131–140 of 393 posts
I’ve been using DeepSeek v4 pro for a month now in Kilo Code and its great. Fast, reliable, large context window and cheap as… Did 1,5B tokens this month and cost me 40usd (majority cached, but still).
It's drastically reduced my AI spend. I went from spending $40/day to $10/day.
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Chinese labs are also still behind, so they’re incentivized to collaborate and have no reason to do it in private. I suspect their tune will change if they ever take the lead..
Not everyone is motivated by greed
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Probably because American AI companies are on the hook for quite a lot of investment money. I think they are trying to find the magical moat to justify their valuation. Revealing optimizations similar to these would pretty much reduce their competitive position.
Who is financing DeepSeek and what are they expecting in return?
Which will likely help them bolster the sales of the MANY new AI chips in development/use in China to international markets. Dislodging Nvidia.
Kinda the opposite of what Jensen Huang (Nvidia) thinks US is doing: https://www.youtube.com/shorts/u3SY8nvjhQA
Edit: I'm a fan of deepseek and believe it's good to make the technology open/available. And do think that also help business - which I support as well.
Edit 2: No idea why I'm getting downvoted. That's also their official stance https://english.www.gov.cn/news/202601/08/content_WS695f1b55...
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If your moat is “please don’t copy my outputs”, you don’t have a moat. There is no such thing as a distillation “attack”.
How does it differ from pirating music or movies?
(and if you argue the US models do produce copyrighted works, then oooops - whose copyright is it huh?)
DeepSeek continues to not only push the boundaries but also publish these incredible papers explaining how they achieved their gains - something the American labs no longer do unfortunately. Chinese labs are doing the most interesting work in AI right now.
Sure, in part by "stealing" from American AI companies with Distillation attacks: https://yipzap.com/anthropic-accuses-alibaba-of-largest-ai-d...
DeepSeek continues to not only push the boundaries but also publish these incredible papers explaining how they achieved their gains - something the American labs no longer do unfortunately. Chinese labs are doing the most interesting work in AI right now.
Yep. It's about time western world realized Chinese are not the "very bad guys under dictatorship"
DeepSeek continues to not only push the boundaries but also publish these incredible papers explaining how they achieved their gains - something the American labs no longer do unfortunately. Chinese labs are doing the most interesting work in AI right now.
Its because our culture worships pieces of paper the government tells us is worth something.
This is just one of many papers DeepSeek have released to be able to serve models at extremely cheap prices, unlike the others taking on >$100B+ of debt in building data centers for the same thing. > As with V4-Flash, we treat this point as an indication that DSpark sustains useful throughput under an interactivity target that the baseline cannot efficiently support. At matched system capacities, DSpark delivers 57%…
The last year has shown that’s not true anymore (even for web servers).