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Social media is a tool for perpetuating monothought

Social Media creates distinctive Filter Bubbles. A dominant LLM company (or multiple aligned ones) create one way of thinking.

The difference in quality and performance between Tesla and the EVs from Hyundai, Toyota, Kia, and Nissan is closing fast. Tesla is stuck with marginal innovation and has to pull stunts like the Tesla Diner just to stay relevant in the news cycle.

BYD is bringing their EVs to Canada, including models starting at $20k, $55k less than the Model S:

https://cardog.app/blog/byd-canada-full-lineup

The only reason Tesla is still in business is American protectionism.


That article don’t provide any proof for which models are sent to Canada. It just lists all their models.

not to mention that they run out battery fast and cant really lift much.

It’s in the trust

Using Xiaomi’s mimo pro on openrouter via hermes agent

Apple should compete with Google workplace or at the very least at least offer custom domain e-mail inboxes.


Custom domains (BYO or buy through Apple) and email hosting is in the announcement, too.

Lots of isolated firecracker instances for openclaw like agents.


OpenAI doesnt have a single model in top 10 models being used on openrouter.ai

Thats a weekly metric on https://openrouter.ai/rankings flagship chatgpt 5.2 model is at #16

PMF is now evolving when competitor models are either smarter or cheaper.


I hadn't heard of openrouter.ai. I have heard of OpenAI.

Is this like Windows and MacOS not being in the top 10 of distrowatch.com?


OpenRouter is the leading place to go to to get general purpose models of all sorts. It's fairly popular, and processes tens of trillions of tokens a year.


I think the primary issue is that the metric is tokens and not dollars spent.


OpenRouter is valued at >$500m and processes >$100m/year, 5% of which goes to them. Not that large compared to e.g. OpenAI, but it's the largest that doesn't produce its own models & with the largest selection I'm aware of.


The number of tokens seen per model on OpenRouter is not a good measure of quality.

There are so many plausible explanations for why a particular model is or is not ranked in the top 10 by this metric.

Maybe people using OpenAI models are so happy that they don't care about other models and have no need for OpenRouter. Maybe OpenAI models produce fewer tokens, or are more expensive per token.

Your conclusion might be correct, but citing the number of tokens seen by OpenRouter is not very strong evidence.


If ChatGPT 5.2 were actually superior, developers wouldn't be overwhelmingly routing traffic to Gemini 3.1 Pro just 6 days after release.

I use openrouter.ai as the benchmark because it's the foundational API layer for innovator apps that are always the quickest to adopt new tech.


ChatGPT has 100x more interest on google trends than Gemini and OpenRouter combined, which in the context of this article is a much more relevant "popularity score".

But I don't think either are very meaningful when there are actual benchmarks to measure the quality of models on specific tasks.


OpenAI, frankly, benefits from the "nobody ever got fired for buying IBM" phenomenon.

And there's a reason that OpenRouter has an OpenAI compatible layer highlighted not deep in docs, but on their Quickstart page: https://openrouter.ai/docs/quickstart#using-the-openai-sdk

The number of projects accessing OpenAI directly, who might only reach for OpenRouter once an alternative is desired, is unknowable (since OpenAI doesn't share usage statistics), but likely meaningful.


Well also because OpenRouter launched when OpenAI’s api was the only real game in town.


Could also just be a bias in the audience


Please have a hosted solution which connects with Github apps and ingests existing github repo.


I am having some difficulties with it where it kept getting stuck on earlier chat and had to delete previous msgs on openrouter for it to continue. It surprised me with its technical stack understanding of complex startups and business understanding. whereas Claude looks up too much from web and then thinks and possibly gets influenced too much on whats there on web.


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