Generated by mistralai/mistral-small-3.2-24b-instruct | View LLM Process
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LLM Process
Model: None |
Status: Failed (No available models)
Prompt:
[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]:
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.
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. The tried to make me go to rehab. I said no no no…
2. It looks like there are no plans for smaller GLM models
3. Gemma 4 26B A4B is still fully capable at 245283/262144 (94%) contex !
4. Why is my ollama gemma4 replying in Japanese?
5. Intel Arc Pro B70 32GB performance on Qwen3.5-27B@Q4
6. Microsoft's Copilot strategy is just more user abuse from Redmond, says Mozilla
7. Amazon would rather shareholders did not look too closely at carbon footprint
8. Suits won't quit AI spending, even if they can't prove it's working
9. Project Glasswing and open source software: The good, the bad, and the ugly
10. Chatbots are great at manipulating people to buy stuff, Princeton boffins find
11. Anthropic will let your agents sleep on its couch
12. How Gartner will help accelerate and scale your AI strategy
13. not much happened today
14. Anthropic @ $30B ARR, Project GlassWing and Claude Mythos Preview — first model too dangerous to release since GPT-2
15. Cpuid hacked to deliver malware via CPU-Z, HWMonitor downloads
16. Sad, Sad Video of Dude Checking on the Trump Phone He Ordered
17. The Problem That Built an Industry
18. LinkedIn Pulse Lost 85% of Its Organic Traffic in the Last Two Years
19. In Defense of Rediscovery
20. Framechart – Turn CSV data into animated chart videos
21. Can OpenClaw and Claude be better than therapy?
22. Show HN: Helix – open-source self-healing back end for production crashes
23. Pure Python library for drawing IEC 60617 electrical schematics (not electronics)
24. Saturday Daily Thread: Resource Request and Sharing! Daily Thread
25. Friday Daily Thread: r/Python Meta and Free-Talk Fridays
26. AI - Generated Code
27. FastAPI vs Djanjo
28. Tutorial: Decentralized AI in 50 Lines of Python
29. What constitutes AI slop? Discussion thread
30. Tutorial: How to build a simple Python text-to-SQL agent that can automatically recover from bad SQL
31. Talk Python to Me: #544: Wheel Next + Packaging PEPs
32. PyCharm: How (Not) to Learn Python
33. Ahmed Bouchefra: Build Your Own AI Meme Matcher: A Beginner's Guide to Computer Vision with Python
34. Real Python: The Real Python Podcast – Episode #290: Advice on Managing Projects & Making Python Classes Friendly
35. Real Python: Quiz: Exploring Protocols in Python
36. Rodrigo Girão Serrão: Who wants to be a millionaire: iterables edition
37. Rodrigo Girão Serrão: uv skills for coding agents
38. Real Python: Quiz: Reading Input and Writing Output in Python
39. Life with grok (continued)
40. Come Closer
41. Korean mom waking up.
42. Sooo I think Spicy mode is going , More moderation incoming
43. Wizarding World of Grok
44. Retroactively moderated out of existence. Gone from my imagine page along with another similar video.
45. 私の最初のプロジェクトは10月にGrokで過ごしました
46. Falcon Perception
47. Any Custom Frontend with Gradio's Backend
48. Etsy Migrates 1000-Shard, 425 TB MySQL Sharding Architecture to Vitess
49. Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities
50. AAIF's MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening
51. Google Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents
52. Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization
53. Article: Stateful Continuation for AI Agents: Why Transport Layers Now Matter
54. Foolish Pollsters Are Now Just Asking AI What Voters Would Say in Response to Questions and Publishing It at Face Value
55. OpenAI Says It’s Already Made $100 Million by Stuffing ChatGPT With Ads
56. AI Is Causing Healthcare Costs to Surge
57. There’s a Mass Rebellion Against AI in the Workplace
58. People Who Lose Their Job to AI Are in for a World of Pain, Goldman Sachs Report Finds
59. OpenAI Says Not to Worry About UBI, Because It Has Another Idea
60. Someone Just Threw a Molotov Cocktail At Sam Altman’s House
61. New York Times Makes Substantial Changes to Article That Glazed a Sleazy AI Startup: “Our Piece Should Have Included That Information”
62. Where Are We Now? Benchmarking Large Language Models (LLMs) in Computed Tomography (CT)
63. Vibe check from inside one of AI industry's main events: 'Claude mania' - CNBC
64. These niche AI startups are trying to protect the Pentagon's secrets - Fortune
65. Intuit compressed months of tax code implementation into hours — and built a workflow any ...
66. LaMGen: LLM-based 3D molecular generation for multi-target drug design - Nature
67. How 'fears' about Anthropic's AI model Mythos made CEOs of Google, OpenAI, Microsoft ...
68. LLM Market Share: Compare Usage & Adoption - AIMultiple
Model: None |
Status: Failed (No available models)
Prompt:
[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]:
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.
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. The tried to make me go to rehab. I said no no no…
2. It looks like there are no plans for smaller GLM models
3. Gemma 4 26B A4B is still fully capable at 245283/262144 (94%) contex !
4. Why is my ollama gemma4 replying in Japanese?
5. Intel Arc Pro B70 32GB performance on Qwen3.5-27B@Q4
6. Microsoft's Copilot strategy is just more user abuse from Redmond, says Mozilla
7. Amazon would rather shareholders did not look too closely at carbon footprint
8. Suits won't quit AI spending, even if they can't prove it's working
9. Project Glasswing and open source software: The good, the bad, and the ugly
10. Chatbots are great at manipulating people to buy stuff, Princeton boffins find
11. Anthropic will let your agents sleep on its couch
12. How Gartner will help accelerate and scale your AI strategy
13. not much happened today
14. Anthropic @ $30B ARR, Project GlassWing and Claude Mythos Preview — first model too dangerous to release since GPT-2
15. Cpuid hacked to deliver malware via CPU-Z, HWMonitor downloads
16. Sad, Sad Video of Dude Checking on the Trump Phone He Ordered
17. The Problem That Built an Industry
18. LinkedIn Pulse Lost 85% of Its Organic Traffic in the Last Two Years
19. In Defense of Rediscovery
20. Framechart – Turn CSV data into animated chart videos
21. Can OpenClaw and Claude be better than therapy?
22. Show HN: Helix – open-source self-healing back end for production crashes
23. Pure Python library for drawing IEC 60617 electrical schematics (not electronics)
24. Saturday Daily Thread: Resource Request and Sharing! Daily Thread
25. Friday Daily Thread: r/Python Meta and Free-Talk Fridays
26. AI - Generated Code
27. FastAPI vs Djanjo
28. Tutorial: Decentralized AI in 50 Lines of Python
29. What constitutes AI slop? Discussion thread
30. Tutorial: How to build a simple Python text-to-SQL agent that can automatically recover from bad SQL
31. Talk Python to Me: #544: Wheel Next + Packaging PEPs
32. PyCharm: How (Not) to Learn Python
33. Ahmed Bouchefra: Build Your Own AI Meme Matcher: A Beginner's Guide to Computer Vision with Python
34. Real Python: The Real Python Podcast – Episode #290: Advice on Managing Projects & Making Python Classes Friendly
35. Real Python: Quiz: Exploring Protocols in Python
36. Rodrigo Girão Serrão: Who wants to be a millionaire: iterables edition
37. Rodrigo Girão Serrão: uv skills for coding agents
38. Real Python: Quiz: Reading Input and Writing Output in Python
39. Life with grok (continued)
40. Come Closer
41. Korean mom waking up.
42. Sooo I think Spicy mode is going , More moderation incoming
43. Wizarding World of Grok
44. Retroactively moderated out of existence. Gone from my imagine page along with another similar video.
45. 私の最初のプロジェクトは10月にGrokで過ごしました
46. Falcon Perception
47. Any Custom Frontend with Gradio's Backend
48. Etsy Migrates 1000-Shard, 425 TB MySQL Sharding Architecture to Vitess
49. Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities
50. AAIF's MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening
51. Google Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents
52. Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization
53. Article: Stateful Continuation for AI Agents: Why Transport Layers Now Matter
54. Foolish Pollsters Are Now Just Asking AI What Voters Would Say in Response to Questions and Publishing It at Face Value
55. OpenAI Says It’s Already Made $100 Million by Stuffing ChatGPT With Ads
56. AI Is Causing Healthcare Costs to Surge
57. There’s a Mass Rebellion Against AI in the Workplace
58. People Who Lose Their Job to AI Are in for a World of Pain, Goldman Sachs Report Finds
59. OpenAI Says Not to Worry About UBI, Because It Has Another Idea
60. Someone Just Threw a Molotov Cocktail At Sam Altman’s House
61. New York Times Makes Substantial Changes to Article That Glazed a Sleazy AI Startup: “Our Piece Should Have Included That Information”
62. Where Are We Now? Benchmarking Large Language Models (LLMs) in Computed Tomography (CT)
63. Vibe check from inside one of AI industry's main events: 'Claude mania' - CNBC
64. These niche AI startups are trying to protect the Pentagon's secrets - Fortune
65. Intuit compressed months of tax code implementation into hours — and built a workflow any ...
66. LaMGen: LLM-based 3D molecular generation for multi-target drug design - Nature
67. How 'fears' about Anthropic's AI model Mythos made CEOs of Google, OpenAI, Microsoft ...
68. LLM Market Share: Compare Usage & Adoption - AIMultiple
Model: mistralai/mistral-small-3.2-24b-instruct |
Status: Success
Prompt:
[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]:
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.
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. The tried to make me go to rehab. I said no no no…
2. It looks like there are no plans for smaller GLM models
3. Gemma 4 26B A4B is still fully capable at 245283/262144 (94%) contex !
4. Why is my ollama gemma4 replying in Japanese?
5. Intel Arc Pro B70 32GB performance on Qwen3.5-27B@Q4
6. Microsoft's Copilot strategy is just more user abuse from Redmond, says Mozilla
7. Amazon would rather shareholders did not look too closely at carbon footprint
8. Suits won't quit AI spending, even if they can't prove it's working
9. Project Glasswing and open source software: The good, the bad, and the ugly
10. Chatbots are great at manipulating people to buy stuff, Princeton boffins find
11. Anthropic will let your agents sleep on its couch
12. How Gartner will help accelerate and scale your AI strategy
13. not much happened today
14. Anthropic @ $30B ARR, Project GlassWing and Claude Mythos Preview — first model too dangerous to release since GPT-2
15. Cpuid hacked to deliver malware via CPU-Z, HWMonitor downloads
16. Sad, Sad Video of Dude Checking on the Trump Phone He Ordered
17. The Problem That Built an Industry
18. LinkedIn Pulse Lost 85% of Its Organic Traffic in the Last Two Years
19. In Defense of Rediscovery
20. Framechart – Turn CSV data into animated chart videos
21. Can OpenClaw and Claude be better than therapy?
22. Show HN: Helix – open-source self-healing back end for production crashes
23. Pure Python library for drawing IEC 60617 electrical schematics (not electronics)
24. Saturday Daily Thread: Resource Request and Sharing! Daily Thread
25. Friday Daily Thread: r/Python Meta and Free-Talk Fridays
26. AI - Generated Code
27. FastAPI vs Djanjo
28. Tutorial: Decentralized AI in 50 Lines of Python
29. What constitutes AI slop? Discussion thread
30. Tutorial: How to build a simple Python text-to-SQL agent that can automatically recover from bad SQL
31. Talk Python to Me: #544: Wheel Next + Packaging PEPs
32. PyCharm: How (Not) to Learn Python
33. Ahmed Bouchefra: Build Your Own AI Meme Matcher: A Beginner's Guide to Computer Vision with Python
34. Real Python: The Real Python Podcast – Episode #290: Advice on Managing Projects & Making Python Classes Friendly
35. Real Python: Quiz: Exploring Protocols in Python
36. Rodrigo Girão Serrão: Who wants to be a millionaire: iterables edition
37. Rodrigo Girão Serrão: uv skills for coding agents
38. Real Python: Quiz: Reading Input and Writing Output in Python
39. Life with grok (continued)
40. Come Closer
41. Korean mom waking up.
42. Sooo I think Spicy mode is going , More moderation incoming
43. Wizarding World of Grok
44. Retroactively moderated out of existence. Gone from my imagine page along with another similar video.
45. 私の最初のプロジェクトは10月にGrokで過ごしました
46. Falcon Perception
47. Any Custom Frontend with Gradio's Backend
48. Etsy Migrates 1000-Shard, 425 TB MySQL Sharding Architecture to Vitess
49. Google Cloud Highlights Ongoing Work on PostgreSQL Core Capabilities
50. AAIF's MCP Dev Summit: Gateways, gRPC, and Observability Signal Protocol Hardening
51. Google Brings MCP Support to Colab, Enabling Cloud Execution for AI Agents
52. Cloudflare and ETH Zurich Outline Approaches for AI-Driven Cache Optimization
53. Article: Stateful Continuation for AI Agents: Why Transport Layers Now Matter
54. Foolish Pollsters Are Now Just Asking AI What Voters Would Say in Response to Questions and Publishing It at Face Value
55. OpenAI Says It’s Already Made $100 Million by Stuffing ChatGPT With Ads
56. AI Is Causing Healthcare Costs to Surge
57. There’s a Mass Rebellion Against AI in the Workplace
58. People Who Lose Their Job to AI Are in for a World of Pain, Goldman Sachs Report Finds
59. OpenAI Says Not to Worry About UBI, Because It Has Another Idea
60. Someone Just Threw a Molotov Cocktail At Sam Altman’s House
61. New York Times Makes Substantial Changes to Article That Glazed a Sleazy AI Startup: “Our Piece Should Have Included That Information”
62. Where Are We Now? Benchmarking Large Language Models (LLMs) in Computed Tomography (CT)
63. Vibe check from inside one of AI industry's main events: 'Claude mania' - CNBC
64. These niche AI startups are trying to protect the Pentagon's secrets - Fortune
65. Intuit compressed months of tax code implementation into hours — and built a workflow any ...
66. LaMGen: LLM-based 3D molecular generation for multi-target drug design - Nature
67. How 'fears' about Anthropic's AI model Mythos made CEOs of Google, OpenAI, Microsoft ...
68. LLM Market Share: Compare Usage & Adoption - AIMultiple
Response:
The audience for these headlines is developers, researchers, and curious non-experts interested in AI and robotics news, with a focus on important developments in these fields. The selected headlines should avoid generic fearmongering and topics like security or quantum computing. The chosen headlines should cover different topics and be ordered by importance and interest for the audience.
1. **Technical Advancements in AI Models**: The first headline should highlight significant developments in AI models, as this is a core interest for developers and researchers. The headline "Gemma 4 26B A4B is still fully capable at 245283/262144 (94%) contex !" fits this criterion, as it discusses the capabilities of a specific AI model, which is highly relevant to the technical audience.
2. **Performance Benchmarks and Hardware**: The second headline should focus on performance benchmarks and hardware, as this is crucial for developers and researchers working on implementing AI models. The headline "Intel Arc Pro B70 32GB performance on Qwen3.5-27B@Q4" is relevant here, as it provides performance data on specific hardware, which is valuable for practical applications.
3. **Open Source Projects and Tools**: The third headline should cover open-source projects and tools, as these are essential for developers and researchers looking to build and experiment with AI and robotics. The headline "Show HN: Helix – open-source self-healing back end for production crashes" is a good fit, as it introduces an open-source tool that can aid in development and deployment.
= HEADLINES =
Gemma 4 26B A4B is still fully capable at 245283/262144 (94%) contex !
Intel Arc Pro B70 32GB performance on Qwen3.5-27B@Q4
Show HN: Helix – open-source self-healing back end for production crashes
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