Michael Malize @MichaelMalize

aspiring goose farmer Joined July 2020

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Michael Malize @MichaelMalize

4 days ago

@leothecurious This is the deepest davinci tweet since the last one

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Michael Malize @MichaelMalize

4 days ago

@beffjezos Great minds think alike

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Michael Malize @MichaelMalize

5 days ago

@yourfavorito They must be taking these measurements on rooftops instead of down on the streets, where it’s “probably fatal”

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MIT just built an AI that can control your body. It can move your fingers, make you play piano, even if you don’t know the song! AI decides the hand movement. Wrist pads send signals to your muscles, so your fingers move even if you don’t know how

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Bryan Johnson @bryan_johnson

3 weeks ago

Breaking news for people who want to look hot, be young and not die.   A few years ago, two college dropouts told me they could accelerate longevity by building a faster AI chip.   I invested, and they just pulled it off.  What it means:  > 10x more throughput (tokens per second) for the same power footprint > Dramatically lower operational costs for executing today’s frontier models > Run far larger, more capable AI models within the same power and thermal budget, because a transformer-specific chip spends a fraction of the energy per token that a general-purpose GPU does Rob and Gavin's approach resonated with me because solving aging is a gigantic combinatorial search problem. The chemical space of small, drug-like molecules has around 10^60 possibilities. These compounds need to be mapped against a human proteome derived from 20,000 genes, including 1,600 transcription factors, and a dense web of interactions among them.   The size of the combinatorial space is problematic. You need to identify which targets to modulate, within specific cellular lineages, at exact dosages, and in optimal temporal sequences.  Traditional high precision physics simulations are too slow to brute force the problem. You can shortcut it with AI inference, using frontier neural networks as hyper fast surrogate models to predict biological interactions instantly. By hardwiring transformer logic into silicon, Etched offers the infrastructure needed to run these massive biological foundation models at scale.  I'm surprised and impressed they were able to pull this off, and so quickly. They already have $1B in orders

Etched @Etched

3 weeks ago

We're coming out of stealth. We've built our first racks after a successful A0 tapeout, $1B+ in customer contracts, and $800m raised. Early customer tests show us achieving SOTA throughput, latency, and power efficiency on inference workloads. Our first racks ship this summer.

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Finn Hulse @finn_hulse

2 months ago

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Sam Altman @sama

2 months ago

OpenAI Robotics is hiring, looking for exceptional full-stack hardware, ops, systems, and ML engineers to help us program and manufacture robots that are useful for society. AI should be able to help people in the physical world. In the short term, we are focused on robots to support skilled workers to build our future infrastructure; in the long term, we imagine everyone having a personal robot doing anything they need. Our world simulation research program, led by Aditya Ramesh (@model_mechanic), has evolved over the past year into OpenAI Robotics. Progress is rapid, and based on a foundation of co-design between robotics hardware and ML research. If you love working hands-on across the robotics stack and want to build the future, please consider joining us. Send an email with your background and evidence of exceptional accomplishment to: [email protected]