First impression: Third-party benchmarks or gtfo. Personally, I've never heard of either of these companies before. We're just supposed to take their word that they've matched the best models on the market? Sakana describes their model as a "Orchestration Model." Does that mean that it's actually a bunch of different models glued together?
Did Anthropic give you third-party benchmarks? Is that what you said to them? Yes, they're important, but the attitude is wrong.
Asian AI startups launch Mythos-like models
41–50 of 211 posts
Re: Asian AI startups launch Mythos-like models
#42Feels like I need to repeat myself more than once a day now: https://news.ycombinator.com/item?id=48697258 > These companies providing tokens, whether SOTA or not, that want to IPO are so fucked as time goes on. >Can't sell their SOTA models, only slightly better than the open source models for the models they can sell, cost 20x to 50x for good models, a TAM that consists almost solely of developers, with no customer…
> a TAM that consists almost solely of developers That’s the wrong assumption. These models are good at office docs too.
Find me someone who is putting raw text in and getting out a usable weekly staff meeting deck that doesn’t require massive revisions
Re: Asian AI startups launch Mythos-like models
#43First impression: Third-party benchmarks or gtfo. Personally, I've never heard of either of these companies before. We're just supposed to take their word that they've matched the best models on the market? Sakana describes their model as a "Orchestration Model." Does that mean that it's actually a bunch of different models glued together?
Re: Asian AI startups launch Mythos-like models
#44Earlier quoted context omitted.
Did Anthropic give you third-party benchmarks? Is that what you said to them? Yes, they're important, but the attitude is wrong.
Anthropic always publishes 3p benchmarks every time they announce a new model
Re: Asian AI startups launch Mythos-like models
#45First impression: Third-party benchmarks or gtfo. Personally, I've never heard of either of these companies before. We're just supposed to take their word that they've matched the best models on the market? Sakana describes their model as a "Orchestration Model." Does that mean that it's actually a bunch of different models glued together?
Is it actually that hard to make good models or is it just about the amount of resources you have to do training? (This is an actual question, I really don't know.) I'm sure it's not trivial but does it really take world class secret knowledge to build off of the known existing techniques? I feel like there's tons of low hanging fruit still to explore, and time and resources are the limiting factor.
Re: Asian AI startups launch Mythos-like models
#46Earlier quoted context omitted.
It is not. Where's the danger ? We will need to adapt, as in every technology progress, but what do you think will happen ? Realistically ? Don't feed the fearmongering. Yes, we're disrupting the status quo, if that's the danger, then welcome to the world.
Actually the real danger is mass labor market disruption, and a massive shift of power from labour to capital. As was highlighted in previous discussions, the industrial revolution took 80 years to start benefiting workers. The continued impact of automation at least contributed to the rise of right wing extremism and an erosion of democracy all over the west. Now we face a development that has the potential to be fa…
Come on. This is dishonesty and isn't the reality. We may agree that the Industrial Revolution may have taken decades (certainly not 80 years) for its benefits to be *clearly and widely* felt by workers, but anything further is an abusive claim. So what, because the progress doesn't benefit to workers instantly, we shouldn't do it ?
In the end, whatever your position, industrialization eventually raised living standards. So what's wrong with that ?
> The continued impact of automation at least contributed to the rise of right wing extremism and an erosion of democracy all over the west
This is oversimplifying and correlation at the best, not causation
Re: Asian AI startups launch Mythos-like models
#47Feels like I need to repeat myself more than once a day now: https://news.ycombinator.com/item?id=48697258 > These companies providing tokens, whether SOTA or not, that want to IPO are so fucked as time goes on. >Can't sell their SOTA models, only slightly better than the open source models for the models they can sell, cost 20x to 50x for good models, a TAM that consists almost solely of developers, with no customer…
Now, that probably doesn't justify the valuations and hype being thrown around, but I think it gets at a real revenue number.
I also don't know how that number fits into the funding rounds already raised and VC dreams of IPOs for these two.
This isn't coming from deep analysis on a verifiable source, but I started asking people in my social circle (includes white-collar and blue-collar folks) about their LLM use. The biggest surprise in 2026 for me was that almost all of these people told me about regular (and sometimes sophisticated) use.
A more intriguing observation - I work on the side with high school students and have two college kids of my own. Their LLM usage (and their peers) is much, much lower than expected . . . that's a little counterintuitive given "popular" perceptions I read.
Re: Asian AI startups launch Mythos-like models
#48First impression: Third-party benchmarks or gtfo. Personally, I've never heard of either of these companies before. We're just supposed to take their word that they've matched the best models on the market? Sakana describes their model as a "Orchestration Model." Does that mean that it's actually a bunch of different models glued together?
Re: Asian AI startups launch Mythos-like models
#49First impression: Third-party benchmarks or gtfo. Personally, I've never heard of either of these companies before. We're just supposed to take their word that they've matched the best models on the market? Sakana describes their model as a "Orchestration Model." Does that mean that it's actually a bunch of different models glued together?
Is it actually that hard to make good models or is it just about the amount of resources you have to do training? (This is an actual question, I really don't know.) I'm sure it's not trivial but does it really take world class secret knowledge to build off of the known existing techniques? I feel like there's tons of low hanging fruit still to explore, and time and resources are the limiting factor.
Re: Asian AI startups launch Mythos-like models
#50[flagged]
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I'm sympathetic to this arguement, but it's silly to ignore the other half; that the administration has openly feuding with them for months over limits to military capabilities.
https://www.politico.com/news/2026/06/04/hegseth-anthropic-d...