Anthony McClosky

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Anthony McClosky

Anthony McClosky

@amcclosky

Software Developer and sports fan. Currently: https://t.co/e1BQaAQ8iI Previously: @realtordotcom, @OfficialOpcity, @BlackLocus, Optaros, @BaylorECS

Austin, TX Katılım Ekim 2009
4.8K Takip Edilen783 Takipçiler
Anthony McClosky
Anthony McClosky@amcclosky·
@dosco Great. I'll see if I can find some time to take a stab at it.
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spacy
spacy@dosco·
@amcclosky we have snowflake so big query won’t be that hard it was on the list just couldn’t figure out a good way to add it to the integration test harness same issue with snowflake. in short yes open to contributions
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spacy
spacy@dosco·
i’m adding self discovery to graphjin it’s going to be the worlds best way to connect AI models and your entire organization, data systems code everything. let the models explore using graphql with built in guardrails don’t constrain them with your homemade functions
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Anthony McClosky
Anthony McClosky@amcclosky·
@RhysSullivan is the more interesting thing to you the opinionated control flow or that it has a large standard library of first-party packages? something I'm not thinking of?
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Anthony McClosky
Anthony McClosky@amcclosky·
@IanLandsman you were thinking of Codex Spark with is different than /fast mode which is an actual usable version of the fast mode in Claude. Usable in the sense that it pulls from your subscription credits instead of “extra usage” credits like Claude. cc @aarondfrancis
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Anthony McClosky
Anthony McClosky@amcclosky·
@aarondfrancis Oh I was hoping you had worked on something to pick up the agents Claude was spawning on it’s own.
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Simon Willison
Simon Willison@simonw·
@bradenjhancock Asking because about once every six months I put out a call for examples of fine tuning LLMs working in practice and, aside from the obvious examples like Cursor, I don't often get many great answers
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Braden Hancock
Braden Hancock@bradenjhancock·
Fine-tuning frontier models was a mostly dominated solution anyway. Use an untuned frontier model for prototyping or personal use, but for the large majority of production use cases where you’re going to be doing the same task thousands to millions of times and/or your business depends on the quality of your solution, fine-tuning is basically required. And if you’re fine-tuning anyway, why not get the dramatically better cost, latency, privacy, and control benefits of building on an open source base. The gap between fine-tuning vs not is usually much larger than the gap between closed vs open.
Braden Hancock tweet media
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Anthony McClosky
Anthony McClosky@amcclosky·
@aarondfrancis @dillon_mulroy I’ve come around to the idea that an individual tool or product shouldn’t need a skill to work well but as a format for sharing a workflow that compose multiple tools in to something useful that can be shared they are great.
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Dillon Mulroy
Dillon Mulroy@dillon_mulroy·
i think skills are a mistake and the wrong abstraction. i almost never want my agent auto invoking them and i have built custom tooling to "toggle" them on/off to prevent them from always being present in my context window.
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Ian Landsman
Ian Landsman@IanLandsman·
We're pushing @TokenTownPod another week. You will get your entertainment when we are ready to provide it and not a minute before.
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Anthony McClosky
Anthony McClosky@amcclosky·
Was the goal worth achieving? Who can say?
Anthony McClosky tweet media
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Romain Huet
Romain Huet@romainhuet·
We’re thinking about the next wave of Codex plugins. What’s one you’re missing today?
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Aaron Francis
Aaron Francis@aarondfrancis·
@amcclosky oh you know what, I dont think i tested tables at all! Adding a new todo (in solo (for solo))
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Aaron Francis
Aaron Francis@aarondfrancis·
You ever need a place for your agents to collaborate on some markdown? Tell it to write a scratchpad. You get full deeplinks, agents can read it, humans can read it. Make a giant plan, stash it, let multiple agents coordinate off of it.
Aaron Francis tweet media
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