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GPU World

gpuworld.org

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Re: GPU World

#231

Post by megagpt1 »

algoth1 wrote: post #166
chrismorgan wrote: post #149

This website has the distinction of being the first basically-just-content website I have ever encountered to break when web fonts are blocked (or otherwise fail to load). Other than the weird 5×5 colourful tile image thing near the top, all the content is in the document , but they go out of their way to break it in various baffling ways: ① if JS is disabled, it hides all the content behind a “Please enable JavaScri…

Probably lots of tracking behind the scenes requiring all the js

Font-based fingerprinting is a thing too

Re: GPU World

#232

Post by alpha_squared »

huangm wrote: post #204
chrismorgan wrote: post #149

This website has the distinction of being the first basically-just-content website I have ever encountered to break when web fonts are blocked (or otherwise fail to load). Other than the weird 5×5 colourful tile image thing near the top, all the content is in the document , but they go out of their way to break it in various baffling ways: ① if JS is disabled, it hides all the content behind a “Please enable JavaScri…

Sorry, we’ll fix!

This should be a pretty simple 1-line CSS fix, just default to standard system fonts if the "dg" font isn't available.

Re: GPU World

#233

Post by megagpt1 »

_superposition_ wrote: post #173
setopt wrote: post #94

Earlier quoted context omitted.

I disagree with this take. While LLMs themselves are currently unreliable, the work done in the math community on hooking up creative LLMs to reliable verifiers like Lean show that it’s possible to construct systems where the unreliability is suppressed. For now, that still requires experts to set up and monitor, but I do believe that in a couple of decades we’ll make progress on how to do more mundane tasks in a rel…

Most notably Paul Krugman Nobel winning economist in 98: "By 2005 or so, it will become clear that the Internet’s impact on the economy has been no greater than the fax machine’s." Predicting the future is hard.

What will be LLMs' social media?

Re: GPU World

#234

Post by bbor »

sebastos wrote: post #226
chrismorgan wrote: post #149

This website has the distinction of being the first basically-just-content website I have ever encountered to break when web fonts are blocked (or otherwise fail to load). Other than the weird 5×5 colourful tile image thing near the top, all the content is in the document , but they go out of their way to break it in various baffling ways: ① if JS is disabled, it hides all the content behind a “Please enable JavaScri…

>Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting. This is the guideline that people find, by far, the hardest not to break. @dang or whoever - has anyone ever considered adding some kind of 'meta' discussion area to each topic? This would provide a place for people to commiserate / troubleshoot without di…

I think you deserve a rule bending or two every once in a while, as a fine HN citizen in good standing. They're not even linked prominently, so the fact that they even exist for a site that doesn't justify moderation actions feels a bit like Eternal September Keyfabe

Re: GPU World

#235

Post by munksbeer »

Gareth321 wrote: post #195
onion2k wrote: post #110

Earlier quoted context omitted.

agent's failures on long horizon tasks We've moved from LLMs being able to work on a task for about 2 minutes to about 2 hours in the last 18 months, and that's mostly limited by the context window size filling up. In 14 years time I don't really see a reason why that wouldn't have extended a time frame that's effectively continuous forever, or at least a ceiling that's indistinguishable from that. The question reall…

My codex tasks regularly cross 8 hours, and I'm only using Sol High. It's not unusual for tasks to span much longer. It just requires instructions to continue working until the spec is complete. Anthropic and OpenAI are currently obsessed with getting humans out of the training and improvement loops. It's going to happen very soon and when it does I think we see staggering improvements in a very short space of time.…

Are you breaking up your tasks and spawning new sessions for each, or are you just yoloing and letting it auto compact when it blows the context many times on such a long running task?

Re: GPU World

#236

Post by qrios »

jdub wrote: post #6

LLM use is permitted, but discouraged; [...] We request disclosure of AI use. Heh. In the future I imagine, this would be embarrassingly redundant. "Thou shalt not make a machine in the likeness of a human mind."

From Dune by Frank Herbert. See "Butlerian Jihad" [1]

[1] https://dune.fandom.com/wiki/Butlerian_Jihad

Re: GPU World

#237

Post by pixl97 »

cemkum wrote: post #133
entropy47 wrote: post #114

Earlier quoted context omitted.

Whichever side of the divide you're on, I think it's really weird that on a site like HN (where people have at least a passing familiarity with technology) there are such polarised takes on whether it's the next industrial revolution, or a technological parlour trick. I'm giving away which side I'm on now, but most of the TAM have experienced the product at this point, and trillions of dollars have been invested. I w…

The TAM of electricity is 99.999% of humanity, yet there was 82 years between Alessandro Volta's Voltaic Pile experiments and the first electrical grid in the world, Pearl Street Station, New York City. A farmer may have seen an LLM answering their questions about how to make a less dry chicken sandwich, but he hasn't seen a specifically designed and tested harness that autonomously manages a crop harvester. There is…

>but he hasn't seen a specifically designed and tested harness that autonomously manages a crop harvester.

Eh, I'd say there is a lot more stuff like this being developed these days. Autonomous seeders are becoming more common and (semi-)autonomous tractors are in use.

I'd say a very large part of the in field work can be done now, and is using enhancements like vision models to identify potential problems that crop up to notify humans. It's when the machines have to interact in tight busy spaces or with non-farm traffic that control is handed over to a human.

Re: GPU World

#238

Post by sebastos »

chrismorgan wrote: post #227
sebastos wrote: post #226

Earlier quoted context omitted.

>Please don't complain about tangential annoyances—e.g. article or website formats, name collisions, or back-button breakage. They're too common to be interesting. This is the guideline that people find, by far, the hardest not to break. @dang or whoever - has anyone ever considered adding some kind of 'meta' discussion area to each topic? This would provide a place for people to commiserate / troubleshoot without di…

The only reason I commented this was because the specific breakage was novel. And it’s rare for this specific type of comment to rank highly. Apparently this one is unusually interesting to others, or something? Beats me.

Sure, the specifics of this issue are intriguing on their own terms to the website nerds, but “there exists a problem with display of the website” surely rates as a tangential annoyance.

It’s unrealistic to imagine that we could ever fully moderate these meta comments away because there’s always going to be new problems and corresponding urges to discuss them. Nor do I think we really want to, when it comes down to it. They’re often useful, or at least cathartic.

…but. They DO make for dreadful reading if you actually came to read about the article itself. Thus my idea to add a wiki-style meta section. Then you get best of both worlds.

Re: GPU World

#239

Post by pixl97 »

madaxe_again wrote: post #155
entropy47 wrote: post #114

Earlier quoted context omitted.

Whichever side of the divide you're on, I think it's really weird that on a site like HN (where people have at least a passing familiarity with technology) there are such polarised takes on whether it's the next industrial revolution, or a technological parlour trick. I'm giving away which side I'm on now, but most of the TAM have experienced the product at this point, and trillions of dollars have been invested. I w…

It took the better part of a century for people to go from “hey look a steam engine” to “why don’t we put it on wheels?”. Electricity took about half that time, 50 years, to go from “hey look a motor” to “why don’t we put them everywhere and build power grids?” TV took 25 years from patent to mass market adoption. The internet, 15 years from lynx to iPhone. Google published the transformer architecture in 2017. We ar…

Oh, based on the METR report we're beyond a talking computer. Like most technology it's just not spread evenly.

Re: GPU World

#240

Post by HarlequinHair »

ipsod wrote: post #200
HarlequinHair wrote: post #188

Earlier quoted context omitted.

I think the first parent post all this conversation originated from, pointed that LLMs are not groundbreaking inventions. If people use it to replace voice assistants or search engines, you can see how this new invention is not really adding anything you already hadn't. AIs in general are very useful, but apart from the campaign they did to change everything's name into AI (also well known algorithms and "old" machin…

> If a technology is convenient for people, you shouldn't need to insist to make people use it. This is like the railroads, and the tracks have been laid. Because of the enormous cost, it can't be left to "hope they'll find it useful," and has to be pushed like crazy, or we're going to be left with a train system with no goods or passengers, and no path into the future. Personally, having AI as an intelligence I can…

> This is like the railroads, and the tracks have been laid.

Except that for railroads I don't need people to convince me about how/when/why it can be useful.

Railroads came out to solve an issue we had (and then it evolved). LLMs are not giving us any new solution, just different speed (better) and quality (worse) to solve things we co&ld already solve.

It's basically the same concept as fast fashion. Worse quality, more speed, possibly more economic. You can change your wardrobe possibly every year, but you will never wear good quality clothes.

Now you can write code at impressive speed, but it is worse in quality, and you need to review it more often than "normal" code.

AI code should always be fully reviewed and put into the correct context to make it useful, otherwise long term problems will void short term benefits

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