Tim Burton

1.9K posts

Tim Burton

Tim Burton

@notschmee

Techno-optimist. AI+Crypto since 2015. Always building, always learning. Husband & Girl Dad.

Kentucky, USA Katılım Kasım 2023
195 Takip Edilen629 Takipçiler
Tim Burton retweetledi
Andrej Karpathy
Andrej Karpathy@karpathy·
- Drafted a blog post - Used an LLM to meticulously improve the argument over 4 hours. - Wow, feeling great, it’s so convincing! - Fun idea let’s ask it to argue the opposite. - LLM demolishes the entire argument and convinces me that the opposite is in fact true. - lol The LLMs may elicit an opinion when asked but are extremely competent in arguing almost any direction. This is actually super useful as a tool for forming your own opinions, just make sure to ask different directions and be careful with the sycophancy.
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Tim Burton
Tim Burton@notschmee·
@tonybalogna The library-to-makerspace pipeline is something id genuinely love to see everywhere
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Tony Hrvatska 🍀 🕊
Tony Hrvatska 🍀 🕊@tonybalogna·
Just found out our library has a $3000 3D printer. The things that are still possible in a low crime right wing town.
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jack
jack@jack·
is the future value of "open source" code anymore? i believe it's shifting to data, provenance, protocols, evals, and weights. in that order.
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Tim Burton
Tim Burton@notschmee·
@sundeep an engineer’s value is measured in shipped product, not how fast they drain your token budget. this is Herbalife logic with a CUDA wrapper.
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sunny madra
sunny madra@sundeep·
“If your $500K engineer isn’t burning at least $250K in tokens, something is wrong.”
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MIT CSAIL
MIT CSAIL@MIT_CSAIL·
"A good programmer is someone who always looks both ways before crossing a one-way street." — Doug Linder
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clem 🤗
clem 🤗@ClementDelangue·
Our biggest open-source repos are getting overwhelmed by AI slop which literally makes Github unusable (~a new pull request every 3 minutes). Fun new challenges in an agentic world!
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Tim Burton retweetledi
Kimi.ai
Kimi.ai@Kimi_Moonshot·
Introducing 𝑨𝒕𝒕𝒆𝒏𝒕𝒊𝒐𝒏 𝑹𝒆𝒔𝒊𝒅𝒖𝒂𝒍𝒔: Rethinking depth-wise aggregation. Residual connections have long relied on fixed, uniform accumulation. Inspired by the duality of time and depth, we introduce Attention Residuals, replacing standard depth-wise recurrence with learned, input-dependent attention over preceding layers. 🔹 Enables networks to selectively retrieve past representations, naturally mitigating dilution and hidden-state growth. 🔹 Introduces Block AttnRes, partitioning layers into compressed blocks to make cross-layer attention practical at scale. 🔹 Serves as an efficient drop-in replacement, demonstrating a 1.25x compute advantage with negligible (<2%) inference latency overhead. 🔹 Validated on the Kimi Linear architecture (48B total, 3B activated parameters), delivering consistent downstream performance gains. 🔗Full report: github.com/MoonshotAI/Att…
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Unsloth AI
Unsloth AI@UnslothAI·
Note: Claude Code invalidates the KV cache for local models by prepending some IDs, making inference 90% slower. See how to fix it here: #fixing-90-slower-inference-in-claude-code" target="_blank" rel="nofollow noopener">unsloth.ai/docs/basics/cl…
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Polymarket
Polymarket@Polymarket·
BREAKING: New York bill would ban AI from answering questions related to medicine, law, dentistry, nursing, psychology, social work, engineering, & more.
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Tim Burton retweetledi
Liquid AI
Liquid AI@liquidai·
> 385ms average tool selection. > 67 tools across 13 MCP servers. > 14.5GB memory footprint. > Zero network calls. LocalCowork is an AI agent that runs on a MacBook. Open source. 🧵
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tobi lutke
tobi lutke@tobi·
Turns out, you can vibecode your own motorsport telemetry tools instead of waiting for mac ports
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Tim Burton retweetledi
Parmita Mishra
Parmita Mishra@parmita·
You are a feature. Not a bug.
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Tim Burton
Tim Burton@notschmee·
@cgtwts don’t undervalue the planning step
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CG
CG@cgtwts·
How it feels when Claude one-shots a task i’ve been planning for months and everything feels unreal
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Duca
Duca@big_duca·
Real question: What happens to the labs when models get so good. And you can run them locally on your computer or iPhone? With no latency. And no cost?
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Tim Burton
Tim Burton@notschmee·
Convenience was the vulnerability. We knew. We shipped anyway. Context is the vulnerability. We know. We’re shipping anyway.
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