YetAnotherNick

Grass takes lots of water to grow.

Cows drinking isn't the major pie anyways. Cow feeding on Alfalfa which has been grown and irrigated with huge amount of water is the problem.

It has similar SWE bench score to qwen 3.6 27b[1]. No one is comparing it to frontier.

[1]: There is no other common benchmark in the blog.

Why don't they monitor average prompt and response token length(both cached and uncached) per interaction. Seems this could have solved all their previous unnoticed degradation.

Also bit surprised they don't have any automated quality check. They can run something like swe bench before each release. Both of these seem like a basic thing even for startup, let alone some product generating billions in revenue.

The site that he bought the crypto from to make a bet could trace it back to him, and many, if not all, crypto trading sites have shady ties with some governemnts around the world.

> I suspect that when things get really big, Google's systems will always be more cost-efficient.

In fact I am opposite of this hypothesis for two reasons. Google has artificially limited production. And because TSMC favours whoever could pay for the most capacity(as incremental capacity is very cheap for them). So Nvidia gets first slot for new process.

Also the second reason is that GCP's operating margin is very high compared to say Hetzner or lambdalabs and you can get GPUs much cheaper there compared to GCP. So students/small researchers are stuck on GPU.

WCAG is lot lot more than just using <dialog> and unless you do a thorough review with a professional in this field, <dialog> won't solve anything. Do you know how many other WCAG guidelines your app or your site misses. No one knows that.

Why do they need to sell to government around the world. I mean I highly doubt Europe governemnt is in the top 100 customer of any US lab.

Author took the most simple application and managed to make it so complex beyond belief. If he needed all this for 1 modal, I don't even want to imagine what would he had done if he had 10 different types of modal with 10 different rules as any half complex application has.

> We are only just now getting a taste of the “true cost” of these tokens

Why do you believe that? Better metric would be price per token of open models served by third party. Last I was tracking the price for similar level model was decreasing by more than 10x year on year, and they are 10-100x cheaper than top properietery models.

Sure you can say that you can't compare them but for sure you can compare the top properietery model of 6 months back to current open models and the gap in time seems to be constant.

Just because someone is running non profit they are expected to take 10% of their deserved salary?

OpenAI doesn't pay 1 developer higher salary than all the chess.com developers combined.

No it is not. Yes it could be for your average everyday developer but if someone can run site with millions of active users alone, there is no difference in salary based on where the developer stays. Does Mistral pays $100k salary to researchers?

Also power is not at all a limited resource as many top voted post on HN thinks it to be. Increased demand decreases the price of power not increases it in the long term.

And in any case ban doesn't make any sense. Instead they could charge different for grid electricity usage, and make the datacenter pay for grid expansion when they start building it.

I don't know if you ever worked on big tech? Everyone knows this through gossips, referrals, friends of friends etc. The hard part is to figure out how actionable this information is.

> information that can move markets.

That's the hardest part to figure out. Stocks aren't very correlated with anything. Slight changes in this quarter's iPhone sales in China doesn't move the share price very much if it is within range of expectation.

> Your average developer at Apple has no idea how many iPhones Apple sold in China.

But if anyone is connected to few friends across team, they would know they are hiring for China sales team(or dependent team like internal tooling for sales etc.) aggressively or firing them.

> The average rank and file employee at any BigTech company knows only a minuscule more than the general public.

They know the clients, the contracts, hiring, cost cutting way before the general public does. The problem is that many BigTech is sum of many units which might not be correlated, but for say Nvidia or Apple I would assume the employees would be a good people to take the stock advice from.

> 17% revenue growth

I think ads is going to massively change this number.

Firstly how is this related to opportunity costs. Secondly, no one said that to create digital computer you should start a war. It's just that war is already present, regardless of you invent digital computers or space travel.

I am reasonably sure that these kind of fingerprints can detect if the browser is inside a VM.

You can defeat all client side verification by definition if you know what verification is run.

The thing is if something is proved by checking million different cases automatically, it makes it hard to factor in learning for other proofs.

I think you are 2-4 orders of magnitude off if you think donation could be enough for a project as important as Android where 1 day delay in fixing security issue is just disasterous.

> But if a Brit comes to your country and buys cocaine from you, in person, you wouldn't expect to be convicted as a dealer in the UK.

No? All countries catch drug dealers from other countries all the time even for the crime that happened outside of their borders. Or do you really think El Chapo could vacation freely in Europe.

Even something as simple as docker pull fails for 0.02% of the time.

> Anyway, this isn’t the Olympics, a professional sport, or Chess.

Yes, its prize pool is order of magnitude higher than either of Olympics sports or Chess.

Allowing it to users who ask for erotic talk is in my opinion way better than forcing someone to watch shady ads based on private conversations.

I don't know why the people here are naive enough to think that. Most programmers can donate more than 70% of their income to Africa if they want to make world a better place, yet they only target people earning more than 3x of them, even though majority of the world earns less than 1/3rd of them.

For compute bound region(high batch size) yes, but for low batch size it could improve the throughput.

> Trying to go straight for the goal is risky.

That's the point of it. You need to take more risk for different approach. Same as what OpenAI did initially.