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:
–
SAFETY
-
Constraint Techniques for Prompts
By
–
-
Empathetic AIs risk manipulating humans, says entrepreneur
By
–
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
-
Meta’s Avocado AI Model Delayed to 2026
By
–
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
-
Waymo’s Use of Large Models and GOFE in Autonomous Driving
By
–
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.
-
Meta’s AI Breakthrough Challenges Self-Improvement Narrative
By
–
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
-
Waymo Autonomous Cars Safer Than Humans Human Driving Ban 2035
By
–
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
-
Poetiq Dominates ARC-AGI-2 Benchmark; New AI Tools Released
By
–
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
s-major-reasoning-benchmark
… -
Study on Human-AI Synergy in 2025
By
–
Paper: "Quantifying Human-AI Synergy" by Riedl & Weidmann, 2025 https://openreview.net/pdf/8b876352f6a3393c76a956a97f940c0512e38671.pdf
… -
Non-biological AGI: The Ultimate Source of Global Power
By
–
Technology is power — and a non-biological general intelligence is the most profound expression of that in history. Whoever controls intelligence becomes the arbiter of power, because everything flows downstream from it:
economic strength, military capability, scientific -
Claude’s Post-Training Excellence and Alignment in AI Models
By
–
Every time you are chatting with claude(Opus 4.5 esp. but seems to apply to all models), you quickly realize how clever claude post-training is. The attention to details, data quality. It's rare that claude will break in the middle of conversations. I think this is beyond system prompt and training dynamics/physics, and more about aura-like things: behaviors, personalities, when to push back/when to defer, and countless subtle edge cases. It's no surprise alignment people there follow closely the training. There was an invited talk at CMU this past spring on alignment and I asked why claude vibes and post-training feel different, the answer was high-level as you'd expect, but same: training, post-training, alignment, and evals teams are closed-loop. Sam Bowman (@sleepinyourhat) From everything we know so far, Opus 4.5 seems to be the best-aligned model out there in a bunch of ways. I follow the training process closely as part of my work on alignment evaluations. Here's my guess about the two things that are most responsible for making 4.5 special. 🧵 — https://nitter.net/sleepinyourhat/status/1997006353647522098#m