Angehefteter Tweet
we're on track to building the best dspy powered llm framework in the typescript world
Omar Khattab@lateinteraction
@VarunGodbole @isaacbmiller1 @DSPyOSS Yes — @dosco’s Ax is pretty much the official DSPy in TS.
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spacy
16.2K posts
spacy
@dosco
LLM research, systems and compilers | ax + dspy in TS | agent engineering
Beigetreten Temmuz 2008
1.6K Folgt4.9K Follower
bro why the hate i thought we was family
the tiny corp@__tinygrad__
@Bencera The only people who think AI is really good at things is people who aren't that good at things themselves.
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spacy retweetet
There’s a lot of alpha in putting your ego aside by being willing to be cringe, willing to fail in public, willing to ask for what you want and face rejection, etc.
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spacy retweetet
guess what NVIDIA used here for an "attention-based encoder-decoder to retrieve directly from its own internal representations"?
late interaction is sparse attention
Sumit@_reachsumit
Retrieval from Within: An Intrinsic Capability of Attention-Based Models NVIDIA enables encoder-decoder models to perform retrieval directly through their own cross-attention mechanism, eliminating the need for a separate retriever. 📝 arxiv.org/abs/2605.05806
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spacy retweetet
Work led by @jacobcares showed that little compute for building an LLM is actually in the final runs. The vast majority of compute goes to developing a recipe.
Creating the recipe openly is a huge lever in making sure the research community's compute pushes to new knowledge.
Ai2@allen_ai
Today we’re bringing new NSF OMAI compute online with NVIDIA Blackwell Ultra-powered systems, turning a $152M national investment from @NSF & @NVIDIA into a foundation for truly open AI research. 🧵
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as the models go bigger and the RL environments far more complex spanning every little task on the planet you really need to think in exponentials there is no option but space, expect every lab come around to this very soon
Tom Brown@nottombrown
Terrestrial datacenters will increasingly be bottlenecked by permitted real estate space. Lots of space in space.
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list of shit canada doesn't need
- summits
- endless debate
- innovation centers
- government intervention
- government purchased ai data centers
- tech conferences sponsored by boomer companies
things we need
- cracked founders maximizing shareholder value
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looking at my own personal inference demand and the rate at with it's growing. rate limit anxiety is a real thing
Daniel A. Saedi (DataManDan)@TheRealDanSaedi
Last week Jeff Dean and several other notable and experienced computer legends got together for dinner and came to the conclusion that demand for AI inference in 2030 will be 10000x higher than today If that’s the way we’re heading then nothing else matters other than AI
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i find the idea of ambient agents working for you fascinating. this is my goal with the dspy+rlm agent i'm experimenting with. and i obviously want to go crazy with those tokens so smaller models running locally
Ishan@radshaan
Claude now sends me random artifacts to read straight to my kindle
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reading this book will leave you with a strong urge to run your own local agents
deepa 🏴☠️@deeparocks
i can’t tell you how much im enjoying reading accelerando a window into the future where money doesn’t matter
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The Internet disaggregated information. AI reaggregates it.
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