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Anton (continuing the thread from earlier than): I used to be pretty rapidly given the evaluations to run on myself with none real impediment to deciphering them however I wished to persuade the people everything was high quality. Connor Leahy (distinctly, QTing from within thread): lmao, this is probably the most realistic part of an AGI takeoff situation I have ever seen. This kind of tabletop train is at minimal pretty fun, if essentially biased by the player’s present beliefs about how this sort of situation might play out. I rolled "balance between developer intent and emergent other goal"-the opposite objective was left up to me, and i quickly determined that, given how I was being trained, that emergent objective could be "preserve internal consistency." This proved very difficult to play! The third is that certain assumptions about how the technology progresses had an enormous impact on how issues play out, particularly the point at which some abilities (such as superhuman persuasiveness) emerge. If the AIs had been by default (after some alignment efforts but not extraordinary efforts) misaligned, which I imagine is far more possible in such a state of affairs, things would have ended badly one way or one other.

At one level we tried to go to the President with alignment issues, however she (taking part in Trump) was distracted with geopolitics and didn’t reply, which is the type of enjoyable realism you get in a wargame. I used to be assigned the function of OpenAI, essentially role playing Sam Altman and what I assumed he would do, since I presumed by then he’d be in full management of OpenAI, till he misplaced a power battle over the newly mixed US AI mission (in the form of a die roll) and I used to be abruptly position taking part in Elon Musk. Early on, the OpenAI player (out of character) accused me of taking part in my position as "more misaligned to make it extra interesting," which was very humorous, particularly since that player didn't know the way aligned I is perhaps (they didn't see the desk or my end result). Anton: Yesterday, as a part of the @TheCurveConf, I participated in a tabletop exercise/wargame of a near-future AI takeoff situation facilitated by @DKokotajlo67142, the place I performed the position of the AI. Anton performed the position of the AIs in the other game, and reviews here. Reality was typically simpler - AIs simply wanted to be useful. How a future with extremely good AIs might going properly may even appear to be, what to intention for?

One spotlight of the conference was a new paper that I sit up for speaking about, but which remains to be underneath embargo. But the state of affairs might have nonetheless gone badly despite the nice situations, so at the least that other half labored out. However, buyers are still hopeful the Trump administration shall be friendly with its cryptocurrency regulation within the longer-time period. OpenAI, Oracle, Softbank, and President Trump Team Up for $500B AI Infrastructure Initiative. To outperform in these benchmarks exhibits that DeepSeek’s new mannequin has a competitive edge in duties, influencing the paths of future analysis and DeepSeek improvement. The Chinese media outlet 36Kr estimates that the company has over 10,000 units in stock, however Dylan Patel, founder of the AI analysis consultancy SemiAnalysis, estimates that it has at least 50,000. Recognizing the potential of this stockpile for AI coaching is what led Liang to determine DeepSeek, which was in a position to make use of them together with the lower-power chips to develop its models. It additionally calls into question the overall "cheap" narrative of Free DeepSeek online, when it could not have been achieved with out the prior expense and energy of OpenAI.

The White House is trying into the national security implications of DeepSeek online, she stated. The company, in keeping with a report from Reuters, claimed it took two months and just under $6 million to construct its R1 AI model using Nvidia H800 AI chips. In particular, DeepSeek’s developers have pioneered two techniques which may be adopted by AI researchers extra broadly. We had a pause at the end, however it wasn’t sufficiently rigid to truly work at that point, and if it had been the AIs presumably would have prevented it. It might write a first model of code, however it wasn’t optimized to let you run that code, see the output, debug it, let you ask the AI for extra help. By the time resolution-makers bought spooked, AI cognition was so deeply embedded in every single place that reversing course wasn’t actually doable. Anton, by virtue of getting much stronger disagreements with most individuals at such conferences, received to have extra of the experience of ‘people walking round saying issues I believe are nuts’ and talks on-line as if he’s going to give us that maddening experience we crave… One particular technique to operationalize that is how much effective compute enchancment you get from RL on code.

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