The Gen AIs are doing the search for people. So hopefully this forces google to switch their business model from manipulative ads against human users to just charging for API access for Gen AI models.

No, Google will just do "product placement" in the AI output.

P.S. Google's real problem is that their web search is absolutely atrocious and completely broken. Even Qwen is better at searching the web than Google's AI search box.

Apple tv was a miss as well for like 4 generations.

China, clean?? Some of the worst toilets, public or private, I've encountered in China. Can't say how Europe compares but I'd rank China a distant last amongst Australia, Vietnam, Japan, America, Canada, and South Korea (there's more countries to fit in there but I'm not going to list them all).

Yea i've been frequently, and maybe last year being the most recent. There's definitely been a revolution in development but in my opinion public toilets are probably the least revolutionized out of everything in China.

To be fair, closing the straight of hormuz has probably put a dent in carbon emissions.

Temporarily, all of the middle east oil infrastructure will be rebuilt because their biggest customer still has no real tangible plan to wean itself off.

China is their biggest customer

Is US the biggest customer?

Curious how this compares to Melange which is used by Ocaml shops as well to double up on Ocaml for both front and backend (ahrefs being the major user and sponsor). Does this mean giving up a lot of the JS ecosystem (React, graphql, etc)?

A good GraphQL server and client should be relatively straightforward to make in OCaml. Especially if you start from the premise that fragment spreads compose, rather than inherit.

Relay’s (second) compiler was prototyped in OCaml, but we ended up switching to Rust for the main rewrite in the belief that we’d be able to use the same runtime code across iOS, Android and JS environments.

Please somebody make a good OCaml GraphQL compiler, server, and client.

I've been using Resgraph, but it's based off Rescript, a fork of ocaml.

My understanding is that js_of_ocaml has been around longer and likely has a stronger ecosystem, but Melange was designed more specifically to play nice with the JS ecosystem.

This is the workflow that Vs Code Copilot does. All the AI generated code changes are in a git worktree and you can step through them all. This is what I missed after Claude forced third parties to start charging API pricing and now I have to use Claude directly and I have to do this same review process in a clunkier way via my git client.

Whew... reading just the title I thought this was about me having to write code by hand.

They've also been making things smaller. Some would argue that it's a cultural thing, but being poor also means you have to start adopting austere cultural habits as a coping mechanism.

There's shrinkflation for sure. Take Torikizoku for example. One plate = 280yen from 1985 until 2017. Now it's risen to 337yen while also reducing in size by 30%.

Yes but all the AI companies took all the public data, so when you pay for an AI model you are paying for the marginal service of building a model off that data, not for the data itself. What we should do is ensure that the data is available to more people to train AI models... but sadly this doesn't seem to be happening. Instead AI companies that were first-movers got to train off public data, and as the companies and businesses that own this data get wise they're going to start charging people to train off the data. This will make it much more difficult for anyone to train a model in the future as it will become expensive, and the companies that did happen to already train off public data will get a bit of incumbent's advantage.

I don't really buy this argument. When you buy a physical product, you are paying the entire product lifecycle, not just the marginal aspect of retail distribution. This is the same thing. The marginal inference has to come FROM somewhere. It doesn't just appear out of nowhere.

This is the same argument people were making about how stealing music was the same as stealing a physical product.

AI companies took public, private, and copyrighted data. Your position is that because these big companies stole so much we should let them get away with it by devaluing it further so everyone can ignore intellectual property law.

They already "stole" it. They aren't giving it back and they've established their valuations based off of that. If they start paying now, it's simply going to be impossible for any more upstarts to do this or even release open-weight models because everyone with data will become rent seekers. Imagine if they started off with rent-seekers, we'd simply not have the benefit of these models at all at this point.

> when you pay for an AI model you are paying for the marginal service of building a model off that data, not for the data itself

Well no, you're also paying them for having done the work to "acquire" that data. That acquisition arguably amounts to the greatest theft in history.

If I understand the correctly the initial models were done by scraping the internet off public data. They now probably pay for access, especially to companies that hold the data. Even in the latter case, the content creators probably don't see anything because they signed away their rights using whatever free service they uploaded their work / comment to. In hacker news' case I'm sure some bot is scraping my prose right now and training something with it, which I'm totally fine with because the act of trying to rent seek my 0.00001 cent of value in this post is not worth the detriment to AI advancement.

One the things I hate about Google is being forced to have location-aware search. I love how Kagi actually lets me override the country.

I would enjoy a world where this was much more configurable.