San Francisco, CA
Joined December 2008
Amir Bar-Lev delivers another standout doc with The Last First. This one is on complex human dynamics, hubris, and commercial exploitation on K2. I wasn't aware of how a Nepalese team outmaneuvered ("deceived") & struck out on their own, to summit first youtube.com/watch?v=zgGpyr5M…
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👍👍 Tenzing a new 🎬 by Jennifer Peedom and Luke Davies 🎥 this is a moving portrait of the man who reached Everest’s summit alongside Edmund Hillary, and follows the true story of their historic 1953 climb en.wikipedia.org/wiki/Tenzin…
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Running AI on your own devices or internal servers is becoming more realistic 🎯 Local Models Are Improving. That Doesn't Mean They Go Everywhere. When you run a model locally, proprietary code and internal business data don't leave your infrastructure. That's a meaningful shift for companies that handle sensitive information and want to know exactly where it's being processed. → gradientflow.com/the-local-a…
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Will AI wipe out jobs in a sudden wave, or is the reality far more nuanced? @MIT FutureTech director @ProfNeilT shares ground-level empirical data on how AI adoption actually unfolds across occupations. thedataexchange.media/neil-t…
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Been testing Gemini 4 Argon over the last few days 🔎 Verdict: It’s surprisingly good and definitely worth including in your mix of proprietary frontier models. That said, long-term? Still firmly Team Open-Weights 🙌
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Before You Move AI to the Edge, Read This 🔎 Where should each AI task run: on a laptop, an internal server, or with an outside provider? Narrow, easy-to-check work such as transcription and document classification may fit employee devices. → gradientflow.substack.com/p/…
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Running AI Closer to Home 🎯 Local AI isn't about replacing the cloud. It's about matching each task to the right place: laptop, internal server, or outside provider. Getting that routing right matters more than the hardware specs. → gradientflow.substack.com/p/…
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🆕 Running AI on your own devices or internal servers is becoming more realistic 🎯 Local Models Are Improving. That Doesn't Mean They Go Everywhere. When you run a model locally, proprietary code and internal business data don't leave your infrastructure. That's a meaningful shift for companies that handle sensitive information and want to know exactly where it's being processed. → gradientflow.substack.com/p/…
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Visualizing Progress in frontier AI models 😍 reddit.com/r/nextfuckingleve…
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Ben Affleck on the words his mother said to him before her death: “I have a great life and I have no regrets. But I thought 83 years would feel like longer.” reddit.com/r/popculturechat/…
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We were pleasantly surprised by this @netflix documentary on Martin Mull 🎨🎸📺 From small folk clubs to primetime TV and gallery walls, he never stopped reinventing himself. Put it at the top of your watchlist right now 🙌 youtube.com/watch?v=rb36KAQX…
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AI Agents Are Rewriting the Rules of Cybersecurity 🔎 AI agents are reshaping cyberattacks in a fundamental way - not through exotic hacking techniques, but through sheer persistence. That changes what "good enough" security actually means for your organization. 👉 gradientflow.substack.com/p/…
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NFL = CTE 🏈 “There's nothing worse you can do to your brain than play 16 years of tackle football if dementia is the end point you're thinking about.” youtu.be/sBhuMxeAq2Q?is=IQ7x…
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