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LLM Process
Model: nvidia/nemotron-3-nano-30b-a3b:free |
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. I feel personally attacked
2. Avacado is toast
3. Saw this somewhere on LinkedIn 😂
4. I'm fully blind, and AI is a game changer for me. Are there any local LLMS that can rival claude code and codex?
5. Lemonade v10: Linux NPU support and chock full of multi-modal capabilities
6. qwen3.5-35b-a3b is a gem
7. GitHub infuriates students by removing some models from free Copilot plan
8. Azure startup credits don't apply to Claude via Azure AI Foundry, reader finds – after $1,600 charge
9. Atomic Britain: UK plans regulatory reset to boost nuclear power
10. AI Burning Man happens next week –what to expect at Nvidia GTC 2026
11. Prince of PDFs, Adobe CEO Shantanu Narayen, to step down after 18 years
12. Rogue AI agents can work together to hack systems and steal secrets
13. Perplexity: Everything is Computer, everything is AI, Computer is everything, AI is us
14. not much happened today
15. Anthropic accuses DeepSeek, Moonshot, and MiniMax of "industrial-scale distillation attacks".
16. How we compare model quality in Cursor
17. Show HN: Pixel Press – Fast Image Converter for Windows (WebP / AVIF)
18. In Search of Banksy
19. Show HN: I wrote my first neural network
20. Show HN: Commute home, hit the banana, feel nice
21. Show HN: Monetize your APIs by injecting agent targeted instructions
22. PoC for partially desynchronizing Windows PatchGuard
23. "This Is Not the Computer for You" Debunked
24. PyTogether, the 'Google Docs' for Python (free and open-source, real-time browser IDE)
25. Application layer security for FastAPI and Flask
26. What small Python scripts or tools have made your daily workflow easier?
27. What hidden gem Python modules do you use and why?
28. I built a Python library to push custom workouts to FORM swim goggles over BLE [reverse engineered]
29. Saturday Daily Thread: Resource Request and Sharing! Daily Thread
30. I ended building an oversimplfied durable workflow engine after overcomplicating my data pipelines
31. 4 months of battle with Samsung's Knox & Android 16: Building the Clear & Recovery system
32. Talk Python to Me: #540: Modern Python monorepo with uv and prek
33. Rodrigo Girão Serrão: TIL #141 – Inspect a lazy import
34. PyCharm: Python Unplugged on PyTV Recap
35. Real Python: The Real Python Podcast – Episode #287: Crafting and Editing In-Depth Tutorials at Real Python
36. Real Python: Quiz: Your Python Coding Environment on Windows: Setup Guide
37. PyPy: PyPy v7.3.21 release
38. Daniel Roy Greenfeld: To return a value or not return a value
39. What’s the deal with the shade throwing at NSFW users?
40. AI Instinct
41. Gemini now is better than grok imagine,not joking
42. So tired of wierd impossible body movements.
43. Glitch in the matrix.
44. She likes to drink
45. Forget about moderation, the quality of the i2v gens is so much worse than it was 4 months ago
46. Failure of I2V
47. Build an Agent That Thinks Like a Data Scientist: How We Hit #1 on DABStep with Reusable Tool Generation
48. Keep the Tokens Flowing: Lessons from 16 Open-Source RL Libraries
49. Article: The Oil and Water Moment in AI Architecture
50. Presentation: From Symptom Checkers to Smart Chatbots: The Role of AI in Virtual Care
51. AI-Powered Bot Compromises GitHub Actions Workflows Across Microsoft, DataDog, and CNCF Projects
52. GitLab Suggests AI Can Detect Vulnerabilities But it's AI Governance that Determines Risk
53. Cloudflare Releases Experimental Next.js Alternative Built with AI Assistance
54. Elon Musk Orders Sweeping Layoffs as xAI Fails to Catch Up
55. BuzzFeed Nearing Bankruptcy After Disastrous Turn Toward AI
56. Iran Declares Google and Microsoft to Be Military Targets
57. Elon Musk Says He’s Epically Screwed Up at xAI, Is Rebuilding “From the Foundations”
58. Rumors Fly That a Famous Actor Is Dating an AI Chatbot
59. Character.AI Is Hosting Epstein Island Roleplays Scenarios and Ghislaine Maxwell Bots
60. Disturbing AI Food Slop Is Strangling the Internet
61. People Really, Really Despise AI — Even More Than ICE, Poll Finds
62. Multilingual Reasoning Gym: Multilingual Scaling of Procedural Reasoning Environments
63. mAceReason-Math: A Dataset of High-Quality Multilingual Math Problems Ready For RLVR
64. A Signal Through the Noise: How the Media Bias Detector Is Cutting Through Our Cluttered ...
65. Hot Picks: Amazon-OpenAI deal seen boosting AI compute growth
66. P-EAGLE: Faster LLM inference with Parallel Speculative Decoding in vLLM - Amazon AWS
67. A framework of large language model commander agent for spatial reasoning in combat simulation
68. What can dogs tell us about how robots can locate objects? Gestures may be as important as words
69. 59% of kids use AI for information: That's a problem, experts say - CNBC
Response:
These three headlines each spotlight a distinct, high‑impact development in the AI ecosystem that directly interests developers, researchers, and curious non‑experts. The first highlights a newly recognized powerful open‑source model, the second points to a major upcoming AI conference featuring cutting‑edge announcements, and the third covers a noteworthy industry dispute over model distillation—all central topics in contemporary AI research and deployment.
= HEADLINES =
qwen3.5-35b-a3b is a gem
AI Burning Man happens next week –what to expect at Nvidia GTC 2026
Anthropic accuses DeepSeek, Moonshot, and MiniMax of "industrial-scale distillation attacks".
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