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Beware The Deepseek Scam

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작성자 Leah 작성일 25-02-16 10:28 조회 20 댓글 0

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beautiful-7305542_640.jpg As of May 2024, Liang owned 84% of DeepSeek by two shell firms. Seb Krier: There are two kinds of technologists: those who get the implications of AGI and those who don't. The implications for enterprise AI strategies are profound: With lowered prices and open access, enterprises now have an alternate to costly proprietary models like OpenAI’s. That decision was actually fruitful, and now the open-source household of fashions, together with DeepSeek Coder, Free DeepSeek Ai Chat LLM, DeepSeekMoE, DeepSeek-Coder-V1.5, DeepSeekMath, DeepSeek-VL, DeepSeek-V2, DeepSeek-Coder-V2, and DeepSeek-Prover-V1.5, might be utilized for a lot of purposes and is democratizing the usage of generative fashions. If it might probably carry out any job a human can, applications reliant on human input would possibly turn into out of date. Its psychology may be very human. I have no idea the way to work with pure absolutists, who imagine they are particular, that the foundations shouldn't apply to them, and constantly cry ‘you try to ban OSS’ when the OSS in question isn't solely being targeted but being given a number of actively pricey exceptions to the proposed rules that might apply to others, normally when the proposed rules wouldn't even apply to them.


This explicit week I won’t retry the arguments for why AGI (or ‘powerful AI’) could be a huge deal, but severely, it’s so weird that this can be 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 will see all of your arguments as soldiers to that finish no matter what, you need to believe them. Also a special (decidedly less omnicidal) please communicate into the microphone that I used to be the other aspect of here, which I think is highly illustrative of the mindset that not only is anticipating the results of technological changes impossible, anybody trying to anticipate any consequences of AI and mitigate them prematurely must be a dastardly enemy of civilization looking 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 person creating the change assume about the results of that change or do something about them, no one else ought to anticipate the change and attempt to do something in advance about it, both. I ponder whether he would agree that one can usefully make the prediction that ‘Nvidia will go up.’ Or, if he’d say you can’t as a result of it’s priced in…


To a degree, I can sympathise: admitting these items could be dangerous because people will misunderstand or misuse this data. It is good that people are researching issues like unlearning, etc., for the purposes of (amongst other things) making it tougher to misuse open-supply fashions, but the default policy assumption ought to be that each one such efforts will fail, or at best make it a bit costlier to misuse such fashions. Miles Brundage: Open-source AI is probably going not sustainable in the long term as "safe for the world" (it lends itself to increasingly extreme misuse). The complete 671B mannequin 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 stated 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 corporations located there to innovate. I think that concept can also be helpful, however it does not make the unique concept not useful - that is a type of cases where yes there are examples that make the unique distinction not useful in context, that doesn’t imply it is best to throw it out.


What I did get out of it was a clear actual instance to level to in the future, of the argument that one cannot anticipate consequences (good or unhealthy!) of technological adjustments in any helpful way. I mean, certainly, no one could be so stupid as to actually catch the AI attempting to flee after which proceed to deploy it. Yet as Seb Krier notes, some individuals act as if there’s some kind of inside censorship software of their brains that makes them unable to consider what AGI would actually mean, or alternatively they are cautious by no means to speak of it. Some kind of reflexive recoil. Sometimes the LLMs can't repair a bug so I just work around it or ask for random modifications till it goes away. 36Kr: Recently, High-Flyer announced its resolution to venture into building LLMs. What does this mean for the long run of labor? Whereas I did not see a single reply discussing the way to do the precise work. Alas, the universe does not grade on a curve, so ask yourself whether there may be a point at which this might stop ending effectively.



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