
nice to see community repro of how token efficient GPT-5.3-Codex is! and we’re only getting started

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nice to see community repro of how token efficient GPT-5.3-Codex is! and we’re only getting started
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indeed what I find amusing is that you can encapsulate a lot of the logic from those billions of inits into single markdowns and codex or any other coding agent really would run with it like those never mattered in the first place
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We keep a changelog below for updates across all the places you can use Codex, but it’s easy to miss if you’re mostly in the app! Curious, would in-app release notes help more, or is a web feed like this better?
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codex is really impressively detail oriented
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would probably need to expose chat as a non-permissioned channel rather than something that has system access
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openclaw might be an interesting new backend primitive: it's a server that configures itself. instead of wrapping chatgpt to build your product, can your AI just interface with your customers directly?
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I've only had internal tools but will deploy my first few to production this week w/ this 1. end-to-end tests for the core api. these are core flows that should never break.
2. hand testing every frontend component The process is slower than I'd like so far

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A Complete Guide to Spherical Equivariant Graph Transformers https://
buff.ly/eowtMFz
#AI #MachineLearning #DeepLearning #LLMs #DataScience
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would love for you to give codex a try for this, team trained codex to specifically follow instructions and 100% of the code across OpenAI repos is reviewed via it