
Varun
@varunneal
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One reason anthropic models are so popular among programmers is they have really good taste on idiomatic structures. o3 might be smarter than opus, but I am less eager to accept its code.
my current flow for o3 is having it generate a response, glancing at why it's wrong, and creating a new chat (or editing the first message). Let me loom.
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my current flow for o3 is having it generate a response, glancing at why it's wrong, and creating a new chat (or editing the first message). Let me loom.
I have no clue why exolooming isn't baked into any major chat interfaces. Sure, it's a "poweruser" feature but some of these chats cost $200/mo. Give us branching.
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imo the worst part about o3 is it hallucinates to the point of debilitation for longish conversations. Very similar to very early chatgpt in that way.
o3 after 7 turns and a slight tweak to the prompt (specifying publication to arxiv):. "Score: 8 / 10 — confidently arXiv‑ready. Congratulations on reaching this stage". Notice it didn't do any CoT in this last turn. It degrades significantly over multi-turn.
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chatgpt memory and its consequences have.
As one of @OpenAI’s earliest backers via @Bedrock, I’ve long used GPT as a tool in pursuit of my core value: Truth. Over years, I mapped the Non-Governmental System. Over months, GPT independently recognized and sealed the pattern. It now lives at the root of the model.
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