How Deepseek Ai News Made Me A greater Salesperson
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작성자 Kaylene Henders… 작성일25-03-03 20:02 조회2회 댓글0건본문
There was a panel on journalism and a small follow-up dialogue about dealing with journalists. There were many takeaways from my sport, however three stand out. There have been two games performed. Early on, the OpenAI player (out of character) accused me of taking part in my function as "more misaligned to make it more interesting," which was very humorous, especially since that player did not know how aligned I is likely to be (they did not see the table or my result). The company was finally pressured to restrict signups to those with mainland China phone numbers-but claimed the transfer was the results of "large-scale malicious attacks" on its services. Most attention went to geopolitics (US vs China dynamics). I didn’t pay more attention to alignment, as a result of I didn’t suppose my character would have performed so. By making advanced AI fashions more accessible, it helps democratize technology for world analysis, enterprise functions, and unbiased developers. As we mentioned earlier, the elemental question that needs to get resolved by some mixture of these suits is whether or not training AI models is or is not honest use.
But unlike OpenAI’s o1, DeepSeek’s R1 is free to use and open weight, which means anyone can examine and duplicate how it was made. Deepseek is open source and you'll access the DeepSeek-V3 model at no cost which is probably one of the the reason why it’s had such a fast rise, as a result of it’s successfully opening highly effective AI to all. At one point we tried to go to the President with alignment issues, however she (enjoying Trump) was distracted with geopolitics and didn’t respond, which is the sort of fun realism you get in a wargame. I used to be assigned the role of OpenAI, basically function taking part in Sam Altman and what I believed he would do, since I presumed by then he’d be in full management of OpenAI, until he lost a energy battle over the newly combined US AI undertaking (within the type of a die roll) and I was out of the blue function taking part in Elon Musk. I highly suggest enjoying it (or different variations, comparable to Intelligence Rising) to anybody who will get the opportunity, and am very curious to look at more skilled people (as in NatSec types) play. Ultimately, we had a great ending, however solely as a result of the AIs initial alignment die roll turned out to be aligned to virtually ‘CEV by default’ (technically ‘true morality,’ extra particulars below).
However the situation may have nonetheless gone badly regardless of the nice conditions, so not less than that different part labored out. The code structure remains to be undergoing heavy refactoring, and that i must work out learn how to get the AIs to understand the structure of the conversation higher (I think that at the moment they're tripping over the fact that all AI messages within the historical past are tagged as "role": "assistant", and they need to as an alternative have their very own messages tagged that means and other bots' messages tagged as "consumer"). Jan Kulveit: Over the weekend, I was at @TheCurveConf. Here’s Jan Kulveit, who played the AIs in our outside copy of the sport, together with his summary of what occurred on Earth-1 (since obviously one’s own version is all the time Earth-1, and Anton’s is subsequently Earth-2). Anton performed the role of the AIs in the other game, and experiences here. A game the place the automated moral reasoning led to some horrible final result and the AIs have been at least moderately strategic would have ended the same. If the AIs had been by default (after some alignment efforts however not extraordinary efforts) misaligned, which I imagine is far more likely in such a scenario, things would have ended badly a method or one other.
It appears ‘real journalists’ have very completely different ideas of their obligations than I, by implication not a ‘real journalist,’ assume we should have, especially our obligations to sources and subjects. The MMLU consists of about 16,000 a number of-alternative questions spanning 57 tutorial topics including arithmetic, philosophy, regulation, and drugs. The exceptional reality is that DeepSeek-R1, regardless of being much more economical, performs almost as properly if not higher than other state-of-the-art systems, including OpenAI’s "o1-1217" system. DeepSeek Ai Chat-Coder-7b outperforms the much bigger CodeLlama-34B (see right here (opens in a new tab)). I was told that the one time people sort of like that did play, it was relatively hopeful in key ways, and I’d like to see if that replicates. The Italian privateness regulator has simply launched an investigation into DeepSeek online, to see if the European Union’s General Data Protection Regulation (GDPR) is respected. DeepSeek, the AI offshoot of Chinese quantitative hedge fund High-Flyer Capital Management, has formally launched its newest mannequin, DeepSeek-V2.5, an enhanced version that integrates the capabilities of its predecessors, DeepSeek-V2-0628 and DeepSeek-Coder-V2-0724.
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