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I don’t quite understand what the argument is. Government does as a matter of fact operate on the frontier of new technology. (It’s how we got the web.) Why shouldn’t it, exactly? …

I haven’t looked at their docs in a little while but they were very precise in saying that the providers follow a zero data retention policy. But Opencode Go proxies the requests, …

Commoditizing AI models serves the interests of just about everybody except for a relative handful of people in San Francisco. The more decentralized control of the technology is, …

Yes. There is a big question mark about whether Anomaly itself (as the OpenCode Go middleman) retains data. The docs were completely silent on this the last time I checked.

Some US states have laws protecting employees’ political speech, so it would be illegal to terminate them and they would be entitled to sue.

If you think the public rejection of AI is weird, wait till you catch a whiff of the marketing! The future described by these AI labs isn’t like previous waves of technological pro…

A trademark dispute in isolation isn’t related. But as part of a broader course of conduct in which the pursuit of commercial advantage consistently trumps other values, it is. We …

> Isn't the harness basically where the frontier model companies can capture value and create a moat of sorts? They're trying. I see a few main avenues: 1. Fitting the models to th…

Let me try putting this in simpler terms: When someone says they are doing something to help you, but it really helps them, you have to choose if you trust what they say. One way t…

Direct and unrehearsed doesn't seem like the right tack for a high-stakes legal dispute between two (allegedly) trillion-dollar companies. Especially since they've not been able to…

That location was incredible in Nope !

Phones are communication devices. So I would always expect connectivity to be central to their use. But that's a different issue than the "inefficiency" of edge computation and whe…

> Apple also accuses Tang Tan of trying to get and use their trade secrets. However, Tang has always been clear with the team that we do not want, and must not use, any confidentia…

I suspect the economics favor centralized servers, if you only look at the aggregated cost to serve X number of users' tokens. But we could say the same thing about a lot of the co…

> Another interesting question is why the frontier labs are piling on pure maths The reason is that the original scaling axes (parameters, training tokens, test-time compute) have …

1. This is not “unrelated to AI safety”. The things they seek in the name of AI safety always seem to be aligned with the path that will eliminate competition and give them maximum…

I’m sorry, but this do-gooder concept doesn’t jibe with their other actions. For example, swindling their business partners (such as Figma). Filing an unnecessary trademark lawsuit…

Not the GP, but I run this model as daily driver too. It runs great on a Macbook Pro 64GB (M3 Max). Token generation speed can be about 100 tokens/sec with multi-token prediction, …

Apple Silicon. But: there's no need to use the FP16 version. At 8-bit precision the quality loss is almost imperceptible. That cuts the footprint to 36GB. Which is great for a 64GB…

Could they even afford 4B dense parameters touching every token? That seems like a LOT of compute compared to generating the classic Google SERP.

Well, my position is that the software that defines/runs the model is the open-source part. The weights are the asset that makes it useful, but I don’t think 40T tokens of pre-trai…

The LLM marketing loop is getting awfully long in the tooth. I saw a meme on Twitter the other day that showed a circular state diagram with something like: > “GPT solved a math pr…

> Roughly everyone can now benefit from its content. You mean, roughly everyone who uses that particular model provider’s products. For truly rare books, this has an anticompetitiv…