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@seeklis

founder @hud_evals. prev cogsci @yale. open to talking about natural intelligence, flowers, and the human condition
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lorenss Verified account @seeklis
Shop and train datavendor.ai
datavendor.ai DataVendor | Monetize your data supply DataVendor matches valuable data, code, and technical expertise with AI companies that need high-quality training and evaluation supply. Sell codebases, tasksets with their RL environments, and raw...
DataVendor @datavendor_ai Oct 22
We're announcing the public beta of datavendor.ai

We spent the last two years building the best solution for people buying and selling data, whether you're a researcher in a lab or a company trying to sell data.

Data is the fundamental bottleneck for AI progress, and DataVendor will be the infra that solves it.
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lorenss Verified account @seeklis
Some of the most impressive robotics environments done at hud!
hud @hud_evals Aug 4
We created Assemble Bench, a benchmark for robot models based on the NIST standard for small-parts assembly + a synthetic post-training approach we refer to as CG-DAgger.

Our goal was to explore simulated robotics environments and to see if they - like environments for coding agents - could serve as training environments for vision-language-action and world-action models (VLAs, WAMs).
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lorenss Verified account @seeklis
we're wrong when we say RL will only lead to spikes in domain-specific intelligence. just like world models emerged from scaling single-token language inference, what emerges through scaled reasoning in deepseek is implicit self-reflection.