SilverSlash

In 2025, Hong Wang won the Fields Medal for proving the Kakeya conjecture in three dimensions. Here, OpenAI is claiming to have solved a stronger problem that proves the Kakeya conjecture in all dimensions!

That's so insane to me. This top mathematician (and colleagues) at her pinnacle spent years proving it in three dims and now OAI proves it in every dimension...

It really is the most misanthropic company, isn't it? But strategically is all this fearmongering about SWEs becoming obsolete even the right move for Anthropic?

Say that it is borderline true (it's not, but let's pretend). Then companies can lay off 90 devs for every 100, and buy the remaining 10 devs Claude subscriptions. Isn't it better if they keep all 100 and buy everyone a Claude sub?

So shouldn't Anthropic actually be pushing the narrative that Claude doesn't replace devs but actually makes them vastly better at their jobs and so every company, big and small, should buy every dev the highest tier Claude enterprise subscription?

I have been very critical of Gemini in the past but one thing that I've felt Gemini has always been best at is being the most empathetic model imo. It feels far less cold and emotionless than GPT and Claude.

And which papers do you typically referee? Without that information this claim is meaningless. For example, if you referee free-for-all papers that today are likely written by LLMs as well then sure I can understand that. But if you referee papers from grad students then that's more concerning.

Nope! I would happily go back to using something like the old orkut or facebook where it was mainly about people you knew or were acquainted with. Without all the insidious bad news spam and echo chamber groups probably run by hostile nation state agents.

In fact, I would gladly use something like that and even go out of my way to invite some old high school friends over despite having lost contact with them and being an introvert.

I dearly miss this internet and want it back. But I don't understand the letter. Is he going to build a new social network that is similar to the old Orkut/Facebook?

> There are plenty of published mathematical papers that are just as poorly written as OpenAI's. Nobody says nothing because the authors are big names.

Can you provide some evidence of this claim? "Nobody says nothing" probably works on reddit but I generally expect higher quality discourse on hackernews.

My personal issue with clicking the feedback is that I'm doing free RLHF for Anthropic without getting anything in return.

Just the intro section pretty much sums up perfectly my experience of using Astra (and prior AI models from OAI and Anthropic) for building large and semi-ambitious software. One step forward, two steps back.

The 512GB Ultra is amazing, sure. But who is it for exactly? VC funded big spender founders? In that case why would they need local AI? The ultra rich enthusiast? But there can't be too many of those. So who actually buys these?

Haha I immediately looked for this comment and wondered if the name was inspired by Anathem.

Yes it's interesting and I'm by no means certain how I will feel inside one either. But people are also highly adaptable so we'll see how it goes.

Edit: also this older concept image shows windows: https://www.jetzero.aero/hs-fs/hubfs/JetZero-Z4-left.png?wid...

I don't mind no windows at all if they have "digital windows" as substitutes. You're already 40,000ft in the air I think windows aren't really gonna help your claustrophobia. Not like you can open the door and walk out for a bit.

Yes, but open weights means you don't have to use their cloud providers. Someone in the US can host the model on their own infra.

I wonder if Anthropic just has better drafter models for speculative decoding and more efficient prompt caching in their agent harness.

Do you think the barbarians are at the gates of OpenAI and Anthropic? If cheaper, open weights models can seriously take revenue away from those two labs for (frontier - 1) model use cases (which are the models most enterprises will choose) then OpenAI and Anthropic are left only with users using their latest and greatest model AND who will keep upgrading to the newer ones?

Why will they have to raise prices eventually?

> Fwiw I find social media scores corny

I agree. We've had large and thriving online forums for at least a decade before upvote systems became ubiquitous and things were just fine.

Is that impressive? If an LLM is just spewing out code which it has been trained on extensively then to me it's not that impressive at all. I want to see individual developers creating new software which previously took a whole team. Things not done previously. I am very pro AI btw, but the constant barrage of false hype is really tiresome.

One place where fiber cables cannot reach would be... way up in the air. Think about how many people fly each day and then remember how poor internet connectivity and speeds are at 40,000 ft.

So Starlink in flights seems like a perfect fit.

This was such a great read! Thank you! Too bad Oven Inc never got more headcount. Otherwise the engineers could've had a day hackathon week while the managers and founder went to a retreat for a strategy offsite.

Nah, it's a guy named Matt Deitke and he was 24 at the time.

So have they just given up on llama then? What happened to the 25 year old Zuck paid $250M for?

This is extremely misleading and not very useful. It makes little sense to use pricing per GB during decades when RAM was at most in MBs. In that case, why not talk about price per TB or PB? Then the line will look pretty much flat and horizontal.

I can definitely relate. My brain also wants to take the path of least effort now, even for simple things like adding two numbers which I could do very quickly in my head in my college days.

And with AI the path of least (initial) effort seems to be to just ask the model to solve it. It might get it wrong and then I'll prompt it again and again. But each individual prompt is fairly low effort on my part. Whereas coming up with the right solution myself might've taken less time but the initial effort is a lot more.

Last year I used to romanticize about building at least 1 thing each month completely by hand without any LLM coding help. The last such project I worked on was 6 months ago so sadly it's not going so well.

> Difference is, humans learn from their mistakes.

Great! So next time the human will prompt the agent to watch out for and avoid this bug.

lol the new "swiss banks". store all your dirty data in digital swiss lockers

damn! then what's happens at the EU where the "goals of the organization" are themselves to increase and champion bureaucracy?

they already firmly in irrelevant territory

Very good. Just look at Gemma 4.