As of May 2024, Liang owned 84% of DeepSeek through two shell firms. Seb Krier: There are two forms of technologists: those who get the implications of AGI and those who do not. The implications for enterprise AI strategies are profound: With decreased prices and open access, enterprises now have an alternative to expensive proprietary models like OpenAI’s. That decision was certainly fruitful, and now the open-supply household of models, including DeepSeek Coder, DeepSeek LLM, DeepSeekMoE, DeepSeek-Coder-V1.5, DeepSeekMath, Free DeepSeek Chat-VL, DeepSeek-V2, Free DeepSeek-Coder-V2, and DeepSeek-Prover-V1.5, may be utilized for many functions and is democratizing the utilization of generative models. If it might perform any process a human can, applications reliant on human enter may change into obsolete. Its psychology may be very human. I do not know how one can work with pure absolutists, who imagine they are special, that the foundations shouldn't apply to them, and consistently cry ‘you are attempting to ban OSS’ when the OSS in query shouldn't be only being focused however being given multiple actively expensive exceptions to the proposed guidelines that will apply to others, usually 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’) can be an enormous deal, but seriously, it’s so bizarre that it is a query for people. And certainly, that’s my plan going forward - if someone 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 troopers to that end no matter what, you need to consider them. Also a unique (decidedly less omnicidal) please speak into the microphone that I used to be the other side of here, which I think is highly illustrative of the mindset that not solely is anticipating the results of technological changes inconceivable, anyone attempting to anticipate any consequences of AI and mitigate them upfront must be a dastardly enemy of civilization in search of 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 person creating the change suppose about the implications of that change or do anything about them, nobody else ought to anticipate the change and try 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 these things can be risky because individuals will misunderstand or misuse this knowledge. It is good that individuals are researching things like unlearning, and many others., for the purposes of (among other things) making it harder to misuse open-source models, but the default policy assumption must be that each one such efforts will fail, or at finest make it a bit costlier 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 excessive misuse). The whole 671B model is 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 model of this story mentioned DeepSeek has reportedly has a stockpile of 10,000 H100 Nvidia chips. Preventing AI computer chips and code from spreading to China evidently has not tamped the ability of researchers and firms located there to innovate. I believe that idea can also be helpful, nevertheless it doesn't make the original idea not useful - that is one of those circumstances the place yes there are examples that make the unique distinction not helpful in context, that doesn’t imply you must throw it out.

What I did get out of it was a transparent real instance to level to sooner or later, of the argument that one can't anticipate consequences (good or bad!) of technological modifications in any helpful approach. I imply, surely, no one could be so stupid as to truly catch the AI trying to escape and then proceed to deploy it. Yet as Seb Krier notes, some folks act as if there’s some form of inner censorship tool in their brains that makes them unable to think about what AGI would actually mean, or alternatively they are careful by no means to talk of it. Some kind of reflexive recoil. Sometimes the LLMs cannot fix a bug so I simply work around it or ask for random adjustments till it goes away. 36Kr: Recently, High-Flyer introduced its choice to enterprise into constructing LLMs. What does this imply for the future of work? Whereas I didn't see a single reply discussing the way to do the precise work. Alas, the universe doesn't grade on a curve, so ask your self whether there may be a degree at which this might cease ending effectively.

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