Generated by nvidia/nemotron-3-super-120b-a12b:free | View LLM Process
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LLM Process
Model: nvidia/nemotron-3-super-120b-a12b: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:
Robotics enthusiasts, programmers, and builders interested in major robotics and automation developments, especially humanoid robots and FOSS (free and open source software) projects. Focus on research breakthroughs, industry news, and robotics tutorials for intro builders. Avoid software-only automation (except for virtual robotics which is an important test and learning environment for real but more expensive robots), quantum computing, or unrelated tech content.
Candidate headlines:
1. Research could guide the future design of social robots
2. World-Calibrated Proposal-to-Action Flow for Vision-Language-Action Models
3. NEEDLEWORK: Offline Rewriting of Robot Data with Verified Local Stitches
4. MIT spinout turns plastic waste into resilient building materials
Response:
For robotics enthusiasts, programmers, and builders, the most pertinent updates are those that directly impact robot design, learning capabilities, and data management. The first headline speaks to advancing social robot design, a key area for humanoid and interactive robots. The second covers a novel vision‑language‑action flow, which is core research for enabling robots to understand and act in complex environments. The third introduces a method for reliably rewriting robot data offline, valuable for developers working on robot learning pipelines. These three topics are distinct and collectively cover design, algorithmic breakthroughs, and practical data tools that matter most to the target audience.
= HEADLINES =
Research could guide the future design of social robots
World-Calibrated Proposal-to-Action Flow for Vision-Language-Action Models
NEEDLEWORK: Offline Rewriting of Robot Data with Verified Local Stitches
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