4,609 karma · joined July 6, 2015
Yes I'm surprised most of the "anthropic stans" don't realize this.
It's not like OpenAI is a particular fan of open-source models either, but the way I see it to OpenAI it's a purely calculated pragmatic business decision. They won't release weights for any good models since it'd impact revenue, and they view other open models as competition. But otherwise they're not ideological about it. If there was some really good reason to, they would (and they have, gpt-oss probably as a fig leaf). Sure some of the characterizations of "sama" aren't particularly flattering, but at the same time I think the common thread that he views everything as "just ruthless business" is ultimately beneficial, since rational and pragmatic can be modeled and understood.
Anthropic's founding philosophy is built on the premise that only they should control AI because of its danger, only they can be the right stewards, and that open-source models are an existential risk. Oh and the fact that it's Chinese open-source models rather than western models that are "winning" must be keeping them up at night.
We've seen this play out twice in history now (industrial revolution, then globalization/offshoring). Every time the pitch has been that automation would make life easier by trickling down the surplus productivity gains. And yet here we are still working 5 days a week with more intense competition than ever. Fool me once...
And also most of what AI can automate today is the "services" economy which was never really that crucial in terms of biological existence. ChatGPT will not build housing, raise livestock, or perform surgery.
Experience with modern society has shown that "third places" and human interactions get mowed over when you let algorithmic engagement take over. As I understood GP's point, the whole point of the "words on a shirt" was to get together as a group and attempt to form bonds, and by handing the task over to chatGPT they failed to do that.
Technically you can imagine a future where people use chatGPT "in moderation", but in practice they'll use it for everything and spontaneous/creative "hanging out" will suffer as a result.
https://terrytao.wordpress.com/2016/06/01/how-to-assign-part...
At least with the formulation Tao had, one unfortunate side-effect is that if you answer with 100% confidence and get it wrong, you basically fail the entire course.
You can't possibly see a use-case for long-lived branches? Say what you will of git, at least it exposes enough knobs that it can mostly accomodate every workflow (possibly with a heavy porcelain layer to hide the plumbing). JJ seems to swing too far in the other direction, great for a "live on head" mentality but less ideal for other setups.
(The fact that all edits are automatically recorded is my personal peeve with JJ. I'm ok with lack of staging area like in Mercurial, but mercurial doesn't try to automatically amend the commit with my pending changes. Sure I can pretend that "@" is my staging commit then squash as needed, but then I also need to remember that checking out a commit is "jj new" which feels like absurd mental gymnastics to me.)
That's really surprising, since it'd defeat the whole point of KV caching. I mean I buy it considering how sloppily coded the harnesses seem to be, but this like obvious low hanging fruit.
I've also often wondered why LLMs aren't trained with a format of having a dedicated contextual system-instruction role at the _end_, which you could use to put context like current time or other misc stuff.
I thought Ronan Farrow's investigate essay answered that pretty satisfactorily? https://www.newyorker.com/magazine/2026/04/13/sam-altman-may...
Can you elaborate more on this? I also assume by "mewing" you mean putting the tip of your tongue on your hard palette right behind your upper incisor, and letting the rest of the tongue suction against the hard (and soft) palette. Surprisingly for something that seems to be so "popular" in "broscience" I find it hard to find any canonical definition or technique.
Maybe in that vein, one thing I wish phones would do to differentiate themselves is just add more sensors. I want my phone to be the tricorder from star trek. iPhones should have first party support for generating point clouds and measuring distances using lidar. Their microphones are probably already calibrated, why not expose that as a decibel meter. Same for light sensors. Phones used to have IR emitters, why not add those back in?
Also the iPhone still only has 240fps slow motion, I've found samsung's 960fps really useful in capturing transient phenomenon or even measuring mundane things like LED flicker.
Conversely the Pixel seems to be the only one shipping with an IR thermometer, and they'll probably remove it given most people don't seem to care. That's something I would've found useful in ad-hoc situations where I've had to make do with the back of my hand.
Air quality detection (especially pm2.5, CO2, and CO levels) would be great but I don't know if those sensors can be miniaturized enough to fit.
[1] https://developer.apple.com/library/archive/samplecode/TextE...
Smell and taste seem to be the last two senses/modalities we can't really work with using technology. Vision (cameras) and sound (microphones) have existed for a long time but it's only within the last decade that they've become ubiquitous in the form of a smartphone, and only within the last 5 years that ML is good enough to work across them (ocr, stt).
But for some reason (maybe lack of easy commercial opportunities) we haven't even come close to making "artificial noses" to record raw input. Maybe as part of the push for "embodied humanoid AI" (e.g. Figure) we'll find a way to do that.
https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-f...
So why not use AI to find the obvious spam and SEO? Sites like pinterest, "geeksforgeeks", stackoverflow clones were notorious for ranking highly on almost every technical search and you didn't even need AI to deal with those. Using AI to provide distilled summaries and making it harder to get the actual links is going to make things even worse for the user, because you have to cut through two layers of slop. And there's also not using the smartest model for the responses anyway.