[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. Look what my son gave me!
2. Weight Space Programming for Quantization: Nace quants achieve up to 2x better KL divergence for Qwen 9B, 27B, 35B & Flash Next [GGUF]
3. Stories coming out about Jensen
4. âBring Back THE Bossâ: Nvidia Employees Petition for Jensen Huangâs Return
5. CXMT almost tripling RAM production from 2025 to 2028
6. DeepSeek flash max is the first model to reach >1% on challenging SWE-sweep bug finding benchmark
7. Show colleagues how much you care by sending an AI avatar to your Google Meet call
8. not much happened today
9. collusion.wiki
10. Show HN: Earshot â live, on-device transcription of any app on your Mac
11. Show HN: Pharon â security incident alerts for your whole stack
12. November 13: Help Lemon Amiga stay online
13. Bootstrapping: First public demo of my "cloud devboxes for agents" product [video]
14. From floppy disk to cockpit: Star Wars on the Amiga
15. What Is Quantum Computing
16. Apify Was Hacked
17. For devs using Claude Code or similar at work: whatâs the 10% you still fix by hand in Python?
18. Why doesn't PyCharm warn about this type mismatch?
19. Friday Daily Thread: r/Python Meta and Free-Talk Fridays
20. Tim Peters has passed away
21. Eventually LLMs will write what will become industry standard python.
22. 112 CodeQL alerts on my python app, 14 were real
23. Thursday Daily Thread: Python Careers, Courses, and Furthering Education!
24. Pydantic in 100 lines
25. PyCharm: Whatâs Fixed and Improved in PyCharm 2026.3
26. Python Software Foundation: Python is for everyone: Join in the PSF year-end fundraiser & membership drive!
27. Graham Dumpleton: Muru: canaries without a service mesh
28. Luke Plant: Why Iâm calling your contribution âslopâ
29. LernerPython blog, from Reuven Lerner: Announcing: Vibe to valid
30. PyPy: 20 Years of Pyrolog
31. Tryton News: Release 0.3.0 of tryton-filestore-cellar
32. Graham Dumpleton: Muru: releases, not restarts
33. GROK'S BEST PRODUCT IS IMAGINE! NOT CODING, NOT THE CHAT, NOT THE BOT! you have something unique and special here and you're closing it?
34. Do you think the relaxed Moderation in Imagine is a last hurrah?
35. Did something happen with Grok Imagine?
36. Imagine was fixed on desktop browser.
37. Try this before you all FREAK out with IMAGINE
38. Build a Robot Pick-and-Place Simulation with SimReady Assets
39. XYBench: Helping with the problem behind the question
40. Token Pooling-Aware Training for Multi-Vector Embedding Models
41. Pay for Hugging Face Hub with your Google Cloud Account
42. Google Open Sources Ambient Quality Agent (AQuA) to Diagnose Production AI Agent Failures
43. Netflix Turns Operational Data Into a Knowledge Graph for AI-Driven Observability
44. Azure Logic Apps Standard Gets a Local CLI in Preview
45. Cloudflare Makes Basin Serverless Analytics Generally Available
46. Entire US Airspace Shut Down Days After the FAA Rolled Out an AI Air Traffic Tool. Was It a Coincidence?
47. Tenant Uses AI to Beat Down His Landlord in Court
48. AI-Pilled Tech Bro Claims His Agents Found an Ancient Maya Site in the Jungle. It Turns Out That Researchers Actually Discovered It.
49. OpenAI Leadership Gets Fooled by Pranksters Pretending to be Ukrainian Officials, Discusses Military Secrets With Them
50. Shameless Scammers Are Cashing in by Posting Fake, AI-Altered Paparazzi Shots of Celebrities Undergoing Going Huge Body Changes, Drinking While Pregnant, and Cheating on Their Partners
51. Jensen Huangâs Extramarital Affairs Are Multiplying
52. If You Bought Nvidia Stock One Year Ago, You Would Now Have Lost a Substantial Amount of Money
53. Mark Zuckerberg Maintains Status as Techâs One True Wife Guy
54. What are the digital humanities for in 2026? - Prof. James O'Sullivan's newsletter
55. Memory Poisoning Attacks on Large Language Model Agents - ADS
56. Adapting to AI penetration testing orchestrators: The Modern Security Model
57. Giving AI a 'childhood' offers insights into language development - Medical Xpress
58. Export-banned Nvidia chips are behind China's most powerful AI modelsâuh oh, Jensen!
59. Centering the Human in AI Decision Making - IHMC
60. Exclusive: OpenAI disbands its robotics team as its general models start running robots
61. Physician Views Preview: Branded or generic â does AI have any sway over drug choice?
Response:
Selected for their direct relevance to core AI and robotics developments that matter to developers, researchers, and curious non-experts. Headline 60 highlights a major shift in how general AI models are driving robotics, underscoring the field's rapid evolution. Headline 2 reports a significant advancement in LLM quantization, enabling more efficient local deployment of large modelsâa key concern for the technical community. Headline 6 marks a breakthrough AI coding benchmark, showcasing progress in AI-assisted software engineering. Together, these cover distinct pillars: robotics architecture, model efficiency, and code-generation capability.
= HEADLINES =
Exclusive: OpenAI disbands its robotics team as its general models start running robots
Weight Space Programming for Quantization: Nace quants achieve up to 2x better KL divergence for Qwen 9B, 27B, 35B & Flash Next [GGUF]
DeepSeek flash max is the first model to reach >1% on challenging SWE-sweep bug finding benchmark