As of May 2024, Liang owned 84% of DeepSeek by two shell corporations. Seb Krier: There are two kinds of technologists: those who get the implications of AGI and those who do not. The implications for enterprise AI methods are profound: With reduced costs and open entry, enterprises now have an alternate to costly proprietary fashions like OpenAI’s. That decision was actually fruitful, and now the open-supply family of models, together with DeepSeek Coder, DeepSeek LLM, DeepSeekMoE, DeepSeek-Coder-V1.5, DeepSeekMath, DeepSeek-VL, DeepSeek r1-V2, DeepSeek-Coder-V2, and DeepSeek-Prover-V1.5, could be utilized for many purposes and is democratizing the usage of generative fashions. If it may possibly perform any activity a human can, purposes reliant on human input would possibly turn into obsolete. Its psychology could be very human. I don't know how you can work with pure absolutists, who believe they are special, that the rules mustn't apply to them, and consistently cry ‘you try to ban OSS’ when the OSS in question is not only being targeted but being given a number of actively expensive exceptions to the proposed rules that would apply to others, often when the proposed guidelines wouldn't even apply to them.

This explicit week I won’t retry the arguments for why AGI (or ‘powerful AI’) can be a huge deal, however critically, it’s so bizarre that it is a question for individuals. And certainly, 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 will see all of your arguments as soldiers to that end no matter what, it's best to believe them. Also a different (decidedly less omnicidal) please communicate into the microphone that I used to be the opposite side of here, which I think is highly illustrative of the mindset that not solely is anticipating the implications of technological changes inconceivable, anybody attempting to anticipate any consequences of AI and mitigate them in advance should be a dastardly enemy of civilization seeking to argue for halting all AI progress. This ties in with the encounter I had on Twitter, with an argument that not solely shouldn’t the person creating the change suppose about the consequences of that change or do something about them, nobody else ought to anticipate the change and attempt to do something upfront about it, either. 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 degree, I can sympathise: admitting this stuff will be dangerous as a result of individuals will misunderstand or misuse this knowledge. It is sweet that people are researching issues like unlearning, etc., for the purposes of (among other issues) making it harder to misuse open-source models, however the default policy assumption needs to be that every one such efforts will fail, or at greatest make it a bit costlier to misuse such fashions. Miles Brundage: Open-source AI is likely not sustainable in the long term as "safe for the world" (it lends itself to increasingly extreme misuse). The entire 671B mannequin is simply too powerful 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 mentioned DeepSeek 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 ability of researchers and companies located there to innovate. I think that idea can also be helpful, but it surely doesn't make the unique concept not helpful - this is a type of circumstances the place sure there are examples that make the original distinction not helpful in context, that doesn’t mean it is best to throw it out.

What I did get out of it was a clear real example to level to in the future, of the argument that one cannot anticipate consequences (good or bad!) of technological adjustments in any useful method. I mean, absolutely, nobody would be so stupid as to truly catch the AI making an attempt to escape after which continue to deploy it. Yet as Seb Krier notes, some individuals act as if there’s some type of inside censorship device in their brains that makes them unable to contemplate what AGI would truly imply, or alternatively they are careful never to speak of it. Some kind of reflexive recoil. Sometimes the LLMs cannot fix a bug so I simply work round it or ask for random modifications until it goes away. 36Kr: Recently, High-Flyer announced its determination to enterprise into constructing LLMs. What does this imply for the future of work? Whereas I didn't see a single reply discussing learn how to do the actual work. Alas, the universe does not grade on a curve, so ask your self whether there is a degree at which this could stop ending properly.

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