Resisting the urge to finetune @ Salient. ex-@cresta and other doodlings.

Oakland, CA
Joined October 2013
All this compute power for language models but most of our knowledge are in screenshots.
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2026 will be the year of Claude Code UIs.
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Coding agents are so good now that you should be using it for everything. Text classification? Coding agent RAG? Coding agent Prompt optimization? Coding agent Recipe for next week's Christmas potluck? Coding agent
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The only late night parties in SF are labeling parties 🥳.
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If RL needs pre-training level scaling, are we admitting that RL learns really slow...
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I know RAG is dead, but please chunk your docs for the browser :) platform.openai.com/docs/api…
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OpenAI chose Windsurf because Ctrl+N doesn't delete your prompt :P
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Agents for recall, workflows for precision.
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Post training making a comeback. MLEs can finally breathe.
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I would say a skillful cook would have a sharper knife.
"A pair of hands skillfully slicing a ripe tomato on a wooden cutting board" #veo
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There's no reason to FOMO over a new model when you can wait one month and FOMO over a better model :)
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Can o1 at least help us with Pydantic upgrades.
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Now we can take coffee breaks during test time!
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After 10(?) years, I think I finally found a better alternative to just running plain Jupyter notebooks: PyCharm's notebook integration. I've been using it off and on for awhile, but it's reached to a point now I can wholeheartedly recommend.
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The Good: * strong autocomplete * codebase understanding with jump-to-definition * jump to previous cursor position * interactive tables * stable enough for remote notebooks Essentially, having all the IDE goodies in a notebook keeps me in the flow.
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Some Bad: * you pretty much have to restart PyCharm if something goes wrong * it’s the only thing that makes the fans spin up on my M1 * not Cursor 😛
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I just implemented agentic RAG. ☺️
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"Good artists copy, great artists distill."
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I predict GPT-4 will have far-reaching societal impact, like detecting ChatGPT generated text.
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