Today, AI builders are moving past the closed-lab story — and the good stuff is happening where open tools start becoming actual products.
This is Tech Podcast Podcast, with a quick Monday run through the tech episodes worth queueing up: open-source AI, video models, enterprise infrastructure, and some very big quantum bets.
Let’s get into it.
Yep. First up: Hugging Face.
From Ksenia Se:
Opening it up means making it possible for many more people to build. Clem is specific about where this goes. He expects AI builders to grow from a few million today to tens of millions, maybe even 100 million: people who train, fine-tune, optimize, and run models themselves.
That’s the Hugging Face wager: better open models, sure — but also a much bigger crowd of people who can actually shape them. Closed AI sells you the finished car. Open AI hands you the engine, the parts, and, eventually, the garage.
Next, Runway.
From Alex Konrad:
Fast forward, and Runway works not just with many film studios and Hollywood, but creative teams and engineers at corporations like Allstate, Siemens and Robinhood. It’s had no recent trouble fundraising, reaching a $5.3 billion valuation. And it’s outlasted gen AI’s heavyweight, OpenAI, which recently shuttered its Sora app.
That last line lands: in AI video, the biggest brand did not automatically win. Runway is betting on real creative workflows — studios, companies, production teams — mattering more than a flashy demo app.
And from Scott Galloway:
Reid Hoffman joins Scott and Ed to make the bull case for AI amid rising public skepticism. They cover OpenAI’s missed targets, the frontier model landscape, the dangers of Mythos, AI’s impact on jobs and wealth inequality, why Inflection merged with Microsoft, and Reid’s framework for sensible AI regulation.
You can hear the whole AI fight packed into that one episode: massive upside, shaky timelines, and a public that’s getting tired of magic-show promises. Hoffman’s optimism matters because it has to hold up against jobs, regulation, and the question of who actually captures the wealth.
Next up, Founders in Arms:
I think that we’re looking at this too much in terms of back applying the world as it is today into the future. And the biggest thing that I think people misunderstand is that the software industry is just going to grow tremendously.
That’s the counterpunch to the “AI kills SaaS” panic. If software gets easier to make, the market may not shrink — it may blow wide open. And WorkOS is betting all those new AI-native companies still need the boring enterprise plumbing: identity, security, compliance, and access controls.
And from The Quantum Insider:
Yeah, it’s a big week for us. We just announced the fund, Deep33. We closed, we announced the first closing of a hundred million dollars and we’re going up to 150 on the second closing. And we invest to put it simply in the future of compute, which means our thesis is that now it’s the time for actually breaking the bottlenecks of compute to get to the next generation of software and applications.
That is real money behind a hard-tech thesis: quantum, AI infrastructure, and energy all circling the same bottleneck — compute. The bet is simple, and risky: the next software wave may need new physics underneath it, not just bigger data centers.
You’ll find links to every story we covered today in the show notes, so if one of these caught your ear, that’s where to dig in.
That’s Tech Podcast Podcast for today. Thanks for listening, and we’ll be back tomorrow. This is a Lantern Podcast.