291–300 of 1001 posts
Here's what is happening: Chinese resellers are offering Claude tokens at 70-90% below official Anthropic API prices. They achieve this by reselling capacity from pooled Claude Max accounts, payments fraud, and also reselling the model output & reasoning chains to various Chinese labs. They are subsidizing model access in exchange for user logs and reasoning traces, which they then sell as training data, allowing the…
This is great for competition! Chinese vendors offering a cheaper solution = what economics told me the free market was all about. I also learnt that Anthropic should get better at what they do if they want to compete. If not, somebody else will win. Or does this not apply to huge US corporations any more?
>This is great for competition! Chinese vendors offering a cheaper solution = what economics told me the free market was all about. Yeah, like all those Chinese bootleggers selling DVDs for a few dollars rather than $20. Free market! https://news.ycombinator.com/item?id=48664814
The hypocrisy of Anthropic complaining about "illicitly extracting its Claude AI model capabilities" and supporting the White House's accusation of China "stealing U.S. AI labs' intellectual property on an industrial scale" is hilarious. Anthropic, OpenAI, Google, Microsoft, et al trained their models by ignoring the rights of copyright holders when harvesting whatever content they could. Now one of them is crying fo…
This is great for competition! Chinese vendors offering a cheaper solution = what economics told me the free market was all about. I also learnt that Anthropic should get better at what they do if they want to compete. If not, somebody else will win. Or does this not apply to huge US corporations any more?
Do you also think Chinese selling counterfeit US postage stamps on eBay for 50% retail price (which is a major problem CBP and USPIS are fighting presently) is the free market at work? This post is so delusional and dripping with condescension I've read it three times and I still can't figure out if you're trolling or not.
Anthropic has been advocating openly for pulling up the drawbridge, ending competition and ending progress.
They will continue to lobby for restricting your access. If the Mythos/Fable restrictions would have come in after their IPO, they would have danced with joy aa this defacto has them achieve their goal after unloading the mountain of debt from the institutional onto the retail investor.
As it stands, they are set up to be aquired by Google, Apple, Amazon, SpaceX or Microsoft or any other 3 letter agency good boy for cheap.
I'm looking forward to the trial where Anthropic will have to disclose sources of their training data, and then explain why they are entitled to charging customers for using regurgitated training data but Alibaba which trains their models on Anthropic's models are not. Should be fun. Edit: clarification
They already did and paid 1.5B https://authorsguild.org/advocacy/artificial-intelligence/wh...
This is great for competition! Chinese vendors offering a cheaper solution = what economics told me the free market was all about. I also learnt that Anthropic should get better at what they do if they want to compete. If not, somebody else will win. Or does this not apply to huge US corporations any more?
I guess you missed the fraud part.
Distillation is fundamentally impossible to protect against. All you can do is slow them down. Change my view. Eventually these Chinese companies will release some extension like Honey, which will sit on top real, non-Chinese clients and send everything to China anyway. It's over.
Distilled models are necessarily behind so long as models are progressing. Models are progressing. Maybe it will be over some time in the future. And Berkeley’s “False Promise of Imitating Proprietary LLMs” found imitation closes the style gap fast but there is a large capability gap. https://arxiv.org/abs/2305.15717
There's two basic kinds of distillation: 1) the massive [and dumb] method where you ask a question and use the answer as reinforcement (Black Box), and 2) more targeted distillation where you use one model to directly inform/train/guide another model (RLAIF). The latter is basically fine-tuning the model with direction from another model. Thousands of businesses do this every day to fine-tune. This is almost certainl…