[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. RTX 5090 with 64GB and 96GB VRAM 'confirmed' by US GPU repair tech
2. Stealth "Pulse Alpha" on VoldemortCode, appears to use GLM tokeniser - GLM 5.5 perhaps?
3. What Qwen is thinking when it gets stuck saying "Wait"
4. Amazon Is Allegedly Canceling GPU Orders And, In Rare Cases, Closing Accounts For Purchasing Compute Hardware; Tim Sweeney Also A Victim Of This Practice
5. Howler will have AI answer your questions, then burn the chat
6. Oracle says AI will save it from the SaaSpocalypse, not bring it on
7. not much happened today
8. collusion.wiki
9. Nigerian Teens Are Making Sci-Fi Shorts with Slick Visual Effects (2019)
10. PTSD Checker: FREE of charge. No account required
11. Thoughts as Thinkers: the biology and computer science of inspiration [video]
12. The solar system that won't hold still: map for 800k bodies
13. Post-Training Atlas
14. CVEGen â Every month's CVEs, painted into a poster
15. Zenith Data Systems, Part I
16. Pip 26.3 - Extended Pylock Support, Build Backend Warnings, and a caution on wheel installation
17. Best hosting platform other than Render (Python) - Django project
18. FastAPI Cloud is now generally available
19. CPython core dev Larry Hastings on testing race conditions in free-threaded Python and AI-coding
20. What is the closest equivalent to AstroJS in the Python ecosystem?
21. Tuesday Daily Thread: Advanced questions
22. [Blog Post] The State of Python Profiling in 2026
23. Monday Daily Thread: Project ideas!
24. Python Software Foundation: Announcing new Security Developer at the PSF
25. Tryton News: Tryton News November 2026
26. Python Bytes: #503 Itâs not 85% HTML
27. Wingware: Wing Python IDE Version 12.1 - November 3, 2026
28. Rodrigo GirĂŁo SerrĂŁo: Migrating to Python 3.15
29. Hugo van Kemenade: Lots of Python releases for Cybersecurity Awareness Month
30. LernerPython blog, from Reuven Lerner: Pandas multi-index: Working with 3D data using `.loc` and `.xs`
31. Grok is dead
32. Grok 4.7 provides bare minimum even for 200$ subs
33. Well how about that.
34. Can go back to Image1.0?
35. (REAL STORY) Welcome to the Past: The Raspberry Medicine
36. Ducks vs Geese: The Wake-Up War (2 clips, AI cartoon)
37. Can someone please tell me what grok bot is for? I used it to make a free open source Lab Local Ai Bridge
38. What if a few thoughtful UI tweaks could make Grok smarter?
39. StateBench: Testing how language models track state changes over long documents
40. Palette: teaching a small model to build decks in your design language
41. CWE-bench v2: More coverage, quality, and transparency
42. Transformers Model Integration Contracts
43. nemotron-halloween
44. Google Discloses PageBreak AI Security Agent That Found 500+ XSS Bugs
45. There Are Now Growing Signs That AI Is Hurting Employment in the Job Market
46. Did Haley Stevens Use AI to Write Her Blog Post About Her Controversial Endorsement?
47. New AI Data Center Is So Huge That Itâll Generate the Heat of 23 Atomic Bombs Every Single Day
48. OpenAIâs Fundraising Efforts Sputter and Stall as Investors Refuse to Keep Cutting Checks
49. Intel Stock Is Cratering After Trump Poured Taxpayer Money Into the Chipmaker
50. Meta Is Refusing to Remove AI-Generated Videos of Coaches Inappropriately Touching Young Athletes When Users Report Them
51. ChatGPT Is Giving Voters Ludicrous Misinformation Right as the Midterms Hit
52. Investors Are Getting Palpably Nervous About the AI Industryâs Financial Situation
53. Jonathan Swift foresaw the pitfalls of AI in Gulliver's Travels - The Conversation
54. 'Digital resurrection' leaves legal, moral questions to the living - FAS Current
55. First Reflections on AG Szpunar's Opinion in Like Company | Kluwer Copyright Blog
56. The Fight Against Big Tech's AI Takeover Must Continue Past the Midterms | Truthout
57. Imperial researcher helps overcome long-standing barrier in AI language models
58. Karolina DroĹźdĹź wins UvA thesis prize for research on AI - Folia
59. KU researcher proposes techniques for communicators to recognize, avoid inherent biases in AI
60. Visual LLM-guided consensus spatial domain detection with L-STAR - Nature
Response:
I prioritized headlines that describe concrete AI research, evaluation tools, and model behavior, while excluding security topics, quantum computing, generic business drama, and sensational fearmongering. The Imperial story signals a meaningful breakthrough in language models, StateBench provides a practical benchmark for long-document LLM work, and the Qwen piece offers accessible insight into model reasoning. These cover three distinct AI topics relevant to developers, researchers, and curious non-experts.
= HEADLINES =
Imperial researcher helps overcome long-standing barrier in AI language models
StateBench: Testing how language models track state changes over long documents
What Qwen is thinking when it gets stuck saying "Wait"