Generated by mistralai/mistral-small-3.2-24b-instruct | View LLM Process
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LLM Process
Model: None |
Status: Failed (No available models)
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. HuggingFace benchmark datasets now let you filter by model size
2. AMD Ryzen AI Halo PC will cost 3999$ with 128GB memory on board
3. RTX 5080 16GB: Qwen3.6 35B MoE at 128k context — 56 tok/s, and why MTP doesn't help
4. Qwen 3.6 35B GGUF: NTP vs MTP quantization results across GPUs and CPUs
5. "AWS secures rare Mac Studios while ordinary Apple customers remain completely locked out"
6. Sick and wrong: Ontario auditors find doctors' AI note takers routinely blow basic facts
7. not much happened today
8. RoughDraft – Easier collaboration with your agent
9. Waw an Namus: Libya's Black Oasis [video]
10. TargetBridge: Use an iMac as Display for a Modern Mac
11. 16 days, 4 channels, no AWS Bedrock quota fix
12. Dear Google Cloud: Your Deprecation Policy Is Killing You (2020)
13. UK radio station apologises for accidentally announcing king's death
14. OpenAI co-founder Andrej Karpathy joins Anthropic
15. RegCalc – browser calculator for MCU register math (UART, PLL, timers)
16. Supply-chain attacks are happening daily - add at least dependency cooldown to your Python projects.
17. PEP 661 (Sentinel Values) has been accepted for release in 3.15!
18. 100 days of python code by dr angela vs python course by ardit sulce
19. Tuesday Daily Thread: Advanced questions
20. Three packages copy-pasted my AGPL code to PyPI and named me in their description. PyPI won't act
21. Anyone experienced yt clump_find crashes with Parthenon files?
22. Real Python: Quiz: How to Use the Claude API in Python
23. Python GUIs: Adding QComboBox to a QTableView and getting/setting values after creation — Use QItemDelegate to embed combo boxes in your table views, with per-row data and value tracking
24. PyCoder’s Weekly: Issue #735: Agentic Architecture, Python is Weird, 3.15, and More (2026-05-19)
25. Real Python: Tapping Into the Zen of Python
26. Real Python: Quiz: Absolute vs Relative Imports in Python
27. PyCharm: LLM Evaluation and AI Observability for Agent Monitoring
28. Kay Hayen: Nuitka Release 4.1
29. Grok Imagine's approach to customer service levels.
30. Free users rn
31. GROK VS GEMINI
32. Any ideas on how to move forward?
33. I generated this amazing image using Grok today! Rate this art from 1-10?
34. I know what's going on
35. You no longer need Grok Imagine
36. Late posting but I’ve been done
37. Introducing the Ettin Reranker Family
38. The Open Agent Leaderboard
39. Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
40. Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
41. Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery
42. Presentation: Powering the Future: Building Your GenAI Infrastructure Stack
43. Article: Building a Secure MCP Server on AWS for a Million-Company B2B Platform
44. Why Is Mark Zuckerberg Taunting His Employees Before Firing Them?
45. New Data Suggests That AI Really Is Already Replacing Human Jobs
46. Top Literary Magazine Offers Bizarre Response to Accusations That It Published an AI-Generated Short Story
47. This Robot Trying to Dance Like Michael Jackson But Wiping Out Pathetically in Front of a Crowd Perfectly Illustrates the Industry’s Deep-Seated Problem
48. Book About AI’s Effects on the “Future of Truth” Found to Contain Slew of AI-Hallucinated Quotations
49. Elon Musk Compares His Work to Miracles Performed by Jesus Christ
50. Students Boo and Jeer as AI Name-Reader Flops Spectacularly at College Graduation Ceremony
51. Sports Illustrated Just Deleted Every Article by One of Its Writers After Accusation of AI Plagiarism
52. The David and Goliath Paradigm: Comparing Small and Large Language Models - AIwire - HPC Wire
53. Australia leads rise of the small language model - AFR
54. AI Agents Forecast to Boost Tech Cash Flow as Usage Soars | Goldman Sachs
55. Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals - AWS
56. The Path to 10x (Part II): Innodata's Core Engines | Trefis
57. Meta employees reel from layoffs as company focuses on AI | The San Francisco Standard
58. Build real-time voice applications with Amazon SageMaker AI and vLLM - AWS
59. Sixuan Li's Research on Causally Grounded AI Agents Advances Reliable Decision Support ...
Model: None |
Status: Failed (No available models)
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. HuggingFace benchmark datasets now let you filter by model size
2. AMD Ryzen AI Halo PC will cost 3999$ with 128GB memory on board
3. RTX 5080 16GB: Qwen3.6 35B MoE at 128k context — 56 tok/s, and why MTP doesn't help
4. Qwen 3.6 35B GGUF: NTP vs MTP quantization results across GPUs and CPUs
5. "AWS secures rare Mac Studios while ordinary Apple customers remain completely locked out"
6. Sick and wrong: Ontario auditors find doctors' AI note takers routinely blow basic facts
7. not much happened today
8. RoughDraft – Easier collaboration with your agent
9. Waw an Namus: Libya's Black Oasis [video]
10. TargetBridge: Use an iMac as Display for a Modern Mac
11. 16 days, 4 channels, no AWS Bedrock quota fix
12. Dear Google Cloud: Your Deprecation Policy Is Killing You (2020)
13. UK radio station apologises for accidentally announcing king's death
14. OpenAI co-founder Andrej Karpathy joins Anthropic
15. RegCalc – browser calculator for MCU register math (UART, PLL, timers)
16. Supply-chain attacks are happening daily - add at least dependency cooldown to your Python projects.
17. PEP 661 (Sentinel Values) has been accepted for release in 3.15!
18. 100 days of python code by dr angela vs python course by ardit sulce
19. Tuesday Daily Thread: Advanced questions
20. Three packages copy-pasted my AGPL code to PyPI and named me in their description. PyPI won't act
21. Anyone experienced yt clump_find crashes with Parthenon files?
22. Real Python: Quiz: How to Use the Claude API in Python
23. Python GUIs: Adding QComboBox to a QTableView and getting/setting values after creation — Use QItemDelegate to embed combo boxes in your table views, with per-row data and value tracking
24. PyCoder’s Weekly: Issue #735: Agentic Architecture, Python is Weird, 3.15, and More (2026-05-19)
25. Real Python: Tapping Into the Zen of Python
26. Real Python: Quiz: Absolute vs Relative Imports in Python
27. PyCharm: LLM Evaluation and AI Observability for Agent Monitoring
28. Kay Hayen: Nuitka Release 4.1
29. Grok Imagine's approach to customer service levels.
30. Free users rn
31. GROK VS GEMINI
32. Any ideas on how to move forward?
33. I generated this amazing image using Grok today! Rate this art from 1-10?
34. I know what's going on
35. You no longer need Grok Imagine
36. Late posting but I’ve been done
37. Introducing the Ettin Reranker Family
38. The Open Agent Leaderboard
39. Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
40. Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
41. Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery
42. Presentation: Powering the Future: Building Your GenAI Infrastructure Stack
43. Article: Building a Secure MCP Server on AWS for a Million-Company B2B Platform
44. Why Is Mark Zuckerberg Taunting His Employees Before Firing Them?
45. New Data Suggests That AI Really Is Already Replacing Human Jobs
46. Top Literary Magazine Offers Bizarre Response to Accusations That It Published an AI-Generated Short Story
47. This Robot Trying to Dance Like Michael Jackson But Wiping Out Pathetically in Front of a Crowd Perfectly Illustrates the Industry’s Deep-Seated Problem
48. Book About AI’s Effects on the “Future of Truth” Found to Contain Slew of AI-Hallucinated Quotations
49. Elon Musk Compares His Work to Miracles Performed by Jesus Christ
50. Students Boo and Jeer as AI Name-Reader Flops Spectacularly at College Graduation Ceremony
51. Sports Illustrated Just Deleted Every Article by One of Its Writers After Accusation of AI Plagiarism
52. The David and Goliath Paradigm: Comparing Small and Large Language Models - AIwire - HPC Wire
53. Australia leads rise of the small language model - AFR
54. AI Agents Forecast to Boost Tech Cash Flow as Usage Soars | Goldman Sachs
55. Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals - AWS
56. The Path to 10x (Part II): Innodata's Core Engines | Trefis
57. Meta employees reel from layoffs as company focuses on AI | The San Francisco Standard
58. Build real-time voice applications with Amazon SageMaker AI and vLLM - AWS
59. Sixuan Li's Research on Causally Grounded AI Agents Advances Reliable Decision Support ...
Model: mistralai/mistral-small-3.2-24b-instruct |
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. HuggingFace benchmark datasets now let you filter by model size
2. AMD Ryzen AI Halo PC will cost 3999$ with 128GB memory on board
3. RTX 5080 16GB: Qwen3.6 35B MoE at 128k context — 56 tok/s, and why MTP doesn't help
4. Qwen 3.6 35B GGUF: NTP vs MTP quantization results across GPUs and CPUs
5. "AWS secures rare Mac Studios while ordinary Apple customers remain completely locked out"
6. Sick and wrong: Ontario auditors find doctors' AI note takers routinely blow basic facts
7. not much happened today
8. RoughDraft – Easier collaboration with your agent
9. Waw an Namus: Libya's Black Oasis [video]
10. TargetBridge: Use an iMac as Display for a Modern Mac
11. 16 days, 4 channels, no AWS Bedrock quota fix
12. Dear Google Cloud: Your Deprecation Policy Is Killing You (2020)
13. UK radio station apologises for accidentally announcing king's death
14. OpenAI co-founder Andrej Karpathy joins Anthropic
15. RegCalc – browser calculator for MCU register math (UART, PLL, timers)
16. Supply-chain attacks are happening daily - add at least dependency cooldown to your Python projects.
17. PEP 661 (Sentinel Values) has been accepted for release in 3.15!
18. 100 days of python code by dr angela vs python course by ardit sulce
19. Tuesday Daily Thread: Advanced questions
20. Three packages copy-pasted my AGPL code to PyPI and named me in their description. PyPI won't act
21. Anyone experienced yt clump_find crashes with Parthenon files?
22. Real Python: Quiz: How to Use the Claude API in Python
23. Python GUIs: Adding QComboBox to a QTableView and getting/setting values after creation — Use QItemDelegate to embed combo boxes in your table views, with per-row data and value tracking
24. PyCoder’s Weekly: Issue #735: Agentic Architecture, Python is Weird, 3.15, and More (2026-05-19)
25. Real Python: Tapping Into the Zen of Python
26. Real Python: Quiz: Absolute vs Relative Imports in Python
27. PyCharm: LLM Evaluation and AI Observability for Agent Monitoring
28. Kay Hayen: Nuitka Release 4.1
29. Grok Imagine's approach to customer service levels.
30. Free users rn
31. GROK VS GEMINI
32. Any ideas on how to move forward?
33. I generated this amazing image using Grok today! Rate this art from 1-10?
34. I know what's going on
35. You no longer need Grok Imagine
36. Late posting but I’ve been done
37. Introducing the Ettin Reranker Family
38. The Open Agent Leaderboard
39. Designing a Multi-Agent System for Engineering Support at Scale: A Case Study From Grab
40. Presentation: The AI Gateway: Scaling Centralized Inference Across Decentralized Teams
41. Agoda Builds Multimodal Content System to Bridge Images and Reviews in Travel Discovery
42. Presentation: Powering the Future: Building Your GenAI Infrastructure Stack
43. Article: Building a Secure MCP Server on AWS for a Million-Company B2B Platform
44. Why Is Mark Zuckerberg Taunting His Employees Before Firing Them?
45. New Data Suggests That AI Really Is Already Replacing Human Jobs
46. Top Literary Magazine Offers Bizarre Response to Accusations That It Published an AI-Generated Short Story
47. This Robot Trying to Dance Like Michael Jackson But Wiping Out Pathetically in Front of a Crowd Perfectly Illustrates the Industry’s Deep-Seated Problem
48. Book About AI’s Effects on the “Future of Truth” Found to Contain Slew of AI-Hallucinated Quotations
49. Elon Musk Compares His Work to Miracles Performed by Jesus Christ
50. Students Boo and Jeer as AI Name-Reader Flops Spectacularly at College Graduation Ceremony
51. Sports Illustrated Just Deleted Every Article by One of Its Writers After Accusation of AI Plagiarism
52. The David and Goliath Paradigm: Comparing Small and Large Language Models - AIwire - HPC Wire
53. Australia leads rise of the small language model - AFR
54. AI Agents Forecast to Boost Tech Cash Flow as Usage Soars | Goldman Sachs
55. Multimodal evaluators: MLLM-as-a-judge for image-to-text tasks in Strands Evals - AWS
56. The Path to 10x (Part II): Innodata's Core Engines | Trefis
57. Meta employees reel from layoffs as company focuses on AI | The San Francisco Standard
58. Build real-time voice applications with Amazon SageMaker AI and vLLM - AWS
59. Sixuan Li's Research on Causally Grounded AI Agents Advances Reliable Decision Support ...
Response:
The audience for this task is developers, researchers, and curious non-experts interested in AI and robotics news. The selected headlines should focus on the most important developments in AI and robots, avoiding generic fearmongering or any security and quantum computing topics. The chosen headlines should cover different topics to provide a well-rounded overview of the latest advancements and tools in the field.
= HEADLINES =
1. HuggingFace benchmark datasets now let you filter by model size
3. OpenAI co-founder Andrej Karpathy joins Anthropic
38. The Open Agent Leaderboard
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