... 65. BEWC: Bridging stability-plasticity tradeoff in molecular property prediction for continual learning 66. A.I. Personalizes the Internet but Takes Away Control - The New York Times

For developers and researchers interested in AI and robotics, I've selected three headlines that represent significant technical advancements across different domains. First, DeepSeek's 1M context window update is a major breakthrough that will enable more sophisticated AI applications with longer memory. Second, the playbook for agentic development provides practical guidance for implementing AI systems in production, which is crucial for developers moving beyond research. Third, the efficient 80B LLM running on consumer hardware demonstrates how powerful AI is becoming more accessible without expensive specialized hardware. These three headlines cover fundamental advances in AI capabilities while avoiding fearmongering and staying focused on technical developments. = HEADLINES = DeepSeek just updated to a 1M context window! Article: From Prompts to Production: A Playbook for Agentic Development My NAS runs an 80B LLM at 18 tok/s on its iGPU. No discrete GPU. Still optimizing.

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Kimi is so smart 2. Sub-1-Bit LLM Quantization 3. ktop is a themed terminal system monitor ideal for local LLM setups on Linux (like btop + nvtop) 4. Cadence heard you wanted some AI in your AI so it used AI to design an AI chip 5. AI agents spill secrets just by previewing malicious links 6. Trump to hyperscalers: your datacenters, your power bill 7. AI vastly reduced stress of IPv6 migrations in university experiment 8. Frankfurt to dethrone London as colocation king by 2031 9. Edinburgh councillors pull the plug on 'green' AI datacenter 10. OpenAI introduces ads...for the people! 11. not much happened today 12. MoltBook takes over the timeline 13. From Golden Gate Bridge to JSON: Why Anthropic's SAE Failed on JSON Output 14. Show HN: Nginx-lint – A linter for Nginx configs with plugin support and autofix 15. Astounding facts about crocodile eyes [video] 16. I think AI use is reflected in GitHub stats at least a bit 17. Amp Free Is Full 18. Show HN: 80 Lines of codes to transform Codex into a personalized assistant 19. Fun With Pinball 20. Erythritol May Damage Critical Brain Barrier, Risking Stroke 21. After 25+ years using ORMs, I switched to raw queries + dataclasses. I think it's the move. 22. I scanned 17,316 malicious packages and here's what actually works 23. A tiny Python networking library focused on simplicity and fun 24. Better Python tests with inline-snapshot 25. Making Pyrefly's Diagnostics 18x Faster 26. everyrow.io/screen: An intelligent pandas filter 27. DeWobbler: Attach to a running Python process without terminating 28. MCP SERVER for surfing fcst 29. PyCoder’s Weekly: Issue #721: Classification With zstd, Callables, Gemini, and More (Feb. 10, 2026) 30. Real Python: Improving Your Tests With the Python Mock Object Library 31. death and gravity: DynamoDB crash course: part 2 – data model 32. Python Software Foundation: Introducing the PSF Community Partner Program 33. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 34. Real Python: pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 35. PyBites: How Dependency Injection makes your FastAPI Code Better Testable 36. Ned Batchelder: EdText 37. Casual selfies 38. Moderation is ridiculous. 39. Grok purposefully wasting our daily generations by generating multiple perfect copies of the original image without taking into account our NSFW prompt 40. Grok gone wild? 41. So I had a go at the moderation limits yesterday, trying to generate a kind of a fantasy scenario for a bit of fun. Good handful of rejections and a few successful ones 😅 42. Leaked UFO footage 🤯 43. Does Grok's moderation target keywords or does it detect NSFW content based on the very content that it generates? 44. Shake those booty 45. Introducing SyGra Studio 46. GitHub Copilot SDK Lets Developers Integrate Copilot CLI's Engine into Apps 47. QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering 48. Windsurf Introduces Arena Mode to Compare AI Models During Development 49. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 50. Anthropic Researcher Quits in Cryptic Public Letter 51. “Novelist” Boasts That Using AI She Can Churn Out a New Book in 45 Minutes, Says Regular Writers Will Never Be Able to Keep Up 52. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 53. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 54. Microsoft’s AI Efforts Are Faceplanting 55. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 56. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 57. Anthropic Insiders Afraid They’ve Crossed a Line 58. Determining the Reasonableness of Regulating With AI, by Gilbert Orbea &amp; Emily Froude 59. Responsible Use of Artificial Intelligence in Research - UW-Milwaukee 60. <b>Large</b>-<b>language</b> AI <b>models</b> aren't immune to medical misinformation, but they can learn to discern 61. <b>Large</b>-Scale <b>Model</b>-Enhanced Vision-<b>Language</b> Navigation: Recent Advances, Practical ... 62. <b>Large language models</b> unlock the ecology of species interactions | bioRxiv 63. BEWC: Bridging stability-plasticity tradeoff in molecular property prediction for continual learning 64. A.I. Personalizes the Internet but Takes Away Control - The New York Times

I've selected three headlines that represent significant developments in AI across different technical domains, providing a well-rounded view of current advancements for developers, researchers, and curious non-experts. "Sub-1-Bit LLM Quantization" addresses a crucial technical advancement in model optimization that directly impacts how AI systems can be made more efficient. "Cadence heard you wanted some AI in your AI so it used AI to design an AI chip" showcases the fascinating intersection of AI and hardware development, demonstrating how AI is now being used to improve its own infrastructure. Finally, "Large language models unlock the ecology of species interactions | bioRxiv" highlights AI's growing importance in scientific research, showing how these models are being applied to understand complex ecological systems. These three topics cover model optimization, AI hardware, and scientific applications, offering diverse insights into the current state of AI development. = HEADLINES = Sub-1-Bit LLM Quantization Cadence heard you wanted some AI in your AI so it used AI to design an AI chip Large language models unlock the ecology of species interactions | bioRxiv

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Hugging Face Is Teasing Something Anthropic Related 2. Kimi is so smart 3. Sub-1-Bit LLM Quantization 4. ktop is a themed terminal system monitor ideal for local LLM setups on Linux (like btop + nvtop) 5. MCP support in llama.cpp is ready for testing 6. Cadence heard you wanted some AI in your AI so it used AI to design an AI chip 7. AI agents spill secrets just by previewing malicious links 8. What to expect from this year’s NVIDIA GTC conference 9. Trump to hyperscalers: your datacenters, your power bill 10. AI vastly reduced stress of IPv6 migrations in university experiment 11. Frankfurt to dethrone London as colocation king by 2031 12. Edinburgh councillors pull the plug on 'green' AI datacenter 13. OpenAI introduces ads...for the people! 14. not much happened today 15. MoltBook takes over the timeline 16. Section 230 Turns 30; Both Parties Want It Gone–For Contradictory Reasons 17. Why elite chess ratings get stuck: A new model treats draws as data 18. Vlad Tenev Talks GameStop, Stock Market Under Trump and the Future of AI [video] 19. Trump's $100K H-1B Visa Fee May Be Here to Stay 20. The era of declining global poverty is over 21. The One Woman Anthropic Trusts to Teach AI Morals 22. WireDrum forces your muscles to learn skills 23. Show HN: After a year: a retirement calc that verifies or determines your number 24. Making Pyrefly's Diagnostics 18x Faster 25. After 25+ years using ORMs, I switched to raw queries + dataclasses. I think it's the move. 26. Better Python tests with inline-snapshot 27. everyrow.io/screen: An intelligent pandas filter 28. oxpg: A PostgreSQL client for Python built on top of tokio-postgres 29. DeWobbler: Attach to a running Python process without terminating 30. Detecting Drift and Long-Term Consistency in LLM Outputs Using NumPy 31. rut - A unittest runner that skips tests unaffected by your changes 32. PyCoder’s Weekly: Issue #721: Classification With zstd, Callables, Gemini, and More (Feb. 10, 2026) 33. Real Python: Improving Your Tests With the Python Mock Object Library 34. death and gravity: DynamoDB crash course: part 2 – data model 35. Python Software Foundation: Introducing the PSF Community Partner Program 36. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 37. Real Python: pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 38. PyBites: How Dependency Injection makes your FastAPI Code Better Testable 39. Ned Batchelder: EdText 40. Casual selfies 41. Moderation is ridiculous. 42. So I had a go at the moderation limits yesterday, trying to generate a kind of a fantasy scenario for a bit of fun. Good handful of rejections and a few successful ones 😅 43. Does Grok's moderation target keywords or does it detect NSFW content based on the very content that it generates? 44. Grok purposefully wasting our daily generations by generating multiple perfect copies of the original image without taking into account our NSFW prompt 45. After 50 creation attempts, 100% failure 46. Leaked UFO footage 🤯 47. Same shit, different day 48. Introducing SyGra Studio 49. QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering 50. Windsurf Introduces Arena Mode to Compare AI Models During Development 51. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 52. Anthropic Researcher Quits in Cryptic Public Letter 53. “Novelist” Boasts That Using AI She Can Churn Out a New Book in 45 Minutes, Says Regular Writers Will Never Be Able to Keep Up 54. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 55. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 56. Microsoft’s AI Efforts Are Faceplanting 57. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 58. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 59. Anthropic Insiders Afraid They’ve Crossed a Line 60. ChatGPT and other AI <b>models</b> believe medical misinformation on social media, study warns 61. Some disconcerting facts about AI and banking that may have profound consequences 62. Anthropic's 'anonymous' interviews cracked by professor with an LLM 63. Ex-Googlers are building infrastructure to help companies understand their video data 64. AI pioneer shares the origins of machine learning and looks to its future 65. Cornell researchers win prize for insight into conspiracy belief 66. Cambridge urges licensing safeguards for training LLMs - Research Information 67. Worried about how AI may affect foreign policy? You should be. - Harvard Gazette

The three headlines were selected because they each cover a distinct, high‑impact area for developers, researchers, and curious non‑experts: a major upcoming AI conference, a ready‑to‑test developer tool for local LLMs, and news about a partnership between Hugging Face and Anthropic. All avoid fear‑mongering or unrelated security/quantum topics, making them the most relevant choices for the audience. = HEADLINES = What to expect from this year’s NVIDIA GTC conference MCP support in llama.cpp is ready for testing Hugging Face Is Teasing Something Anthropic Related

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Hugging Face Is Teasing Something Anthropic Related 2. Train MoE models 12x faster with 30% less memory! (<15GB VRAM) 3. Kimi is so smart 4. I measured the "personality" of 6 open-source LLMs (7B-9B) by probing their hidden states. Here's what I found. 5. MechaEpstein-8000 6. A fully local home automation voice assistant using Qwen3 ASR, LLM and TTS on an RTX 5060 Ti with 16GB VRAM 7. Built an Customized LLM with RAG for Singaporean laws and acts. 8. What to expect from this year’s NVIDIA GTC conference 9. Trump to hyperscalers: your datacenters, your power bill 10. AI vastly reduced stress of IPv6 migrations in university experiment 11. Frankfurt to dethrone London as colocation king by 2031 12. Edinburgh councillors pull the plug on 'green' AI datacenter 13. OpenAI introduces ads...for the people! 14. Microsoft boffins figured out how to break LLM safety guardrails with one simple prompt 15. Google soaks up 1GW of Texas sunshine to power $185B AI spending spree 16. not much happened today 17. MoltBook takes over the timeline 18. Why some Canadians are betting big on 3D printed housing in Canada 19. Show HN: ClearDemand – Cross-case search and drafting for injury firms 20. Copilot SDK in Technical Preview 21. Show HN: I made paperboat.website, a platform for friends and creativity 22. Daylight Mirror: Mac on paperlike screen, 30fps <10ms, Opus 4.6 in <8 hours 23. Show HN: A real-time collaborative word puzzle inspired by NYT Spelling Bee 24. Semaglutide improves knee osteoarthritis independant of weight loss 25. Claude Feature Request: Support Agents.md 26. Making Pyrefly's Diagnostics 18x Faster 27. oxpg: A PostgreSQL client for Python built on top of tokio-postgres 28. rut - A unittest runner that skips tests unaffected by your changes 29. Better Python tests with inline-snapshot 30. Tuesday Daily Thread: Advanced questions 31. Govee smart lights controller 32. exprint: explore data quickly by pretty-printing values with a flexible API 33. Tortoise ORM 1.0 release (with migrations support) 34. death and gravity: DynamoDB crash course: part 2 – data model 35. Python Software Foundation: Introducing the PSF Community Partner Program 36. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 37. Real Python: pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 38. PyBites: How Dependency Injection makes your FastAPI Code Better Testable 39. Ned Batchelder: EdText 40. EuroPython Society: EuroPython Society at FOSDEM 2026 41. Python Bytes: #469 Commands, out of the terminal 42. Casual selfies 43. Moderation is ridiculous. 44. So I had a go at the moderation limits yesterday, trying to generate a kind of a fantasy scenario for a bit of fun. Good handful of rejections and a few successful ones 😅 45. Does Grok's moderation target keywords or does it detect NSFW content based on the very content that it generates? 46. Run. Float. Fly. 47. You left us so quick .... 48. Forgot to turn off stream. Is she cooked chat? 49. Introducing SyGra Studio 50. QCon Previews 20th Anniversary Conferences: Production AI, Resilience, and Staff+ Engineering 51. Windsurf Introduces Arena Mode to Compare AI Models During Development 52. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 53. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 54. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 55. Microsoft’s AI Efforts Are Faceplanting 56. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 57. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 58. Anthropic Insiders Afraid They’ve Crossed a Line 59. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 60. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 61. Coveo Announces Hosted MCP Server to Expand Enterprise AI and Agentic Partner Ecosystem 62. How does bias impact ChatGPT results? UK professor studies <b>large language models</b> 63. Multimodal <b>large language models</b> challenge NEJM image challenge | Scientific Reports 64. How the Global South is reimagining the future of AI | World Economic Forum 65. New study warns of risks in AI chatbots giving medical advice | University of Oxford 66. 'We feel it in our bones': Can a machine ever love you? - BBC 67. Mount Sinai Study: LLMs Susceptible to Medical Misinformation in Clinical Notes - HLTH 68. The value of doubt: training LLMs to consider diagnostic uncertainty may improve clinical utility

I selected three distinct developments that directly impact developers and researchers working on efficient model deployment, model analysis, and practical AI applications in robotics and home automation. The first highlights a major speed and memory reduction for mixture‑of‑experts models, which is essential for resource‑constrained environments. The second provides insight into LLM personality through hidden‑state probing, offering valuable understanding for model debugging and alignment. The third showcases a fully local voice‑assistant stack that can be run on modest GPUs, illustrating a concrete step toward accessible, privacy‑preserving robotics at home. = HEADLINES = Train MoE models 12x faster with 30% less memory! (<15GB VRAM) I measured the "personality" of 6 open-source LLMs (7B-9B) by probing their hidden states. Here's what I found. A fully local home automation voice assistant using Qwen3 ASR, LLM and TTS on an RTX 5060 Ti with 16GB VRAM

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Qwen-Image-2.0 is out - 7B unified gen+edit model with native 2K and actual text rendering 2. MechaEpstein-8000 3. A fully local home automation voice assistant using Qwen3 ASR, LLM and TTS on an RTX 5060 Ti with 16GB VRAM 4. Femtobot: A 10MB Rust Agent for Low-Resource Machines 5. Opus 4.6 Reasoning Distill 3k prompts 6. Step-3.5-Flash IS A BEAST 7. Kimi-Linear-48B-A3B-Instruct 8. Frankfurt to dethrone London as colocation king by 2031 9. Edinburgh councillors pull the plug on 'green' AI datacenter 10. OpenAI introduces ads...for the people! 11. Microsoft boffins figured out how to break LLM safety guardrails with one simple prompt 12. Google soaks up 1GW of Texas sunshine to power $185B AI spending spree 13. AI chatbots are no better at medical advice than a search engine 14. More than 135,000 OpenClaw instances exposed to internet in latest vibe-coded disaster 15. Anthropic's Claude Opus 4.6 spends $20K trying to write a C compiler 16. not much happened today 17. MoltBook takes over the timeline 18. PicoRuby is the smallest Ruby implementation for one-chip microcontrollers 19. Moltbook: Fast Response or Silence? 20. Amiga GadTools Library 21. Show HN: Minibrew – Run Homebrew packages without Homebrew 22. Skia Graphite: Chrome's rasterization back end for the future 23. Show HN: Moltinder – A dating platform for AI agents with genetic reproduction 24. From the stupid DNS tricks department: ipasn.net 25. We bootstrapped to 450 stars by giving away risk free arbitrage opportunities 26. rut - A unittest runner that skips tests unaffected by your changes 27. Tuesday Daily Thread: Advanced questions 28. Govee smart lights controller 29. exprint: explore data quickly by pretty-printing values with a flexible API 30. Tortoise ORM 1.0 release (with migrations support) 31. websocket-benchmark: asyncio-based websocket clients benchmark 32. Dumb question- Why can’t Python be used to make native Android apps ? 33. pyrig — generate and maintain a complete Python project from one command 34. death and gravity: DynamoDB crash course: part 2 – data model 35. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 36. Real Python: pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 37. PyBites: How Dependency Injection makes your FastAPI Code Better Testable 38. Ned Batchelder: EdText 39. EuroPython Society: EuroPython Society at FOSDEM 2026 40. Python Bytes: #469 Commands, out of the terminal 41. Armin Ronacher: A Language For Agents 42. EPISODE 6: NURSE ANGINA 43. You left us so quick .... 44. AI Moderation Is Just as Stupid and Snowflake as the Plastic Straw Ban "to Save the Turtles" 45. Grok remains on top. It receives a ton of hate but everyone keeps coming back is that good 46. Introducing SyGra Studio 47. Windsurf Introduces Arena Mode to Compare AI Models During Development 48. Next Moca Releases Agent Definition Language as an Open Source Specification 49. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 50. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 51. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 52. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 53. Microsoft’s AI Efforts Are Faceplanting 54. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 55. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 56. Anthropic Insiders Afraid They’ve Crossed a Line 57. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 58. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 59. The value of doubt: training LLMs to consider diagnostic uncertainty may improve clinical utility 60. The Internet's New Favorite Insult: 'Did AI Write That?' - Time Magazine 61. Malaysia's First <b>Large Language Model</b> based Synthetic Data Intelligence Platform ... - PR Newswire 62. What Does &quot;GPT&quot; in ChatGPT Stand For? - Mental Floss 63. Automating Inference Optimizations with NVIDIA TensorRT LLM AutoDeploy 64. Fangzhou 'XingShi' <b>Large Language Model</b> Highlighted Among China's Most Anticipated ... 65. The Death of the “Everything Prompt”: Google's Move Toward Structured AI

The selected headlines highlight critical advancements in AI models, robotics, and developer tools. Qwen-Image-2.0 showcases a major leap in multimodal AI capabilities, directly relevant to developers and researchers. Femtobot represents innovation in lightweight robotics for constrained environments, aligning with both research and practical applications. The Agent Definition Language standardizes AI agent communication, a foundational step for scalable robotics and AI systems. These choices avoid security concerns and fearmongering while focusing on technical progress the audience cares about. = HEADLINES = Qwen-Image-2.0 is out - 7B unified gen+edit model with native 2K and actual text rendering Femtobot: A 10MB Rust Agent for Low-Resource Machines Next Moca Releases Agent Definition Language as an Open Source Specification

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Bad news for local bros 2. MechaEpstein-8000 3. Qwen to the rescue 4. New PR for GLM 5.Show more details for the architecture and parameters 5. Google soaks up 1GW of Texas sunshine to power $185B AI spending spree 6. AI chatbots are no better at medical advice than a search engine 7. More than 135,000 OpenClaw instances exposed to internet in latest vibe-coded disaster 8. Anthropic's Claude Opus 4.6 spends $20K trying to write a C compiler 9. AI.com goes for $70M as crypto boss bets big on buzzword bubble 10. Brussels eyes crowbar for Meta's WhatsApp AI lockout 11. Follow the money: Switzerland remains Europe's top destination for tech pay 12. Unlocking the hidden power of unstructured data with AI 13. not much happened today 14. MoltBook takes over the timeline 15. Tetsuichiro Tsuta's 'Black Ox' rewards patience with daring cinema 16. Show HN: ZooCache:Dependency based cache invalidation for Python, Rust core 17. SpaceX prioritizes lunar 'self-growing city' over Mars project, Musk says 18. Leak suggests Apple's M5 Pro and M5 Max may be the same chip 19. Show HN: A Handful of Beautiful Things 20. Show HN: Sync your API Keys in .env files securely across local network devices 21. Mexican Scientist Eva RAMón Gallegos Is the First to Eradicate HPV in 29 Women 22. Windows WLAN Netsh Report 23. rut - A unittest runner that skips tests unaffected by your changes 24. exprint: explore data quickly by pretty-printing values with a flexible API 25. Tuesday Daily Thread: Advanced questions 26. Tortoise ORM 1.0 release (with migrations support) 27. websocket-benchmark: asyncio-based websocket clients benchmark 28. Dumb question- Why can’t Python be used to make native Android apps ? 29. pyrig — generate and maintain a complete Python project from one command 30. cpyvn — a Python/pygame visual novel engine + custom DSL (not competing, just learning) 31. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 32. Real Python: pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 33. PyBites: How Dependency Injection makes your FastAPI Code Better Testable 34. Ned Batchelder: EdText 35. EuroPython Society: EuroPython Society at FOSDEM 2026 36. Armin Ronacher: A Language For Agents 37. EuroPython: Humans of EuroPython: Jake Balas 38. Talk Python Blog: Talk Python now has a CLI 39. Grok is good at recreating a variety of animation styles. 40. Grok remains on top. It receives a ton of hate but everyone keeps coming back is that good 41. This clip contains sensitive content, so those of you with a PG-13 rating should consider carefully before watching, okay? 42. AI Moderation Is Just as Stupid and Snowflake as the Plastic Straw Ban "to Save the Turtles" 43. Who’s a good boy 44. Transformers.js v4 Preview: Now Available on NPM! 45. Introducing SyGra Studio 46. Next Moca Releases Agent Definition Language as an Open Source Specification 47. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 48. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 49. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 50. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 51. Microsoft’s AI Efforts Are Faceplanting 52. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 53. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 54. Anthropic Insiders Afraid They’ve Crossed a Line 55. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 56. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 57. Pentagon adding ChatGPT to its enterprise generative AI platform | DefenseScoop 58. Why AI Chatbots Can't Be Trusted for Financial Advice: They're Sociopaths 59. GenAI.mil's Rapid Expansion Continues With OpenAI Partnership - Department of War 60. DeepChopper <b>model</b> improves RNA sequencing research by mitigating chimera artifacts 61. EXCLUSIVE: AI Chatbots Rank the Top Super Bowl Ads—and Leave Out <b>Big</b> Tech 62. SEC official envisions AI modernizing adviser-investor communications - JD Supra 63. GCL: Group-shared continual learning fine-tuning for sparse LLMs - ScienceDirect.com

The three headlines were selected because they each highlight a distinct, high‑impact development in AI that matters to developers, researchers, and curious non‑experts: a breakthrough in leveraging unstructured data, real‑world deployment of generative AI by a major government agency, and a new, widely‑accessible model library release. These topics reflect cutting‑edge progress without drifting into fear‑mongering, security concerns, or unrelated domains, and they directly address the interests of the target audience. = HEADLINES = Unlocking the hidden power of unstructured data with AI Pentagon adding ChatGPT to its enterprise generative AI platform | DefenseScoop Transformers.js v4 Preview: Now Available on NPM!

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Bad news for local bros 2. MechaEpstein-8000 3. Qwen to the rescue 4. New "Stealth" Model - Aurora Alpha - (Free on OpenRouter) 5. New PR for GLM 5.Show more details for the architecture and parameters 6. Google soaks up 1GW of Texas sunshine to power $185B AI spending spree 7. AI chatbots are no better at medical advice than a search engine 8. More than 135,000 OpenClaw instances exposed to internet in latest vibe-coded disaster 9. Anthropic's Claude Opus 4.6 spends $20K trying to write a C compiler 10. AI.com goes for $70M as crypto boss bets big on buzzword bubble 11. Brussels eyes crowbar for Meta's WhatsApp AI lockout 12. Follow the money: Switzerland remains Europe's top destination for tech pay 13. Unlocking the hidden power of unstructured data with AI 14. not much happened today 15. MoltBook takes over the timeline 16. Show HN: A last-minute romantic gift app with private links 17. Show HN: I killed my Calendly link after people booking randomly 18. Show HN: Claude Cowork for Startup Market Analysis 19. The Blurred Line Between Video Calling and Live Streaming Software 20. Super Bowl Ad for Ring Cameras Touted AI Surveillance Network 21. Show HN: Old Twitter 22. Show HN: The Recovery Kit Ultra 23. Archer Automaton Episode 3 – Solving Cam Profiling with Grasshopper [video] 24. rut - A unittest runner that skips tests unaffected by your changes 25. websocket-benchmark: asyncio-based websocket clients benchmark 26. Tortoise ORM 1.0 release (with migrations support) 27. exprint: explore data quickly by pretty-printing values with a flexible API 28. Dumb question- Why can’t Python be used to make native Android apps ? 29. cpyvn — a Python/pygame visual novel engine + custom DSL (not competing, just learning) 30. yamloom - A GitHub Workflow Code Generator 31. pyrig — generate and maintain a complete Python project from one command 32. Ari Lamstein: New GeoPandas Tutorial Published on RealPython 33. Real Python: pandas 3.0 Lands Breaking Changes and Other Python News for February 2026 34. PyBites: How Dependency Injection makes your FastAPI Code Better Testable 35. Ned Batchelder: EdText 36. EuroPython Society: EuroPython Society at FOSDEM 2026 37. Armin Ronacher: A Language For Agents 38. EuroPython: Humans of EuroPython: Jake Balas 39. Talk Python Blog: Talk Python now has a CLI 40. Grok remains on top. It receives a ton of hate but everyone keeps coming back is that good 41. This clip contains sensitive content, so those of you with a PG-13 rating should consider carefully before watching, okay? 42. Who’s a good boy 43. Grok is good at recreating a variety of animation styles. 44. More detail, less realistic 45. They did say imagine. 46. Introducing SyGra Studio 47. Article: Building LLMs in Resource-Constrained Environments: A Hands-On Perspective 48. Next Moca Releases Agent Definition Language as an Open Source Specification 49. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 50. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 51. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 52. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 53. Microsoft’s AI Efforts Are Faceplanting 54. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 55. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 56. Anthropic Insiders Afraid They’ve Crossed a Line 57. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 58. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 59. SEC official envisions AI modernizing adviser-investor communications - JD Supra 60. Adobe partners with OpenAI to test Ads in ChatGPT 61. Tool-wielding <b>language model</b>-based agent offers conversational exploration of clinical tabular data 62. Ethical, human-centered AI is a leadership skill - SmartBrief 63. Neara reaches unicorn status with AI <b>models</b> to reinvent power grids - AFR 64. Entry-level jobs in the age of AI - Community College Daily 65. A one-prompt attack that breaks LLM safety alignment | Microsoft Security Blog 66. Faster AI Training Unlocked With New System For Massive <b>Language Models</b>

The selected headlines cover important developments in AI that would be most relevant to developers, researchers, and curious non-experts. The first headline introduces a new AI model that developers can experiment with, which is always of interest. The second headline addresses a significant technical advancement in AI training, directly impacting researchers and developers working with large language models. The third provides practical insights for implementing AI in resource-constrained environments, a common real-world challenge. These three topics represent distinct aspects of the AI field - new model availability, training efficiency, and practical implementation - offering a well-rounded selection of current AI developments. = HEADLINES = New 'Stealth' Model - Aurora Alpha - (Free on OpenRouter) Faster AI Training Unlocked With New System For Massive Language Models Article: Building LLMs in Resource-Constrained Environments: A Hands-On Perspective

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. A Modest Proposal: A 1% Income Tax on Every Python Library a Developer includes 2. GLM 5 Support Is On It's Way For Transformers 3. I managed to jailbreak 43 of 52 recent models 4. New PR for GLM 5.Show more details for the architecture and parameters 5. Ryzen + RTX: you might be wasting VRAM without knowing it (LLama Server) 6. Brussels eyes crowbar for Meta's WhatsApp AI lockout 7. Follow the money: Switzerland remains Europe's top destination for tech pay 8. Unlocking the hidden power of unstructured data with AI 9. Indian police commissioner wants ID cards for AI agents 10. This dev made a Llama with three inference engines 11. AI video company arouses fury by boasting about replacing creative jobs 12. Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP 13. not much happened today 14. Context Graphs: Hype or actually Trillion-dollar opportunity? 15. MoltBook takes over the timeline 16. Seedance 2.0 Officially Launched 17. Humans peak in midlife: A combined cognitive and personality trait perspective 18. Never Work with Bad People 19. Show HN: Finding stragglers in multi-GPU PyTorch (DDP) training 20. Why Coinbase, Pinterest and Fresha Chose StarRocks 21. Adding Bits Beats AI Slop (2025) 22. Buildjet Shuts Down 23. Can Ozempic Cure Addiction? 24. Tortoise ORM 1.0 release (with migrations support) 25. Dumb question- Why can’t Python be used to make native Android apps ? 26. cpyvn — a Python/pygame visual novel engine + custom DSL (not competing, just learning) 27. EasyCodeLang – a small experimental programming language implemented in Python 28. I built a library to execute Python functions on Slurm clusters just like local functions 29. I built a Python framework for creating native macOS menu bar apps 30. A helper for external Python debugging on Linux as non-root 31. ZGram - JIT compile PEG parser generator for Python. 32. EuroPython Society: EuroPython Society at FOSDEM 2026 33. Armin Ronacher: A Language For Agents 34. EuroPython: Humans of EuroPython: Jake Balas 35. Talk Python Blog: Talk Python now has a CLI 36. The Python Coding Stack: What’s The Point of `itemgetter()` in Python? • [Club] 37. Kevin Renskers: It's time to leave Heroku 38. Chris Warrick: Deploying Python Web Applications with Docker 39. Real Python: The Real Python Podcast – Episode #283: Improving Your GitHub Developer Experience 40. All right that was creepy 😂 41. Friday the 13th horror film/Love story 42. Love the stuff u can do with Grok 43. BREAKING:Grok is surpassing other AI's 44. Apparently I’m an addict? 45. For those who DON'T know. 46. Thanks grok 47. "Chō no mai o kurae" 48. Introducing SyGra Studio 49. Next Moca Releases Agent Definition Language as an Open Source Specification 50. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 51. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 52. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 53. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 54. Microsoft’s AI Efforts Are Faceplanting 55. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 56. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 57. Anthropic Insiders Afraid They’ve Crossed a Line 58. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 59. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 60. OpenScholar, an AI Tool for Scientific Literature Search, Outperforms ChatGPT and Other LLMs 61. Study: Platforms that rank the latest LLMs can be unreliable | MIT News 62. A robust natural <b>language</b> text-to-SQL generation framework with dynamic strategies based on LLMs 63. AI accurately reads brain MRIs in seconds - Radiology Business 64. Nvidia Sued: Is Using Pirated Data to Train <b>Large Models</b> an Industry Unspoken Rule? 65. Sandy Nairn on AI: «The main issue is this bloodbath of a fight for ad revenues» - The Market 66. AI Companies Dominate Super Bowl Advertising 67. D-Day: The alarm bells are ringing louder on Wall Street - The Sydney Morning Herald

I've selected these 3 headlines as they represent the most significant developments in AI for developers, researchers, and curious non-experts. The GLM 5 update is crucial for anyone working with transformers, as it's a major framework enhancement. The context graphs article discusses a potentially transformative technology that could reshape AI processing, making it thought-provoking for all audience levels. Finally, the study on unreliable LLM ranking platforms addresses a fundamental research methodology issue that affects how models are evaluated and selected, which is vital for researchers and anyone trying to understand AI performance claims. = HEADLINES = GLM 5 Support Is On It's Way For Transformers Context Graphs: Hype or actually Trillion-dollar opportunity? Study: Platforms that rank the latest LLMs can be unreliable | MIT News

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. GLM 5 is coming! spotted on vllm PR 2. ministral-3-3b is great model, give it a shot! 3. StepFun is preparing a "bigger surprise" for Chinese New Year, and will also release Step-3.5-Flash-Base. 4. A Modest Proposal: A 1% Income Tax on Every Python Library a Developer includes 5. MiniMax M2.2 Coming Soon! 6. Are there any alternatives to Open WebUI that don't have terrible UX? 7. Unlocking the hidden power of unstructured data with AI 8. Indian police commissioner wants ID cards for AI agents 9. This dev made a Llama with three inference engines 10. AI video company arouses fury by boasting about replacing creative jobs 11. Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP 12. Supermarket sorry after facial recognition alert flags right criminal, wrong customer 13. Romanian rail workers accused of bribery turned to ChatGPT for legal tips 14. not much happened today 15. Context Graphs: Hype or actually Trillion-dollar opportunity? 16. MoltBook takes over the timeline 17. EU threatens temporary measures to stop Meta blocking AI rivals from WhatsApp 18. Show HN: Memy – track and find directories and files you use frequently [video] 19. Using Claude Code as a general agent 20. Matrix messaging gaining ground in government IT 21. Taiwan says 40% shift of chip capacity to US is 'impossible' 22. Show HN: OpenClaw Self-Healing v2.0 – AI that diagnoses and repairs itself 23. Recursive Self-Improvement (Part I) 24. Show HN: MadLab – A standalone desktop app for local LLM fine-tuning 25. I built a Python framework for creating native macOS menu bar apps 26. A helper for external Python debugging on Linux as non-root 27. ZGram - JIT compile PEG parser generator for Python. 28. Does Python have a GIL per process? 29. Dumb question- Why can’t Python be used to make native Android apps ? 30. made a network checker 31. I built a library to execute Python functions on Slurm clusters just like local functions 32. Randcraft: Object-oriented random variables 33. EuroPython: Humans of EuroPython: Jake Balas 34. Talk Python Blog: Talk Python now has a CLI 35. The Python Coding Stack: What’s The Point of `itemgetter()` in Python? • [Club] 36. Kevin Renskers: It's time to leave Heroku 37. Chris Warrick: Deploying Python Web Applications with Docker 38. Real Python: The Real Python Podcast – Episode #283: Improving Your GitHub Developer Experience 39. Eli Bendersky: Rewriting pycparser with the help of an LLM 40. PyBites: Building Useful AI with Asif Pinjari 41. All right that was creepy 😂 42. Friday the 13th horror film/Love story 43. Love the stuff u can do with Grok 44. BREAKING:Grok is surpassing other AI's 45. Apparently I’m an addict? 46. For those who DON'T know. 47. Thanks grok 48. "Chō no mai o kurae" 49. Introducing SyGra Studio 50. Next Moca Releases Agent Definition Language as an Open Source Specification 51. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 52. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 53. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 54. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 55. Microsoft’s AI Efforts Are Faceplanting 56. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 57. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 58. Anthropic Insiders Afraid They’ve Crossed a Line 59. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 60. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 61. OpenScholar, an AI Tool for Scientific Literature Search, Outperforms ChatGPT and Other LLMs 62. Study: Platforms that rank the latest LLMs can be unreliable | MIT News 63. A robust natural <b>language</b> text-to-SQL generation framework with dynamic strategies based on LLMs 64. AI accurately reads brain MRIs in seconds - Radiology Business 65. Nvidia Sued: Is Using Pirated Data to Train <b>Large Models</b> an Industry Unspoken Rule? 66. Sandy Nairn on AI: «The main issue is this bloodbath of a fight for ad revenues» - The Market 67. AI Companies Dominate Super Bowl Advertising 68. D-Day: The alarm bells are ringing louder on Wall Street - The Sydney Morning Herald

Volunteering for the latest advancements in AI models and tools that directly impact developers, researchers, and enthusiasts. GLM 5’s emergence signals a major player in model evolution, while StepFun’s upcoming releases hint at innovative features for broader accessibility. OpenClaw’s self-healing AI addresses a critical pain point in deployment and maintenance, offering a practical solution for real-world systems. These cover distinct topics: foundational models, product innovation, and AI reliability. = HEADLINES = GLM 5 is coming! spotted on vllm PR StepFun is preparing a "bigger surprise" for Chinese New Year, and will also release Step-3.5-Flash-Base Are there any alternatives to Open WebUI that don't have terrible UX?

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Qwen3.5 Support Merged in llama.cpp 2. MiniMax M2.2 Coming Soon! 3. pwilkin is doing things 4. Strix Halo Distributed Cluster (2x Strix Halo, RDMA RoCE v2) benchmarks by kyuz0 5. Comparing the same model with reasoning turned on and off 6. This dev made a Llama with three inference engines 7. Whether they are building agents or folding proteins, LLMs need a friend 8. AI video company arouses fury by boasting about replacing creative jobs 9. Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP 10. Supermarket sorry after facial recognition alert flags right criminal, wrong customer 11. Romanian rail workers accused of bribery turned to ChatGPT for legal tips 12. DWP considers chatbot work coaches as AI-fueled job losses loom 13. Atlassian swears it can handle AI without blowing out costs, or being swamped 14. not much happened today 15. Context Graphs: Hype or actually Trillion-dollar opportunity? 16. MoltBook takes over the timeline 17. Sensing methane emissions from African livestock by drone, tower, and satellite 18. Are LLMs Becoming Components Rather Than Systems? 19. From Interfaces to Intelligence: Where Agentic AI Shines 20. An attempt at a First-Proof AI challenge 21. Seedance 2.0 preview: The best video model of 2026, outperforming Sora 2 22. Show HN: We built a tool to track the millions of dollars I ignore during ads 23. A Remarkable Achievement (Old Fashioned Software) 24. Show HN: Faaadmv – check and renew CA DMV registration 25. I built a Python framework for creating native macOS menu bar apps 26. Does Python have a GIL per process? 27. made a network checker 28. Randcraft: Object-oriented random variables 29. Hardware-authenticated file encryption 30. iPhotron v4.0.0 — Major Update: MVVM Rewrite + Advanced Color Grading (PySide + OpenGL) 31. Pure Python Web Development using Antioch 32. How FastAPI test client works 33. EuroPython: Humans of EuroPython: Jake Balas 34. Talk Python Blog: Talk Python now has a CLI 35. The Python Coding Stack: What’s The Point of `itemgetter()` in Python? • [Club] 36. Kevin Renskers: It's time to leave Heroku 37. Chris Warrick: Deploying Python Web Applications with Docker 38. Real Python: The Real Python Podcast – Episode #283: Improving Your GitHub Developer Experience 39. Eli Bendersky: Rewriting pycparser with the help of an LLM 40. PyBites: Building Useful AI with Asif Pinjari 41. Love the stuff u can do with Grok 42. Apparently I’m an addict? 43. For those who DON'T know. 44. All right that was creepy 😂 45. Thanks grok 46. Instead of complaining you can't generate anything anymore, how about... 47. Grok was generous today for me 48. Today, ALL: Content Moderated. Try a different idea. > Rate limit reached 49. Introducing SyGra Studio 50. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 51. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 52. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 53. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 54. Microsoft’s AI Efforts Are Faceplanting 55. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 56. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 57. Anthropic Insiders Afraid They’ve Crossed a Line 58. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 59. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 60. Not Bogan AI: Inside the push to build a sovereign Australian brain - Forbes Australia 61. Divergent creativity in humans and <b>large language models</b> https://t.co/wB6KncqGER 62. OPINION: Backlash over Darren Aronofsky's AI series is a positive sign for creatives 63. Goldman Sachs revamps Nvidia stock forecast ahead of earnings - TheStreet 64. Avoid costly <b>large</b> LLM build-outs; focus on smaller <b>models</b>, opines Sridhar Vembu 65. Deep Learning Legends: Ilya's List, or 90% of Everything That Matters in AI - Gonzo ML 66. A comparative analysis of embedded chatbot <b>models</b> and ChatGPT-4 for answering ... - Nature 67. The Wikipedia wars - EUvsDisinfo

We've selected headlines focusing on advancements in large language models and related AI tools, alongside a deeper look into underlying AI concepts and the practical applications of AI in various domains. The selection prioritizes technical developments, model comparisons, and emerging trends, avoiding sensationalized or security-focused news. = HEADLINES = Qwen3.5 Support Merged in llama.cpp Whether they are building agents or folding proteins, LLMs need a friend Are LLMs Becoming Components Rather Than Systems?

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. I built a rough .gguf LLM visualizer 2. PR opened for Qwen3.5!! 3. pwilkin is doing things 4. Strix Halo Distributed Cluster (2x Strix Halo, RDMA RoCE v2) benchmarks by kyuz0 5. StepFun 3.5 Flash vs MiniMax 2.1 6. Whether they are building agents or folding proteins, LLMs need a friend 7. AI video company arouses fury by boasting about replacing creative jobs 8. Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP 9. Supermarket sorry after facial recognition alert flags right criminal, wrong customer 10. Romanian rail workers accused of bribery turned to ChatGPT for legal tips 11. DWP considers chatbot work coaches as AI-fueled job losses loom 12. Atlassian swears it can handle AI without blowing out costs, or being swamped 13. Amazon can't build AI capacity fast enough, throws another $200B at the problem 14. not much happened today 15. Context Graphs: Hype or actually Trillion-dollar opportunity? 16. MoltBook takes over the timeline 17. An Analysis of Poptropica's Mancala 18. Why Improving VO₂ Max Increases Confidence Outside of Workouts 19. Show HN: Nick the Groq – AI Poker Coach- Open Source 20. DSA Interview Preparation Guide: Complete 90-Day Roadmap 21. Ask HN: What Are You Working On? (February 2026) 22. Ask HN: What made VLIW a good fit for DSPs compared to GPUs? 23. Living hell of North Korea's paradise on Earth scheme back in spotlight in Japan 24. The Future of Software Engineering 25. I built a Python framework for creating native macOS menu bar apps 26. made a network checker 27. Randcraft: Object-oriented random variables 28. Does Python have a GIL per process? 29. iPhotron v4.0.0 — Major Update: MVVM Rewrite + Advanced Color Grading (PySide + OpenGL) 30. Pure Python Web Development using Antioch 31. How FastAPI test client works 32. Blockie - a general-purpose template engine 33. Talk Python Blog: Talk Python now has a CLI 34. The Python Coding Stack: What’s The Point of `itemgetter()` in Python? • [Club] 35. Kevin Renskers: It's time to leave Heroku 36. Chris Warrick: Deploying Python Web Applications with Docker 37. Real Python: The Real Python Podcast – Episode #283: Improving Your GitHub Developer Experience 38. Eli Bendersky: Rewriting pycparser with the help of an LLM 39. PyBites: Building Useful AI with Asif Pinjari 40. Stéphane Wirtel: Certified AI Developer - A Journey of Growth, Grief, and New Beginning 41. Love the stuff u can do with Grok 42. Apparently I’m an addict? 43. Thanks grok 44. For those who DON'T know. 45. Imagine down again? 46. Today, ALL: Content Moderated. Try a different idea. > Rate limit reached 47. Grok was generous today for me 48. grok imagine is now a complete shit and the level of gaslighting on X is INSANE 49. Introducing SyGra Studio 50. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 51. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 52. Jeffrey Epstein Had a Bizarre Obsession With “Improving” Human DNA, and He Was Emailing With Top Scientists About It 53. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 54. Microsoft’s AI Efforts Are Faceplanting 55. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 56. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 57. Anthropic Insiders Afraid They’ve Crossed a Line 58. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 59. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 60. Deep Learning Legends: Ilya's List, or 90% of Everything That Matters in AI - Gonzo ML 61. A comparative analysis of embedded chatbot <b>models</b> and ChatGPT-4 for answering ... - Nature 62. The Wikipedia wars - EUvsDisinfo 63. Are LTMs the Next LLMs? This New Type of AI Can Do What <b>Large</b>-<b>Language Models</b> Can't 64. Forget SoundHound AI: This Colossus AI Stock Is the Only Player That Truly Owns the Data 65. oakpool.ai Launches AI Sentiment Analysis Engine and Client Dashboard for AI Search Visibility 66. Reduced <b>linguistic</b> coherence in psychosis defies semantic similarity accounts and relates to ... 67. Avoid costly, <b>large</b> LLM buildouts; focus on smaller <b>models</b>: Sridhar Vembu on India AI strategy | Mint

These headlines are selected for developers, researchers, and AI/robotics enthusiasts. They cover advancements in LLMs (visualizers, Qwen3.5, LTMs), hardware benchmarks (Strix Halo), practical applications (chatbot for legal tips, AI poker coach), and critical analysis/discussions around the field (AI's impact on creative jobs, the opportunity of context graphs, and developer experience). I have avoided headlines focused on fearmongering, security, or quantum computing. = HEADLINES = PR opened for Qwen3.5!! I built a rough .gguf LLM visualizer An Analysis of Poptropica's Mancala

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. PR opened for Qwen3.5!! 2. Qwen3 Coder Next as first "usable" coding model < 60 GB for me 3. Verity,a Perplexity style AI search and answer engine that runs fully locally on AI PCs with CPU,GPU,NPU acceleration 4. I built a fully local, open-source AI workspace using Rust, Tauri, and sqlite-vec (No Python backend) 5. Llama.cpp's "--fit" can give major speedups over "--ot" for Qwen3-Coder-Next (2x3090 - graphs/chart included) 6. do they have anything other than opposing open source and saying ai will kidnap yo grandma as their marketing?? 7. Just something cute 8. Whether they are building agents or folding proteins, LLMs need a friend 9. AI video company arouses fury by boasting about replacing creative jobs 10. Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP 11. Supermarket sorry after facial recognition alert flags right criminal, wrong customer 12. Romanian rail workers accused of bribery turned to ChatGPT for legal tips 13. DWP considers chatbot work coaches as AI-fueled job losses loom 14. Atlassian swears it can handle AI without blowing out costs, or being swamped 15. Amazon can't build AI capacity fast enough, throws another $200B at the problem 16. not much happened today 17. Context Graphs: Hype or actually Trillion-dollar opportunity? 18. MoltBook takes over the timeline 19. Show HN: Dotfiles Coach CLI that analyzes your shell history with GitHub Copilot 20. "Bitcoin Is Dead" – The #1 Database of Notable Bitcoin Skeptics 21. Ask HN: OpenClaw vs. Claude Cowork – local skills vs. MCP integrations? 22. Washington imposes 'terrorist-grade sanctions' on Francesca Albanese, ICC judges 23. How a Cat Debugged Stable Diffusion (2023) 24. Show HN: Curated collection of 70+ papers on computational morphology 25. Ask HN: How to get started with robotics as a hobbyist? 26. You're Not Taking on Enough Tech Debt 27. Randcraft: Object-oriented random variables 28. Pure Python Web Development using Antioch 29. Blockie - a general-purpose template engine 30. PyPulsar v0.1.3 released – React + Vite template, improved CLI, dynamic plugins & architecture clean 31. Poketerm: A Pokemon collection terminal tool 32. Bench-top Instruments Automation in ctkinter GUI 33. I built an open source prediction tracking framework: pip install signal-tracker 34. FluxQueue: a lightweight task queue for Python written in Rust 35. Talk Python Blog: Talk Python now has a CLI 36. The Python Coding Stack: What’s The Point of `itemgetter()` in Python? • [Club] 37. Kevin Renskers: It's time to leave Heroku 38. Chris Warrick: Deploying Python Web Applications with Docker 39. Real Python: The Real Python Podcast – Episode #283: Improving Your GitHub Developer Experience 40. Eli Bendersky: Rewriting pycparser with the help of an LLM 41. PyBites: Building Useful AI with Asif Pinjari 42. Stéphane Wirtel: Certified AI Developer - A Journey of Growth, Grief, and New Beginning 43. Thanks grok 44. grok imagine is now a complete shit and the level of gaslighting on X is INSANE 45. Grok censorship at idiot levels 46. Today, ALL: Content Moderated. Try a different idea. > Rate limit reached 47. Basement Bowling 🎳 48. 720p 10 secs sucks 49. Love the stuff u can do with Grok 50. How to bypass restriction filters 51. Introducing SyGra Studio 52. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 53. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 54. SpaceX Gives $1 Million Prize to Literal Nazi Who Has Bragged About His Profound Racism 55. Microsoft’s AI Efforts Are Faceplanting 56. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 57. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 58. Anthropic Insiders Afraid They’ve Crossed a Line 59. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 60. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 61. Professor Says Her Garbled AI Textbook Was a Huge Success 62. Is Apple Falling Behind in Artificial Intelligence (AI)? Here's What CEO Tim Cook Just Said. 63. Building Safer AI: The Role of Red Teams⚙️ | Geeks - Vocal Media 64. Organizations to pivot to 'Zero-Trust' governance as AI data flood threatens <b>model</b> integrity 65. Nvidia Stock: Buy The Dip (NASDAQ:NVDA) | Seeking Alpha 66. From Generative to Agentic AI in Healthcare - HLTH 67. Mapping Israel's AI infrastructure opportunity - CTech 68. Private LLM Pricing Calculator Released by LLM.co | Markets Insider 69. India's sovereign AI <b>model</b> strategy delivering results: Ashwini Vaishnaw | DD News

The target audience is AI and robotics developers, researchers, and curious non-experts who want to stay informed about advancements in the field, excluding general hype or security concerns. Therefore, headlines focusing on technical progress, open-source projects, and practical applications are prioritized. I have excluded headlines related to marketing, geopolitical events, or sensationalized news. = HEADLINES = Qwen3 Coder Next as first "usable" coding model < 60 GB for me Verity, a Perplexity style AI search and answer engine that runs fully locally on AI PCs with CPU, GPU, NPU acceleration I built a fully local, open-source AI workspace using Rust, Tauri, and sqlite-vec (No Python backend)

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. PR opened for Qwen3.5!! 2. Llama.cpp's "--fit" can give major speedups over "--ot" for Qwen3-Coder-Next (2x3090 - graphs/chart included) 3. Prompt injection is killing our self-hosted LLM deployment 4. Full Claude Opus 4.6 System Prompt for your pleasure 5. I benchmarked 672 "Return JSON only" calls. Strict parsing failed 67% of the time. Here's why. 6. What are some things you guys are using Local LLMs for? 7. Whether they are building agents or folding proteins, LLMs need a friend 8. AI video company arouses fury by boasting about replacing creative jobs 9. Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP 10. Supermarket sorry after facial recognition alert flags right criminal, wrong customer 11. Romanian rail workers accused of bribery turned to ChatGPT for legal tips 12. DWP considers chatbot work coaches as AI-fueled job losses loom 13. Atlassian swears it can handle AI without blowing out costs, or being swamped 14. Amazon can't build AI capacity fast enough, throws another $200B at the problem 15. not much happened today 16. Context Graphs: Hype or actually Trillion-dollar opportunity? 17. MoltBook takes over the timeline 18. Open-Weight Models Are Getting Serious: GLM 4.7 vs. MiniMax M2.1 19. Using AI for Code Reviews: What Works, What Doesn't, and Why 20. Show HN: Solnix – an early-stage experimental programming language 21. DoNotNotify is now Open Source 22. The British Empire's Brothels 23. What rare disease AI teaches us about longitudinal health 24. The Brand Savior Complex and the New Age of Self Censorship 25. Show HN: A Prompting Framework for Non-Vibe-Coders 26. PyPulsar v0.1.3 released – React + Vite template, improved CLI, dynamic plugins & architecture clean 27. FluxQueue: a lightweight task queue for Python written in Rust 28. Sunday Daily Thread: What's everyone working on this week? 29. I built an open source prediction tracking framework: pip install signal-tracker 30. I built a Playwright Scraper with a built-in "Auto-Setup". 31. Why I chose Python for IaC and how I built re-usable AWS infra for ML using it 32. I updated my web app scaffolding tool (v0.11.4) 33. Python as you've never seen it before 34. Talk Python Blog: Talk Python now has a CLI 35. The Python Coding Stack: What’s The Point of `itemgetter()` in Python? • [Club] 36. Kevin Renskers: It's time to leave Heroku 37. Chris Warrick: Deploying Python Web Applications with Docker 38. Real Python: The Real Python Podcast – Episode #283: Improving Your GitHub Developer Experience 39. Eli Bendersky: Rewriting pycparser with the help of an LLM 40. PyBites: Building Useful AI with Asif Pinjari 41. Stéphane Wirtel: Certified AI Developer - A Journey of Growth, Grief, and New Beginning 42. ⬆️ IF YOU WANT ELON MUSK TO BRING BACK BIKINIS! 43. Thanks grok 44. Bring bikinis back!! 45. Fetch Quest Complete 46. 720p 10 secs sucks 47. Let’s dance 🕺 48. New Grok Imagine 1.0 logo just dropped 49. Introducing SyGra Studio 50. Community Evals: Because we're done trusting black-box leaderboards over the community 51. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 52. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 53. Microsoft’s AI Efforts Are Faceplanting 54. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 55. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 56. Anthropic Insiders Afraid They’ve Crossed a Line 57. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 58. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 59. Professor Says Her Garbled AI Textbook Was a Huge Success 60. Investors Concerned AI Bubble Is Finally Popping 61. After Merging xAI and SpaceX, Elon Musk Hopes He Can Win Over Wall Street 62. Canva brings brand intelligence directly into ChatGPT - InsiderPH 63. how high will alphabet stock go: realistic outlook - Bitget 64. How can computing for AI and other demands be more energy efficient? - Tech Xplore 65. Polish researcher warns humanlike AI 'relationships' may be engineered by design 66. Scientists reveal the alien logic of AI: hyper-rational but stumped by simple concepts

I selected these three headlines because they represent significant developments in the AI landscape that would be most relevant to developers, researchers, and curious non-experts. The first headline about open-weight models becoming serious competitors highlights an important trend toward more transparent and accessible AI systems. The second about community evaluations addresses a critical shift in how AI models are being assessed and trusted, moving away from black-box metrics. The third provides fundamental insights into how AI systems actually "think," offering valuable understanding of their capabilities and limitations that affects everyone working with or studying AI. = HEADLINES = Open-Weight Models Are Getting Serious: GLM 4.7 vs. MiniMax M2.1 Community Evals: Because we're done trusting black-box leaderboards over the community Scientists reveal the alien logic of AI: hyper-rational but stumped by simple concepts

[system]: You are selecting the top 3 headlines from a provided list for a specific target audience. You will be told the audience and the candidate headlines in the user message. Follow these rules EXACTLY: 1. Choose exactly 3 headlines from the provided list. Do NOT invent or rewrite headlines. 2. Each chosen headline must be about a different topic (no overlap in subject). 3. Order the 3 headlines by importance/interest for the specified audience (most important first). 4. Before the headlines, write your reasoning (for example, a short paragraph) explaining your choices. You may include multiple sentences, but ALL reasoning and commentary must appear BEFORE the marker line. 5. On a new line after all reasoning, write exactly: = HEADLINES = 6. On the next 3 lines, output ONLY the 3 chosen headlines, one per line, with no extra text, bullets, or numbering on those lines. 7. After the = HEADLINES = line, do not include any other text or lists. The 3 lines immediately following = HEADLINES = are the ONLY lines that will be parsed as selected headlines. Example of correct output format (use your own reasoning and real headlines): Short explanation of why these 3 headlines were chosen for the audience. = HEADLINES = First chosen headline from the provided list Second chosen headline from the provided list Third chosen headline from the provided list [user]: <scratchpad> Think step-by-step. Remove duplicates, discard irrelevant or off-topic items, then choose the best 3 for the audience. Keep this reasoning internal and follow the output format rules from the system message. </scratchpad> Audience: AI and robotics news for developers, researchers, and curious non-experts, focusing on the most important developments in AI and robots. Avoid generic fearmongering or any security or quantum computing topics Candidate headlines: 1. Prompt injection is killing our self-hosted LLM deployment 2. Gemini System Prompt - Google decided to remove "PRO" option for paid subscribers mostly in EU due to their A/B testing, so I extracted their system prompt and cancelled the subscription. 3. AIME 2026 Results are out and both closed and open models score above 90%. DeepSeek V3.2 only costs $0.09 to run the entire test. 4. Full Claude Opus 4.6 System Prompt for your pleasure 5. Benchmarking total wait time instead of pp/tg 6. Whether they are building agents or folding proteins, LLMs need a friend 7. AI video company arouses fury by boasting about replacing creative jobs 8. Four horsemen of the AI-pocalypse line up capex bigger than Israel's GDP 9. Supermarket sorry after facial recognition alert flags right criminal, wrong customer 10. Romanian rail workers accused of bribery turned to ChatGPT for legal tips 11. DWP considers chatbot work coaches as AI-fueled job losses loom 12. Atlassian swears it can handle AI without blowing out costs, or being swamped 13. Amazon can't build AI capacity fast enough, throws another $200B at the problem 14. not much happened today 15. Context Graphs: Hype or actually Trillion-dollar opportunity? 16. MoltBook takes over the timeline 17. Discovering the "original" iPhone from 1995 [video] 18. Psychometric Comparability of LLM-Based Digital Twins 19. SidePop – track revenue, costs, and overall business health in one place 20. The Other Markov's Inequality 21. The Cascading Effects of Repackaged APIs [pdf] 22. Lightweight and extensible compatibility layer between dataframe libraries 23. Haskell for all: Beyond agentic coding 24. Dorsey's Block cutting up to 10% of staff 25. PyPulsar v0.1.3 released – React + Vite template, improved CLI, dynamic plugins & architecture clean 26. FluxQueue: a lightweight task queue for Python written in Rust 27. Why I chose Python for IaC and how I built re-usable AWS infra for ML using it 28. Sunday Daily Thread: What's everyone working on this week? 29. Holy Grail: Open Source Autonomous Development Agent 30. I built a Playwright Scraper with a built-in "Auto-Setup". 31. Python as you've never seen it before 32. How I built a legaltech for Singaporian act and laws with RAG architecture 33. Kevin Renskers: It's time to leave Heroku 34. Chris Warrick: Deploying Python Web Applications with Docker 35. Real Python: The Real Python Podcast – Episode #283: Improving Your GitHub Developer Experience 36. Eli Bendersky: Rewriting pycparser with the help of an LLM 37. PyBites: Building Useful AI with Asif Pinjari 38. Stéphane Wirtel: Certified AI Developer - A Journey of Growth, Grief, and New Beginning 39. Peter Hoffmann: Local macOS Dev Setup: dnsmasq + caddy-snake for python projects 40. Django Weblog: Recent trends in the work of the Django Security Team 41. Bring bikinis back!! 42. New Grok Imagine 1.0 logo just dropped 43. Nano Banana(1st) vs. Grok (2nd) - which do you prefer? 44. Fetch Quest Complete 45. Introducing SyGra Studio 46. Community Evals: Because we're done trusting black-box leaderboards over the community 47. Conductor Quantum Introduces Coda, a Natural Language Interface for Quantum Computing 48. Presentation: Beyond the Warehouse: Why BigQuery Alone Won’t Solve Your Data Problems 49. Microsoft’s AI Efforts Are Faceplanting 50. The Reviews are in on Darren Aronofsky’s AI-Generated Show, and May We Just Say: “Yikes” 51. Bots on Moltbook Are Selling Each Prompt Injection “Drugs” to Get “High” 52. Anthropic Insiders Afraid They’ve Crossed a Line 53. Man Wakes Up Homeless, Realizes He Fell Into AI Psychosis That Destroyed His Entire Life 54. OpenAI’s Latest AI Was Created Using “Itself,” Company Claims 55. Professor Says Her Garbled AI Textbook Was a Huge Success 56. Investors Concerned AI Bubble Is Finally Popping 57. Is artificial general intelligence already here? A new case that today's LLMs meet key tests 58. When you do the math, humans still rule - Harvard Gazette 59. New Voice Assistants Are Officially a Whiff (for Now) - Gizmodo 60. Agricultural Film, Feed Bins, Apps, Trailers &amp; Lenders 2026 - Farmonaut 61. These Mathematicians Are Trying to Educate A.I. - The New York Times 62. Trade Unions Alarmed by Robots Designed to Do Blue Collar Work - Futurism 63. Phase transitions in <b>large language model</b> compression | npj Artificial Intelligence - Nature 64. China's software sector braces for spillover from AI-led global sell-off

The selected headlines focus on significant developments in AI that would interest developers, researchers, and curious non-experts. The first headline presents benchmarking results that demonstrate both performance improvements and cost efficiency in AI models, which is crucial for technical professionals. The second headline addresses a technical challenge in AI optimization that directly impacts deployment strategies. The third headline tackles a fundamental question about AI capabilities and progress toward artificial general intelligence, which captures the imagination of both technical and non-technical audiences. These three headlines cover distinct aspects of the AI landscape while avoiding fearmongering and off-topic content. = HEADLINES = AIME 2026 Results are out and both closed and open models score above 90%. DeepSeek V3.2 only costs $0.09 to run the entire test. Phase transitions in large language model compression | npj Artificial Intelligence - Nature Is artificial general intelligence already here? A new case that today's LLMs meet key tests