einsteinx2

I’ve only ever heard people talk about Long Covid online, I’ve never met a single person in real life that has ever claimed to have it or has any of the supposed symptoms. Everyone has been infected 1 or more times at this point. If I was never online I wouldn’t even know it existed and I honestly don’t think it does exist.

I’m not a Covid denier or anything either. I masked up and stayed in during the pandemic, I got the vaccine, etc. I had original first year Covid confirmed by a test, and I’m positive I’ve had it at least once again since then though didn’t get a test confirmation, so I’m 100% positive Covid is real (I feel like this is an obvious statement but I’m sure some people out there believe it’s a hoax or something). However I’ve seen exactly zero evidence other than online anecdotes that Long Covid exists or ever existed.

If it’s “vastly under diagnosed” I should personally know multiple people with it and should likely have family members with it (at least extended family) and yet I don’t. Not a single person. Honestly I think it’s one of those terminally online things that gets repeated a lot but only online.

> As stated earlier, we don’t consider advertising in general problematic. It’s the unethical, privacy-invasive systems that are very common today which we consider evil. Sponsorship provides a mostly ethical way of advertising.

Considering the fact that the vast majority of YouTube sponsors seem to be some kind of scam or are privacy-invasive themselves, the word “mostly” is doing a lot of heavy lifting there.

I honestly thought this was going to be a joke and just be a giant circle that said “AI” haha

The YouTube video was uploaded 18 years ago, and looks like it was filmed on a VHS camcorder. I guess it could have been 480p as the original would have been 480i, but it wouldn’t look all that much better.

This comic predates that presentation, in fact they use it in their slide deck at 39:00 in your linked video.

That presentation is awesome though, worth a watch either way!

For syncing from desktop chrome probably

Why?

> Who remembers the story of an iphone 5 prototype left a bar.

That was the iPhone 4 actually which was special for having the first “retina” screen. It was in a case to make it look like a 3GS to be used for field testing. The journalists that got their hands on it and published about it before the announcement could not turn it on past I think the Apple logo and a message saying to return it to Apple (or maybe it was just completely off, my memory is fuzzy), but were able to confirm the pixel density via microscope and I remember it blowing everyone’s minds at the time.

> people were signing petitions for Apple to not hunt down but instead forgive the employee that made such a grave mistake

FWIW I asked about it when I worked at Apple and he was indeed not fired and I think may have even still been working there when I was there around 10 years ago (though don’t quote me on that last part, he may have left already and I’m misremembering).

He was apparently not fired or even really reprimanded since it was a genuine accident and he wasn’t the one that sold it to the press, but that did start a slew of new policies around accounting for work devices.

I had dev fused phones for open carry outside of the office while I worked there but had to register when I got them and when they were returned, which apparently didn’t used to be tracked so tightly until that incident according to my coworkers who had been there longer.

> The biggest significance of anyone at OpenAI calling it AGI is their contract with Microsoft, giving MSFT access to all their IP, is based around them having achieved AGI, but presumably they can't just declare that unilaterally. > >Maybe they see getting out of the Microsoft contract as necessary to IPO.

I don’t have a link handy, but they already loosened up that contract significantly earlier this year, surely because they planned to start claiming AGI to pump their IPO and didn’t want to be beholden to all of those commitments.

The irony I’ve always found in that statement is that while it’s true that the government can’t be trusted and is generally incompetent, it’s also true of private companies. So even though it’s a true statement at face value, it’s still not a good argument for privatization which is just trading one set of incompetent and corrupt people for another set of the same but with even less oversight.

If you live in the US sure. I live in a Latin American country where it’s legal to buy coca leaves (cocaine is illegal obviously, but the leaves aren’t and are commonly sold in health food stores of all places for tea).

> Has frontier progress finally stalled?

From my experience using coding agents approximately 7 days per week for the past year and a half or so, we hit the top of the S curve about a year ago around Opus 4.5, and it’s mostly been harness and other tooling improvements since then with small percentage improvements coming from the actual models.

I was saying this already months before Fable dropped and thought from all the Mythos hype that maybe I was wrong…then Fable came out and was barely better than Opus 4.8.

Considering how many more parameters Fable is supposed to be than Opus, we seem to have hit a scaling limit at least with current transformer architecture considering how closely Fable and Opus benchmark and perform in practice.

> Why are these models able to reduce parameters but keep quality?

That’s the thing…they aren’t. Well not in real life use anyway from my experience, but yeah in benchmarks they’re great at it.

This kind of hyperbole isn’t helpful.

Security concerns about supply chain attacks in the AUR (well known to be extremely insecure well before LLMs got popular) isn’t “killing” Arch let alone “killing Linux distributions”, plural.

I’m not sure how true this is, Opus 5 immediately used 2 subagents on the first task I gave it on Friday. In fact my first thought was how it was similar to Fable in that sense.

They’re down so often that if they gave a free month every time they’d have no paying customers lol.

> Did we learn nothing from the TDD nonsense in the 00s?

I was never a fan of TDD, but ironically I think it may finally be a good development strategy now with agentic/LLM coding since LLMs do so much better they they have a verifiable goal like passing tests.

I am familiar with the terms, but I also can see how it can be confusing for a lot of people.

Arguably the complaint was more valid for those older GPT models you mentioned.

Maybe more accurately I should have said “larger”. Fable has the most parameters, Haiku has the fewest.

Also fwiw I’ve never found LLM benchmarks to match reality based on my own usage, not for the large frontier models or smaller open weight models so who knows if Opus is actually better than Fable (I doubt it).

I think you’re just lucky. Look at the Claude status page to see just how often they have outages (it’s almost daily). Even most of the green days have issues if you hover over them, they just don’t count them as outages.

Fable is better than Opus which is better than Sonnet which is better than Haiku. They’re basically just sizes.

Though it gets even more confusing because they also have effort levels so it’s not really possible to call one fast and one slow since Fable on Medium will be faster than Opus on Max.

I agree it’s confusing, and now OpenAI is following Anthropic’s lead with their new naming (Sol, Terra, Luna).

No that’s enterprise accounts. Team accounts are similar to regular Pro and 5x Max accounts in both price and features.

Slowing down your internet connection due to using your bandwidth without your knowledge, getting blocked by websites due to malicious traffic from your IP address, extra annoying captchas due to the same. Those were just the first 3 things off the top of my head.

Right? This is basically one small step away from stuff like “2TB usb stick for $20” scam listings on AliExpress. Of course it will be fake or crap. Cool tear down and write up though.

If it is 128kbps MP3 then it’s slightly worse than YouTube which generally has 128kbps AAC and OPUS versions of everything.

> As enshittification encroaches onto Linux

This is a ridiculous stretch of the term

> With ZFS on root in FreeBSD it's a no-brainer.

ZFS works fine on root on Linux. I use it on multiple machines.

> Linux is feeling more and more like a bunch of random tools thrown together as opposed to a complete OS designed to work as a whole.

This has quite literally always been the case and seems intentional. Linux is the kernel only, others supply the userland of their choice (aka a Linux distribution).

> Everything in the set was real. We couldn't fake any of it, because audiences are so sophisticated now in their knowledge of computers.

It’s funny he said that because when I first saw Jurassic park as a computer nerd kid, I was calling out the “this is UNIX, I know this” scene where she then flies around the file system in a 3d rendered file browser as typical movie computer BS.

Turns out it was a real application running on a real SGI machine, and ironically I was calling it out specifically because of my knowledge of computers (not having any idea about SGI machines at the time but having a ton of experience with DOS and Windows 3.1). My family who didn’t have much computer knowledge didn’t think anything of it.

I was going to reply that I thought the Boeing 737 was also hands down the most popular commercial airplane model in current use, so of course it would have more high profile issues. Then I did a quick web search and apparently the Airbus A320 is actually more popular since 2025, otherwise they’re fairly close to even. Yet these things only seem to happen to Boeing.

So yeah, never mind, fair game to blame Boeing actually.

> and spent $165,000 of tokens on the most advanced coding LLM anyone has access to.

After having used 2 full weeks of 20x Max plan tokens on Fable over the weekend (coding all day Saturday and Sunday on a non-trivial project, tasks across full stack, mix of adding features, reviewing code, and fixing bugs), I’m confident if he’d spent $165,000 in Opus tokens the port would have gone more or less just as well (and probably for less than $165,000). Especially so with the system they set up with all the custom workflows, adversarial reviews, extensive test coverage, etc.

But I get your point is probably more about Jarred’s experience level and the high cost than the specific model used other than it being SOTA. I’m just being pedantic and feeling a bit disappointed with Fable’s real world performance after all the hype.

> I expect if he'd spent $165,000 running Fable against the Zig version he could have got a 5% performance improvement, too.

Totally agree and in fact I’m sure it could be done with significantly less cost even if they stuck with Fable instead of Opus which I’m sure could also do it.

> I also did an N=1 test with the same prompt doing a large non-trivial change to the codebase (migrating from Sqlite3 to Postgres) with both Fable Medium and Opus Ultracode, then had a new Fable session compare the two PRs...it decided Opus’s was much better! I can link a Gist with the review if anyone is interested, but I can't share the code as it's a private repo. I really figured Fable would bias to favor its own code, but I guess not. And Opus costed less (in tokens and subscription limits) and took roughly the same time (though you can’t really measure time since it depends entirely on how many GPUs Anthropic allocates at that moment which constantly fluctuates due to usage, plus Fable seemed to have been getting way more allocation than Opus during this test period as Opus was running unusually slow all weekend while Fable was ripping though tokens).

Haha I just gave the exact same prompt to Opus Ultracode and it thought Fable’s was better.

Obviously this isn’t the most scientific test due to LLM non determinism, and I still need to manually review both to make my own decision, but the fact at least they seem to basically be a wash is pretty telling about how much of an improvement Fable is when you actually compare them as close to apples to apples as possible (aka similar actual effort/token spend/sub agent activity)