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Host on MTS Live, an X-native daily tech news show covering all things AI and frontier…
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Sophia Dew shared thisDebated Andrew Yang on Jubilee! “20 AI optimists vs. 1 AI realist” Filmed this video 8 weeks ago, but had to keep it secret until now. So glad the video is finally out! One of my all time favorite shoots. Thanks Andrew for such a fun debate and happy to see we agreed on so much!
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Sophia Dew reposted thisSophia Dew reposted thisOur host Sophia Dew went on Jubilee Media to debate Andrew Yang about what happens to human work as AI gets better. Sophia argues that rising AI productivity will increase demand for scarce human skills like taste and judgment. Yang’s counter is that those skills may become more valuable precisely because fewer people can afford to pay for them: “With Jevons paradox, as AI increases productivity, there also increases more demand. One of the biggest areas where we’re seeing a rise in demand are things that are uniquely human and that AI cannot replace.” “Things like taste, like judgment… there is more demand for that, creating more scarcity for it and creating new types of markets.” “If I’m rich and I want someone to tell me what painting I should hang in my living room, I will pay a human to do it. That’s only because the ultra winners are going to want people’s taste.”
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Sophia Dew reposted thisSophia Dew reposted thisGagan Biyani, co-founder of Udemy and Maven, and Erik Torenberg, general partner at Andreessen Horowitz, launched the Horowitz Andreessen Academy. Tuition-free, no grades, no tests, 50 students, and over 200 speakers including Satya Nadella, Sam Altman, and Steven Sinofsky. Gagan Biyani explains what a day at the school actually looks like: build robots, work on AI, do real research, then learn from people like Jensen Huang. "A day starts with your pursuits. They might have five pursuits at one time, they might have three, they might have 18. Someone will push the limits on this, I'm sure." "Each of these pursuits can be learning a subject. It can be building a robot, or building a new type of AI or LLM. Or it can be going and doing research in the field with people." "The school has to become a network. If you wanna learn how an inference stack works, you need access to the people who are building those things." "These people will come by for guest lectures. We've got Jensen Huang. We've got Patrick Collison."
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Sophia Dew shared thisLast week we hosted over 40+ friends of the show up in Napa! It was a full family affair. My mom helped plan the event, my aunt led the wine tasting, my dad took the photos, and my grandpa hosted the after party. The first and best MTS offsite so far.
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Sophia Dew shared thisGagan Biyani (co-founder of Udemy & Maven) just announced the Horowitz Andreessen Academy, a highly selective school in San Francisco for the most ambitious young builders. Today, I interviewed him alongside Erik Torenberg on MTS Live to discuss the future of education and what it could look like to rethink how the next generation learns.
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Sophia Dew reposted thisSophia Dew reposted thisRocket Lab CEO Peter Beck says his company can now respond to government space missions at a pace once reserved for nations and militaries. On one mission, Rocket Lab had 24 hours to integrate a payload, launch its own spacecraft, and rendezvous with a satellite. It reached orbit in 16 hours and 42 minutes: “They gave us a call up, and we had 24 hours to integrate our payload, a spacecraft that we built, launch it, and rendezvous with the spacecraft in orbit.” “Within 16 hours and 42 minutes, we were already in orbit.” “This is the new world, where commercial companies can truly respond at what you would’ve thought of as a nation or defense cadence.”
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Sophia Dew shared thisMy first time seeing the NVIDIA DGX Station in person! It's over 200 pounds, costs over $100k+ USD, and can locally run thousands of tokens per second. Thanks Ahmad M. Osman and NVIDIA Workstation for bringing it to our studio!
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Sophia Dew reposted thisSophia Dew reposted thisGot asked how I define guardrails versus governance, since most people use the terms interchangeably. Guardrails are about giving a model good character, but they don’t stop an agent from behaving probabilistically. Governance in an enterprise has to be deterministic. If an agent gets a security check wrong 1% of the time, how can you trust it 100% of the time? You can't, and that agent never reaches production. You need both. Good guardrails align the model. Good governance prevents harmful actions. Talked this through with Sophia Dew on MTS Live.
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Sophia Dew shared thisThank you Salesforce for having us as an official media partner for Dreamforce 2026! This might actually be the coolest set I've ever been on.
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Sophia Dew reacted on thisSophia Dew reacted on thismicro1 CEO Ali Ansari says synthetic data should handle the repetitive parts of expert data creation, while human experts focus on the work that actually requires their judgment and craft: "It's a bit counterintuitive because we're talking about realism, but then we also wanna use data generation models." "A lawyer's expertise that gets distilled into model training is the golden response of a legal memo. But the training signal comes from rubrics. The lawyer would also create 30 to 40 rubric items that define what a perfect legal memo looks like." "The lawyer writing these rubrics is a bit of a waste of time. They shouldn't spend their time writing these binary rubrics." "That tedious part the model can do, or soon it will be able to do, and the lawyer just focuses on building the artifact that is their craft."
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Sophia Dew reacted on thisSophia Dew reacted on thisOur host Sophia Dew went on Jubilee Media to debate Andrew Yang about what happens to human work as AI gets better. Sophia argues that rising AI productivity will increase demand for scarce human skills like taste and judgment. Yang’s counter is that those skills may become more valuable precisely because fewer people can afford to pay for them: “With Jevons paradox, as AI increases productivity, there also increases more demand. One of the biggest areas where we’re seeing a rise in demand are things that are uniquely human and that AI cannot replace.” “Things like taste, like judgment… there is more demand for that, creating more scarcity for it and creating new types of markets.” “If I’m rich and I want someone to tell me what painting I should hang in my living room, I will pay a human to do it. That’s only because the ultra winners are going to want people’s taste.”
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Sophia Dew reacted on thisSophia Dew reacted on this"That's how we should build data centers, modular, repeatable technology made in factories and deployed in the field." – CEO William Layden on MTS Live. William joined Sophia Dew to discuss our $40 million Series A and Rune's vision for the future. Construction has inverse economies of scale, so the bigger the project, the more expensive it gets. Manufacturing works the other way. Building RELIC at scale, the same way solar panels get built, is how we're rolling out 100 megawatts over the next year at sites across Texas, California, and beyond. AI infrastructure can scale without the years-long grid queue.
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