Astra and Research Engineering / Abstraction

<!-- SC_OFF --><div class="md"><p>My dot is reviewing PRs (unprompted) by reading my gmail and responding in our chat session since it doesn’t have Github access. (Public

<!-- SC_OFF --><div class="md"><p>I have been using ChatGPT almost exclusively for the last years. Only with the recent downgrades in usage and price increases have I started

<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1ww0lpo/built_this_game_with_astra_6/"> <img alt="Built this game with Astra 6"

<!-- SC_OFF --><div class="md"><p>How is Astra actually helping you guys?</p> <p>What are you using it for, and what does it do better than the older models?</p> <p>Curious about

<!-- SC_OFF --><div class="md"><p>Making trading strategies with Astra today. It started with a convo then to creating algos. Compared to Sol, Astra creates folders, zipped files,

<!-- SC_OFF --><div class="md"><p>After hearing rumors that GPT-6 Astra uses some form of recurrent depth, I decided to make a benchmark that specifically forces LLMs to do long

<!-- SC_OFF --><div class="md"><p>Are we at a place where frontier LLMs are hitting the laws of diminishing returns hard, so Open AI / Anthropic / etc are doing more and more

<!-- SC_OFF --><div class="md"><p>Astra seems to lean harder toward structured execution: tighter, more literal, more procedural, and less willing to wander or improvise. That can