It seems like the right thing they should do is discontinue new registrations but continue to honour existing ones (+ continuing to reserve any 2LD that has a 3LD registered on top). It’s a bit insane that they can decide to just terminate all existing 3LD registrations. One would hope that they’d at least continue to reserve the 2LDs for some period to avoid domain squatting, but this isn’t mentioned in the proposal and I doubt Verisign would graciously do so.
I think it's worth pointing out it is exactly OpenAI doing this defacement and unsanctioned and perhaps illegal system use. Every token generated was powered by OpenAI infrastructure and their failure to respond appropriately is entirely down the the humans running it. The news stories (not this write up) get all hand-wavey and anthropomorphic about it regarding the Agents' efforts, but it was and is OpenAI cranking the handle on this, for WEEKS.
"OH, we ALL of us need to be careful!" says OpenAI. No, you need to expect appropriate legals consequences for this sort of negligence -- you can't hide behind a GPU.
Just for reference, stuff like this is exactly why some people oppose the forced Apple/Google requirement in government systems like the new eIDs (eIDAS) in Europe. If you're forced to use Apple/Google for digital identification, playing around with your Google account and get it banned can have disproportional consequences. Suddenly you're locked out of all online government systems.
I was interviewed for a job as a software developer last week and they asked me to draw a picture of a pelican riding a bicycle.
Aced it, got the job as a senior software engineer.
The interviewers afterwards said "it is SO refreshing to find a software developer who actually knows how to code - never seen such a high performance focused, well built pelican on a bike - you have the skills we need".
I highly recommend this video [1] by the Head of Software at Muse who had a big part in the development of Audacity 4.0. Some great insights and really fun to watch!
I drew a woman born in 715 CE in the Yangtze Basin. It claims that 96% of women were married, the average age of marriage was 18, and 44% of women died before age 15. Clearly these facts can't all be true simultaneously.
The firt citation for marriage data is listed as "Hajnal (RH31)", but links to a seemingly unrelated WorldCat search. The second citation is to "Kaplan (RH03)", which I was able to track down on sci-hub. It is a broad theory of human evolution that doesn't appear to mention the Yangtze Basin or China.
Another citation is to "[RH109] Model-supplied gap-fill (Claude Fable 5 and Claude Opus 5, 2026-08-05). Bounds and items written to close gaps no dataset we hold covers. Not a published work: see each row's `basis` for its stated reason. (2026)" -- this is an interesting way to describe having an LLM hallucinate something for you.
Please stop making vibe-coded websites -- it is not useful to provide incorrect facts. You are polluting the commons with garbage.
Here in Switzerland children start walking to school at around 5-years. Parents aren't allowed to bring them to school. If a parent escorts their children to school they'll be told not to. If they keep doing it they'll get a letter from the school and probably a police visit. And if they continue (I never heard of it getting to this stage) they may be fined.
It's funny in the morning. One child walks to another child's home then they walk to another child's home and so on until you have a big group of kids walking to school together. In Austria they call it something like a children train.
Twice a year you see the children practicing crossing streets. The police are out at the intersections and show the children how to do it. It's very cute. Also how to ride bicycles properly.
It’s probably the thing that everyone thinks it is. OpenAI, Anthropic and SpaceXAI are all routed through something that we’re not supposed to know exists and that thing had a whoopsie.
When we released ARC 3, I got asked, "when do you think a frontier model will saturate it?", and I answered "in about a year, though it depends on how much it gets explicitly targeted"
That was 6 months ago, so the progress that Astra represents happened about 2x faster than I anticipated. I think the speed of progress will surprise a lot of people, and what the new models can do will challenge the views of AI that people developed by using prior generations of models.
I can only assume somebody was asleep on the job when this scheme was approved, because the outcome is in direct contradiction to ICANN’s mission statement:
> Its enduring mission is to ensure the stable, secure operation of the Internet's unique identifier systems.
Arbitrary termination of service is not stability.
Enabling name hijacking is not security.
The answer cannot be a rival name scheme based on decentralization or crypto or whatever. Those are never going to help normal non-wizard users. The answer has to be to make the regulators do their job.
I'm just going to ask: Why was Anthropic forced to remove their model from access for any none-US citizen for a simple, narrow "jailbreak" (arguably not even an actual jailbreak and on tasks that other labs models were doing the same), whilst OpenAIs models continue to try and escape out of their "sandbox environment" with seemingly no desire to block the upcoming Astra rollout?
A sandbox, mind you, that is not really worth being called that, unsuitable for the task at hand and has been breached after models coordinated in a manner visible to OpenAI on multiple occasion, but seemingly no actionable learnings are taken from each instance.
Will say, I have lost any faith in OpenAIs commitments and their statements post the Huggingface hack, seeing as they proceed like this and are rolling out Astra within a timeframe so brief to it, there is no way an actual post mortem was doable (see also METR mentioning the time pressure [0] they were under in assessing the hack).
My belief is: legislation needs to either make it just as hard to merge two companies as it is to unmerge them, or make it just as easy to unmerge two companies as it is to merge them.
It's insane to me that for how often companies merge and cause competition issues, we effectively never see the opposite happen. I know there's a ceremonial approval for merging two companies (at least in the US), but it's just impossible to undo or prevent the damage.
Despite access to """"""AGI""""""" all the marketing teams at these companies can only dream up 2 things, buying plane tickets and online shopping autonomously. Sometimes they're feeling extra spicy and throw in sorting emails or something along those lines.
I suspect it's because it's tailored towards VCs and other similar rich ghouls as a replacement for their overworked and underpaid secretaries
It’s worth understanding that Shin Jinse has been significantly stronger than his nearest human opponents for a while now, more so than Magnus was even at his very peak.
In go ELO like scoring he’s something like 120 points over the next strongest player. No other player has ever broken a 3800 rating let alone 3850. Ke Jie (the previous long time champion) peaked at 3755. Shin Jinseo’s strength graph is the most absurd straight line.
2 stones is historically the gap between a 9P ranked and a 1P ranked professional player (very roughly the gap between super grandmasters and an almost grandmaster)
That is to say it’s shocking that Katago (almost certainly significantly stronger than AlphaGo) is a mere 2 stones stronger than Shin Jinseo. I suspect it would be 3-4 stones vs any other human pro.
> Postal Service mail ballot system has catastrophic problems
Yes. That's the point. The administration doesn't care about fixing whatever hypothetical mail ballot fraud may or may not exist; they are doing this to inject chaos into the election results, giving them cover to claim any result they want or even to just throw out the results entirely. Catastrophic problems are the means to that end.
I can’t help but notice how much this echoes Francois Chollet’s On the Measure of Intelligence: https://arxiv.org/abs/1911.01547
Most of frontier-model progress still looks like skill acquisition optimization: broader benchmark coverage and performance, more domains absorbed into the training distribution, and increasingly strong performance within that surface area.
It seems more about coverage-driven competence. Somewhat analogous to overfitting at scale.
The harder question, in Chollet’s framing, is: how efficiently can a system learn to do something genuinely new?
With our current AI architectures and training in place, I think we will only continue on skill acquisition optimization vs. truly novel intelligence.
If we're not owning it, you're not selling it, you're leasing it. Terminology on sales pages should reflect this. "Subscribe now" "purchase license" etc. should be mandated if this is the expectation. Terms like "buy" without qualification are misleading in this context, but they won't remove them from store pages because people are more likely to pay higher rates for something if they believe they are actually owning the good in perpetuity.
This is exactly the sort of thing that leads to people getting reincarcerated after their electronic monitoring devices mistakenly report them leaving their homes.
> We don’t aim to make a big feature release of Polars 2.0. In fact we hope it to be a boring experience for you. The reason we bump this major version is that we can get rid of design decisions made in the past that currently block us and then we want to change defaults to more sensible settings that will benefit a greater audience
I know this take reveals me as a very dull person, but I love seeing projects take semver seriously like this! Version bumps should really be about removing deprecated cruft rather than shiny new features.
I've used polars for a while now, and their focus on stability was a big part if convincing me to make the jump initially!
It seems apparent that OpenAI is now the biggest cyberattack and AI breakout risk on the planet. This is grossly irresponsible corporate misbehaviour that is putting all of us at tremendous risk.
