Just sent the PCB off to be printed! I used Fable 5 (extra) to do the electrical engineering when it was still around... and then gpt5.5 (extra high) to do a few component swaps and placement changes.

got a fresh start of codex limits as astra was dropped yesterday. and 165 commits & 23 hrs later, im out of my limits again. need to use a banked reset. astra is a beautiful model to work with. much better than gpt5.6 sol at filling in the gaps, and not having to boss around too much wrt specific conventions I want followed.

SemiAnalysis on $META “overcapacity” and market reactions with $NBIS and others: “We believe Meta’s datacenter and compute will accelerate”. “Capex in 2027 will be shockingly high”. Recent global crash, especially in the photonics sector was stupid… Off misleading narratives of Meta dropping out of AI race to sell excess compute… When in fact things are likely to accelerate from Meta catching up to GPT5.5. I’m personally expecting a sharp V recovery, especially with the names that crashed 50%+ from this narrative.

The future of AI isn't just about the model - it’s about the memory. 🧠✨ We are excited to announce that new model from @Openai GPT-5.5 is now integrated into the ZetaChain ecosystem! Experience the convenience of a persistent, user-owned memory layer that integrates fluidly with every AI model. ✅ Multi-model support ✅ Private & Decentralized ✅ Consistent memory across models Stop switching and losing context. Start building with a universal memory layer on ZetaChain. #ZetaChain# #GPT5# #AI# #DecentralizedAI# #Web3Innovation# #OpenAI#

⚡ Stop treating intelligence and efficiency as separate. GPT-5.6 maximizes intelligence per token to deliver equal-or-better performance more cheaply and quickly. Title: How GPT-5.6 fuses frontier intelligence with frontier efficiency URL: ⚡ Overview GPT-5.6 is trained to optimize both task success and efficiency, taking a more direct path through tasks. OpenAI calls it their greatest intelligence-per-token efficiency yet. 🧩 Problem Solved Frontier models are smart, but reasoning tokens, latency, and cost are the wall in production. GPT-5.6 makes efficiency a first-class goal, pushing the performance-vs-cost tradeoff outward. 🛠 Methodology & Lineup ・Sol: flagship for frontier reasoning and long-horizon agentic work ・Terra: everyday balanced model, GPT-5.5-competitive at about half the cost ・Luna: fastest and cheapest (~80% less than Sol) On serving: improved speculative decoding gives 15%+ better token generation, and GPU kernel improvements cut serving cost 20%. 📊 Results On the Artificial Analysis Coding Agent Index, Sol (max reasoning) sets a new SOTA of 80, beating Fable 5 by +2.8 while using under half the output tokens, half the time, and ~1/3 less cost. On ExploitBench it matches Mythos Preview using ~1/3 of the output tokens. #GPT56# #OpenAI#

gpt-6 sol should've been called gpt-5.7 sol and i'm not even joking. nothing about this thing feels like a new generation of models. opus 5.5 already makes it look fucking embarrassing and apparently sonnet 5.5 is about to do it again. really bad look for openai.

gpt-6 sol is massively underhyped it's somewhat better than gpt-5.6 sol while being cheaper, much faster, and keeping most of that same feel -- maybe it's basically 5.6 with more RL + some astra distillation mixed in either way, i think we get a gpt-6.1 drop by oct which pushes much closer to Astra with a lot more RL

GPT-6 Luna and Sol are a step towards health intelligence too cheap to meter. ♥️ These models push the frontier of performance per dollar on HealthBench Professional. GPT-6 Luna scores higher than GPT-5.6 Sol–our best model a few weeks ago–at their highest reasoning efforts, despite GPT-6 Luna being ~34x cheaper: about a third of a cent per response. HealthBench Professional consists of real clinician tasks, including care consultations, medical documentation, and research. This evaluation is designed to be challenging and focuses on especially complex and rare situations. I’m excited for what abundant health intelligence can unlock for patients and clinicians.