scientist, musician, author, producer, poet, father CEO & co-founder, @nanotronics

New York
Joined August 2008
I had a podcast where I was fortunate to have amazing guests. This was just as GPT 3 came out. Despite LLMs exceeding so many expectations, I think it worth listening to @GaryMarcus and keeping in mind that the need for new approaches open.spotify.com/episode/2dg…
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This too, is why we have come up with Cubefabs.com Using novel materials, we can make chips with better power efficiencies for data centers, EVs, and more.
Blackstone says the next big thing is chips, data centers & power. The first two feed on the third as U.S. electricity demand climbs 40% in the next decade. Supply is $VST, $CEG, $OKLO, $CCJ, $LEU & $EOSE Demand is $NBIS, $IREN, $CIFR, $WULF & $CRWV
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RL and transformers don’t just train consumer models, they can train matter. The future factory is a living neural network, not a static assembly line.
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Everyone chases “big” as the path to scale. Cubefabs.com changes the paradigm. each fab can start small, fast, and autonomous , but together they act as the world’s largest megafab. The network itself is the scale.
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This is why we have come up with CubeFabs.com We need to de-risk the semiconductor supply chain.
The deeper you go into the semiconductor supply chain, the less believable it becomes. > TSMC, a company on a small island, produces over 90% of the world’s most advanced chips > TSMC relies on dutch company ASML for EUV lithography machines > ASML depends on German Company Carl Zeiss, the only firm in the world capable of making mirrors precise enough for ASML’s requirements. > The light source for ASML’s EUV machines is produced by a single company in San Diego. > The photoresists used to print transistor patterns are produced by Japanese firms like JSR and Tokyo Ohka Kogyo. > The ultra-pure quartz needed to make silicon wafers comes entirely from a single mine in Spruce Pine, North Carolina. > The copper and rare-earth materials inside chips are mined and refined across Chile, the Congo, and China. > The specialized gases used in chipmaking, like neon and fluorine, largely come from Ukraine and Japan. > The design blueprints for these chips often come from American companies like NVIDIA, AMD, and Apple, which rely on software tools from U.S. firms like Synopsys and Cadence. Remove any single piece and the whole system collapses.
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I would love to see a day of as many people using AlphaFold instead of image generators . We might cure diseases instead of just drawing them. @demishassabis @DeepMind @BakerLab
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Like most people I am thrilled that machines are getting smarter, but the the problem is that we have forgotten what we wanted to be smart for.
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It seems like low hanging fruit is being missed about energy efficiency. It can come from novel power devices, that can only be made using AI. cubefabs.com @sama @elonmusk @JeffBezos @DarioAmodei @demishassabis
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GPUs have proven that hardware can transform software. The next shift that will be coming is AI transforming hardware itself.
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I really appreciate your openness to work on energy and chips for data centers to make AI successful @DavidSacks .
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This is my daughter years ago with Jane Goodall. I respected her willingness to change viewpoints when she was wrong. Many scientists defend their own ideas no matter what evidence presents itself these days. Not very scientific .
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“AI agents” are not the endgame. In 1982, my father built a company eliminating analog devices with PCs for factories. That revolution was hardware first. The next leap needs to be infrastructure, not avatars.
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I just watched a video where @iampetermartin was quizzed on whether several piano solos were AI or human. He got them right, but it was hard. I stick by a longtime view that even if indistinguishable, art is human. This from 2017 youtu.be/KCDVEn5Wzmg?si=vttP…
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I love that David Bowie said” Tomorrow belongs to those who can hear it coming.” What are we listening to? I listen to the hum of ai factories. Certainly not as cool as Bowie, but relevant. Listening to sounds of @577Records also.
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I hear often about hardware as a limit to AIs future. It is certainly is a challenge, but it is also also an invitation to invent. @jimkxa and @zelooftron at Atomic Semi are an examples of an important way of breaking through that barrier..
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Many are saying “hardware is the bottleneck.” Maybe. But bottlenecks are where real builders live. That’s why I pay attention to @jimkxa and @zelooftron at Atomic Semi . they’re inventing and building , not shouting about rivals.
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I have found that any conversation that I have had about abundance all comes down to false scarcity and this is currently a distribution problem in a very abundant world. I like this by one of the best, William Gibson: “The future is already here — it’s just not evenly distributed.” I know I seem obsessed with factories, but we have to build with AI-powered factories to distribute innovation itself.
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Henry Ford built modern mass production, but that scale created rigidity, which was necessary with the tools available. Now, AI-driven factories can adapt in real time with flexibility and precision. Ford’s dream has been upgraded.
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Max Tegmark said AI could be “life’s last invention.” That is unless we steer it to be our first true collaborator. Factories provide the sandbox. @tegmark
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