Local AI will crush any machine, of course, and if you need a 512gb ram box you'll probably need to sell both kidneys, but you're well past the average consumer territory with those.

So, fingers crossed nothing breaks down and that some of the funny money goes into R&D which will eventually trickle down to consumer devices in a few years (16TB gum stick SSDs at sane prices pretty please) instead of endless datacenter GPUs and SSDs that will be tossed into a shredder in x years.

The best you can get is TB5 (240W, up to 120 Gbps data transfer) and at 1m long they’re $32 or so from CableMatters. Those are admittedly somewhat thicker, but not stiff.

I wish there was a higher baseline data transfer mandated for usb-c. Sure, 40gbps isn’t needed for all cables, but is some piddly 5gbps too much to ask? We had usb 2.0 speeds back when CPUs just barely entered 1 GHz range, it’s practically ancient technology. Admittedly most people never transfer any data over usb, but with this logic we might as well have usb-c that does charging only. Being able to pick any cable and have 5 gbps baseline means that any usb-c cable is fundamentally usable, if slow. 480 mbps is… ugh.

I don’t have an issue with 60W being the baseline, it’s enough for most laptops and the average GaN charger is 65 W (or less) anyway.

Is reviewing endless reams of AI slop something that's doable? It's a very tiring task when you're looking through code that exhibits most of the usual good quality signs -- except it's just a facade that's likely full of subtle mistakes and you barely know the codebase in the first place. I don't think most devs would be particularly happy about having to do it day in and day out, and you definitely can't outsource such work to some bargain bin shop full of clueless people.

Steering an AI, that's doable, especially at a high level. You probably have a rough idea of how you'd approach a given problem, and a wild mismatch between what you'd expect and what's happening is easy to detect. I'm not sure how a human gets into the loop with "light editing" without just telling the clanker to rework X because flamegraph looks unhappy about this part. Any alternatives would probably slow the process down significantly, at which point you might as well write it yourself.

> Advanced robotic devices are inherently networked systems which creates broad attack surfaces and leaves them vulnerable to data exfiltration, remote disruption of the physical robot, and dependencies on unsecure over the air updates.

Good thing this isn't a concern in ones produced locally.

When I expect to need a lot of tokens and the task isn't too difficult I use sota to plan and create a thorough set of instructions and let deepseek chip away at it. With thorough instructions the quality tends to be satisfactory, and you pay something silly like $15 for 600m tokens.

GLM 5.2 seems like a decent price/perf and Kimi 3 has some real nice performance for an open weights model, but gpt 5.6 is unexpectedly affordable (especially if you don't automatically use Sol at max) so I don't think either is worth it atm. The exception is when you're working on something that US models get cold feet about, which seems like a constantly growing list. For me Fable is already too much of a headache in this regard, but chatgpt is still okay-ish. Hopefully it'll last. If not, there's Kimi.

tldr SOTA for most things because gpt 5.6 is token efficient. If I expect to burn a lot of tokens I use deepseek 4.

Rough patch for google ai

I’m also surprised about there being not a word about smartwatches. I got a cellular apple watch with the idea I could leave my phone at home when doing sportsy stuff like swimming, assuming that a watch with esim support will indeed work with esim. In reality most don’t, Apple is particularly restrictive about it. You’ll probably need some shitty "companion / wearable plan" that most networks don’t even offer. There’s also extra regional compatibility on top of it to deal woth. In the end I never found a deal worth using.

That being said, I settled on esim for my main number and second esim or physical sim as needed when traveling. Having the sim slot free is neat. The biggest downside is "phone gets wrecked and you’re on another continent -> need to authenticate to switch esim to different device -> you need previous number to authenticate -> good luck", but I’m not sure wrecking a phone is more common than having it stolen so it’s probably a wash.

There’s also the fact that unless LLMs do get to AGI (which seems… doubtful, still) there comes a point where a model is good enough for what you need. Fable and gpt 5.6 are certainly pretty neat, but I’ve been happy since opus 4.6. I’d still choose a better model, obviously, but it’s not the end of the world if I was stuck with 4.6 for a while when it already lets me get the end result at acceptable quality.

It also needs to be said that the "erosion of training capability in other countries" is largely theoretical, given that Mistral hasn’t been keeping up and other countries don’t even have anything worth mentioning. You’d first need to _have_ training capability to lose it.

Instruction following seems lower than I’d like, too. OTOH scores on agentic stuff seem high, which… feels a bit contradictory? I thought decent instruction following is step 1 of solid agentic workflow.

The benchmarks look nothing short of incredible. Assuming it’s not benchmaxxed to hell and back it’s just a notch below gpt 5.6, which came out what, a week ago? If the performance claims hold up the delayed Gemini 3.5 pro will likely end up not only behind fable, but also behind 5.6 and a (supposed) open weights model. Google might have to do some real soul-searching.

Obviously there are people who help themselves to others' money if given the chance no matter the circumstances. But if the circumstances change so that people DO start going hungry or homeless, which is a rather obvious side effect of AI-but-not-AGI maximalism brightly espoused by our overlords sama and amodei of the "I can’t wait to make half the knowledge workers worldwide obsolete" variety, the scale of the problem will obviously get worse, as well as the type of people you can get involved if you’re in the international scam market.

As the cost goes down to near-zero you can scale it up almost infinitely, especially if the profits are high enough to get some smart people working on the problem, which going by the article is already the case ("INTERPOL's finding that AI-enhanced fraud is four and a half times more profitable than the traditional kind"; incidents rose by 26% last year). If AI does succeed on mutilating white collar work enough there will be a large supply of knowledge workers that might just join International Scam Co. rather than have their families go homeless. Drowning man clutching at straw and all.

So if technologically it's impossible to prevent and societally it's impossible to prevent (like the attorney that got pwned same as the grandma), I'm not sure if there exists an answer that isn't worse than the thing it's supposed to prevent. I suppose we'll soon be in a situation where nothing we don't directly perceive in real life is provably true. That journalism and media in general seem to be in a deep crisis of trustworthiness means that you won't even get the benefit of the chain-of-trust as a proxy for whether something is or isn't real.

Ignoring everything happening outside of your immediate surroundings is a choice, and probably even good for people's mental health, but my gut feeling is that it does make humanity as a whole dumber and disempowered. What does corruption matter if nobody cares, or even hears about it? It was AI generated by $current_enemy anyway; nothing to see here, citizen.

The bigger fear is of course Valve itself. They have many, many levers they could turn to squeeze their audience. This is of course a terrible long-term decision—Valve being a good steward is why PC gamers largely don’t even bother to learn what other online storefronts offer—but long-term planning is irrelevant if you’re a CEO who’s looking for a new yacht and to lateral away after 3 years of record profits.

@edit: admittedly there is something to be said about the "I don’t _want_ a PC experience, I just want to play the games on my couch" crowd. Being able to set up SteamOS on your own hardware _is_ nice, I just don’t think it’s relevant to any post-Gaben enshittification.

Yes, having a data center that raises your utilities costs by 300% jammed down your throat because the local mayor got blatantly bribed shouldn’t be a thing, especially when it’s powered by mobile gas turbines that stink up the entire area (note: I’m not against data centers on principle, but there are many ways for ultra-wealthy interests to leave people hosed). But things like faintly visible mini-sats don’t seem like a big deal, subjectively, unless you work at an observatory.

My half blind aunt could probably tell the difference between the graphics of a game from 2016 and 2026 if you put them side by side.

Were video game graphics "good enough" for a while now? I’d say yes, with the exception of vr. But to say there has been no noticeable improvement over the last 10 years is silly.

GTA 6 is coming out soon. I’d invite you to actually compare the visuals of gta 6 vs the original gta 5 from 2014 that was released for ps4 (rather than the 2022 enhanced version for consoles or 2015 version for pc which shouldn’t be compared to non-pc gta 6, since 6 for pc will also get a significant facelift).

My question to previewers: how are the guardrails for random joe that wasn’t personally blessed by the ai pope to access the non-nerfed model? Fable is a nightmare in this regard, but I’m not sure whether 5.6 also gets a critical side-eye from the gubmint when you ask it to fix bugs in your code (you filthy hacker, you).

Not sure I agree. Angular fell behind in popularity but was (is? unsure atm) still eminently usable. I gave gemini a test drive recently and it was horrendous, as in "picking dirt cheap Chinese model over gemini any day" bad, and with overzealous guardrails to boot. 3.1 pro feels a year behind and is extremely lazy. 3.5 flash feels like a model you’d run on your 128gb macbook, not something that was released a month ago and which costs a fair bit when used through api.

In any case: as of right now I think that we went from a three horse race to anthropic / openai as premium choices vs whatever is the Chinese fotm for a fraction of the cost. 3.5 pro better be a miracle if google wants to hang out with the big boys, otherwise their only strategy is hoping that both US labs go broke and they remain the last man standing.