So you’re telling me, these people have workflows thats so tightly integrated to gemini-2.5-flash that no other model matches it’s performance? Really?
Have they really looked at all alternatives and found none to be a viable option?
I might have underestimated how good 2.5-flash was. I understand the issue with pricing though.
This is why I believe, for a company, to never be reliant on closed-weight models.
Java 27 already? I just learned about Java 26. But I’m not complaining, the JEPs that is getting introduced on every release are quite exciting features. I highly recommend following the Java official YouTube channel, they publish entertaining, yet informative videos/shorts about tips/tricks/features.
What a fun article to read. This is such a cool showcase of the languages capabilities and standard library that comes with it. There is a gem named ”Ronin”, which is supposed to cover cases like this. But in your case, it doesn’t seem to be needed anyways.
That’s the point I think. Remember the controversy when Github Copilot came out? Not because where it got its data from, but because people didn’t feel like they wrote code anymore, they just tabbed the autocompleted snippets and was finished with a task in much shorter time.
No way, is Orion Browser available on other platforms as well now? Does it mean I can finally do tests for Safari (webkit) without owning an Apple product or paying for a vm? Incredible.
Sure, but I think doing it this way allows them to later on say they were transparent about it. Completely hiding this would make it very difficult for them excuse when getting caught.
> There were some tests last year-ish from hf that showed that simply alternating (randomly) between claude and gpt (whatever their versions were at the time) on a task produced better results than either of them individually. So during a task, the first call was sent to one, then the other and so on.
I seriously do not comprehend how a consumer like you can have sympathy for Anthropic, as if you are part of their organisation or something. Competition is good for us. Wouldn't it have been for asian labs, we would would be fully dependent on OpenAI, Anthropic and Googles services.
I learned about this today because one HNer linked to this post, otherwise I wouldn't have noticed it. Can I just say, what a horrible title. This is probably why I didn't notice it, because it doesn't tell me anything. At least mention its some sort of a new Agent that coordinates mutliple models and acts as one, which achieves impressive scores, I don't know, something at least. Not just saying "Sakana Fugu". That's so vague. Is being mysterious supposed to catch more attention?
> DeepSeek is, as I feel currently, the sole AI company which is actually trying to innovate rather than top mere benchmarks.
I'd also include the other Chinese labs like Moonshot (behind Kimi) and Z.ai (behind GLM). They are innovating and continue openly sharing their research to the public. I believe the founder of Moonshot even shared 40 minute video on Twitter where he goes through techniques that powers Kimi.
Have they really looked at all alternatives and found none to be a viable option?
I might have underestimated how good 2.5-flash was. I understand the issue with pricing though.
This is why I believe, for a company, to never be reliant on closed-weight models.