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D (@dspury) profile picture

los angeles | builder, vfx artist

Joined August 2024
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progress on my archive app. three.js still needs some work so it feels more intuitive. surprisingly very snappy with 500 assets.
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progress. every repo starts with a (null) then evolves into a class determined by what kind of work youre doing. xp gain determined by harness runtime, commits, and code language being written.
added harness/repo detection, sprite generation loop is getting there. goal is to make sprites spawn specific to the harness/repo/task.
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tried 6.1 now im getting 5 prompts a week lol
all the new flash models are insanely efficient, meanwhile i get one prompt a week in codex
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Don't use this Build your own software using their tokens So when their tokens become too expensive You can switch to your own GPUs Your compute. That you control So you yourself can't be controlled You need to control your stack -- or you become enslaved
Your dot is ready to meet you.
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all the new flash models are insanely efficient, meanwhile i get one prompt a week in codex
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added harness/repo detection, sprite generation loop is getting there. goal is to make sprites spawn specific to the harness/repo/task.
pet bar widget thing
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pet bar widget thing
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just one more reset twin @OpenAI
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mini server inbound
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5.6 luna is the perfect level of dumb
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"build a homelab" sir i need a home
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they gave Opus 5 the stupid pill
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took photos of a monitor arm and the screws I had then walked away, part was printed when I got home
genuinely impressed with how good AI has gotten at CAD modeling
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local models are about to cause another mac mini craze
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genuinely impressed with how good AI has gotten at CAD modeling
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after tinkering with agents for months the conclusion I’ve landed on is that they will be irrelevant soon
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Yap method is undefeated
One pattern I find useful for working with LLMs is a nice long ramble session. Sometimes the LLM needs more bits to understand what you're trying to achieve, but you're too lazy to type them. In these cases I like to lean back, switch to /voice and just ramble for like 10 minutes, total mess, anything goes, full stream of consciousness. Sometimes I declare it up top, something like "switching to speech recognition sorry for any typos...". Sometimes I turn it into a small interview of a few turns. But I find that the LLMs are somehow very good at reconstructing long incoherent rambles and often their echo of your own tangle of thoughts comes out quite a bit cleaner than what you started with. The result is that you improve the mind meld and have to correct things less from that point on.
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Discord and Slack missed a huge window to build something like this.
A preview of Buzz...buzzing 🐝
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nbd everything’s fine 🙂
To summarize: HuggingFace got autonomously compromised by a model from an American company. HF then tried to use American frontier model(s) to defend themselves, but were blocked by guardrails. HF then had to turn to open source Chinese models to defend themselves from another American company.
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letting 5.6-Sol audit my entire agent stack top to bottom across 6 different machines. 4 days in now and the amount of optimizations it has identified is wild.
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i <3 tui
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