I am calling it now. LLM hosting is the new web hosting. You will have a market of hosting providers offering you access to LLM compatible hardware (the Hetzners of the LLM world) as well as virtualised LLM access (the Heroku of the LLM world). These will compete along pricing, ownership axes while frontier labs will compete mostly on performance, integration and ease of use (think Wordpress).
That's the only way I can see frontier labs charging high enough to sustain the cash flow needed to operate as racing to the bottom is not possible for them.
It is interesting to think whether this is another "Cambrian" era like the smartphone OSes when you had Symbian, Android, iOs, Windows Mobile and so many others competing.
This was inevitable. The better question is if AI related hardware costs drop after the AI bubble implodes, will Apple drop the prices? My answer is negative.
The economic reality is that none of the social media websites would pass the test without a significant hit to their profits. If you want to see the long-term economic projections of a social media website without the younger market see Facebook.
It's like asking tobacco companies to reduce the toxicity and addiction of their products, inevitable collapse.
The reality is that the business model itself is inherently toxic.
Those 2 browsers used a rendering engine developed by Google. It would not be wrong to consider them partial chromium reskins with all the technical dependency it entails.
I would guess because "so good" does not equate with 100% and presumably the user's needs fall in that 5%.
Linux has been usable for non proprietary software for decades now. The fact that people are refusing to jump ship even when Windows actively undermines them and itself speaks volumes of people's aversion (or inability) to switch OSes.
There is a difference between trying something and performing a test whose results are meant to be representative of most setups. A lot of people (in tech surprisingly) who see themselves as practitioners of applied science, apply flawed methodologies and try to generalise the results.
Just because testing is fast, it does not mean that it is free or cheap. Plus time is money and verifying every LLM setup every koolaid dev is proclaiming on bluesky could easily be a full time job.
Digital systems don't necessarily deteriorate immediately after the causal factors. Like technical debt, issues grow unnoticed and become visible gradually.
The personalised feeds is the whole point of their reason of being. No personalisation no profits. There just isn't a world where these huge companies can exist without personalised feeds. Meta platforms as well as YT would die and you would have instead something like Nebula which you pay for like Netflix but offers content creators content. Most people wouldn't pay for Nebula and so, you are back to the original point. People would put pressure to restore personalised feeds. Everyone supports these bans until they are the target of them.
This isn't a technological problem but a human one. The fundamental problem is that we haven't developed generalisable, scalable and profitable business models on the internet that aren't toxic.
What happens when you have a codebase made with claude using this setup and claude is down for let's say 8 hours? Are you able to efficiently, smoothly and productively take over the codebase?
> The evidence is the contrary. The tools are become more expensive by the month it seems.
Maybe, but compare the monthly cost of a ChatGPT subscription to the cost of a face to face CS education, the cost of a dev machine, the cost of spending your time building the software that you want. The subscription easily wins. And yes, yes, overtime the sub is more expensive but the point is that your average layman is not going to front five figure amounts in costs in something like this just like most people don't buy a gym's worth of fitness equipment, they instead go to their local gym and pay monthly. Now think of all the things LLMs cover even if unreliable and low quality and you can see why the fast-food/fast-fashion era of software is upon us. People won't be experiencing the software equivalent of Michelin rate restaurant food or wearing Gucci but they will certainly be having their needs met in a way that they didn't use to before.
The question is, will you want to run a model comparable to today's (meaning 2026) SOTA in 2028? Humans always want the latest shiny LLM model.