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Matthew Lynley
@mattlynley
Technical PMM @dMatrix_AI. I also run a blog called Supervised. Recovering data analyst, math @UNC. Prev: Sr. Data Analyst @Pluralsight, blogger @TechCrunch.
San Francisco, CA
Joined February 2008
Posts
  • Pinned
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    Good morning! Today, I am launching a new newsletter covering the incredibly fast-moving AI industry: Supervised. supervised.substack.com/p/welcome-to-s…
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    After losing out to PyTorch, Google is quietly moving to roll out a new AI framework internally called JAX. It's expected to become the underpinning of Google's products, fixing some of TensorFlow's biggest pain points that frustrate Googlers internally
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    I think my new favorite genre of story is people bailing on San Francisco and their menu item price that finally did them in
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    Stability AI has confirmed its funding round at a $1B valuation. Some notes from our sources: its cloud bill for Stable Diffusion training etc exceeds $50M and it is looking at a "holding company"-like model.
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    Yesterday at Build, Microsoft unveiled a suite of tools for developers around deploying AI models. One that might have flown under the radar was a direct integration with the Hugging Face hub right in the middle of its new model catalog
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    After a few years in analytics/data science, I'm back to journalism. I'm starting today at Insider, covering big data and AI. Excited to cover this industry now that I'm considerably more familiar with how the technology works. My DMs are open—import tips/scoops!
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    Hugging Face, a popular machine learning startup worth $2B, is now working with Microsoft to drop the barrier to spinning up pre-trained ML models. Gives Microsoft a stronger wedge into DS while increasing availability of 10k+ HF models to ML enthusiasts.
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    The Twitter activity around Germany's goal flurry looks insane buzzfeed.com/mattlynley/ger…
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    GIF
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    rare footage of me blogging on deadline pic.x.com/8dvi8kSXsH
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    Replying to @mattlynley
    JAX makes it dramatically easier to spread out the work of ML models across multiple chips using Google's XLA. It taps one of Google's biggest internal perks—readily available TPUs at no cost—but has some work to do to improve support for GPUs.
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    if @marissamayer retweets this i'll make yahoo my home page
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    Elon: "A lot of people think we cobbled together some laptop batteries and have a great car. It's quite a lot harder than that."
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    Replying to @WaltHickey
    This actually already happened one time and yeah it was funny af