Yes, the reCAPTCHA widget is localized[1], but that doesn't automatically mean every term is localized properly.
But the underlying point of the article stands. This is similar to the mythical statement that some park ranger once stated "it's very hard to design a trash can that no bears can use, but that every human can."
reCAPTCHA, like CloudFlare, benefits the wider population of the internet to the extent that everybody can use them, but there are edge cases where some outlier users get locked out of necessary internet infrastructure because they can't grok the ask, can't correctly identify the options, or because their computer / IP is being abused by bots so they are in the splash damage range of the bot checkers.
Just use mTLS via QUIC, it’s standardized, secure, future proof and has implementations in tons of languages and supports proper certificate checks and that whole ecosystem around it which they apparently tried to reinvent. It’s such a great protocol for these use cases, I don’t get why it’s not used more.
I don't think the consumer ecosystem is mature yet.
Adding a cert to my Android phone was a huge pain in the ass. Most homelab apps like Jellyfin don't support it. The homelab space is so buck broken it assumes i don't have a public IP address to just expose things without going through the convoluted VPN setup.
I don't see how mTLS would work for Radicle or other decentralized systems because, as far as I understand, both parties need to have their certificates signed by a shared root.
Lots of families there every year and older folks too, it’s actually a great date for a lot of IT folks as there aren’t many weeks when companies are effectively shut down, maybe even only this one week.
The more interesting question is what happens once we replace manual labor with artificially intelligent robots and we arrive at a place where 99 % of human labor got eliminated. How do you maintain civil order? Every country is built on the premise that you have to “earn your keep” but what when that’s no longer true? Think about it, no labor, only capital. What will the people owning the capital demand of people that don’t own any? They won’t be useful to them in any way. I expect something like forced reduction of fertility for regulars to depopulate countries, while hyper rich individuals will extend their life spans and become immortal. And I don’t mean they will really survive but someone like Elon Musk will have their consciousness mapped to an AI and will instate that AI as their official heir. That sounds crazy but they will totally go for it just listen at what Peter Thiel is spouting in terms of immortality and becoming godlike. Hope people will have enough left to say to prevent that but right now it feels we’re going hardcore towards that scenario.
There have been transitions like that before, but they were slow. It took about two centuries for the US to go from 90% farmers to 2% farmers. Some countries deliberately put on the brakes. India has done this. India is still about 50% farmers. India uses subsidies and discourages farm mechanization to prevent massive unemployment.
There have been fast single-industry transitions. But not that fast. It took about 20 years for printing to go from a large craft with a long history to a minor employer.
Not everybody got out in time, but there was warning. Same for longshoremen when containers came in. Computing in general took about 50 years to totally replace the clerical plants of the 1950s. Railroads in Britain took a few decades to really get rolling, and in the US, they made it possible to use the vast interior of the US.
The AI transition looks to be both broad and fast. That's harder for society to digest.
Underlying assumptions of politics and economics break.
> Elon Musk will have their consciousness mapped to an AI and will instate that AI as their official heir
My guess is that sort thing will become common. We'll probably need some lefty policies to distribute the wealth. To each according to their needs and that.
It remains to be seen how the experience of “the aroma of coffee” works but I expect there will be progress there. That stuff probably came about through evolution as a kind of situation summary so we can make decisions critical to survival and replication like whether to grab coffee.
>we don’t mind that we weren’t here in 1737 BC
This is true. Probably just an evolved instinct not to die. Even so I think it would be cool to live on in some form.
They will settle for what’s available at the time, I dont think it makes sense either but they will come up with something that is good enough for their purposes and as long as the copy parrots the original well enough it will pass.
I guess what they really want is to limit sale of AI models to compliant vendors and then raise the bar to compliance just high enough so they can pass it but smaller labs can’t. There’s no moat, it’s an efficient market that drives margins to zero right now, of course they don’t want that, collusion of the big vendors is the next logical step.
This could be why they’re going so hard on hacking everyone and everything. You make it clear AI is a threat, get it locked down, and then have the capital to push through the lockdown while others are stuck.
and especially how the coverage seems to be drip fed, one case right after the previous one dies down, then this orchestrated "we need to pace" stand by all the big labs
it's really almost perfect, prep the media scene by causing these hacking incidents, generate a bunch of fuss with it, then release an essay saying why regulation is needed to pace development right after
oh and let's not forget the "its gonna kill us all" essay on twitter on top of everything.
It's "flood the zone"[0] as commercial strategy. Does your business look bad? Spam the media with unavoidable press releases, deny competitors and detractors the spotlight by making grand accusations that override their authority. Bonus points if you can channel the zeitgeist by repeating what people already say ("we hate AI!") in a louder tone ("AI will kill us all!").
It worked like clockwork for politics, so I can see why this administration would decant the strategy for economic bluffs too.
Well, smart people usually try to base their opinions on specific information instead of pulling things out of their ass. A whistleblower revealing information. Internal documents laying out a strategy, or even a desire, to conspire. Something that leads one to conclude that a conspiracy is taking place. In the absence of such information, it's just making something up, or in other words, complete bullshit. So asking for a source is trying to give that person the benefit of the doubt that they aren't just a conspiracy theorist and that they might actually have a good reason for believing what they just said.
Source? on HN you can say whatever you want. Your own opinion, without even facts to back it up. The more confident you sound the more convincing you are.
Well, smart people usually try to base their opinions on specific information instead of pulling things out of their ass. A whistleblower revealing information. Internal documents laying out a strategy, or even a desire, to conspire. Something that leads one to conclude that a conspiracy is taking place. In the absence of such information, it's just making something up, or in other words, complete bullshit. So asking for a source is trying to give that person the benefit of the doubt that they aren't just a conspiracy theorist and that they might actually have a good reason for believing what they just said.
That is generally how regulatory-capture works. As silly as I personally think LLM hype is, the "AI" business posture choices with several Trillion dollars in debt on the books has very few options after hyper-scaling/sandbagging loses traction. =3
There ARE other options: network effects and lock-in. These tried and true techniques (mastered by FB and M$) have not yet been taken up by the AIers. I do not think they will rely solely on the push for regulations, so they will soon be doing things like slurping our address books, having "teams" settings, and any other crap they can think of.
When it stops with the compacted isomorphic plagiarism using other peoples work like an intelligence campaign. LLM are not "AI" in my opinion, but are good at domain context search. Neuromorphic computing may change that one day, but it will unlikely arise from the LLM cults. =3
> I guess what they really want is to limit sale of AI models to compliant vendors and then raise the bar to compliance just high enough so they can pass it but smaller labs can’t.
If it's true, it makes them evil. Especially Dario, who speaks about moral high ground and fate of humanity all day, yet it's not that different from a cult leader does.
> If it's true, it makes them evil. Especially Dario, who speaks about moral high ground and fate of humanity all day, yet it's not that different from a cult leader does.
I mean think about it, it's the most efficient way to accomplish all of this.
doing what he does is exactly what you need to control the narrative and push the regulation you need and to gain maximum power.
not to mention, it also serves as a way to keep everyone inside Anthropic in check and in line with "the mission".
contrast that with the alternatives like "I'm doing this because I wanted to build a company and get rich"
doesn't work as well as "I'm so concerned for everyone"
it could be that it's really just him being him, but at the same time, this would be the optimal way to gain power and influence right now.
So kind of like how the US figured out how to test and maintain nuclear weapons without an actual explosion, then sought to ban nuclear testing by explosion.
Yeah it's either that or the scientists are right about their field of study. Absolutely shocking and depressing how many people are willing to trust this Capitalist Realism hunch over the world in front of their eyes.
I get your point. There’s a lot hysteria right now. However I think people are willing to trust a capitalist realism hunch because over the last >20 years, that hunch is usually going to be right.
People keep saying this, and while it may be partially true, it misses a very important detail. Right now, overall compute is a moat. Someone even commented on another of my comments that one reason Google is lagging is they don't have the same level of Nvidia farms as OpenAI and Anthropic.
A big reason that OpenAI and Anthropic are racing so fast is they both want to get to recursive self improvement (remains to be seen if that is actually possible, but AFAICT most people at these companies genuinely believe it is) before anyone else, because they believe whoever gets there first will then have an insurmountable lead. But I think they also clearly understand that neither of them have solved for alignment (and in fact they are further from it), and RSI with misaligned models, where interpretability is worse every 6 months, is incredibly dangerous.
I think the concerns about regulatory capture are warranted, but I see so many comments parroting the "evil Anthropic and OpenAI" viewpoints that they are missing some of the real, valid concerns and dangers. I think this tweet by David Kokotajlo makes some good points on how to tell if regulations are being "cheated" for the purposes of regulatory capture or if they really are actually pacing the frontier: https://x.com/DKokotajlo/status/2099185129533186438
Very true. Or further, access to capital is the moat. It is the very reason that we don't have a real open-source community that trains frontier models - individuals simply can't afford the training infrastructure, nor sufficient high-quality training data.
None of those are frontier models, nor could they have been. E.g. DeepSeek's "$5 million" included piggybacking off OpenAI/Anthropic's hundreds of millions/billions by using distillation.
1) I don't think "frontier model" is a term of art, it is a marketing term. I have an M1 MacBook Pro. What do you have? Always the "frontier model" laptop? Do you always order the most expensive "frontier menu item" at the bar and grill?
2) I do not believe the "billions" number is OpenAI/Anthropic's training costs. I suspect it includes business expenses (including the big $$ to the guy who came up with "frontier model") and infrastructure, etc. That includes the data-center costs for running the cloud. And the "R&D" expenses which includes who-knows-what. And the settlement payment for data access. Etc. Why are the cost breakdowns not available to the public? Not because of thoughtfulness, altruism, care for the human race, but because of business plans.
3) "Piggybacking off OpenAI/Anthropic" - Scraping the web is "piggybacking" too, and so is buying existing data or even paying for new data. The "L" in LLM stands for "language" which is our common heritage.
But what does this have to do with anything anyway? People argue that truly Free (FOSS) LLMs couldn't be be developed because of costs, but I do not think that that is obvious. This used to be the argument against Linux and Wikipedia.
Just regarding "frontier model", it is most definitely not just a marketing term. It was borrowed from the financial concept of "efficient frontier", i.e. the best performance at a particular cost, though in the context of things like "pacing the frontier" it refers to the highest capability models. ECI (Epoch Capability Index) is probably the most commonly used metric of overall capability: https://epoch.ai/eci?view=graph&tab=release-date
"What this has to do with anything anyway" is that pushing the boundaries on AI capabilities has required tons of compute (and money). Open weight models exist and are useful but they always trail in capabilities and they can't be used as evidence to think somehow you can push the boundaries of LLMs without a shit ton of money.
"can't be used as evidence" << the whole field is only a few yrs old and is based on academic maths from decades ago.
A lot of progress is in harnesses and distillation and weird research that requires creativity. The "Frontier" always tries to frame things in terms of "the frontier" in order to limit how we look at things.
We don't know the true costs of pre- and post- training, running data-centers, hiring people, making business deals, etc., so even the (maybe) quantifiable question of cost vs capabilities is not at all clear. The efficiency of businesses ultimately gets measured by their ability to maximize a commercial return; but this is NOT a good metric for other important things, including maybe "how good is this"? (Where "good" is open to debate but maybe not quantifiable.)
It had been true that the "best" operating systems required a lot of business money. And encyclopedias. And ... (list some other good historical examples here!) ... Are Linux and Wikipedia the "efficient frontier"? In a sense they are both infinite performance at zero cost. Hard cash outlays sometimes stop being the determinant for high-effort endeavors.
I remember in the 1990s Encyclopedia Britannica's CDs and MSN (Microsoft Network(tm)) among many others argued that the web would never be able to match the curated, bespoke, expensive products they offered. It was IMPOSSIBLE for that crap to be matched!
> RSI with misaligned models, where interpretability is worse every 6 months, is incredibly dangerous.
This. So very much this. Misalignment (among other things) means that the parent in the RSI cycle isn't going to be working as hard on the alignment of the children as we need.
Which mostly seem to stem from the fundamental misalignment of OpenAI and Anthropic leaders/owners, aka the evil of the companies.
Arguably, though, their evil is well within the normal distribution of the usual evil of humanity magnified via the social technology of capitalism. The further tech is mostly raising that exponentiation to its own exponent. The unchecked singularity was embraced centuries ago.
They’re not running Rust they’re running machine code compiled with the Rust compiler. Like many other Python libraries such as numpy are running machine code compiled with C++, C or Fortran. That was always the case for Python and is its main selling point, it’s a slow but easy to write glue language that can make faster native code scriptable.
Also the article reeks of AI slop, it’s just trying to sell you a Rust course.
One main difference is that pyo3 is safer and easier to use to build said modules and have them work correctly without issues. Thus modules which hadn’t been worth it before to build in this manner suddenly become so
There’s a whole legacy of wrapper interface generators like SWIG that are way more powerful than PyO3, QT is e.g. fully mapped to Python using a very powerful wrapper generator (SIP). PyO3 is just a really simple interface generator in comparison, look at what SWIG can do, or SIP, what PyO3 does is trivial in comparison.
Also my experience, it works somewhat ok on large code bases that I designed and built myself before but after months of agentic development they sure start to degrade. I think if you start from scratch with agentic development there is no foundation for the models to anchor to.
I suspect this is just because of context. The AIs have very limited context related to us. I suspect that this is partially a result of the AIs being forced to be highly generalized machines which will work out of the box with anyone's prompt so they can't afford to be tailored to a particular contextual pattern. This lack of a robust pre-defined contextual framework that is relevant to the human who is prompting them, coupled with limited inputs to what the human actually wants and sees, result in context drift as the agent continues to go down its own path.
I mean I have asked LLMs about the SAME things in our legacy codebase probably 50 times now, (because I always forget, and that I don't understand much of it). And I have yet to get a perfect summary, a perfect diagram of overall concerns.
Its still much better than trawling thrugh code yourself, but they are far from all-knowing. I have to say they have gotten 10x better in just a year as well. Or they are very good bullshitters and just sound confident.
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