Founding Member @Recursive_SI. Prev: @GoogleDeepMind | @UBC_CS | @UniofOxford | @SakanaAILabs | @Waymo. The AI Scientist | Genie | SIMA

London, England
Joined October 2019
Pinned Tweet
1/ From OpenAI's Navier–Stokes work to AlphaEvolve's faster algorithms, AI research is getting very real. Now, with Recursive Flint, we can experience that magic locally on our own laptops 💻 The whole research loop runs locally with a selection of tasks! Code + demos 🧵
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1/ From OpenAI's Navier–Stokes work to AlphaEvolve's faster algorithms, AI research is getting very real. Now, with Recursive Flint, we can experience that magic locally on our own laptops 💻 The whole research loop runs locally with a selection of tasks! Code + demos 🧵
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Nice mini repo in here for auto-research on your own machine. Auto-research can get spenny quickly, not anymore :)
1/ From OpenAI's Navier–Stokes work to AlphaEvolve's faster algorithms, AI research is getting very real. Now, with Recursive Flint, we can experience that magic locally on our own laptops 💻 The whole research loop runs locally with a selection of tasks! Code + demos 🧵
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Cong Lu retweeted
autoresearch on your local laptop! powered by Flint
1/ From OpenAI's Navier–Stokes work to AlphaEvolve's faster algorithms, AI research is getting very real. Now, with Recursive Flint, we can experience that magic locally on our own laptops 💻 The whole research loop runs locally with a selection of tasks! Code + demos 🧵
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Cong Lu retweeted
Cool application of @Recursive_SI's Flint for autoresearch—locally at home.
1/ From OpenAI's Navier–Stokes work to AlphaEvolve's faster algorithms, AI research is getting very real. Now, with Recursive Flint, we can experience that magic locally on our own laptops 💻 The whole research loop runs locally with a selection of tasks! Code + demos 🧵
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Thanks to our Eureka Machine being put on mac inference + the model design, my MacBook barely makes a sound while churning flint :D
Really handy repository, thank you. Also, this repository shows how rich AI researchers are: a macbook might risk thermo throttling under heavy loads; and it costs like 3 grand. For such cool demonstration of unified memory, mac mini/studio seems like a better investement
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Cong Lu retweeted
👉👉 AI Scientific Discovery Demos with our Recursive Flint-40B-A2B 🪨🪨!
1/ From OpenAI's Navier–Stokes work to AlphaEvolve's faster algorithms, AI research is getting very real. Now, with Recursive Flint, we can experience that magic locally on our own laptops 💻 The whole research loop runs locally with a selection of tasks! Code + demos 🧵
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The automation of science will let us break all human priors. As we saw in math, the answer was often deceptively simple and under human noses all this time! 🫨
My bar for AGI is still an AI winning a Nobel. But an AI researcher looking at the lm_head (that *everyone* tells you to keep in high precision) deciding to quantize it to 4 bits AND being actually right (0.7pt from bf16) is definitely impressive. Even better when the result are open-weights pushed on the Hugging Gace hub. Congrats @Recursive_SI !
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Cong Lu retweeted
I was kind of shocked that autoresearch works as well as this with a tiny model like Flint
1/ From OpenAI's Navier–Stokes work to AlphaEvolve's faster algorithms, AI research is getting very real. Now, with Recursive Flint, we can experience that magic locally on our own laptops 💻 The whole research loop runs locally with a selection of tasks! Code + demos 🧵
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5/ We used to associate useful autoresearch with the biggest closed, proprietary models. Flint can already propose ideas, write code, test it and improve results—all on a laptop. We were pleasantly surprised. You can inspect every experiment and choose what it works on next.
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6/ Try it yourself :) We're sharing the code, evaluators, demos and all attempts, including failures. Give Flint your own task and a way to measure progress, and watch it run! Code + demos: github.com/conglu1997/local-… Meet Flint: xitter.cf/cong_ml/status/2112949…
1/ Introducing Flint, our first model at @Recursive_SI !! A blazing-fast 40B model on the local coding Pareto frontier, shaped by autoresearch 🔥 Built from scratch in under four months with our Eureka Machine and an incredible team. Here's how 🧵
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Cong Lu retweeted
rl showed no signs of saturation, but unfortunately my colleagues @recursive_si didn't accept this trade two days before the release
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1/ Introducing Flint, our first model at @Recursive_SI !! A blazing-fast 40B model on the local coding Pareto frontier, shaped by autoresearch 🔥 Built from scratch in under four months with our Eureka Machine and an incredible team. Here's how 🧵
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
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7/ For recursive self-improvement, our research system has to improve the process that builds the models themselves. Better models make our Eureka Machine a better researcher. That researcher helps build the next generation. Flint is a step toward closing that loop.
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8/ Can't wait for you to try Flint :) Read the story: recursive.com/updates/introd… Weights (Apache 2.0): huggingface.co/RecursiveSI/f… Run it locally: Our rec engine: docs.recursive.com/edge/rec Ollama (macOS RC): github.com/ollama/ollama/rel…
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