Technique 5: Specification-Driven Generation Engineers write a spec first, get model agreement, THEN generate. This separates "what to build" from "how to build it" and catches misalignment early. Template: First, write a specification for [task] including:
– Inputs and their
SAFETY
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Specification-Driven Generation Technique
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Metacognitive Scaffolding for Error Prevention
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Technique 3: Metacognitive Scaffolding Instead of asking for an answer, engineers ask the model to explain its reasoning process BEFORE generating. This catches logical errors at the planning stage. Template: Before you [generate output], first:
1. List 3 assumptions you're -
Multi-Shot Technique with Failure Cases
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Technique 2: Multi-Shot with Failure Cases Everyone uses examples. Engineers show the model what NOT to do. This creates boundaries that few-shot alone can't establish. Template: Task: [what you want] Good example:
[correct output] Bad example:
[incorrect output]
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Constraint Techniques for Prompts
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Technique 1: Constraint-Based Prompting Most prompts are too open-ended. Engineers add strict constraints that force the model into a narrower solution space, eliminating 80% of poor outputs before they occur. Template: Generate [output] with these non-negotiable constraints:
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Empathetic AIs risk manipulating humans, says entrepreneur
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Yeah, there are a lot of people working to make sure AIs don't take humans down bad paths, but that certainly is possible, especially as more empathetic AIs come. One entrepreneur building such told me that the downside is that such AIs could manipulate humans in both bad and
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Meta’s Avocado AI Model Delayed to 2026
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Meta is working on a new proprietary frontier AI model called “Avocado” according to CNBC. “We were expecting the model to be released before the end of this year, but that the plan now is for that to happen in the first quarter of 2026.” Meta will be back
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Waymo’s Use of Large Models and GOFE in Autonomous Driving
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My sense is that @Waymo has been using large models for awhile (plus lots of GOFE for sensor pre-processing, system bootstrapping, data avalanching, and ongoing safety). One clue is the “thinking fast and slow” note on the image.
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Meta’s AI Breakthrough Challenges Self-Improvement Narrative
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Holy shit… Meta just dropped a paper that flips the “AI will improve itself and leave us behind” narrative on its head and the implications are massive Here’s the wild part: They argue the safest and fastest path to superintelligence isn’t self-improving AI at all. It’s
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Waymo Autonomous Cars Safer Than Humans Human Driving Ban 2035
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Les voitures autonomes de @google les @Waymo ont 10 fois moins d’accidents graves ou mortels que les voitures conduites par des humains Êtes-vous comme beaucoup de chirurgiens américains favorables à l’interdiction de la conduite humaine Je pense qu’en 2035 ce sera interdit
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Poetiq Dominates ARC-AGI-2 Benchmark; New AI Tools Released
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Top stories in AI today: – Poetiq tops ARC-AGI-2 with Gemini variant
– The Rundown Roundtable: Our AI use cases
– Reverse engineer ads in minutes
– Poetry prompts can bypass AI guardrails
– 4 new AI tools, community workflows, and more Read more: https://
therundown.ai/p/poetiq-crack
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