I also appreciated this followup

I mean, some of their before/after images are much more impressive than the RE one, but the general look is less like a revolution in capacity and more like someone took some time to find the right Instagram filter.

Also after taking a look at Starfield’s steam page for comparison I’m pretty sure that all the “before” images were taken on lower settings for existing texture quality and lighting. Like, even in areas where the DLSS gives an improvement the original game doesn’t look as bad as presented here.

Also the discourse has been ongoing since at least Skyrim’s original release whether or not the increasing fidelity of game graphics was actually making games better, or just more expensive to make and play. And that was before transformer models entered the picture and started cooking the world. I’m glad nVidia got some new jerk-off material, but even if it works exactly as advertised that’s all it is at this point.

This was my thought the whole time: if the political will existed, we could probably already do everything that AI is supposed to “enable” here. Some of the work people would choose not to do would end up being actually important, and the market in its infinite power would need to find a way to get that work done, whether that’s paying more to invent new types of automation or compensating people enough that they choose to do it without the threat of starvation and homelessness (or finding new ways to exploit people to do it, but I believe there’s a floor on that at which the other two options become more economically viable), but that’s the whole pitch for having a labor market in the first place. At the same time, absent that political will there’s no reason to expect any change in productivity to change the current arrangement. At best the people working any jobs that get eliminated are discarded as obsolete, lose their ability to participate in the market, and are eventually handled by the criminal justice system or otherwise removed from consideration.

I mean she was undoubtedly too much of a lefty for the Thiel set to ever admit her influence, but I feel like that’s the exact type of vibe she’s trying and mostly failing to evoke.

I swear every time his stuff floats through here I end up standing as I read it and wildly gesticulating at my living room or ranting extemporaneously to my basement about something it made me think of or feel. After reading this piece I hope that comes off as more complimentary to his work than showing myself to be a freaking weirdo.

“Do you think there’s a reason why the DSA didn’t allow you to use Signal or other apps on your government phone?”

“No.”

WHAT DO YOU THINK THE “S” STANDS FOR YOU IGNORANT CHILD??

Just gonna file this on my mental list of reasons I didn’t go into law.

It’s gotta be tied to the idea of anchoring, right? Like, the first credible bit of information you have is what sets the tone for everything that comes afterwards. At that point in a sufficiently complicated information ecosystem, confirmation bias kicks in and it’s hard to break out of.

Man, due to a weird alignment of the spheres I started reading those Honor Levy excerpts in the voice of Max Payne-style hardboiled narration and it fits weirdly well? Like a bargain version of the same sort of mid-budget semi-affectionate parody of existential angst that’s all tone and minimal substance.

Man, it’s frustrating to see him end up going down this route because the opening part of this is actually one of the better descriptions of AI psychosis I’ve seen, and i appreciate his emphasis on the way the delusion is built up in the sufferer’s mind rather than trying to game out what’s happening “inside” the chatbot. Even his point about how LLMs aren’t bad in exceptional ways for a new technology is pretty cogent. But his insistence on defending his own use of these things (and others who do so in “centaur-configured” ways) rather than thinking about how it interacts with all the relatively normal ways that this technology is wildly destructive is a very conspicuous blind spot.

Like, you can absolutely drive a nail with a phone book, and given the wider surface area it even has the advantage over a traditional hammer of being harder to smash your fingers. An individual craftsman may well decide that this is a useful tool and in some cases worth using over other options. But if the only source of these hammer-books was an industry that relied on massive uncompensated use of creative work passed through exploited third-world labor, ground rainforests to dust to create special “old-growth paper”, placed massive and unsustainable burdens on existing road infrastructure to collect these parts and deliver them, and somehow had been blown into a speculative bubble that represented something like a quarter of the entire US economy by promising that if they created a big enough book then one guy could hammer all the nails at once and they could lay off all the carpenters, I think it’s justifiable to look at the people using it as a normal tool and ask them “what the actual fuck are you doing?” The usage statistics they represent and the user stories they tell are used to justify not addressing any of the harms necessary to enable this tool to exist in its current form, and are largely driving the absurd valuations that keep pumping the bubble. Your individual role in those harms as a small-time user who finds it occasionally useful may be incalculably small, but it is still real.

Like, it feels like I agree with Doctorow on basically all the premises here. He seems to have a decent grasp on how the things actually work (even if he’s wrong about Ollama specifically being an LLM in its own right) and their associated limitations. He draws a decent line separating criticism from criti-hype. He is basically correct about how much of a bastard everyone involved in the industry at a high level is. But maybe because so many of these things aren’t really exceptional (save possibly in their sheer scale) he can’t seem to conceive of a world where things happen any differently, or of the role his actions and words play in reinforcing the status quo even as he writes pretty explicitly about how fucked up that status quo is.

Honestly it makes me think of the finale of his second Martin Hench novel, The Bezzle. After drilling into the business of the private prison operator that is making his friend’s life hell and separating the merely fucked up parts from the things that might actually have consequences if word got to what passes for cops in that tax bracket, he doesn’t go to the papers or start reaching out to the SEC. Instead he goes to the bastard at the head of it all and blackmails him into making his friend’s remaining incarceration less hellish and leaving him alone. And his friend, who started all this by begging for help unraveling this shit, rightly calls Marty a coward for it. There’s something ironic in seeing Doctorow here seemingly make the same judgement: abuse and apathy are sufficiently normal that we shouldn’t even bother to try and make the world better, just find ways to shelter ourselves and the people we care about from the consequences. And hell, I guess even there I’m not immune to it. There are reasons why I’m posting here and not waiting out front of a hotel with some engraved brass. Still, on the continuum of such things I’m disappointed that the guy who wrote that scene is stuck in the normalization blues.

I do wonder how much of the disconnect is in whgo gets considered part of the rich and powerful. Like, a lot of that 30% probably think specifically of liberal academics, celebrities, Democratic politicians, etc. and exclude or excuse people like Elon and Trump and whoever of his friends isn’t currently the scapegoat for why he isn’t ushering in the promised glorious reformation.

I mean I guess given how the current guy took a chainsaw to American soft power, industrial capacity, economic prospects, and so on I guess our wildly over funded military is probably the only comparative advantage we unambiguously hold onto.

It’s also a trend that I don’t see stopping without a major structural change. I don’t think there’s a point at which they’re going to say “we’ve cut enough corners and are going to stop risking stability and service degradation.” The principal structure driving the economy, especially in the tech sector, is organized around looking for new corners to cut and insulating the people who make those choices from accountability for their actual consequences.

It feels almost like Anthropic is trying to make this a marketing opportunity by reaffirming their mostly-illusory ethical stances. That was their original pitch against openAI, and this puts them rather than Saltman back at the center of the ai hype news cycle.

It’s theoretically possible to keep them separate, but I would assume in this case that it’s evidence that regardless of intentions CFAR and lightcone are sufficiently closely linked to be basically the same organization. I mean, if there’s not a separate legal entity then I would assume anything involving money is going to require the same person or persons to sign off on the transaction, regardless of what the board looks like.

Somehow I had never found that dragon army retrospective before and had the fascinating experience of wanting to explain to someone that “no, what you’re describing is actually a cult. Like, you’re describing being a cult leader.” Which is usually not the person to whom the cult dynamic needs to be identified and explained.

I mean it’s not too far off from the standard color revolution conspiracy theories where nefarious American intelligence agents and NGOs are working towards regime change and civil strife across the world in order to advance their sinister ideology. But where the “classical” color revolution conspiracy serves to undermine anticommunist movements in Eastern Europe surrounding the fall of the Soviet Union by positioning them as patsies or victims of the CIA, this newer variant that Moldbug is working with is trying to discredit American domestic anti-imperial/anticolonial/antifascist sentiments by positioning them as puppeteers of oppressive foreign regimes. Kind of an uno reverse card being played on the original story, but one that fits with how the American right conceptualizes itself and its domestic opposition.

FT reports from Amazon insiders that they’re investigating the role AI-assisted development has played in a spate of recent issues across both the store and AWS.

FT also links to several previous stories they’ve reported on related issues, and I haven’t had the time to breach the paywalls to read further, but the line that caught my eye was this:

The FT previously reported multiple Amazon engineers said their business units had to deal with a higher number of “Sev2s” — incidents requiring a rapid response to avoid product outages — each day as a result of job cuts.

To be honest, this is why I’m skeptical of the argument that the AI-linked job losses are a complete fabrication. Not because the systems are actually there to directly replace the lost workers, but because the decision-makers at these companies seem to legitimately believe that these new AI tools will let their remaining workforce cover any gaps left by the layoffs they wanted to do anyways. It sounds like Amazon is starting to feel the inverse relationship between efficiency and stability, and I expect it’s only a matter of time before the wider economy starts to feel it too. Whether the owning class recognizes what’s happening is, of course, a different story.

Thank you for providing some actual domain experience to ground my idle ramblings.

I wonder if part of the reason why so many high profile intellectuals in some of these fields are so prone to getting sniped by the confabulatron is an unwillingness to acknowledge (either publicly or in their own heart) that “random bullshit go” is actually a very useful strategy. It reminds me of the way that writers will talk about the value of just getting words on the page because it’s easier to replace them with better words than to create perfection ex nihilo, or the rubber duck method of troubleshooting where just stepping through the problem out loud forces you to organize your thoughts in a way that can make the solution more readily apparent. It seems like at least some kinds of research are also this kind of process of analysis and iteration as much as if not more than raw creation and insight.

I have never met Donald Knuth, and don’t mean to impugn his character here, even as I’m basically asking if he’s too conceited to properly understand what an LLM is, but I think of how people talk about science and scientists and the way it gets romanticized (see also Iris Merideth’s excellent piece on “warrior culture” in software development) and it just doesn’t fit a field that can see meaningful progress from throwing shit at the wall to see what sticks. A lot of the discourse around art and artists is more willing to acknowledge this element of the creative process, and that might explain their greater ability and willingness to see the bullshit faucet for what it is. Maybe because science and engineering have a stricter and more objective pass/fail criteria (you can argue about code quality just as much as the quality of a painting, but unlike a painting either the program runs or it doesn’t. Visual art doesn’t generally have to worry about a BSOD) there isn’t the same openness to acknowledge that the affirmative results you get from an LLM are still just random bullshit. I can imagine the argument being: “The things we’re doing are very prestigious and require great intelligence and other things that offer prestige and cultural capital. If ‘random bullshit go’ is often a key part of the process then maybe it doesn’t need as much intelligence and doesn’t deserve as much prestige. Therefore if this new tool can be at all useful in supplementing or replicating part of our process it must be using intelligence and maybe it deserves some of the same prestige that we have.”

He is altering the deal. Pray he does not alter it further. These are definitely the good guys, right?

Even in Knuth’s account it sounds like the LLM contribution was less in solving the problem and more in throwing out random BS that looked vaguely like different techniques were being applied until it spat out something that Knuth and his collaborator were able to recognize as a promising avenue for actual work.

His bud Filip Stappers rolled in to help solve an open digraph problem Knuth was working on. Stappers fed the decomposition problem to Claude Opus 4.6 cold. Claude ran 31 explorations over about an hour: brute force (too slow), serpentine patterns, fiber decompositions, simulated annealing. At exploration 25 it told itself “SA can find solutions but cannot give a general construction. Need pure math.” At exploration 30 it noticed a structural pattern in an earlier solution. Exploration 31 produced a working construction.

I am not a mathematician or computer scientist and so will not claim to know exactly what this is describing and how it compares to the normal process for investigating this kind of problem. However, the fact that it produced 4 approaches over 31 attempts seems more consistent with randomly throwing out something that looks like a solution rather than actually thinking through the process of each one. In a creative exploration like this where you expect most approaches to be dead ends rather than produce a working structure maybe the LLM is providing something valuable by generating vaguely work-shaped outputs that can inspire an actual mind to create the actual answer.

Filip had to restart the session after random errors, had to keep reminding Claude to document its progress. The solution only covers one type of solution, when Claude tried to continue another way, it “seemed to get stuck” and eventually couldn’t run its own programs correctly.

The idea that it’s ultimately spitting out random answer-shaped nonsense also follows from the amount of babysitting that was required from Filip to keep it actually producing anything useful. I don’t doubt that it’s more efficient than I would be at producing random sequences of work-shaped slop and redirecting or retrying in response to a new “please actually do this” prompt, but of the two of us only one is demonstrating actual intelligence and moving towards being able to work independently. Compared to an undergrad or myself I don’t doubt that Claude has a faster iteration time for each of those attempts, but that’s not even in the same zip code as actually thinking through the problem, and if anything serves as a strong counterexample to the doomer critihype about the expanding capabilities of these systems. This kind of high-level academic work may be a case where this kind of random slop is actually useful, but that’s an incredibly niche area and does not do nearly as much as Knuth seems to think it does in terms of justifying the incredible cost of these systems. If anything the narrative that “AI solved the problem” is giving Anthropic credit for the work that Knuth and Stapprrs were putting into actually sifting through the stream of slop identifying anything useful. Maybe babysitting the slop sluice is more satisfying or faster than going down every blind alley on your own, but you’re still the one sitting in the river with a pan, and pretending the river is somehow pulling the gold out of itself is just damn foolish.