Oh no! The company that both stole all it's training data and claims to want to build the most ethically oriented machine cares whether other humans are using it to do their own thing!
It kinda seems like Anthropic and the trump administration are doing some bizarre kabuki theatre.
Neither Anthropic nor anyone in the Trump administration can hold a candle to kabuki theatre.
(I know that's not what you meant, but still! Art, the LLM and the Trump admin cannot.)
Anyway yeah this is beyond absurd of them to fuss about this. Oh no, the thieves that stole from checks notes basically everbody have been robbed of the stolen goods and nooow they care about copyright, huh, how shocking. I'm sure they'll settle all their court cases with artists and admit fault now, right? ...right?
The stock market rewarded SpaceX with a record breaking IPO valuation for promises that it would too offer a thing that could be reverse engineered with just 25k accounts. Possibly in space. The stock market doesn’t care.
I don’t know much about the ins and outs of LLMs, but if something can be reversed engineered that quickly. What exactly is the large moat that makes them worth 1trillion?
Competition is supposed to be the safety net of capitalism that ensures high quality and low prices. Distillation is not illegal. They're just using the LLM in a lawful way. So yes we all should thank the capitalist Chinese labs for helping the consumer in a win-win fashion.
This military strategy talk is not interesting to anyone other than Anthropic AI researchers who decide to work there.
Ex-product manager in the SF Bay. Retooling as a product engineer/ product builder because I can build and tinker confidently with LLM assistance, and I want to reduce my dependencies.
So I’m:
* prioritizing local Qwen codegen so I can cancel my OpenAI subscription.
* watching CS lectures and learning the fundamentals from the ground up.
Maybe it’s the long-term unemployment talking, but I think the open-model strategy is winning and will continue to win. The recent stories about AI budgets are just the beginning. Wait until executives realize that the advertised “$X.XX per million tokens” is only part of the bill. Context windows, system prompts, conversation history, RAG, tool calls, and orchestration all add up.
Cost-conscious companies will have a strong incentive to hire engineers who can run, customize, and maintain open models rather than paying indefinitely for closed APIs.
Whatever you thoughts on the ethics of the original training, are you comfortable with innovation drying up? Can’t make new models if revenue isn’t coming in.
It is too late, the Qwen 3.7 Max is above both Gemini 3.1 and Opus 4.8. And Qwen 3.7 Plus is on level with Fable. There is literally no point of paying exorbitant API prices to US Labs.
And remember: it's not only about coding. Those "selected US companies" to gain access to Mythos now are not using it to replace coders. And Qwen is a solid answer. (The next is GLM 5.2, but not there yet - Qwen 3.7 made a significant leap forward.)
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[ 2.4 ms ] story [ 45.4 ms ] threadIt kinda seems like Anthropic and the trump administration are doing some bizarre kabuki theatre.
(I know that's not what you meant, but still! Art, the LLM and the Trump admin cannot.)
Anyway yeah this is beyond absurd of them to fuss about this. Oh no, the thieves that stole from checks notes basically everbody have been robbed of the stolen goods and nooow they care about copyright, huh, how shocking. I'm sure they'll settle all their court cases with artists and admit fault now, right? ...right?
Yeah no, fuck 'em.
don’t let the stock market hear that.
Do they care what we want? Im happy that China is copying the models and make them available for everyone, with 1/10 of it's price.
This military strategy talk is not interesting to anyone other than Anthropic AI researchers who decide to work there.
Ex-product manager in the SF Bay. Retooling as a product engineer/ product builder because I can build and tinker confidently with LLM assistance, and I want to reduce my dependencies.
So I’m:
* prioritizing local Qwen codegen so I can cancel my OpenAI subscription. * watching CS lectures and learning the fundamentals from the ground up.
Maybe it’s the long-term unemployment talking, but I think the open-model strategy is winning and will continue to win. The recent stories about AI budgets are just the beginning. Wait until executives realize that the advertised “$X.XX per million tokens” is only part of the bill. Context windows, system prompts, conversation history, RAG, tool calls, and orchestration all add up.
Cost-conscious companies will have a strong incentive to hire engineers who can run, customize, and maintain open models rather than paying indefinitely for closed APIs.
https://knowyourmeme.com/memes/oh-no-anyway
And remember: it's not only about coding. Those "selected US companies" to gain access to Mythos now are not using it to replace coders. And Qwen is a solid answer. (The next is GLM 5.2, but not there yet - Qwen 3.7 made a significant leap forward.)