ЗА ТОЗИ ПОДКАСТ 🔗
Five tech industry veterans argue about AI that runs on your own hardware. Open weight models, NPUs, home labs, and the real question underneath it all: who controls intelligence, you or a data center?
Every week, one host takes the hot seat to defend a provocative claim while the other four try to take it apart. Then everyone votes. We run the models, test the vendor claims ourselves, and share what actually happened, including the failures.
No hype, no scripts, and nobody here is pretending to have all the answers. We're learning this stuff alongside you, one episode at a time.
New episodes weekly. There's no place like 127.0.0.1.
Every week, one host takes the hot seat to defend a provocative claim while the other four try to take it apart. Then everyone votes. We run the models, test the vendor claims ourselves, and share what actually happened, including the failures.
No hype, no scripts, and nobody here is pretending to have all the answers. We're learning this stuff alongside you, one episode at a time.
New episodes weekly. There's no place like 127.0.0.1.
Водещи:
Честота на актуализиране:
every 10 days
Средна дължина на звука:
43 minutes
Интервюта с гости
Английски
САЩ
9 епизода
от 22 Август 2026
episodic
В ТОЗИ ПОДКАСТ 🔗
ПОСЛЕДЕН ЕПИЗОД 🔗
It's the Halloween edition, which means a pirate, a horse, a lederhosen enthusiast, a mountain man and an NYPD captain spent 49 minutes having a genuinely good conversation about edge AI. Everyone showed up in costume and immediately started introducing each other as each other. It goes downhill fr…
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ПРЕДИШНИ ЕПИЗОДИ 🔗
Linus Tech Tips asked who on earth buys a $6,000 AI laptop. Frank has a machine with two graphics cards in his office that never turns off. So who's right?
Cloud AI keeps getting cheaper. AI hardware keeps getting more expensive. And somehow the workstation is back.
This week: 400 people lined up a…
Microsoft said "hybrid intelligence" on a main stage for 90 minutes. So the one host who no longer works there asks the four who do: what actually changed for a business?
Introducing FAQ Around and Find Out: Frank Asks Questions. Can a defense contractor who won't send IP to the cloud finally use A…
Ever nod along to an AI conversation and quietly have no idea what a "runtime" or a "parameter" actually is? This episode is for you.
A listener (a Microsoft MVP, no less) told us he loves the show but doesn't understand all of it. Fair. So this week we go back to the studs and build local AI from …
Five guys, five machines, and one question: what actually works?
No debate this week. No vote. We just opened up our laptops and showed each other what we're actually running, what broke, and what turned out to be worth the trouble.
Jacob figured out the whole local-plus-cloud workflow on a train f…
An escape hatch is the thing that lets you leave. You build on something that also works on somebody else's hardware, so your vendor can't lock you in.
Open weight models were supposed to be that hatch for AI. Download them, run them yourself, walk away whenever you want.
Then NVIDIA bought Hugging…
Last week we argued the $25 token was dying. This week: that's exactly when the hardware boom starts.
Frank takes the hot seat with a paradox. If intelligence keeps getting cheaper, we don't use less of it — we invent more things to do with it. More agents, more inference, more workloads. Which lea…
Last week the conversation was cost vs. control. This week the cost floor fell out. Frontier models are getting dramatically cheaper, the models you can run on your own hardware are getting dramatically better — and Robert makes the case that within 18 months the only thing frontier labs will reall…
Five tech industry veterans, one hot seat, and a vote. In our first episode: Meta gave away a new AI model and promised the big one soon, NVIDIA's CEO used his first ever post on X to defend open weights, and 270 companies signed on. One did not. So Frank takes the hot seat to argue that openness i…
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