As of May 2024, Liang owned 84% of DeepSeek by means of two shell companies. Seb Krier: There are two varieties of technologists: those who get the implications of AGI and those who don't. The implications for enterprise AI strategies are profound: With decreased prices and open entry, enterprises now have another to costly proprietary models like OpenAI’s. That decision was definitely fruitful, and now the open-supply family of fashions, including DeepSeek Coder, Free DeepSeek Ai Chat LLM, DeepSeekMoE, Deepseek free-Coder-V1.5, DeepSeekMath, DeepSeek-VL, DeepSeek-V2, DeepSeek-Coder-V2, and DeepSeek-Prover-V1.5, may be utilized for many purposes and is democratizing the usage of generative fashions. If it will probably perform any activity a human can, purposes reliant on human enter might change into obsolete. Its psychology could be very human. I have no idea the best way to work with pure absolutists, who consider they are special, that the rules shouldn't apply to them, and always cry ‘you are trying to ban OSS’ when the OSS in question will not be only being targeted but being given a number of actively costly exceptions to the proposed guidelines that will apply to others, normally when the proposed rules would not even apply to them.

This particular week I won’t retry the arguments for why AGI (or ‘powerful AI’) could be a huge deal, but critically, it’s so weird that this is a query for people. And indeed, that’s my plan going ahead - if somebody repeatedly tells you they consider you evil and an enemy and out to destroy progress out of some religious zeal, and can see all of your arguments as troopers to that finish no matter what, you should believe them. Also a distinct (decidedly much less omnicidal) please speak into the microphone that I was the other aspect of here, which I believe is very illustrative of the mindset that not only is anticipating the results of technological modifications unimaginable, anyone trying to anticipate any consequences of AI and mitigate them prematurely should be a dastardly enemy of civilization searching for to argue for halting all AI progress. This ties in with the encounter I had on Twitter, with an argument that not only shouldn’t the particular person creating the change suppose about the consequences of that change or do anything about them, no one else ought to anticipate the change and attempt to do anything in advance about it, both. I wonder whether he would agree that one can usefully make the prediction that ‘Nvidia will go up.’ Or, if he’d say you can’t because it’s priced in…

To a level, I can sympathise: admitting these items will be risky because folks will misunderstand or misuse this data. It is nice that individuals are researching things like unlearning, and so on., for the purposes of (amongst different things) making it tougher to misuse open-supply models, but the default coverage assumption needs to be that every one such efforts will fail, or at best make it a bit more expensive to misuse such fashions. Miles Brundage: Open-supply AI is likely not sustainable in the long run as "safe for the world" (it lends itself to more and more extreme misuse). The whole 671B model is simply too highly effective for a single Pc; you’ll need a cluster of Nvidia H800 or H100 GPUs to run it comfortably. Correction 1/27/24 2:08pm ET: An earlier version of this story stated Free DeepSeek online has reportedly has a stockpile of 10,000 H100 Nvidia chips. Preventing AI pc chips and code from spreading to China evidently has not tamped the power of researchers and corporations located there to innovate. I believe that idea is also helpful, but it doesn't make the unique idea not useful - that is one of those instances where sure there are examples that make the unique distinction not helpful in context, that doesn’t mean it's best to throw it out.

What I did get out of it was a clear real instance to level to in the future, of the argument that one cannot anticipate consequences (good or dangerous!) of technological changes in any useful way. I mean, surely, nobody would be so silly as to actually catch the AI attempting to escape after which proceed to deploy it. Yet as Seb Krier notes, some folks act as if there’s some kind of inner censorship software in their brains that makes them unable to think about what AGI would truly mean, or alternatively they are careful by no means to talk of it. Some kind of reflexive recoil. Sometimes the LLMs can't fix a bug so I simply work round it or ask for random adjustments until it goes away. 36Kr: Recently, High-Flyer introduced its decision to venture into building LLMs. What does this mean for the future of labor? Whereas I did not see a single reply discussing tips on how to do the precise work. Alas, the universe doesn't grade on a curve, so ask yourself whether there may be a degree at which this may cease ending well.

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