Generated by z-ai/glm-4.5-air:free | View LLM Process
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LLM Process
Model: z-ai/glm-4.5-air: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. 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 language 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 Large Models 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
Response:
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
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