Switching models is too easy and the models are turning into commodities. They want to own your dev environment, which they can ultimately charge more when compared to access to their model.
I think the focus on OpenCode is distorting the story. If any tool tried to use the CC API instead of the regular API they’d block it.
Claude Code as a product doesn’t use their pay per call API, but they’ve never sold the Claude Code endpoint as a cheaper way to access their API without paying for the normal API
This is where EU needs to put its weight and at least in Europe - if you sell something but not willing to support - open source client, server and device all sorts of software.
Well. TBH for some maybe this is the wrong question to ask but I have been thinking where did those 250 billion tokens go? What tools/products/services came out of that?
This has been my biggest question through this whole AI craze. If AI is making everyone X% more productive, where is the proof? Shouldn't we expect to see new startups now able to compete with large enterprises? Shouldn't we be seeing new amazing apps? New features being added? Shouldn't bugs be a thing of the past? Shouldn't uptime be a solved problem by now?
I look around and everything seems to be... the same? Apart from the availability of these AI tools, what has meaningfully changed since 2020?
AI coding improved a lot over 2025. In early 2025 LLMs still struggled with counting. Now they are capable of tool calling so they can just use a calculator. Frankly, I'd say AI coding may as well have not existed before mid-2025. The output wasn't really that good. Sure you could generate code but couldn't rely on a coding agent to make 2 line edits to a 1000 line file.
I don't doubt that they have improved a lot this year, but the same claims were being made last year as well. And the year before that. I still haven't seen anything that proves to me that people are truly that much more productive. They certainly _feel_ more productive, though.
Hell, the GP spent more than $50,000 this year on API calls alone and the results are... what again? Where is the innovation? Where are the tools that wouldn't have been possible to build pre-ChatGPT?
I'm constantly reminded of the Feynman quote: "The first principle is that you must not fool yourself, and you are the easiest person to fool."
OK, but Gmail, Google Maps, Google Docs, and Google Search etc are ubiquitous. `Google' has even become a verb. Google might take a shotgun approach, but it certainly does create widely used products.
Anti-trust doesn’t have to involve force, but monopolistic behavior.
Google has spent over a decade advertising Chrome on all their properties and has an unlimited budget and active desire to keep Chrome competitive. Mozilla famously needs Google’s sponsorship to stay solvent. Apple maintains Safari to have no holes in their ecosystem.
Stop being silly defending trillion dollar companies that are actively making the internet worse, it’s not productive or funny.
I just blocked a fake Brian Cox one a couple of hours ago. There can be a certain time waste looking at the things before figuring they are rubbish.
Youtube should give you more options than just block or don't show me this. You should be able to click 'AI fake of real person' so they don't get inflicted on others unless they like that stuff.
I'm working on a short story that explores this!
Different organizations producing fake videos about a real person/event, to nudge you in their desired direction.
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