- Aug 15th: Tristan Buckmaster & Levent Alpöge make progress on a few important math problems, "finite-time blowup with smooth forcing for incompressible porous media, for Boussinesq, and for 3d incompressible Euler."
- they do NOT have a proof for the $1,000,000 Millenium Prize problem. BUT, they do claim to have a proof for a similar (non-Millenium) Navier Stokes problem that could help lead the way there
- Levent works at Anthropic, but this research was independent of his work there, with a mix of GPT and Claude models. Tristan is not related to Anthropic.
- Early Sep: Rumor spreads to OpenAI that Anthropic solved a major problem. Tristan emails OpenAI to clarify, without revealing the problem they solved or how they did it.
- After hearing of the rumor, OpenAI started researching Navier Stokes with a new internal model.
- Sep 6th: OpenAI's Sebastien Bubeck tells Tristan that they solved the $1,000,000 Millenium Prize Navier Stokes problem. The approach is very similar to Tristan & Levent's approach to the non-Millenium problem.
- Tristan is suspicious of the timing, as only few others were trying this approach. OpenAI says the model didn't access his user data directly, but leaves unanswered whether Tristan's chat conversations were part of the training.
- OpenAI says they would partially credit Tristan for the $1,000,000 discovery (even though Tristan did not solve the $1,000,000 problem) — but only if they remove Levent as an author, as he works for Anthropic.
- Sep 8th: Tristan refuses to remove Levent, and rushes to publish their results independently.
> It was also said that if OpenAI posted after us, they would say that we deserved the Clay Prize, and that we were the “closest humans to the problem”. I declined both offers. I said that if OpenAI released its result in the way proposed I would go public with what happened. The reply was, “Why would you ruin your career?” I replied that I am an academic, and asked why he thought going public would ruin my career. The reply was, “If you don’t want me to be nice, then I don’t have to be nice.”
I'm not even sure what to say to this, but I think this should be widely known if it is indeed what happened.
> "We have now seen that even the rumor of someone working on a problem can trigger a massive amount of AI-powered effort to flatten it before the original research project has time to reach its full potential. The incentives may now be pointing in the direction of no longer sharing any promising research directions with the broader community, which would reverse centuries of traditions of open science and do serious long-term damage to the future of the field."
The number of weekly downloads has simply been increasing over time, due to growing popularity. Calling each new high "record-breaking" is a bit meaningless.
Unix timestamp counter breaks record after writing this comment.
Mistral is an interesting AI company because they clearly have a contrarian business strategy to the other AI labs. They're also landing big customers in Europe for the right reasons. People dump on them because they're not benchmaxxxing which is pretty shortsighted - do you really want to be in a benchmark arms race with China, or do you want to make money and deploy sovereign AI compute in Europe?
I think Meta's strategy is to capture the 'normie-tier' of AI users. I know most of us here on HN track model releases quite frequently and discuss every parameter weight out of them, but most of the world is just... oblivious?
I was discussing latest in tech with an accounting friend out of curiosity, and I kept talking about tiers of GPT-5.6 (Sol vs Terra vs Luna) and asked which one she used on the desktop 'Work' app, and she responded with, "just ChatGPT, what is Sol?."
I then realized that most people just stick with whatever default they're provided with, and it's a lot of them. So, us serial HN users and commenters are the extreme minority, and I'm sure millions of people will gobble up this Muse agent from Meta as if it's some sort of an innovative cutting-edge way to use the internet by Meta alone.
I have a hard time understanding, given the abundance of bad faith and predatory behavior Meta has displayed over entire span of its existence, why anyone would want to consult with its "personal AI" or grant it access to "all aspects of your life".
Buried under the drama is the fact that OpenAI is claiming that an internal model they’ve been training for less than two weeks is more than twice as capable in mathematics as Astra, which was only made public a week ago. Even if this improvement is limited to mathematics, that is an astounding feat.
- Tristan is suspicious of the timing, as only few others were trying this approach. OpenAI says the model didn't access his user data directly, but leaves unanswered whether Tristan's chat conversations were part of the training.
- OpenAI says they would partially credit Tristan for the $1,000,000 discovery (even though Tristan did not solve the $1,000,000 problem) — but only if they remove Levent as an author, as he works for Anthropic.
These two bullet points are extremely suspicious if you were honest. Like I'd imagine for OpenAI, they'd love to pump their chest and not even give Tristan credit - "no, we did it, GG mathematicians". It's this weird hedging half-assed measure, especially with the desire to remove Levent, that makes it suspicious.
It's pretty clear to be that governments shouldn't be able to 'subcontract' their way out of the limits placed on them via the constitution.
Thankfully the supreme court seems to agree here in two ways:
1) Just because a third party (Google in Chatrie case but Flock here) collects the data and the government requests it from them, doesn't mean that that isn't a 'search' which requires a warrant ("obtaining someone's cell-phone location history from Google constitutes a Fourth Amendment search.")
2) Delegating "searches" to a private party isn't permitted if they are acting as an "instrument or agent of the Government" (Skinner v. Railway Labor Executives’ Association (1989) - also cited in Chatrie).
In the Google case, users have a private relationship with Google where they elect to let Google track them and retain their information... but when the Police ask for that information it's a 'search' and requires a specific warrant.
In the Flock case the entire REASON the cameras are there is the the government (Police or local municipality) has contracted Flock to surveil the public. Asking flock for the whereabouts of a specific person seems like it should likewise require a warrant. That's inherently different than a crime being reported and then going to dig up a video from the area from Flock - which is different than seeing someone in that video and asking Flock to find every time they've been captured by any Flock camera anywhere... that would seem to be a 'search' and would require a warrant (which in this scenario would probably be easy to get).
The allegations of contamination (using Tristan and Levent's work) aren't very well evidenced, but this behavior by OpenAI (from the authors' statement) makes them seem like the bad guys:
> I said that if OpenAI released its result in the way proposed I would go
public with what happened. The reply was, “Why would you ruin your career?”
I replied that I am an academic, and asked why he thought going public would
ruin my career. The reply was, “If you don’t want me to be nice, then I don’t
have to be nice.”
Threatening a research mathematician and dangling and $1M payday to dissociate from his research collaborators and to adopt OpenAI's narrative is bad stuff.
Here are LG's contract terms for appliances.[1] They are awful.
Not only can they listen in. You have a contractual requirement to tell everyone in range of an appliance that they may be eavesdropped upon.
CONSENT REQUIREMENT: You acknowledge and agree that it is your sole responsibility to obtain all necessary consents from any third parties whose voices may be captured by the Product and to notify household members and guests that their voices may be captured and processed, in compliance with applicable wiretapping, eavesdropping, and privacy laws. If anyone does not consent, you should disable the microphone or voice features in the settings. LGE disclaims any liability for your failure to obtain such consent or provide such notification.
"Early in the history of Multivac, it had become apparent that there was one big bottleneck: the questioning procedure. Multivac could answer the problems of humanity, all the problems, if -- if it were asked meaningful questions. But as knowledge accumulated at an ever-faster rate, it became ever more difficult to locate those meaningful questions."
I'm not one to comment often but this really pisses me off.
OpenAI looked at user data, stole world class researchers' work, and then tried to threaten those researchers to do what would make their corporation profit (which they would anyways!).
Imagine you have been working on a terribly difficult math problem for a decade. This is a result you have spent years on, and what you will likely be remembered for. And to have some punk from OpenAI lie to you, threaten you, and tell you that they are willing to go on the record that you "deserved" it? What is this, the Godfather?
If OpenAI solved Navier-Stokes, that is an astounding result! - yet they'll still be remembered as those who thought credit was more important than results. That winning was more important than collaboration. If this is true, they're burning any trust left with academia.
When Apple is not racing for the frontier it's a strategy, but when it's Mistral it's a mistake.
The two companies have read the market the same.
It's always very dangerous for first movers and their investors, and the commodification of intelligence seems even more likely each time a chinese open model release. It's less exciting to do business that way, but if you're building to stand the test of time, it's wiser that way.
A wake up call for using OpenAI models. If you discover something with their model and you work for a competitor, they “felt it would be inappropriate” for you “to author OpenAI’s work”.
I look forward to seeing a lifehacking hyper-optimizer streamline this to a polished daily workflow...
"I have a bucket of mud, in which I stick my hands for 15 minutes every morning.
Every weekend, I inoculate at a 1:5:5 ratio with biologically active stream dirt (after petri-dishing to check for activity), and a mix of poor-quality soil cover, and some compost; I finish by adding a 10-10-10 balanced fertilizer.
Recently, I've been seeing if there are any additional benefits to smearing all over my arms; I'm conducting a 3 month/3 month comparison experiment, with a washout period in-between...
My favorite bit about this is how none of the execs want to take ownership of the change, but instead trying to put someone else in the hot seat and/or start a Committee.
This feels like an email that should have been blasted to the entire company. Top-down, empower employees to think of a more unified experience. Then again, all of the external jokes about Microsoft indicate that every department is fighting for their lives against the others, so that kind of kumbaya togetherness was never going to happen.
Let's face it. Claude (in particular) is a terrible writer. There's a whole cottage industry of skills and CLAUDE.md instructions trying to push it toward writing better, but each new model iteration seems expressly designed to override all that so that it can load up its writing with unnecessary participle phrases, not-this-but-thats, burying the lede, and other nonsense.
I genuinely wonder if the people inside Anthropic actually communicate with each other like that. Has it been imprinted with Dario's engrams?
> But the reality is that 75% of the people on our engineering team lost their jobs here yesterday because of the brutal impact AI has had on our business. [...]
> Traffic to our docs is down about 40% from early 2023 despite Tailwind being more popular than ever. The docs are the only way people find out about our commercial products, and without customers we can't afford to maintain the framework.
It's seriously good value for small websites. Basically, there is no cost aside from the domain. And for registering and managing domains, they are pretty much the most affordable option as well. And they have a few other things that aren't half bad to use with pretty generous freemium layers.
We used Google's CDN for the last six years or so but it's pretty annoying to deal with and you have to pay for a load balancer every month in order to properly use it. That adds up to quite a bit per year. Even if all you are doing is routing domains to some bucket with a website.
We migrated most of our gcloud stuff to Hetzner beginning of the year. That left a load balancer and a few static websites hosted in Google buckets. I migrated all of that to Cloudflare just a few months ago.
I still have a few buckets in gcloud proxied via a vm in hetzner with a proxied domain in Cloudflare. Not the most elegant route but it works. I might optimize some of that later. At this point, we pay for some Google buckets and not much else in gcloud.
Honestly, Google and AWS need to start paying attention to Cloudflare more. Their complexity is chasing people towards Cloudflare. The hoops you have to jump through with both of them to host a simple website with their CDNs is embarrassing. I've gone through the process with both of them. Although my experience with Route53 is a bit stale at this point. On Cloudflare, getting an new website up and running with a freshly registered domain takes only a few minutes.
As a long time plex user with a lifetime pass, I always enjoy seeing the good progress with Jellyfin as it will increasingly give me a soft landing for when Plex finally does something to make me move. At the very least it will hopefully keep some of plex’s most user hostile behavior in check.
As an aside, I recently started having Claude help me with configuring my *arr stack and it has helped tremendously. I used to have to babysit and manually intervene on maybe 10% of requests, now it’s near zero, plus I got audiobook requests and subtitles working great. Granted a big part of the increased success was signing up for a Usenet service but of course Claude was able to configure it all and make it work. I was a little worried Claude would demur in the face of the task, but it was more than happy to help me acquire media in this way
- Aug 15th: Tristan Buckmaster & Levent Alpöge make progress on a few important math problems, "finite-time blowup with smooth forcing for incompressible porous media, for Boussinesq, and for 3d incompressible Euler."
- they do NOT have a proof for the $1,000,000 Millenium Prize problem. BUT, they do claim to have a proof for a similar (non-Millenium) Navier Stokes problem that could help lead the way there
- Levent works at Anthropic, but this research was independent of his work there, with a mix of GPT and Claude models. Tristan is not related to Anthropic.
- Early Sep: Rumor spreads to OpenAI that Anthropic solved a major problem. Tristan emails OpenAI to clarify, without revealing the problem they solved or how they did it.
- After hearing of the rumor, OpenAI started researching Navier Stokes with a new internal model.
- Sep 6th: OpenAI's Sebastien Bubeck tells Tristan that they solved the $1,000,000 Millenium Prize Navier Stokes problem. The approach is very similar to Tristan & Levent's approach to the non-Millenium problem.
- Tristan is suspicious of the timing, as only few others were trying this approach. OpenAI says the model didn't access his user data directly, but leaves unanswered whether Tristan's chat conversations were part of the training.
- OpenAI says they would partially credit Tristan for the $1,000,000 discovery (even though Tristan did not solve the $1,000,000 problem) — but only if they remove Levent as an author, as he works for Anthropic.
- Sep 8th: Tristan refuses to remove Levent, and rushes to publish their results independently.