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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. GLM-5.2 fearmongering in the press
2. Now brothers we know why we are so fucked up
3. Reasoning-Medical0.1-27B (Qwen3.5-27B medical finetune, claims to surpass MedGemma)
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11. Microsoft builds a bouncer to keep bots out of Teams meetings
12. The new Siri makes one of Apple's most convenient OS features a cumbersome mess
13. No longer just a Copilot, Microsoft's AI wants to take the wheel
14. not much happened today
15. Teller.io shuts down at the end of the week
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33. Hugo van Kemenade: Fixing the dictionary with Python 3.14
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57. American Tech Companies Are Suddenly Sweating Bullets as China Catches Up on AI
58. Coinbase AI Sends Mass “Breaking News” Alert That’s Completely Hallucinated
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62. Bank of America Warns That AI Investors Are in for a Nasty Reality Check
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64. Workplaces Have Gotten So Bizarre That People Are Just Sending AI Slop Back and Forth at Each Other
65. AI can predict how you'll respond to a survey. But that's not the same as understanding you
66. Learning Machines: An introduction to AI and IP for small and medium-sized enterprises - What is AI?
67. OpenAI launches GPT-Live voice model series ahead of broad GPT-5.6 release - SiliconANGLE
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Response:
These three headlines each highlight distinct, cutting‑edge AI advances that matter to developers, researchers, and curious non‑experts: a breakthrough medical‑focused model, a practical performance boost enabling large models to run efficiently on consumer hardware, and a novel approach to embedding AI inference directly inside databases for production use. Each represents a different frontier of AI development, making them the most relevant and varied choices for this audience.
= HEADLINES =
Reasoning-Medical0.1-27B (Qwen3.5-27B medical finetune, claims to surpass MedGemma)
82 TPS On Qwen 3.6 27b On A Macbook Pro | Introducing MTPLX V2: The Fastest Way To Run MLX Models.
AlloyDB Ships Proxy Models That Replace LLM Calls with Local Inference Inside the Database
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