It is another thing the BigLabs accuse open weight models of benefiting from distillation & other techniques & essentially avoid higher training costs (which typically bleed into bills end users pay for inference).
Big labs ripped videos off YouTube without caring about the ToS, and grabbed as much published literature they could get their hands on, regardless of legality (Books3, The Pile). The goal of "democratizing human knowledge" by way of thinking machines is far too noble to worry about frivolities like copyright and authorial consent, they said. Until it was their output being exploited, and their earning potential threatened.
We just had years of US model providers arguing it was fine to rip off the world’s cultural output for their own profit, why should their work be treated any different?
True, but why would end users care about that? If anything, training on synthetic AI output is more ethical than on scraped human works (of course, not to say the Chinese labs aren't doing the latter)
no they 100% use MTP with a cheaper model alongside opus, and it would infact be unprovable if they just sometimes switched to auto-accepting everything from the MTP. its true that if they did anthropic would need to hide that they do this, so its probably not a huge deal
2. They are doing lots of shady stuff that would have gotten someone else banned from visa/mastercard. Your paid off plan literally changes after billing...
I think people are letting them fly for now, because if it turns out true that they'll have AGI they want to be on their good side? We might see the knifes getting pulled otherwise.
> This is an amazing amount of capability for pennies on the dollar.
True. I doubt how long OpenCode can subsidize $10/mo Go plan for. Its weekly and monthly limits already seem restrictive for some of the most capable models like Qwen 3.7 Max and GLM 5.1. That said, if the tasks are do-able by DeepSeek v4 Pro, Mimo 2.5 Pro, and Qwen 3.7 Plus, then it indeed is a super nice deal. I haven't too many complains other than the fact that these models sometimes require more/detailed instructions than Claude Sonnet / GPT 5.x did.
Despite the fairly similar cultural and financial incentives at play in Europe & South America, France and Spain (Portugal to an extent, as well) pretty much lead the footballing world in terms of elite talent. Their depth is ridiculous.
For Spain, correctly focusing on developing in-game intelligence and skill was key in out-competing stronger & taller teams (at a time when rapidly improving football pitches were proving great for playing positional & possession-based game): A very 1970s Dutch way of playing kick-started by Johan Cruyff in 1990s at Barcelona, and converted into concrete results for the national team by Luis Aragones & Vincente del Bosque in 2000s/2010s: https://thesefootballtimes.co/2018/05/11/the-revolution-that...
In your experience, is max worse or you suggest it for less token use?
> MiMo 2.5 Pro on the same OpenCode Go
Xiaomi dropped dropped MiMo 2.5 rates by 70%+ [0] & now it is cost competitive with DeepSeek v4 Pro. I haven't used MiMo, but since you have, do you find it to be better than DeepSeek v4? If so, for what tasks? How do you decide when to use which, if you have an intuition for it? Thanks.
> ...MiMo, but since you have, do you find it to be better than DeepSeek v4?
I didn't test MiMo 2.5 enough to form a veridict but from initial tests it is equivalent to DS4. But MiMo 2.5 (non Pro) has the advantage of having vision capability and MiMo is priced equaly as DeepSeek v4 in the $10/mo OpenCode Go now, after the discount you mentioned, see the yellow bars at https://opencode.ai/go
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