Anyone who has some experience with native apis knows that a standard library should never rely on unstable apis. Ntdll is not "stable" as in Microsoft can change it at any time since they expect anyone to use kernel32. It's questionable that they referenced a random book on this top claiming that ntdll is more performant than kernel32 which is doubtful. There are some specific cases where this is true (the ntfs stuff), but, in general, it's not, at least not in a significant matter. A standard library should never do this, it might break binaries for no reason, other than making a cool blog post. I, as a developer, can choose to use ntfs, but a standard library should never.
So the author is in a clear conflict of interest with the contents of the blog because he's an employee of Anthropic. But regarding this "blog", showing the graph where OpenAI compares "frontier" models and shows gpt-4o vs o3-high is just disingenuous, o1 vs o3 would have been a closer fight between "frontier" models. Also today I learned that there are people paid to benchmark AI models in terms of how close they are to "human" level, apparently even "expert" level whatever that means. I'm not a LLM hater by any means, but I can confidently say that they aren't experts in any fields.
This will only be targeted in US, no? I doubt it's GDPR compliant and won't probably buyers outside of US. If it's $3500, then in Europe, it will be around $5000.
https://news.ycombinator.com/item?id=25997506 https://github.com/golang/go/issues/68678