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<v Speaker 0>Hello, and welcome to the Geek News Central

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<v Speaker 0>podcast sponsored by GoDaddy dot com. I'm your

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<v Speaker 0>host tonight, Ray Cochran. I've got a great

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<v Speaker 0>episode lined up for you folks. Let's get

00:00:11.360 --> 00:00:15.795
<v Speaker 0>it kicked off. Tonight's leading story, GitHub is

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<v Speaker 0>falling over and not in a small way.

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<v Speaker 0>We're gonna talk about why the world's biggest

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<v Speaker 0>code host had its worst month on record,

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<v Speaker 0>what's actually breaking it, and why this is

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<v Speaker 0>the first of many infrastructure stories that we're

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<v Speaker 0>probably gonna tell in the coming years. Also

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<v Speaker 0>on the show, WARP's terminal goes open source.

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<v Speaker 0>Apple admits it underestimated local AI demand. OpenAI

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<v Speaker 0>explains why ChatGPT got obsessed with goblins. The

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<v Speaker 0>first one x home humanoids are about to

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<v Speaker 0>ship. Tesla finally rolling a real semi off

00:00:51.954 --> 00:00:56.214
<v Speaker 0>a real production line. Chinese EVs whose headlights

00:00:56.434 --> 00:00:59.390
<v Speaker 0>project full color movies, and the final GPS

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<v Speaker 0>three satellite is finally in orbit. Let's get

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<v Speaker 0>into it. Tonight's show is brought to you

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<v Speaker 0>by our twenty year partner, GoDaddy. Exclusive deals

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<v Speaker 0>and pricing at geek news central dot com

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<v Speaker 0>forward slash GoDaddy. Well, GitHub's buckling. It's, probably

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<v Speaker 0>its worst reliability month on record. I've got

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<v Speaker 0>this from a few different sources, the GitHub

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<v Speaker 0>blog, The Register. Lots of similar stories going

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<v Speaker 0>on here, but GitHub's having its worst month

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<v Speaker 0>ever. And a few days ago, the CTO,

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<v Speaker 0>Vlad Fedorov, went up on the company blog

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<v Speaker 0>and basically said, we hear you. We're sorry,

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<v Speaker 0>and here's the plan. And, quote, here we

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<v Speaker 0>hear the pain you're experiencing. We read every

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<v Speaker 0>email, social post, support ticket, and we take

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<v Speaker 0>it all to heart. Then the lines that

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<v Speaker 0>I think that actually matter, our priorities are

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<v Speaker 0>clear, availability first, which has been their issue,

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<v Speaker 0>then capacity, then new features. And that's a

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<v Speaker 0>company telling its customers it's it knows the

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<v Speaker 0>wheels are kind of falling off on the

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<v Speaker 0>wagon. And the wheels really are coming off.

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<v Speaker 0>On April twenty third, the merge queue had

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<v Speaker 0>a regression where a squash merge silently produced

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<v Speaker 0>wrong commits. And that that might sound like

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<v Speaker 0>a complicated things for those of you not

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<v Speaker 0>involved with software development. But, basically, like, the

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<v Speaker 0>the chain the order in which the, code

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<v Speaker 0>changes were processed were incorrect. Something got changed

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<v Speaker 0>in such a way that, previously merged work

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<v Speaker 0>got reverted by later merges. So code that

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<v Speaker 0>was fixed on one day, basically got reverted

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<v Speaker 0>by a future change when it should have

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<v Speaker 0>been that future change should have basically been

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<v Speaker 0>tucked into the change list back where it

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<v Speaker 0>diverged from. That's kinda the easiest way for

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<v Speaker 0>me to put it. Just know that they

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<v Speaker 0>had issues with the main thing that drives

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<v Speaker 0>the their repository site. It wasn't, like, a

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<v Speaker 0>slow site. It was straight up corrupting your

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<v Speaker 0>code changes. So this was a pretty big

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<v Speaker 0>deal. It says a six hundred fifty eight

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<v Speaker 0>repositories were reported to be affected, and two

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<v Speaker 0>thousand ninety two pull requests. So that's quite

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<v Speaker 0>a bit. From some of the other articles

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<v Speaker 0>I was looking at, the number definitely seems

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<v Speaker 0>smaller or bigger than what GitHub's reporting. And

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<v Speaker 0>then, additionally, on the twenty seventh, their Elasticsearch

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<v Speaker 0>cluster just went boom from a botnet attack.

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<v Speaker 0>So they've just been having issues and issues

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<v Speaker 0>all month long pretty much. The search across

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<v Speaker 0>pull requests and issues just stopped showing results

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<v Speaker 0>for hours. Then on the twenty eighth, GitHub

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<v Speaker 0>actions went down, and people couldn't get pull

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<v Speaker 0>requests through. So April uptime by outside reconstructions

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<v Speaker 0>is reportedly under eighty five percent. And that's

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<v Speaker 0>actually the number everyone's talking about because GitHub's

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<v Speaker 0>own status page is kinda sidestepping the issue.

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<v Speaker 0>They don't count degraded performance windows as downtime.

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<v Speaker 0>So their public uptime numbers stay way up

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<v Speaker 0>in the ninety nine percent range, while the

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<v Speaker 0>people actually using the platform are losing hours

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<v Speaker 0>of work a day. The eighty five percent

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<v Speaker 0>figure comes from independent analysts reconstructing what the

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<v Speaker 0>status paid would look like if it were

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<v Speaker 0>honest. So I kinda wanna slow down here

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<v Speaker 0>because I don't think this is really like

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<v Speaker 0>a GitHub is bad story. I haven't personally

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<v Speaker 0>hit on any of these outages, for any

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<v Speaker 0>of my projects, but I think this has

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<v Speaker 0>a lot more to do with those being

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<v Speaker 0>private, not, a lot of branches going from

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<v Speaker 0>my own projects. You know, you generally just

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<v Speaker 0>operate on the main branch when you're working

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<v Speaker 0>on your own stuff. So I I haven't

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<v Speaker 0>personally experienced any of this, but I can

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<v Speaker 0>definitely kinda see the stress that's, you know,

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<v Speaker 0>coming out of this type of issue, seeing,

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<v Speaker 0>like, old code fix fixes that you already

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<v Speaker 0>made getting, like, reverted is just a disaster.

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<v Speaker 0>So, I'm hoping that they can somewhat pull

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<v Speaker 0>it back in. I think, this was a

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<v Speaker 0>big this was a kind of a scaling

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<v Speaker 0>issue from what I understand. So they had

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<v Speaker 0>orig GitHub had originally planned for a ten

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<v Speaker 0>x capacity increase from October twenty twenty five,

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<v Speaker 0>and now they've revised that to thirty x.

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<v Speaker 0>A thirty x scaling target inside eight months

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<v Speaker 0>is is, like, unprecedented. And I think this

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<v Speaker 0>has a lot to do with the amount

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<v Speaker 0>of AI slop that's just being up uploaded

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<v Speaker 0>to the repos, that they get stored on

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<v Speaker 0>GitHub servers. There's so much more code being

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<v Speaker 0>produced now and so much more of it

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<v Speaker 0>that's just being put up on GitHub. So

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<v Speaker 0>I can see some of their struggle with,

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<v Speaker 0>you know, their the server load and consistency

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<v Speaker 0>issues. But at the same time, some of

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<v Speaker 0>their issues, like the GitHub actions going down

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<v Speaker 0>and the merge squash issues are sound like

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<v Speaker 0>issues with using AI or employing AI to

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<v Speaker 0>handle solutions and not properly vetting or reviewing

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<v Speaker 0>the output. So you gotta wonder. But the

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<v Speaker 0>lead defector from GitHub this week is actually

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<v Speaker 0>someone we talked about last week, Mitchell Hashimoto.

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<v Speaker 0>We covered his ghosty terminal landing in Ubuntu

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<v Speaker 0>twenty six zero four. In the same week,

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<v Speaker 0>he's basically pulling off of pulling Ghosty off

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<v Speaker 0>of GitHub entirely, and he's been on GitHub

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<v Speaker 0>since two thousand eight, user twelve ninety nine.

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<v Speaker 0>The the quote that he put out with

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<v Speaker 0>this sort of, planned shift to a new

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<v Speaker 0>platform was I wanna shift software, and it

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<v Speaker 0>doesn't want me to shift software, which is

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<v Speaker 0>a pretty crazy thing to say about a

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<v Speaker 0>system that is meant to store and ship

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<v Speaker 0>your software. So that's kind of the big

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<v Speaker 0>headline right now. Everyone's been talking about these

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<v Speaker 0>GitHub issues and the consistent degradation of, you

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<v Speaker 0>know, system uptime and server availability. And then

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<v Speaker 0>kind of on the opposite side, Warp has

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<v Speaker 0>decided to go open source under AGPL. And

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<v Speaker 0>I I'm not sure if we talked about

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<v Speaker 0>Warp Terminal on the show before, but it's

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<v Speaker 0>a pretty pretty widely known, like, AI driven

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<v Speaker 0>editor tool. They've released under the AGPL license.

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<v Speaker 0>So it's real open source, and they kinda

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<v Speaker 0>did this according to the new stack of

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<v Speaker 0>to stand out amongst their competitors, so to

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<v Speaker 0>speak. They want more people involved in thinking

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<v Speaker 0>that open sourcing it is gonna get more

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<v Speaker 0>people on board with the with the editor,

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<v Speaker 0>and they kind of have shipped this idea

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<v Speaker 0>with the open sourcing of WARP that they

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<v Speaker 0>want the agents to do heavy lifting on

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<v Speaker 0>the code, planning, and testing, and human contributors

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<v Speaker 0>focus on ideas, direction, and verification. And I

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<v Speaker 0>think given, like, the changes that we've been

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<v Speaker 0>seeing with GitHub, we can only hope that

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<v Speaker 0>their service kind of recovers for this type

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<v Speaker 0>of human collaboration, so to speak. And even

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<v Speaker 0>then, I don't know if humans approving is

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<v Speaker 0>really enough by itself. I'd just been back

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<v Speaker 0>and forth on this concept of how involved

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<v Speaker 0>you should be when actually you're writing the

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<v Speaker 0>code. And it's become more and more clear

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<v Speaker 0>to me that the more hands off I

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<v Speaker 0>get with it, the less intimately I understand

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<v Speaker 0>the system and the less intimately I can

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<v Speaker 0>mentally model it. And I think that's a

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<v Speaker 0>big issue in terms of understanding how you

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<v Speaker 0>want the system to grow, you know, infrastructure

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<v Speaker 0>problems, security issues, all of that. It's pretty

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<v Speaker 0>hard to keep up with if you're not

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<v Speaker 0>even writing any of the code. And, yeah,

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<v Speaker 0>sure, you can have the model review it.

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<v Speaker 0>You can have the model suggest a refactor,

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<v Speaker 0>but there's just something lacking in terms of

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<v Speaker 0>solid foundational structure when you put together a

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<v Speaker 0>project purely through VibeCoding, as it's called. So

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<v Speaker 0>I I don't know where I'm at with

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<v Speaker 0>this still. It's a pretty tricky topic to

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<v Speaker 0>kinda navigate, especially with how great the models

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<v Speaker 0>are becoming, but at the same time, the

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<v Speaker 0>the limitations that are definitely starting to grow

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<v Speaker 0>and and be I identified clearly. So I

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<v Speaker 0>think that these two conflicting stories with one

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<v Speaker 0>terminal leaving, GitHub and another, you know, dev

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<v Speaker 0>tool warp going, open source. So it'd be

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<v Speaker 0>kinda cool if you guys are into open

00:11:12.490 --> 00:11:15.529
<v Speaker 0>source tooling, then definitely check out the the

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<v Speaker 0>new open source stack that Warp's got on

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<v Speaker 0>GitHub. Pretty sweet project to be involved with

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<v Speaker 0>if you wanna get into editor tooling or,

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<v Speaker 0>you know, agentic workflows. I think that's pretty

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<v Speaker 0>sweet. You can definitely make a fork of

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<v Speaker 0>it and create your own fun tool. You

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<v Speaker 0>know? So something to look into. But let's

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<v Speaker 0>move on. I think I got one more

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<v Speaker 0>in terms of, like, the AI tooling boom,

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<v Speaker 0>but Apple just told Wall Street that the

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<v Speaker 0>local AI demand caught them completely flat footed.

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<v Speaker 0>And I'm sure that you guys saw the

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<v Speaker 0>boom that came with the OpenClaw drama and

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<v Speaker 0>how all the Mac Minis and Mac Studios

00:12:02.675 --> 00:12:07.050
<v Speaker 0>were just getting bought up for these AI

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<v Speaker 0>driven workflows or, you know, systems, and I

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<v Speaker 0>I didn't expect this type of thing. I

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<v Speaker 0>didn't think that Mac minis and studios would

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<v Speaker 0>be the go to device for this type

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<v Speaker 0>of work, but Tim Cook basically said both

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<v Speaker 0>of these are amazing platforms for AI and

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<v Speaker 0>agentic tooling, and the customer recognition of that

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<v Speaker 0>is happening faster than what we had predicted.

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<v Speaker 0>So they just didn't expect all these people

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<v Speaker 0>to wanna run, AI workloads on their machines,

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<v Speaker 0>and I find that a little bit shocking.

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<v Speaker 0>I somewhat consider Apple devices approachable Linux systems

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<v Speaker 0>even though they're not. But at the same

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<v Speaker 0>time, they kinda are. But outside of that,

00:12:55.185 --> 00:12:59.045
<v Speaker 0>you know, Apple had done some pretty interesting

00:12:59.265 --> 00:13:02.740
<v Speaker 0>supply moves. They discontinued the five twelve gigabyte

00:13:02.800 --> 00:13:06.880
<v Speaker 0>Mac Studio upgrade option in early March. They

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<v Speaker 0>raised the two hundred fifty six gigabyte price

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<v Speaker 0>by four hundred dollars. You know, as of

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<v Speaker 0>April eleventh, the Mac mini at thirty two

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<v Speaker 0>and sixty four gigs and the Mac Studio

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<v Speaker 0>at one twenty eight and two fifty six

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<v Speaker 0>gigs all went currently unavailable on the online

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<v Speaker 0>store. And, you know, the estimated delivery times

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<v Speaker 0>for some of the upgraded models are four

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<v Speaker 0>to five months, and Tim Cook is basically

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<v Speaker 0>saying that the bottleneck is the advanced TSMC

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<v Speaker 0>nodes for the SOCs, not memory. Sorry. I'm

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<v Speaker 0>not too hardware in-depth. So if you guys

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<v Speaker 0>know what a TSMC node or the SOC

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<v Speaker 0>is, hit us with a comment. But I

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<v Speaker 0>just wonder. I don't think the original target

00:13:57.265 --> 00:14:01.390
<v Speaker 0>consumer for hardware like Mac minis was, like,

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<v Speaker 0>thought to be the, like, local AI crowd.

00:14:04.830 --> 00:14:06.990
<v Speaker 0>I had kinda considered Mac minis to be,

00:14:06.990 --> 00:14:10.750
<v Speaker 0>like, the cheap entry point into Apple's tech

00:14:10.750 --> 00:14:15.824
<v Speaker 0>stack, and this was obviously before the Apple

00:14:15.824 --> 00:14:21.764
<v Speaker 0>Neo got released, but these are fantastic machines.

00:14:21.824 --> 00:14:24.625
<v Speaker 0>They have great performance, and you don't get

00:14:24.625 --> 00:14:27.425
<v Speaker 0>a lot of compatibility sacrifices when you work

00:14:27.425 --> 00:14:31.670
<v Speaker 0>on Apple's OS. And buyers just like those

00:14:31.890 --> 00:14:33.810
<v Speaker 0>types of systems that you can just open

00:14:33.810 --> 00:14:36.070
<v Speaker 0>up and it gets working. That's why Microsoft

00:14:36.130 --> 00:14:38.390
<v Speaker 0>and Apple have been successful for so long.

00:14:39.010 --> 00:14:42.790
<v Speaker 0>You know, they have integrated stacks that work

00:14:43.095 --> 00:14:48.714
<v Speaker 0>on most systems, right, if not all. But

00:14:50.055 --> 00:14:53.675
<v Speaker 0>it's interesting to now see the the OpenClaw

00:14:53.894 --> 00:14:56.295
<v Speaker 0>wave taking over so hard and all these

00:14:56.295 --> 00:15:01.500
<v Speaker 0>people buying up all this hardware to be

00:15:01.500 --> 00:15:05.120
<v Speaker 0>able to use, you know, systems like OpenClaw

00:15:05.420 --> 00:15:08.720
<v Speaker 0>for, you know, their own daily automation and,

00:15:09.340 --> 00:15:12.800
<v Speaker 0>you know, long term memory and stored context.

00:15:13.745 --> 00:15:16.065
<v Speaker 0>And I don't know. I'm still pretty much

00:15:16.065 --> 00:15:18.305
<v Speaker 0>on the fence with the OpenClaw stuff, especially

00:15:18.305 --> 00:15:20.625
<v Speaker 0>with that scare I had talked about a

00:15:20.625 --> 00:15:25.185
<v Speaker 0>few weeks back where my own, OpenClaw install

00:15:25.185 --> 00:15:28.700
<v Speaker 0>on my little mini PC started making weird

00:15:29.000 --> 00:15:34.840
<v Speaker 0>requests. But that kind of tooling alongside, like,

00:15:34.840 --> 00:15:38.460
<v Speaker 0>the constant stream of prompt injections and leaks

00:15:38.840 --> 00:15:43.505
<v Speaker 0>and just security issues galore. I I think

00:15:43.505 --> 00:15:45.425
<v Speaker 0>I'll wait for the ecosystem to get a

00:15:45.425 --> 00:15:47.765
<v Speaker 0>little further ahead before I really lean in.

00:15:48.625 --> 00:15:51.105
<v Speaker 0>I'm not really in a rush to start

00:15:51.105 --> 00:15:53.745
<v Speaker 0>working through an open claw system, especially because

00:15:53.745 --> 00:15:58.519
<v Speaker 0>someone's gonna deliver some sort of integrated system

00:15:58.519 --> 00:16:03.320
<v Speaker 0>that works much more clearly than something like

00:16:03.320 --> 00:16:06.459
<v Speaker 0>OpenClaw does, you know, just UI bound, and

00:16:06.760 --> 00:16:10.860
<v Speaker 0>that's really easy to get working with. So

00:16:12.575 --> 00:16:16.895
<v Speaker 0>it'll be kinda interesting. I wonder how they'll

00:16:16.895 --> 00:16:19.935
<v Speaker 0>kind of adapt to this shortage or, yeah,

00:16:19.935 --> 00:16:23.715
<v Speaker 0>bottleneck in terms of their device output. But

00:16:25.730 --> 00:16:29.970
<v Speaker 0>I think pretty much all the companies are

00:16:29.970 --> 00:16:33.990
<v Speaker 0>competing for hardware right now and more silicon.

00:16:34.130 --> 00:16:39.090
<v Speaker 0>So we'll see we'll see how this kinda

00:16:39.090 --> 00:16:43.625
<v Speaker 0>pans out or whether device, ship times ever

00:16:43.625 --> 00:16:46.205
<v Speaker 0>come back to what it was, especially with

00:16:46.425 --> 00:16:51.145
<v Speaker 0>the availability of tools like Open Claw. But

00:16:51.145 --> 00:16:54.009
<v Speaker 0>let's move on. I don't know if you

00:16:54.009 --> 00:16:56.170
<v Speaker 0>guys caught on to this weird trend that

00:16:56.170 --> 00:16:57.850
<v Speaker 0>had been going around for a little bit,

00:16:57.850 --> 00:17:00.269
<v Speaker 0>but OpenAI just published one of the most

00:17:00.810 --> 00:17:04.730
<v Speaker 0>interesting explainers of how their models behave or,

00:17:04.730 --> 00:17:08.385
<v Speaker 0>like, was trained. So if you use ChatGPT

00:17:08.845 --> 00:17:11.805
<v Speaker 0>after the GPT five point one launch, you

00:17:11.805 --> 00:17:14.525
<v Speaker 0>might have noticed it kept calling things or

00:17:14.525 --> 00:17:19.505
<v Speaker 0>referring to goblins. Goblins were everywhere. Goblin metaphors.

00:17:20.340 --> 00:17:23.700
<v Speaker 0>The model the models just couldn't stop. And

00:17:23.700 --> 00:17:29.620
<v Speaker 0>OpenAI published some goblin usage numbers, and the

00:17:29.620 --> 00:17:32.835
<v Speaker 0>usage in chat tbt responses jumped roughly a

00:17:33.075 --> 00:17:36.995
<v Speaker 0>hundred seventy five percent after GPD five point

00:17:36.995 --> 00:17:41.235
<v Speaker 0>one launched. Gremlin, as a word, rose fifty

00:17:41.235 --> 00:17:45.875
<v Speaker 0>two percent. And how they kinda traced it

00:17:45.875 --> 00:17:48.620
<v Speaker 0>down and tracked it back was was really

00:17:48.620 --> 00:17:51.500
<v Speaker 0>interesting to read about, and they had kinda

00:17:51.500 --> 00:17:54.320
<v Speaker 0>tracked it back to the optional nerdy personality.

00:17:55.740 --> 00:17:58.620
<v Speaker 0>The nerdy personality was about two point five

00:17:58.620 --> 00:18:01.605
<v Speaker 0>percent of all ChatGPT responses, but it was

00:18:01.605 --> 00:18:05.365
<v Speaker 0>responsible for sixty six point seven of all

00:18:05.365 --> 00:18:08.885
<v Speaker 0>the goblin mentions. Two thirds of the bias

00:18:08.885 --> 00:18:12.485
<v Speaker 0>came from one person's one personality preset that

00:18:12.485 --> 00:18:14.585
<v Speaker 0>was less than three percent of the traffic.

00:18:16.850 --> 00:18:19.650
<v Speaker 0>Just think about that. Two thirds of the

00:18:19.650 --> 00:18:23.490
<v Speaker 0>bias came from one personality preset that was

00:18:23.490 --> 00:18:28.150
<v Speaker 0>less than three percent of traffic. The cause

00:18:28.290 --> 00:18:31.044
<v Speaker 0>in Open AI's own words is that the

00:18:31.044 --> 00:18:35.065
<v Speaker 0>reward signal during the personality training quietly favored

00:18:35.125 --> 00:18:38.804
<v Speaker 0>creature metaphors, and then through later supervised fine

00:18:38.804 --> 00:18:41.445
<v Speaker 0>tuning, that preference leaked out of the nerdy

00:18:41.445 --> 00:18:44.230
<v Speaker 0>mode into the rest of the model. And

00:18:44.230 --> 00:18:48.070
<v Speaker 0>here's a key quote. Reinforcement learning does not

00:18:48.070 --> 00:18:51.029
<v Speaker 0>guarantee that learned behavior stay neatly scoped to

00:18:51.029 --> 00:18:55.190
<v Speaker 0>the condition that produced them. And that is

00:18:55.190 --> 00:18:58.865
<v Speaker 0>a sentence that should probably be tattooed on

00:18:58.865 --> 00:19:02.304
<v Speaker 0>the inside of every AI engineer's eyelids. They

00:19:02.304 --> 00:19:04.945
<v Speaker 0>ended up retiring the nerdy personality in March

00:19:04.945 --> 00:19:07.525
<v Speaker 0>after the launch of GPT five point four,

00:19:07.745 --> 00:19:12.565
<v Speaker 0>which also removed the goblin affine reward signal,

00:19:13.110 --> 00:19:16.710
<v Speaker 0>filtered creature words out of training data. And

00:19:16.710 --> 00:19:19.510
<v Speaker 0>then when they tested GPT five point five

00:19:19.510 --> 00:19:22.950
<v Speaker 0>in codex, the goblin tick came back, and

00:19:22.950 --> 00:19:25.750
<v Speaker 0>they had to write an explicit system prompt

00:19:25.750 --> 00:19:29.155
<v Speaker 0>rule, never talk about goblins, goblins, gremlins, raccoons,

00:19:29.375 --> 00:19:34.895
<v Speaker 0>trolls, ogres, or pigeons. And I I think

00:19:34.895 --> 00:19:39.455
<v Speaker 0>this is an a a great overarching signal

00:19:39.455 --> 00:19:43.030
<v Speaker 0>into how LLMs operate, and it's sort of

00:19:43.030 --> 00:19:46.650
<v Speaker 0>the beauty and the disaster of pattern matching.

00:19:46.950 --> 00:19:49.910
<v Speaker 0>The Goblin reward is a really fantastic example

00:19:49.910 --> 00:19:52.870
<v Speaker 0>of how, you know, problematic training patterns can

00:19:52.870 --> 00:19:55.995
<v Speaker 0>emerge and how much research actually goes into

00:19:55.995 --> 00:19:59.115
<v Speaker 0>discovering and managing these types of issues when

00:19:59.115 --> 00:20:02.794
<v Speaker 0>you start to see model output. I kinda

00:20:02.794 --> 00:20:04.875
<v Speaker 0>would think that it's not as easy as,

00:20:04.875 --> 00:20:09.250
<v Speaker 0>you know, editing lines of code as it's

00:20:09.250 --> 00:20:11.170
<v Speaker 0>it's much more of a black box. You

00:20:11.170 --> 00:20:13.490
<v Speaker 0>know, the output is a result of a

00:20:13.490 --> 00:20:17.670
<v Speaker 0>pattern abstraction, not not a static function with

00:20:17.730 --> 00:20:21.775
<v Speaker 0>consistent inputs and outputs. The LLMs don't have

00:20:21.775 --> 00:20:24.195
<v Speaker 0>consistent outputs. So when you find a problem,

00:20:24.415 --> 00:20:28.995
<v Speaker 0>you can't directly fix it. You can only

00:20:29.055 --> 00:20:32.675
<v Speaker 0>somewhat patch it or retrain the models. And

00:20:32.940 --> 00:20:35.259
<v Speaker 0>the more patches that you have to do,

00:20:35.259 --> 00:20:37.019
<v Speaker 0>you know, those just start to add up.

00:20:37.019 --> 00:20:39.019
<v Speaker 0>You just think about it. They literally had

00:20:39.019 --> 00:20:41.259
<v Speaker 0>to add a prompt rule that says never

00:20:41.259 --> 00:20:45.039
<v Speaker 0>talk about goblins, gremlins, raccoons, trolls, ogres, pigeons.

00:20:45.695 --> 00:20:48.415
<v Speaker 0>And then what happens five versions from now

00:20:48.415 --> 00:20:51.775
<v Speaker 0>when there's, you know, something else that that

00:20:51.775 --> 00:20:55.795
<v Speaker 0>they consider a tick? Will that just be

00:20:56.015 --> 00:20:59.700
<v Speaker 0>prompted out as well, or will they have

00:20:59.700 --> 00:21:04.340
<v Speaker 0>to revisit the infrastructure of their training and

00:21:04.340 --> 00:21:06.900
<v Speaker 0>how they're managing their data? I wonder. I

00:21:06.900 --> 00:21:11.275
<v Speaker 0>don't know. I wonder. But I think it's

00:21:11.275 --> 00:21:13.275
<v Speaker 0>kinda interesting to see that, you know, that

00:21:13.275 --> 00:21:18.635
<v Speaker 0>nerdy personality really leak into the outputs with

00:21:18.635 --> 00:21:24.780
<v Speaker 0>those goblins and gremlins, but I think that's

00:21:24.780 --> 00:21:28.700
<v Speaker 0>cool. Yeah. Great, blog by OpenAI. Definitely check

00:21:28.700 --> 00:21:31.420
<v Speaker 0>that out. Let's talk about GoDaddy for a

00:21:31.420 --> 00:21:34.860
<v Speaker 0>second. GoDaddy has been sponsoring this show for

00:21:34.860 --> 00:21:37.179
<v Speaker 0>over twenty years. Just let that sink in

00:21:37.179 --> 00:21:40.445
<v Speaker 0>for a second. Twenty years. And this is

00:21:40.445 --> 00:21:43.025
<v Speaker 0>before most people knew what a podcast was.

00:21:43.085 --> 00:21:46.125
<v Speaker 0>GoDaddy was ready to back this show. I

00:21:46.125 --> 00:21:49.005
<v Speaker 0>use GoDaddy for my domains, my hosting, my

00:21:49.005 --> 00:21:51.970
<v Speaker 0>email, the whole stack. I've tried other platforms

00:21:51.970 --> 00:21:53.890
<v Speaker 0>over the years, and I keep coming back

00:21:53.890 --> 00:21:55.730
<v Speaker 0>because it works. And it's a the support

00:21:55.730 --> 00:21:57.970
<v Speaker 0>is there when I need it. If you

00:21:57.970 --> 00:22:00.929
<v Speaker 0>need a domain, hosting, or a website, head

00:22:00.929 --> 00:22:03.170
<v Speaker 0>to geek new central dot com forward slash

00:22:03.170 --> 00:22:06.455
<v Speaker 0>GoDaddy. You'll get exclusive pricing and every purchase

00:22:06.455 --> 00:22:09.434
<v Speaker 0>directly supports this show. That's geek new central

00:22:09.495 --> 00:22:14.475
<v Speaker 0>dot com forward slash GoDaddy. Here's, an interesting

00:22:15.174 --> 00:22:18.740
<v Speaker 0>new report from Bloomberg. A company called OneX

00:22:19.040 --> 00:22:23.280
<v Speaker 0>has just opened a US humanoid factory in,

00:22:23.280 --> 00:22:28.640
<v Speaker 0>I think, Hayward, California. So it's a fifty

00:22:28.640 --> 00:22:33.674
<v Speaker 0>eight thousand square foot humanoid robot factory. One

00:22:33.674 --> 00:22:37.355
<v Speaker 0>x is a Norway founded company, but it's

00:22:37.355 --> 00:22:40.235
<v Speaker 0>OpenAI backed, so they're getting some money from

00:22:40.235 --> 00:22:44.174
<v Speaker 0>OpenAI. But they're calling this America's first vertically

00:22:44.394 --> 00:22:51.740
<v Speaker 0>integrated humanoid robot factory. So I guess we're

00:22:51.800 --> 00:22:56.280
<v Speaker 0>starting to compete against China. We've been talking

00:22:56.280 --> 00:23:00.300
<v Speaker 0>about those walkers with Walker x twos for

00:23:01.365 --> 00:23:04.805
<v Speaker 0>months now. You know, I've covered several several

00:23:04.805 --> 00:23:08.425
<v Speaker 0>stories on, you know, China and their humanoid

00:23:08.645 --> 00:23:14.965
<v Speaker 0>robot projects, and somewhat exciting to see this

00:23:14.965 --> 00:23:17.890
<v Speaker 0>finally making it to the US. A little

00:23:17.890 --> 00:23:23.970
<v Speaker 0>bit terrifying as well, but their goal or

00:23:23.970 --> 00:23:28.450
<v Speaker 0>the capacity of this new facility is ten

00:23:28.450 --> 00:23:33.804
<v Speaker 0>thousand NEO home humanoids in year one, and

00:23:33.804 --> 00:23:36.205
<v Speaker 0>they're also building a much bigger two hundred

00:23:36.205 --> 00:23:38.684
<v Speaker 0>thirty one thousand square foot facility in San

00:23:38.684 --> 00:23:40.924
<v Speaker 0>Carlos. And their goal by the end of

00:23:40.924 --> 00:23:43.265
<v Speaker 0>twenty twenty seven is a hundred k robots.

00:23:44.570 --> 00:23:46.890
<v Speaker 0>Now their their robot, I guess, is called

00:23:46.890 --> 00:23:51.930
<v Speaker 0>Neo, is, there's two price points. So one

00:23:51.930 --> 00:23:54.590
<v Speaker 0>is straight twenty k. You can buy it,

00:23:55.050 --> 00:23:57.725
<v Speaker 0>for a one time deal, or you can

00:23:57.725 --> 00:24:00.045
<v Speaker 0>pay a four ninety nine, and I mean

00:24:00.045 --> 00:24:04.065
<v Speaker 0>four hundred and ninety nine dollars a month

00:24:04.925 --> 00:24:10.740
<v Speaker 0>to lease it. And the crazy part and

00:24:10.740 --> 00:24:12.899
<v Speaker 0>I didn't expect this at all. The first

00:24:12.899 --> 00:24:17.299
<v Speaker 0>ten thousand unit allocation has reportedly sold out

00:24:17.299 --> 00:24:20.580
<v Speaker 0>in five days when preorders opened back in

00:24:20.580 --> 00:24:26.055
<v Speaker 0>October. So each Neo runs on NVIDIA's Jetson

00:24:26.115 --> 00:24:31.315
<v Speaker 0>Thor onboard. Wow. So they they sold ten

00:24:31.315 --> 00:24:34.915
<v Speaker 0>thousand units already, and they haven't even they're

00:24:34.915 --> 00:24:37.335
<v Speaker 0>not even they haven't even started yet. Right?

00:24:38.610 --> 00:24:40.610
<v Speaker 0>I guess they just finished the factory, but

00:24:40.610 --> 00:24:42.929
<v Speaker 0>still, like, they haven't even started really building

00:24:42.929 --> 00:24:47.809
<v Speaker 0>the robots. But, you know, a few months

00:24:47.809 --> 00:24:51.170
<v Speaker 0>back, we talked about how the advent of

00:24:51.170 --> 00:24:54.470
<v Speaker 0>smart homes is probably coming back, and I

00:24:54.664 --> 00:24:57.965
<v Speaker 0>feel like this device might be one of

00:24:58.424 --> 00:25:01.544
<v Speaker 0>the main gadgets featured in a smart home

00:25:01.544 --> 00:25:05.865
<v Speaker 0>system. You know? It would be something like

00:25:05.865 --> 00:25:07.945
<v Speaker 0>the manager, and I think that'd be kinda

00:25:07.945 --> 00:25:11.669
<v Speaker 0>cool to see I don't know. Maybe just

00:25:11.669 --> 00:25:12.870
<v Speaker 0>to see. I'm not sure if I would

00:25:12.870 --> 00:25:15.429
<v Speaker 0>wanna live that or experience it. I don't

00:25:15.429 --> 00:25:19.049
<v Speaker 0>think I'd really want this type of robot,

00:25:19.110 --> 00:25:21.110
<v Speaker 0>nor would I be willing to pay either

00:25:21.110 --> 00:25:24.655
<v Speaker 0>twenty k or five hundred a month. I'm

00:25:24.655 --> 00:25:27.935
<v Speaker 0>not sure what kind of problem this really

00:25:27.935 --> 00:25:31.295
<v Speaker 0>solves for the everyday person. I do think

00:25:31.295 --> 00:25:36.675
<v Speaker 0>it's cool, but I I just don't know

00:25:38.010 --> 00:25:40.830
<v Speaker 0>how truly effective something like this will be.

00:25:41.130 --> 00:25:44.730
<v Speaker 0>And, you know, you gotta wonder because, you

00:25:44.730 --> 00:25:48.190
<v Speaker 0>know, things like or devices like the iPhone

00:25:48.330 --> 00:25:52.875
<v Speaker 0>really revolutionized, you know, the foam. I don't

00:25:52.875 --> 00:25:57.755
<v Speaker 0>see this robot revolutionizing the home or home

00:25:57.755 --> 00:26:02.715
<v Speaker 0>dynamics. You know? In fact, I there's probably

00:26:02.715 --> 00:26:08.520
<v Speaker 0>an argument that that this type of, you

00:26:08.520 --> 00:26:11.660
<v Speaker 0>know, dependency or change might be actually worse

00:26:12.200 --> 00:26:15.020
<v Speaker 0>for homes. And now I could definitely see

00:26:15.080 --> 00:26:18.220
<v Speaker 0>a place for, you know, elderly or disabled

00:26:18.280 --> 00:26:22.245
<v Speaker 0>individuals to find real help with a device

00:26:22.245 --> 00:26:27.044
<v Speaker 0>like this. But I don't know. With with

00:26:27.044 --> 00:26:30.325
<v Speaker 0>how much people have kinda gone crazy over

00:26:30.325 --> 00:26:34.005
<v Speaker 0>the LLM movement and, you know, people even

00:26:34.005 --> 00:26:36.840
<v Speaker 0>going as far as you know, falling in

00:26:36.840 --> 00:26:40.680
<v Speaker 0>love with, you know, the LLMs for one,

00:26:40.680 --> 00:26:43.720
<v Speaker 0>and two, getting into this idea that you

00:26:43.720 --> 00:26:49.615
<v Speaker 0>can, quote, unquote, awaken the LLM and have

00:26:49.615 --> 00:26:53.414
<v Speaker 0>it, you know, be on your side, quote,

00:26:53.414 --> 00:26:57.495
<v Speaker 0>unquote. It it it is mildly terrifying to

00:26:57.495 --> 00:26:59.995
<v Speaker 0>see people really lean into it that hard.

00:27:01.815 --> 00:27:07.600
<v Speaker 0>I find it terrifying. But I don't think

00:27:07.600 --> 00:27:11.200
<v Speaker 0>I'd let this one x robot drive my

00:27:11.200 --> 00:27:14.320
<v Speaker 0>car, but Tesla just rolled out the first

00:27:14.320 --> 00:27:17.380
<v Speaker 0>real semi truck off a real production line.

00:27:17.995 --> 00:27:20.154
<v Speaker 0>And this is something they've been talking about,

00:27:20.154 --> 00:27:22.895
<v Speaker 0>I guess, announced way back since twenty seventeen.

00:27:26.154 --> 00:27:29.195
<v Speaker 0>And only now, nine years later, we're starting

00:27:29.195 --> 00:27:32.235
<v Speaker 0>to see some real delivery. And before I

00:27:32.235 --> 00:27:34.700
<v Speaker 0>really get into the story, you know, I

00:27:34.700 --> 00:27:36.780
<v Speaker 0>wanted to start this one with something I

00:27:36.780 --> 00:27:39.760
<v Speaker 0>saw recently. And, I was driving to work

00:27:39.820 --> 00:27:45.915
<v Speaker 0>this, past, what, Sunday, and I was there

00:27:45.915 --> 00:27:48.315
<v Speaker 0>were traffic was horrible. Two of the three

00:27:48.315 --> 00:27:51.355
<v Speaker 0>lanes were closed. We were hardly moving. You

00:27:51.355 --> 00:27:53.695
<v Speaker 0>know, a ten minute trip had turned into

00:27:53.995 --> 00:27:59.840
<v Speaker 0>an hour. So I'd say nobody sitting there

00:27:59.840 --> 00:28:03.440
<v Speaker 0>was happy, but I'm sure that everyone was

00:28:03.440 --> 00:28:06.000
<v Speaker 0>happy to not be the guy that was

00:28:06.000 --> 00:28:08.799
<v Speaker 0>driving the semi truck because the semi truck

00:28:08.799 --> 00:28:11.895
<v Speaker 0>that had been stopped, the entire cabin had

00:28:11.895 --> 00:28:17.575
<v Speaker 0>been removed from the vehicle. They had the

00:28:17.575 --> 00:28:21.095
<v Speaker 0>entire cabin had been removed, and just the

00:28:21.095 --> 00:28:23.655
<v Speaker 0>front engine was sitting there on wheels. And

00:28:23.655 --> 00:28:26.020
<v Speaker 0>I I was I was baffled. I'd never

00:28:26.020 --> 00:28:27.940
<v Speaker 0>seen something like that. I'm not sure if

00:28:27.940 --> 00:28:30.260
<v Speaker 0>this is common or, you know, those just

00:28:30.260 --> 00:28:34.420
<v Speaker 0>come off, but it seemed like a pretty

00:28:34.420 --> 00:28:36.820
<v Speaker 0>serious situation when they were taking that off

00:28:36.820 --> 00:28:38.580
<v Speaker 0>in the middle of the freeway and trying

00:28:38.580 --> 00:28:43.235
<v Speaker 0>to tow the tow the semi away. So

00:28:44.495 --> 00:28:51.054
<v Speaker 0>that that was crazy. But I think kind

00:28:51.054 --> 00:28:52.654
<v Speaker 0>of what I'm getting at with this is,

00:28:52.654 --> 00:28:55.919
<v Speaker 0>you know, these are massive machines. They they're

00:28:55.919 --> 00:29:00.320
<v Speaker 0>huge. And when they fail, they fail in

00:29:00.320 --> 00:29:04.559
<v Speaker 0>ways that are completely different or there are

00:29:04.559 --> 00:29:07.760
<v Speaker 0>completely different failure modes than what you see

00:29:07.760 --> 00:29:13.115
<v Speaker 0>with regular cars. And to kinda see Tesla

00:29:13.115 --> 00:29:15.675
<v Speaker 0>rolling its first semi off of its, you

00:29:15.675 --> 00:29:21.515
<v Speaker 0>know, factory, you you gotta wonder how this

00:29:21.515 --> 00:29:24.730
<v Speaker 0>is gonna work. You know? We Tesla already

00:29:24.730 --> 00:29:27.130
<v Speaker 0>has a reputation for being, you know, self

00:29:27.130 --> 00:29:31.210
<v Speaker 0>driving vehicle, one of the, you know, the

00:29:31.210 --> 00:29:33.770
<v Speaker 0>better options in terms of electrical cars in

00:29:33.770 --> 00:29:39.684
<v Speaker 0>the United States. So just interesting to kinda

00:29:39.684 --> 00:29:41.924
<v Speaker 0>see their market share continue to grow. You

00:29:41.924 --> 00:29:45.225
<v Speaker 0>know? SpaceX is also up there in terms

00:29:47.125 --> 00:29:50.184
<v Speaker 0>of the amount of, you know, NASA contracts

00:29:50.245 --> 00:29:52.410
<v Speaker 0>that they get to pick up. I believe

00:29:52.410 --> 00:29:54.650
<v Speaker 0>that they do still get the majority of

00:29:54.650 --> 00:29:59.290
<v Speaker 0>it right now. But I think the factory

00:29:59.290 --> 00:30:02.730
<v Speaker 0>is targeting to hit about fifty thousand trucks

00:30:02.730 --> 00:30:05.870
<v Speaker 0>a year, and they're saying the long range

00:30:06.405 --> 00:30:09.785
<v Speaker 0>version, starting at two hundred ninety thousand dollars,

00:30:10.165 --> 00:30:14.405
<v Speaker 0>three twenty five mile three hundred twenty five

00:30:14.405 --> 00:30:19.125
<v Speaker 0>miles? Okay. No. No. No. No. So the

00:30:19.125 --> 00:30:21.760
<v Speaker 0>long range is five hundred miles, and then

00:30:21.760 --> 00:30:24.000
<v Speaker 0>the standard range is three hundred twenty five

00:30:24.000 --> 00:30:26.640
<v Speaker 0>miles at two hundred sixty thousand. So that

00:30:26.640 --> 00:30:31.460
<v Speaker 0>extra thirty k gets you that extra, what,

00:30:31.600 --> 00:30:36.395
<v Speaker 0>one seventy five miles. And not only that,

00:30:36.395 --> 00:30:38.235
<v Speaker 0>the Long Range gets the one point two

00:30:38.235 --> 00:30:42.395
<v Speaker 0>megawatt mega charger that restores sixty percent of

00:30:42.395 --> 00:30:47.055
<v Speaker 0>range in about thirty minutes. The standard range

00:30:47.460 --> 00:30:51.539
<v Speaker 0>version is MCS compatible, but doesn't hit that

00:30:51.539 --> 00:30:54.260
<v Speaker 0>same peak of sixty percent range in thirty

00:30:54.260 --> 00:30:59.620
<v Speaker 0>minutes. Yeah. So I think fifty thousand is

00:30:59.620 --> 00:31:02.020
<v Speaker 0>a pretty big number of trucks to attempt

00:31:02.020 --> 00:31:06.615
<v Speaker 0>to deliver. Reportedly, analysts think five to fifteen

00:31:06.674 --> 00:31:09.654
<v Speaker 0>thousand delivered trucks is a lot more realistic

00:31:09.794 --> 00:31:13.235
<v Speaker 0>in twenty twenty six. And I don't know.

00:31:13.235 --> 00:31:14.914
<v Speaker 0>I'm just I'm not really sure how to

00:31:14.914 --> 00:31:18.570
<v Speaker 0>respond to this type of release, so to

00:31:18.570 --> 00:31:22.410
<v Speaker 0>speak. I think electric semi truck is cool,

00:31:22.410 --> 00:31:26.430
<v Speaker 0>I guess, but I'm curious what the actual

00:31:26.650 --> 00:31:30.545
<v Speaker 0>benefits over a classic semi is. From my

00:31:30.545 --> 00:31:34.385
<v Speaker 0>understanding, you know, the electric car argument is

00:31:34.385 --> 00:31:38.485
<v Speaker 0>not as straightforward or simple as electric vehicles

00:31:38.545 --> 00:31:42.245
<v Speaker 0>use less fuel. You know, the electricity itself

00:31:42.705 --> 00:31:46.190
<v Speaker 0>is often derived from coal or natural gases,

00:31:46.570 --> 00:31:49.370
<v Speaker 0>and the batteries contain rare earth minerals that

00:31:49.370 --> 00:31:51.290
<v Speaker 0>get mined in places with, you know, some

00:31:51.290 --> 00:31:56.115
<v Speaker 0>serious ethical concerns behind the workers. So I

00:31:56.115 --> 00:31:57.875
<v Speaker 0>don't know if this is actually a net

00:31:57.875 --> 00:32:01.315
<v Speaker 0>win for the planet, but good good for

00:32:01.315 --> 00:32:03.715
<v Speaker 0>Tesla, I guess, in terms of, you know,

00:32:03.715 --> 00:32:09.410
<v Speaker 0>another new product released. I I do find

00:32:09.410 --> 00:32:13.730
<v Speaker 0>it shocking that their two different models are

00:32:13.730 --> 00:32:17.410
<v Speaker 0>so significantly different for only thirty thousand dollar

00:32:17.410 --> 00:32:19.250
<v Speaker 0>difference. I don't I don't see why you

00:32:19.250 --> 00:32:23.715
<v Speaker 0>would buy the standard range, especially being that

00:32:23.715 --> 00:32:26.275
<v Speaker 0>it doesn't come with the megawatt megacharger, one

00:32:26.275 --> 00:32:29.875
<v Speaker 0>point two megawatt megacharger. You know? That that

00:32:29.875 --> 00:32:33.635
<v Speaker 0>doesn't seem to make sense, especially if, you

00:32:33.635 --> 00:32:37.155
<v Speaker 0>know, it's only thirty k. So I I

00:32:37.155 --> 00:32:42.059
<v Speaker 0>don't know. But definitely pretty cool, release. So,

00:32:42.059 --> 00:32:44.399
<v Speaker 0>again, they kinda unveiled it in twenty seventeen.

00:32:44.860 --> 00:32:47.980
<v Speaker 0>They had promised, the first semi in twenty

00:32:47.980 --> 00:32:51.100
<v Speaker 0>nineteen, then twenty twenty, then twenty one, then

00:32:51.100 --> 00:32:55.425
<v Speaker 0>twenty two. And finally, I think PepsiCo got

00:32:55.425 --> 00:32:58.065
<v Speaker 0>some in late twenty twenty two, but now

00:32:58.065 --> 00:33:01.905
<v Speaker 0>this is the real production line, today, nine

00:33:01.905 --> 00:33:05.549
<v Speaker 0>years after the reveal. So we'll see how

00:33:05.549 --> 00:33:07.150
<v Speaker 0>it goes. I wonder if we'll start seeing

00:33:07.150 --> 00:33:12.669
<v Speaker 0>some Tesla Tesla semi trucks around. That's, probably

00:33:12.669 --> 00:33:16.029
<v Speaker 0>a great win for them. Now this next

00:33:16.029 --> 00:33:18.835
<v Speaker 0>one, this one's cool. It's from the Chinese

00:33:18.835 --> 00:33:22.355
<v Speaker 0>EV market, and, you know, this also kinda

00:33:22.355 --> 00:33:24.434
<v Speaker 0>goes back to my, I don't know where

00:33:24.434 --> 00:33:26.035
<v Speaker 0>this is going or I don't know if

00:33:26.035 --> 00:33:28.775
<v Speaker 0>this, you know, is actually beneficial or provides

00:33:28.835 --> 00:33:32.295
<v Speaker 0>any real, you know, advancement to humankind, but

00:33:32.480 --> 00:33:38.180
<v Speaker 0>it's cool. So just to preface, we have,

00:33:38.240 --> 00:33:41.780
<v Speaker 0>I guess, headlight laws here that really regulate,

00:33:43.120 --> 00:33:45.200
<v Speaker 0>you know, how far or how bright our

00:33:45.200 --> 00:33:50.935
<v Speaker 0>headlights can be, and our regulations haven't really

00:33:50.935 --> 00:33:52.615
<v Speaker 0>caught up to work with some of the

00:33:52.615 --> 00:33:57.755
<v Speaker 0>newer technology. But Huawei's x pixel headlight system,

00:33:58.055 --> 00:34:01.350
<v Speaker 0>which was deployed across a few different cars,

00:34:01.350 --> 00:34:04.230
<v Speaker 0>can project full color movies up to about

00:34:04.230 --> 00:34:06.470
<v Speaker 0>a hundred inch image in front of a

00:34:06.470 --> 00:34:10.230
<v Speaker 0>car. And this is on top of all

00:34:10.230 --> 00:34:13.905
<v Speaker 0>the safety stuff. So adaptive driving beam, lane

00:34:13.905 --> 00:34:19.825
<v Speaker 0>changing path projection, pedestrian crossing, direction signaling. Wow.

00:34:19.825 --> 00:34:23.825
<v Speaker 0>What? This so Xpixels been around about three

00:34:23.825 --> 00:34:25.985
<v Speaker 0>years, and the new step is the full

00:34:25.985 --> 00:34:29.600
<v Speaker 0>color version that just debuted on the Aito

00:34:29.660 --> 00:34:32.860
<v Speaker 0>m nine. I think it's just cool. You

00:34:32.860 --> 00:34:36.960
<v Speaker 0>know, we we use our cars for practically

00:34:37.020 --> 00:34:39.020
<v Speaker 0>everything. It's our second home for those of

00:34:39.020 --> 00:34:42.444
<v Speaker 0>us that have one, and I think it's

00:34:42.444 --> 00:34:44.444
<v Speaker 0>cool to kinda see your car becoming something

00:34:44.444 --> 00:34:46.525
<v Speaker 0>like a Swiss army knife of, you know,

00:34:46.525 --> 00:34:49.885
<v Speaker 0>personal devices that everyone just loves. You can

00:34:49.885 --> 00:34:51.565
<v Speaker 0>sleep in it, travel in it, eat in

00:34:51.565 --> 00:34:53.645
<v Speaker 0>it, listen to music, and now you can

00:34:53.645 --> 00:34:55.325
<v Speaker 0>park in front of a wall and watch

00:34:55.325 --> 00:34:58.180
<v Speaker 0>a movie projector from your headlights. It's just

00:34:58.180 --> 00:35:02.920
<v Speaker 0>awesome. You know? And the underlying pixel addressable

00:35:03.060 --> 00:35:05.860
<v Speaker 0>headlight platform is the actual safety upgrade hiding

00:35:05.860 --> 00:35:09.380
<v Speaker 0>inside the gimmick. The same hardware that projects

00:35:09.380 --> 00:35:12.820
<v Speaker 0>movies is the same hardware that adaptively dims

00:35:12.820 --> 00:35:16.365
<v Speaker 0>for oncoming traffic and lights a pedestrian safe

00:35:16.365 --> 00:35:21.645
<v Speaker 0>path across the street. That's just cool. So

00:35:21.645 --> 00:35:26.625
<v Speaker 0>in the US, we've only approved adaptive driving

00:35:26.685 --> 00:35:32.110
<v Speaker 0>beam in February twenty twenty two. So okay.

00:35:32.110 --> 00:35:35.550
<v Speaker 0>But the pixel addressable projection systems aren't covered

00:35:35.550 --> 00:35:38.830
<v Speaker 0>by our current regulations. So even if they

00:35:38.830 --> 00:35:42.190
<v Speaker 0>Aydoc sold cars in the US, the headlights

00:35:42.190 --> 00:35:44.110
<v Speaker 0>would have to be downgraded to be street

00:35:44.110 --> 00:35:50.895
<v Speaker 0>legal. So, if you do plan on getting

00:35:50.895 --> 00:35:53.295
<v Speaker 0>this car, don't don't import it to the

00:35:53.295 --> 00:35:58.050
<v Speaker 0>US if you even can. But, you know,

00:35:58.050 --> 00:36:00.950
<v Speaker 0>I think we've seen a lot of groundbreaking

00:36:01.090 --> 00:36:05.250
<v Speaker 0>technology coming out of China this year, and

00:36:05.250 --> 00:36:07.890
<v Speaker 0>they're definitely setting a strong example of, you

00:36:07.890 --> 00:36:12.055
<v Speaker 0>know, forward movement for tech stacks. I think

00:36:12.055 --> 00:36:17.335
<v Speaker 0>that's cool. This is a really interesting story

00:36:17.335 --> 00:36:19.495
<v Speaker 0>that, you know, I thought a lot of

00:36:19.495 --> 00:36:26.359
<v Speaker 0>people probably wouldn't actually consciously notice. So SpaceX

00:36:26.500 --> 00:36:29.880
<v Speaker 0>just launched GPS three s v dash ten,

00:36:30.099 --> 00:36:33.220
<v Speaker 0>the tenth and final GPS three satellite on

00:36:33.220 --> 00:36:36.420
<v Speaker 0>a Falcon nine from Cape Canaveral on April

00:36:36.420 --> 00:36:40.835
<v Speaker 0>twenty first. So GPS three gives you signals

00:36:40.975 --> 00:36:44.895
<v Speaker 0>three times more accurate and eight times more

00:36:44.895 --> 00:36:49.375
<v Speaker 0>resistant to jamming than the previous constellation. The

00:36:49.375 --> 00:36:52.035
<v Speaker 0>l one c signal that interoperates with Galileo,

00:36:52.660 --> 00:36:57.400
<v Speaker 0>BeiDou, IRNSS, and QZSS, and m code military

00:36:57.540 --> 00:37:02.500
<v Speaker 0>encryption. So this just got silently delivered on

00:37:02.500 --> 00:37:05.540
<v Speaker 0>the twenty first. It's probably already working on

00:37:05.540 --> 00:37:08.175
<v Speaker 0>your phone. So if you noticed that your

00:37:08.175 --> 00:37:11.795
<v Speaker 0>GPS has had a significant improvement in performance,

00:37:12.095 --> 00:37:17.955
<v Speaker 0>that's probably why. But launches for the next

00:37:18.335 --> 00:37:22.720
<v Speaker 0>version, GPS I I I f. So, now

00:37:22.720 --> 00:37:25.380
<v Speaker 0>I'm wondering if it's GPS I I I,

00:37:25.760 --> 00:37:28.980
<v Speaker 0>but that looks like three. Okay. Well, GPS

00:37:29.039 --> 00:37:32.079
<v Speaker 0>I I I f, is slated to start

00:37:32.079 --> 00:37:34.805
<v Speaker 0>launching in twenty twenty seven, and up to

00:37:34.805 --> 00:37:37.204
<v Speaker 0>twenty two satellites are going up through about

00:37:37.204 --> 00:37:41.924
<v Speaker 0>twenty thirty seven. And the IIIF system adds

00:37:41.924 --> 00:37:46.805
<v Speaker 0>laser inter satellite links and optical reflectors for

00:37:46.805 --> 00:37:52.820
<v Speaker 0>centimeter level satellite tracking. Wow. And like I

00:37:52.820 --> 00:37:54.820
<v Speaker 0>said, this is a pretty quiet upgrade that

00:37:54.820 --> 00:37:56.340
<v Speaker 0>not a lot of people are gonna directly

00:37:56.340 --> 00:37:58.420
<v Speaker 0>notice, and I think that's why it's so

00:37:58.420 --> 00:38:02.500
<v Speaker 0>amazing. I love these, you know, systems that

00:38:02.500 --> 00:38:06.345
<v Speaker 0>drive our society and, you know, drive everyday

00:38:06.485 --> 00:38:09.525
<v Speaker 0>activities without people actually realizing it. You know?

00:38:09.525 --> 00:38:11.125
<v Speaker 0>A lot of us have come to really

00:38:11.125 --> 00:38:16.025
<v Speaker 0>mod or rely on modern GPS systems, and

00:38:18.300 --> 00:38:19.980
<v Speaker 0>I I don't know what kind of chaos

00:38:19.980 --> 00:38:23.260
<v Speaker 0>would ensue if GPS went even down for

00:38:23.260 --> 00:38:25.580
<v Speaker 0>a day. You know? I think people will

00:38:25.580 --> 00:38:29.020
<v Speaker 0>forget how to drive. So I think that's

00:38:29.020 --> 00:38:33.465
<v Speaker 0>really cool. Definitely look more into some of

00:38:33.465 --> 00:38:38.505
<v Speaker 0>the new modernizations that they've provided with, this

00:38:38.505 --> 00:38:43.640
<v Speaker 0>new GPS three satellite. So but, yeah, what

00:38:43.640 --> 00:38:44.920
<v Speaker 0>do you guys think? I I feel like

00:38:44.920 --> 00:38:47.580
<v Speaker 0>it's genuinely cool to kinda see these silent

00:38:47.640 --> 00:38:51.000
<v Speaker 0>projects that influence, you know, basically, like, global

00:38:51.000 --> 00:38:55.525
<v Speaker 0>economics and world infrastructure and being, like, one

00:38:55.525 --> 00:38:59.125
<v Speaker 0>of the mostly or most widely dependent on

00:38:59.125 --> 00:39:02.485
<v Speaker 0>technologies in the world. We don't really talk

00:39:02.485 --> 00:39:04.405
<v Speaker 0>about GPS that much. It's not it's not

00:39:04.405 --> 00:39:06.165
<v Speaker 0>really, you know, put on a pedestal. It's

00:39:06.165 --> 00:39:10.860
<v Speaker 0>just a given. So I think that's cool.

00:39:11.720 --> 00:39:15.260
<v Speaker 0>We'll start to see more and more data

00:39:15.400 --> 00:39:17.480
<v Speaker 0>coming back, I feel like, from, you know,

00:39:17.480 --> 00:39:22.040
<v Speaker 0>GPS tracking. And to have centimeter level, you

00:39:22.040 --> 00:39:27.335
<v Speaker 0>know, precision is, in my opinion, insane. You

00:39:27.335 --> 00:39:30.075
<v Speaker 0>know? We'll definitely start to see more of

00:39:31.335 --> 00:39:34.935
<v Speaker 0>interesting statistics or, like, you know, average steps

00:39:34.935 --> 00:39:37.735
<v Speaker 0>taken in a lifetime, average distance traveled in

00:39:37.735 --> 00:39:41.140
<v Speaker 0>a lifetime, average time spent in specific locations.

00:39:41.279 --> 00:39:44.480
<v Speaker 0>You know? And you gotta wonder, that data

00:39:44.480 --> 00:39:47.119
<v Speaker 0>is just not sitting there. It's definitely being

00:39:47.119 --> 00:39:53.535
<v Speaker 0>used elsewhere for, you know, who knows what,

00:39:53.535 --> 00:39:58.655
<v Speaker 0>data training, you know, new models. So the

00:39:58.655 --> 00:40:00.515
<v Speaker 0>good and the bad, I guess, with that.

00:40:02.655 --> 00:40:07.230
<v Speaker 0>Here's a really cool research, I guess, security

00:40:07.230 --> 00:40:10.590
<v Speaker 0>slash research story. A researcher just won a

00:40:10.590 --> 00:40:14.510
<v Speaker 0>Bitcoin for a quantum attack on crypto. So

00:40:14.510 --> 00:40:22.305
<v Speaker 0>independent Italian researcher, Giancarlo Lelyuan, Project Eleven's one

00:40:22.305 --> 00:40:25.525
<v Speaker 0>Bitcoin q day prize on April twenty fourth

00:40:25.825 --> 00:40:29.665
<v Speaker 0>by deriving a fifteen bit elliptic curve private

00:40:29.665 --> 00:40:33.420
<v Speaker 0>key from its public key. So they apparently

00:40:33.560 --> 00:40:35.640
<v Speaker 0>achieved this by using a variant of Shor's

00:40:35.640 --> 00:40:40.220
<v Speaker 0>algorithm on publicly accessible rented cloud quantum hardware.

00:40:40.600 --> 00:40:47.725
<v Speaker 0>Wow. Wow. So the search space he covered

00:40:47.725 --> 00:40:50.365
<v Speaker 0>was thirty two thousand seven hundred sixty seven

00:40:50.365 --> 00:40:55.025
<v Speaker 0>possibilities. That's two to the fifteenth minus one.

00:40:55.805 --> 00:40:58.285
<v Speaker 0>And the previous record was six bits set

00:40:58.285 --> 00:41:01.580
<v Speaker 0>in September twenty five on an IBM one

00:41:01.580 --> 00:41:04.220
<v Speaker 0>thirty three qubit machine. So this extends the

00:41:04.220 --> 00:41:07.900
<v Speaker 0>record by a factor of five hundred and

00:41:07.900 --> 00:41:13.580
<v Speaker 0>twelve times. Now don't get scared or start

00:41:13.580 --> 00:41:17.795
<v Speaker 0>selling your Bitcoin because, that is fifteen bit

00:41:17.795 --> 00:41:20.994
<v Speaker 0>elliptic curve, and Bitcoin uses two hundred fifty

00:41:20.994 --> 00:41:25.734
<v Speaker 0>six elliptic curve cryptography. So they're not anywhere

00:41:25.795 --> 00:41:29.895
<v Speaker 0>near breaking real Bitcoin yet. But I think

00:41:30.140 --> 00:41:32.460
<v Speaker 0>it's kind of interesting to see the gap

00:41:32.460 --> 00:41:35.260
<v Speaker 0>that project eleven is kinda, like, characterizing or

00:41:35.260 --> 00:41:40.620
<v Speaker 0>highlighting here as a fundamental well, they're saying

00:41:40.620 --> 00:41:44.205
<v Speaker 0>it's increasingly an engineering problem rather than a

00:41:44.445 --> 00:41:48.045
<v Speaker 0>fundamental physics problem, which I'm not completely sure

00:41:48.045 --> 00:41:52.845
<v Speaker 0>what they mean by that. But, apparently, this

00:41:52.845 --> 00:41:54.785
<v Speaker 0>type of framing is what makes the milestone

00:41:54.925 --> 00:41:58.625
<v Speaker 0>notable. It's that it an independent researcher was

00:41:59.150 --> 00:42:02.770
<v Speaker 0>working on basically cloud accessible hardware, you know,

00:42:02.830 --> 00:42:05.630
<v Speaker 0>no national lab, no private chips, nothing. This

00:42:05.630 --> 00:42:09.250
<v Speaker 0>is just, you know, publicly available tools, and

00:42:11.265 --> 00:42:13.984
<v Speaker 0>researchers have definitely had some pushback on this.

00:42:13.984 --> 00:42:17.505
<v Speaker 0>You know, their criticism says that, you know,

00:42:17.505 --> 00:42:20.385
<v Speaker 0>a regular laptop can brute force a fifteen

00:42:20.385 --> 00:42:24.640
<v Speaker 0>bit bits search space in milliseconds. When you

00:42:24.640 --> 00:42:26.480
<v Speaker 0>run a quantum machine on a problem that

00:42:26.480 --> 00:42:30.020
<v Speaker 0>small, you can't actually tell whether Shor's algorithm

00:42:30.240 --> 00:42:32.800
<v Speaker 0>did anything quantum or whether the result is

00:42:32.800 --> 00:42:35.120
<v Speaker 0>what you'd get from random noise that happened

00:42:35.120 --> 00:42:41.165
<v Speaker 0>to land on the right answer. So this

00:42:41.165 --> 00:42:43.805
<v Speaker 0>pushback is basically saying that without showing measurable

00:42:43.805 --> 00:42:47.165
<v Speaker 0>quantum advantage, speed, or behavior that classical hardware

00:42:47.165 --> 00:42:49.965
<v Speaker 0>couldn't replicate, you don't really have a quantum

00:42:49.965 --> 00:42:52.365
<v Speaker 0>attack. You have a quantum machine that returned

00:42:52.365 --> 00:42:55.890
<v Speaker 0>the right number, and there's a huge difference

00:42:56.030 --> 00:43:00.190
<v Speaker 0>between those two things conceptually. You know? And

00:43:00.190 --> 00:43:02.610
<v Speaker 0>then project eleven kinda came back with the

00:43:02.750 --> 00:43:04.990
<v Speaker 0>defense that the point isn't to break real

00:43:04.990 --> 00:43:07.790
<v Speaker 0>keys at this scale. It's to demonstrate that

00:43:08.225 --> 00:43:10.705
<v Speaker 0>demonstrate Shor's running end to end on real

00:43:10.705 --> 00:43:14.785
<v Speaker 0>quantum hardware, you know, as a stepping stone

00:43:14.785 --> 00:43:18.145
<v Speaker 0>for the ecosystem itself. So they're just really

00:43:18.145 --> 00:43:20.545
<v Speaker 0>treating this as something cool or interesting that

00:43:20.545 --> 00:43:25.670
<v Speaker 0>happened, And I think that they're less focused

00:43:25.670 --> 00:43:29.450
<v Speaker 0>on the idea that, you know, that a

00:43:29.670 --> 00:43:31.510
<v Speaker 0>laptop could brute force it or that it

00:43:31.510 --> 00:43:34.950
<v Speaker 0>may have accidentally or randomly gotten the right

00:43:34.950 --> 00:43:41.175
<v Speaker 0>answer. They're more interested in, you know, this

00:43:41.175 --> 00:43:43.415
<v Speaker 0>as a case study in itself. So I

00:43:43.415 --> 00:43:45.355
<v Speaker 0>think that's a really good stance to have,

00:43:45.575 --> 00:43:47.895
<v Speaker 0>and I'm sure we're gonna see more and

00:43:47.895 --> 00:43:51.880
<v Speaker 0>more, quantum research and availability come around in

00:43:51.880 --> 00:43:54.840
<v Speaker 0>the next five to ten years. Definitely one

00:43:54.840 --> 00:43:57.880
<v Speaker 0>of the fields that I was not expecting

00:43:57.880 --> 00:43:59.900
<v Speaker 0>to grow as fast as it did, but

00:44:00.920 --> 00:44:03.645
<v Speaker 0>I think it's cool. I've been seeing those,

00:44:03.965 --> 00:44:08.685
<v Speaker 0>quantum encryption warnings on, you know, my Git

00:44:08.685 --> 00:44:14.205
<v Speaker 0>keys for a while now, and I definitely

00:44:14.205 --> 00:44:16.299
<v Speaker 0>am looking forward to the day where those

00:44:16.299 --> 00:44:18.299
<v Speaker 0>are no longer a thing, and I just

00:44:18.299 --> 00:44:21.420
<v Speaker 0>have quantum and encrypted keys. I guess that's

00:44:21.420 --> 00:44:25.740
<v Speaker 0>what they would be. Right? But let's move

00:44:25.740 --> 00:44:29.020
<v Speaker 0>on. So kind of a interesting one from

00:44:29.020 --> 00:44:33.065
<v Speaker 0>Google blog, Gemini now generates real files. And

00:44:33.065 --> 00:44:36.205
<v Speaker 0>I know this is kinda sounds lame, but,

00:44:37.145 --> 00:44:39.385
<v Speaker 0>you know, I think it's kinda cool. It

00:44:39.465 --> 00:44:42.744
<v Speaker 0>Gemini is able to generate downloadable files directly

00:44:42.744 --> 00:44:45.085
<v Speaker 0>from a chat prompt. So this includes PDFs,

00:44:45.420 --> 00:44:49.599
<v Speaker 0>Word docs, Excel spreadsheets, and Google Workspace files.

00:44:52.540 --> 00:44:55.980
<v Speaker 0>You know? And I'm not sure how exciting

00:44:55.980 --> 00:44:58.785
<v Speaker 0>this is. Maybe it's the wide spread availability

00:44:59.805 --> 00:45:05.505
<v Speaker 0>of different, file types. They've gone and covered.

00:45:05.725 --> 00:45:10.525
<v Speaker 0>So docs, sheets, slides, CSV, LaTeX, plain text,

00:45:10.525 --> 00:45:14.609
<v Speaker 0>RTF, and markdown. So you can also either

00:45:14.609 --> 00:45:17.250
<v Speaker 0>download to a device or export it straight

00:45:17.250 --> 00:45:20.930
<v Speaker 0>to Google Drive. And this is just globally

00:45:20.930 --> 00:45:23.010
<v Speaker 0>available now. And to yeah. Just a nice

00:45:23.010 --> 00:45:26.130
<v Speaker 0>UX edition to kinda see coming into, another

00:45:26.130 --> 00:45:30.615
<v Speaker 0>LLM tool. I feel like Claude's had all

00:45:30.615 --> 00:45:34.775
<v Speaker 0>this for a while. So I really don't

00:45:34.775 --> 00:45:37.195
<v Speaker 0>know how to be excited about this one,

00:45:37.655 --> 00:45:43.380
<v Speaker 0>but but definitely nice to see, you know,

00:45:43.380 --> 00:45:46.500
<v Speaker 0>forward movement on tooling like this. I think

00:45:46.500 --> 00:45:50.020
<v Speaker 0>it's cool. Definitely good use of their time

00:45:50.020 --> 00:45:53.255
<v Speaker 0>to make that available, but I definitely think

00:45:53.474 --> 00:45:56.835
<v Speaker 0>last week's story on Google's design MD spec

00:45:56.835 --> 00:46:01.494
<v Speaker 0>was definitely a lot more interesting and industry

00:46:01.635 --> 00:46:05.869
<v Speaker 0>driving than generating real files from Gemini, but

00:46:06.009 --> 00:46:08.250
<v Speaker 0>definitely a nice convenience hack for those of

00:46:08.250 --> 00:46:12.329
<v Speaker 0>you that are using Gemini and like that

00:46:12.329 --> 00:46:16.430
<v Speaker 0>like that work stack. Google did another thing.

00:46:17.210 --> 00:46:19.425
<v Speaker 0>They released I don't know if they released

00:46:19.425 --> 00:46:21.425
<v Speaker 0>it, but they have this tool called Google

00:46:21.425 --> 00:46:24.625
<v Speaker 0>Illuminate, which is an experimental lab tool that

00:46:24.625 --> 00:46:28.325
<v Speaker 0>turns academic papers and technical documents into roughly

00:46:28.465 --> 00:46:32.145
<v Speaker 0>five minute two voice podcast style audio with

00:46:32.145 --> 00:46:36.280
<v Speaker 0>interactive click to jump transcripts. So generation time

00:46:36.280 --> 00:46:39.819
<v Speaker 0>is about thirty seconds. There's a twenty generation

00:46:40.119 --> 00:46:42.700
<v Speaker 0>per day cap and thirty day library retention,

00:46:43.560 --> 00:46:47.400
<v Speaker 0>four style presets, casual, formal, guided, and free

00:46:47.400 --> 00:46:53.315
<v Speaker 0>form. So I guess now it accepts arbitrary

00:46:53.455 --> 00:46:57.155
<v Speaker 0>URLs and topic searches and still requires Gmail

00:46:57.215 --> 00:46:59.375
<v Speaker 0>login and wait list access. So I guess

00:46:59.375 --> 00:47:01.855
<v Speaker 0>it's not publicly available yet, but this is

00:47:01.855 --> 00:47:04.895
<v Speaker 0>very similar to the notebook l m tool

00:47:04.895 --> 00:47:10.810
<v Speaker 0>that generates a podcast. And, you know, I

00:47:10.810 --> 00:47:16.010
<v Speaker 0>have opinions on this, especially in terms of,

00:47:16.010 --> 00:47:20.270
<v Speaker 0>you know, the explosion of agentically generated podcast,

00:47:21.305 --> 00:47:25.704
<v Speaker 0>now in the ecosystem. Definitely feels much more

00:47:25.704 --> 00:47:29.305
<v Speaker 0>spammy. Definitely feels a lot less human. I'm

00:47:29.305 --> 00:47:32.265
<v Speaker 0>not sure if I love it, but it

00:47:32.265 --> 00:47:34.285
<v Speaker 0>is kinda cool to be able to get

00:47:36.660 --> 00:47:39.619
<v Speaker 0>very dense technical information, you know, parsed down

00:47:39.619 --> 00:47:45.780
<v Speaker 0>into simple language that's easy to understand as

00:47:45.780 --> 00:47:47.780
<v Speaker 0>a primer. I think I think as a

00:47:47.780 --> 00:47:51.194
<v Speaker 0>primer, this we'll see this kind of tool

00:47:51.194 --> 00:47:55.994
<v Speaker 0>shining, but I don't I, you know, I

00:47:55.994 --> 00:47:58.795
<v Speaker 0>I don't see the point of using something

00:47:58.795 --> 00:48:02.095
<v Speaker 0>like this to replace actually reading the research

00:48:02.154 --> 00:48:06.839
<v Speaker 0>paper. You know? It it defeats the purpose

00:48:06.839 --> 00:48:11.960
<v Speaker 0>of the depth that the paper provides. You

00:48:11.960 --> 00:48:13.880
<v Speaker 0>know? And so, you know, there's two sides

00:48:13.880 --> 00:48:16.599
<v Speaker 0>of this. Right? So my boss at my

00:48:16.599 --> 00:48:19.535
<v Speaker 0>weekend job has, you know, recently been generating

00:48:19.535 --> 00:48:25.695
<v Speaker 0>training videos, basically, like, by making instructions, you

00:48:25.695 --> 00:48:28.095
<v Speaker 0>know, an instruction list, the notebook l m

00:48:28.095 --> 00:48:29.855
<v Speaker 0>will turn it into a training video and

00:48:29.855 --> 00:48:31.535
<v Speaker 0>and can even make it themed. So they

00:48:31.535 --> 00:48:33.855
<v Speaker 0>they do mostly anime themed, which I find

00:48:33.855 --> 00:48:38.450
<v Speaker 0>funny, but that's a whole topic. But the

00:48:38.450 --> 00:48:40.530
<v Speaker 0>point of that is, you know, it's it's

00:48:40.530 --> 00:48:44.710
<v Speaker 0>very there's not much technicality involved in these

00:48:45.250 --> 00:48:47.275
<v Speaker 0>tasks that are being trained on. You know,

00:48:47.275 --> 00:48:50.315
<v Speaker 0>they're very general information with a very interactive

00:48:50.315 --> 00:48:52.715
<v Speaker 0>u a UI that's simple. It's not something

00:48:52.715 --> 00:48:56.315
<v Speaker 0>like complex math or clustering logic. It's it's

00:48:56.395 --> 00:49:00.869
<v Speaker 0>you know, those types of documentation real need

00:49:00.869 --> 00:49:03.910
<v Speaker 0>real reads and not a summary by AI

00:49:03.910 --> 00:49:08.470
<v Speaker 0>podcasters. So I think the right framing for

00:49:08.470 --> 00:49:11.270
<v Speaker 0>me personally is, you know, something more of

00:49:11.270 --> 00:49:14.305
<v Speaker 0>an index rather than a substitute. You know?

00:49:14.305 --> 00:49:15.665
<v Speaker 0>You can even use it to kinda figure

00:49:15.665 --> 00:49:18.145
<v Speaker 0>out which papers you actually wanna sit down

00:49:18.145 --> 00:49:20.465
<v Speaker 0>with or use it to refresh on papers

00:49:20.465 --> 00:49:22.885
<v Speaker 0>you might have read in the past. But

00:49:24.385 --> 00:49:26.465
<v Speaker 0>the I don't know. I I just feel

00:49:26.465 --> 00:49:28.645
<v Speaker 0>like you lose out on too much by

00:49:28.890 --> 00:49:32.170
<v Speaker 0>turning, you know, a dense paper into a

00:49:32.170 --> 00:49:36.809
<v Speaker 0>five minute summary. And I'm sure that the

00:49:36.809 --> 00:49:39.450
<v Speaker 0>twenty generations a day is actually way more

00:49:39.450 --> 00:49:41.450
<v Speaker 0>than enough. You know, that's a really generous

00:49:41.450 --> 00:49:43.055
<v Speaker 0>cap. I don't know if you should be

00:49:43.055 --> 00:49:45.375
<v Speaker 0>trying to process more than, you know, twenty

00:49:45.375 --> 00:49:48.335
<v Speaker 0>research papers a day. Our brains are literally

00:49:48.335 --> 00:49:51.474
<v Speaker 0>not built to consume information like that. So

00:49:53.135 --> 00:49:55.394
<v Speaker 0>who knows? I don't think I would want

00:49:55.860 --> 00:49:58.580
<v Speaker 0>AI podcaster to, you know, represent any sort

00:49:58.580 --> 00:50:00.420
<v Speaker 0>of work that I've done or papers that

00:50:00.420 --> 00:50:05.140
<v Speaker 0>I've done, especially with the amount of drift

00:50:05.140 --> 00:50:08.724
<v Speaker 0>and context overlap. I think that there's a

00:50:08.724 --> 00:50:11.765
<v Speaker 0>high chance of misinterpreting the material that's trying

00:50:11.765 --> 00:50:16.484
<v Speaker 0>to be conveyed. So that's my take on

00:50:16.484 --> 00:50:17.925
<v Speaker 0>it, but I don't know. What do you

00:50:17.925 --> 00:50:20.165
<v Speaker 0>guys think? You guys gonna be out here

00:50:20.165 --> 00:50:24.040
<v Speaker 0>generating podcasts to learn, you know, deep material

00:50:24.260 --> 00:50:28.900
<v Speaker 0>very superficially, let me know. But I don't

00:50:28.900 --> 00:50:31.220
<v Speaker 0>want to kinda go back or go ahead

00:50:31.220 --> 00:50:33.859
<v Speaker 0>and look back on these years as, you

00:50:33.859 --> 00:50:36.840
<v Speaker 0>know, the age of AI summarization where everything

00:50:36.980 --> 00:50:41.295
<v Speaker 0>went from being long form long form available,

00:50:42.235 --> 00:50:46.495
<v Speaker 0>short form consumed. You know? Rather than actually

00:50:46.555 --> 00:50:50.575
<v Speaker 0>going in-depth on topics, we are just arbitrarily

00:50:50.795 --> 00:50:54.910
<v Speaker 0>skimming skimming over the surface. So who knows?

00:50:54.910 --> 00:50:57.890
<v Speaker 0>We'll kinda see how this changes over time.

00:50:58.110 --> 00:51:00.930
<v Speaker 0>It is kinda interesting to see this, competitor,

00:51:01.230 --> 00:51:05.570
<v Speaker 0>notebook l m. Notebook l m is definitely

00:51:06.110 --> 00:51:12.635
<v Speaker 0>kind of, you know, geared towards research and,

00:51:12.635 --> 00:51:18.255
<v Speaker 0>you know, mind maps, learning, flashcards. So this

00:51:18.315 --> 00:51:22.175
<v Speaker 0>illuminate tool is just audio and the transcript.

00:51:22.315 --> 00:51:24.640
<v Speaker 0>So, you know, definitely a lot more lightweight

00:51:24.700 --> 00:51:29.820
<v Speaker 0>than NotebookLM and probably a better use case

00:51:29.820 --> 00:51:32.700
<v Speaker 0>for, you know, how do you put it,

00:51:32.700 --> 00:51:36.305
<v Speaker 0>like, fresh context reads. Whereas NotebookLM would, you

00:51:36.305 --> 00:51:38.625
<v Speaker 0>know, keep a host of data that can

00:51:38.625 --> 00:51:41.365
<v Speaker 0>be tied together for, you know, later podcast

00:51:41.425 --> 00:51:45.905
<v Speaker 0>or whatever. But, regardless, definitely a nice cool

00:51:45.905 --> 00:51:48.785
<v Speaker 0>innovation by Google. Actually, both of those were

00:51:48.785 --> 00:51:52.750
<v Speaker 0>cool innovations by Google. So definitely excited to

00:51:52.750 --> 00:51:55.309
<v Speaker 0>kinda see more of the tooling ecosystem growing

00:51:55.309 --> 00:51:57.650
<v Speaker 0>out growing out in the next few years.

00:51:58.109 --> 00:52:01.630
<v Speaker 0>Who knows? But big thanks to GoDaddy for

00:52:01.630 --> 00:52:03.390
<v Speaker 0>over twenty years of keeping this show on

00:52:03.390 --> 00:52:05.775
<v Speaker 0>the air. Support us at geek new central

00:52:05.835 --> 00:52:09.455
<v Speaker 0>dot com forward slash GoDaddy. Every click counts.

00:52:10.155 --> 00:52:12.395
<v Speaker 0>You know, using a promo code is like

00:52:12.395 --> 00:52:15.115
<v Speaker 0>writing a check to the show. So definitely

00:52:15.115 --> 00:52:17.035
<v Speaker 0>spread that around. If anyone you know is

00:52:17.035 --> 00:52:18.955
<v Speaker 0>trying to make a nice cool website, they've

00:52:18.955 --> 00:52:21.180
<v Speaker 0>got very awesome tooling to get you up

00:52:21.180 --> 00:52:24.300
<v Speaker 0>and started as fast as possible. If you

00:52:24.300 --> 00:52:26.540
<v Speaker 0>wanna become a GNC insider, go ahead and

00:52:26.540 --> 00:52:28.380
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00:52:45.555 --> 00:52:47.875
<v Speaker 0>a modern podcast app from podcast apps dot

00:52:47.875 --> 00:52:49.420
<v Speaker 0>com. They've got a lot of cool ones.

00:52:49.420 --> 00:52:52.460
<v Speaker 0>I'm currently using I always forget the name.

00:52:52.460 --> 00:52:54.540
<v Speaker 0>It's I think it's Pocket Casts. Yeah. I'm

00:52:54.540 --> 00:52:55.980
<v Speaker 0>really bad about it. I just look at

00:52:55.980 --> 00:52:58.080
<v Speaker 0>the icon and just go, whoop, that one.

00:52:58.860 --> 00:53:01.660
<v Speaker 0>But, yep, Pocket Casts has been serving me

00:53:01.660 --> 00:53:03.635
<v Speaker 0>pretty well. It seems like they get their

00:53:03.635 --> 00:53:06.355
<v Speaker 0>updates pretty fast. Other than them, the one

00:53:06.355 --> 00:53:10.215
<v Speaker 0>that I've noticed that gets, their feed updates

00:53:10.435 --> 00:53:13.175
<v Speaker 0>very fast has been true fans. So definitely

00:53:13.395 --> 00:53:15.715
<v Speaker 0>a couple of podcast apps to check out

00:53:15.715 --> 00:53:17.250
<v Speaker 0>for you guys, a lot of the modern

00:53:17.310 --> 00:53:21.230
<v Speaker 0>podcast two point o features. But let us

00:53:21.230 --> 00:53:22.690
<v Speaker 0>know what you guys thought of the show.
