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LLM Process
Model: qwen/qwen3-4b:free |
Status: Failed (Empty response)
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. GLM-Image is released!
2. My wishes for 2026
3. EXAONE MoE support has been merged into llama.cpp
4. NovaSR: A tiny 52kb audio upsampler that runs 3600x realtime.
5. Popular Python libraries used in Hugging Face models subject to poisoned metadata attack
6. Anthropic Claude wants to be your helpful colleague, always looking over your shoulder
7. AI and automation could erase 10.4 million US roles by 2030
8. Trump says Americans shouldn't 'pick up the tab' for AI datacenter grid upgrades
9. Linus Torvalds tries vibe coding, world still intact somehow
10. Trump may hate renewables, but AI datacenters still fancy cheap solar
11. Developer writes script to throw AI out of Windows
12. not much happened today
13. How to import ChatGPT conversations in Obsidian
14. Show HN: SVGFix – transforms SVG path coordinates to origin, not just viewBox
15. Why AI works better on existing codebases
16. The effect of testosterone on human bargaining behaviour (2009)
17. Elevated error rates on Opus 4.5
18. System Programming in Linux: A Hands-On Introduction "Demo" Programs
19. Show HN: Imago – open-source AI portrait generator with guided creation
20. Ethernet Switching Hits New Highs
21. Jetbase - A Modern Python Database Migration Tool (Alembic alternative)
22. I replaced FastAPI with Pyodide: My visual ETL tool now runs 100% in-browser
23. ssrJSON: faster than the fastest JSON, SIMD-accelerated CPython JSON with a json-compatible API
24. A Dead-Simple Reservation Web App Framework Abusing Mkdocs
25. Why I stopped trying to build a "Smart" Python compiler and switched to a "Dumb" one.
26. I built a desktop music player with Python because I was tired of bloated apps and compressed music
27. I mapped Google NotebookLM's internal RPC protocol to build a Python Library
28. PyCoder’s Weekly: Issue #717: Unit Testing Performance, Cursor, Recursive match, and More (Jan. 13, 2026)
29. Real Python: Intro to Object-Oriented Programming (OOP) in Python
30. Talk Python to Me: #534: diskcache: Your secret Python perf weapon
31. Real Python: Python's deque: Implement Efficient Queues and Stacks
32. The Python Coding Stack: Need a Constant in Python? Enums Can Come in Useful
33. Python Bytes: #465 Stack Overflow is Cooked
34. Python GUIs: What does @pyqtSlot() do? — Is the pyqtSlot decorator even necessary?
35. Do all gooners go to heaven?
36. You're not going to get caught unless you're stupid
37. GROK IS WILD
38. wasting all my time with grok moderation - absolutely annoying
39. Gullivers Travels
40. It’s joever.
41. Anyone else having reduced rate limits?
42. QCon London 2026: Practitioner-Led Tracks on Connectivity & Production AI Engineering
43. Solving Fragmented Mobile Analytics: Uber’s Platform-Led Approach
44. Podcast: Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types
45. FACTS Benchmark Suite Introduced to Evaluate Factual Accuracy of Large Language Models
46. Inside the Development Workflow of Claude Code's Creator
47. AI Implicated as Escaped Monkeys Rampage Through St. Louis
48. Nvidia CEO Says Everyone Should Stop Being So Negative About AI
49. Man Planning to Raise Adopted Children With AI Girlfriend as Their Mother
50. ChatGPT Killed a Man After OpenAI Brought Back “Inherently Dangerous” GPT-4o, Lawsuit Claims
51. Tech Startup Hiring Desperate Unemployed People to Teach AI to Do Their Old Jobs
52. Elon’s xAI Is Losing Staggering Amounts of Money
53. Furious AI Users Say Their Prompts Are Being Plagiarized
54. Apple just straight up robbed Google - Fast Company
55. Honey, I shrunk the data centres: Is small the new big? - BBC
56. Humanities cuts leave us defenceless in the age of AI - Times Higher Education (THE)
57. Evaluating Large Language Models as Medical Consultation Tools for Double Eyelid Surgery
58. Four Predictions on How AI Will Transform Your World This Year - YouTube
59. Evaluating the clinical utility of large language models for hepatocellular carcinoma ...
60. Quantum-inspired Networks Enable Robust Reasoning, Advancing Logical Consistency In ...
61. This dead simple prompt technique boosts accuracy on LLMs by up to 76% - VentureBeat
Model: tngtech/tng-r1t-chimera: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. GLM-Image is released!
2. My wishes for 2026
3. EXAONE MoE support has been merged into llama.cpp
4. NovaSR: A tiny 52kb audio upsampler that runs 3600x realtime.
5. Popular Python libraries used in Hugging Face models subject to poisoned metadata attack
6. Anthropic Claude wants to be your helpful colleague, always looking over your shoulder
7. AI and automation could erase 10.4 million US roles by 2030
8. Trump says Americans shouldn't 'pick up the tab' for AI datacenter grid upgrades
9. Linus Torvalds tries vibe coding, world still intact somehow
10. Trump may hate renewables, but AI datacenters still fancy cheap solar
11. Developer writes script to throw AI out of Windows
12. not much happened today
13. How to import ChatGPT conversations in Obsidian
14. Show HN: SVGFix – transforms SVG path coordinates to origin, not just viewBox
15. Why AI works better on existing codebases
16. The effect of testosterone on human bargaining behaviour (2009)
17. Elevated error rates on Opus 4.5
18. System Programming in Linux: A Hands-On Introduction "Demo" Programs
19. Show HN: Imago – open-source AI portrait generator with guided creation
20. Ethernet Switching Hits New Highs
21. Jetbase - A Modern Python Database Migration Tool (Alembic alternative)
22. I replaced FastAPI with Pyodide: My visual ETL tool now runs 100% in-browser
23. ssrJSON: faster than the fastest JSON, SIMD-accelerated CPython JSON with a json-compatible API
24. A Dead-Simple Reservation Web App Framework Abusing Mkdocs
25. Why I stopped trying to build a "Smart" Python compiler and switched to a "Dumb" one.
26. I built a desktop music player with Python because I was tired of bloated apps and compressed music
27. I mapped Google NotebookLM's internal RPC protocol to build a Python Library
28. PyCoder’s Weekly: Issue #717: Unit Testing Performance, Cursor, Recursive match, and More (Jan. 13, 2026)
29. Real Python: Intro to Object-Oriented Programming (OOP) in Python
30. Talk Python to Me: #534: diskcache: Your secret Python perf weapon
31. Real Python: Python's deque: Implement Efficient Queues and Stacks
32. The Python Coding Stack: Need a Constant in Python? Enums Can Come in Useful
33. Python Bytes: #465 Stack Overflow is Cooked
34. Python GUIs: What does @pyqtSlot() do? — Is the pyqtSlot decorator even necessary?
35. Do all gooners go to heaven?
36. You're not going to get caught unless you're stupid
37. GROK IS WILD
38. wasting all my time with grok moderation - absolutely annoying
39. Gullivers Travels
40. It’s joever.
41. Anyone else having reduced rate limits?
42. QCon London 2026: Practitioner-Led Tracks on Connectivity & Production AI Engineering
43. Solving Fragmented Mobile Analytics: Uber’s Platform-Led Approach
44. Podcast: Somtochi Onyekwere on Distributed Data Systems, Eventual Consistency and Conflict-free Replicated Data Types
45. FACTS Benchmark Suite Introduced to Evaluate Factual Accuracy of Large Language Models
46. Inside the Development Workflow of Claude Code's Creator
47. AI Implicated as Escaped Monkeys Rampage Through St. Louis
48. Nvidia CEO Says Everyone Should Stop Being So Negative About AI
49. Man Planning to Raise Adopted Children With AI Girlfriend as Their Mother
50. ChatGPT Killed a Man After OpenAI Brought Back “Inherently Dangerous” GPT-4o, Lawsuit Claims
51. Tech Startup Hiring Desperate Unemployed People to Teach AI to Do Their Old Jobs
52. Elon’s xAI Is Losing Staggering Amounts of Money
53. Furious AI Users Say Their Prompts Are Being Plagiarized
54. Apple just straight up robbed Google - Fast Company
55. Honey, I shrunk the data centres: Is small the new big? - BBC
56. Humanities cuts leave us defenceless in the age of AI - Times Higher Education (THE)
57. Evaluating Large Language Models as Medical Consultation Tools for Double Eyelid Surgery
58. Four Predictions on How AI Will Transform Your World This Year - YouTube
59. Evaluating the clinical utility of large language models for hepatocellular carcinoma ...
60. Quantum-inspired Networks Enable Robust Reasoning, Advancing Logical Consistency In ...
61. This dead simple prompt technique boosts accuracy on LLMs by up to 76% - VentureBeat
Response:
The selected headlines focus on significant AI developments that directly impact developers and researchers, avoiding fearmongering. GLM-Image represents a major model release, EXAONE MoE integration into llama.cpp shows practical framework adoption, and FACTS Benchmark addresses critical evaluation needs for LLMs – all distinct areas critical to advancing AI workflows.
= HEADLINES =
GLM-Image is released!
EXAONE MoE support has been merged into llama.cpp
FACTS Benchmark Suite Introduced to Evaluate Factual Accuracy of Large Language Models
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