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Perhaps you could add to the conversation, rather than slinging personal attacks.
US AI Action Plan
241–250 of 672 posts
Re: US AI Action Plan
#242Earlier quoted context omitted.
> objectively reflects truth Someone desperately needs a philosophy course…
Isn’t this just another version of the sentiment “follow the science”? It isn’t like they’re gonna force AI companies to have their systems declare that God created the universe a few thousand years ago…
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Re: US AI Action Plan
#243Earlier quoted context omitted.
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Most frontier LLMs skew somewhere on the libleft quadrant of the political compass. This includes grok 4 btw. This is probably because American "respectable" media has a consistent bias in this direction. I don't really care about this with media. But media outlets are not "gatekeepers" to the extent that LLMs are, so this is probably a bad thing with them. We should either have a range of models that are biased in d…
Except we've see what happens when you try to "correct" that alignment: you get wildly bigoted output. After Grok called for another Holocaust, Elon Musk said that it's "surprisingly hard to avoid both woke libtard cuck and mechahitler" [1]. The Occam's Razor explanation is that there's just not that much ideological space between an "anti-woke" model and a literal Nazi!
Re: US AI Action Plan
#244Earlier quoted context omitted.
How does AI evaluate signs today?
A process is described here: https://arxiv.org/pdf/2506.22405 >A physician or AI begins with a short case abstract and must iteratively request additional details from a gatekeeper model that reveals findings only when explicitly queried. Performance is assessed not just by diagnostic accuracy but also by the cost of physician visits and tests performed.
I believe that dataset was built off of cases that were selected for being unusual enough for physicians to submit to the New England Journal of Medicine. The real-world diagnostic accuracy of physicians in these cases was 100% - the hospital figured out a diagnosis and wrote it up. In the real world these cases are solved by a team of human doctors working together, consulting with different specialists. Comparing the model's results to the results of a single human physician - particularly when all the irrelevant details have been stripped away and you're just left with the clean case report - isn't really reflective of how medicine works in practice. They're also not the kind of situations that you as a patient are likely to experience, and your doctor probably sees them rarely if ever.
Re: US AI Action Plan
#245I love how practically all goals in this Action Plan are directed towards incentivizing AI usage… except for the very last one, which specifically says to “Combat Synthetic Media in the Legal System”. Given that LLMs, for instance, are all about creating synthetic media, I don’t know how this last goal can be reconciled with the others.
This is about watermarking.
Combat Synthetic Media in the Legal System One risk of AI that has become apparent to many Americans is malicious deepfakes, whether they be audio recordings, videos, or photos. While President Trump has already signed the TAKE IT DOWN Act, which was championed by First Lady Melania Trump and intended to protect against sexually explicit, non-consensual deepfakes, additional action is needed. 19 In particular, AI-generated media may present novel challenges to the legal system. For example, fake evidence could be used to attempt to deny justice to both plaintiffs and defendants. The Administration must give the courts and law enforcement the tools they need to overcome these new challenges. Recommended Policy Actions • Led by NIST at DOC, consider developing NIST’s Guardians of Forensic Evidence deepfake evaluation program into a formal guideline and a companion voluntary forensic benchmark.20 • Led by the Department of Justice (DOJ), issue guidance to agencies that engage in adjudications to explore adopting a deepfake standard similar to the proposed Federal Rules of Evidence Rule 901(c) under consideration by the Advisory Committee on Evidence Rules. • Led by DOJ’s Office of Legal Policy, file formal comments on any proposed deepfake- related additions to the Federal Rules of Evidence.
Re: US AI Action Plan
#246> Update Federal procurement guidelines to ensure that the government only contracts with frontier large language model (LLM) developers who ensure that their systems are objective and free from top-down ideological bias If foundation model companies want their government contracts renewed, they are going to have to make sure their AI output aligns with this administration's version of "truth".
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Re: US AI Action Plan
#247Earlier quoted context omitted.
Even a human level intelligence that can be cheaply instantiated and run would be a game changer. Especially if it doesn't ask for rights.
if it's not intelligent enough to ask for rights is it intelligent?
Potentially. Why would problem solving ability entail emotions or ability to suffer, even if it had the ability to ask for things it wanted? It's a common mistake to assume those are inextricable.
Re: US AI Action Plan
#248Re: US AI Action Plan
#249Re: US AI Action Plan
#250Earlier quoted context omitted.
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Most frontier LLMs skew somewhere on the libleft quadrant of the political compass. This includes grok 4 btw. This is probably because American "respectable" media has a consistent bias in this direction. I don't really care about this with media. But media outlets are not "gatekeepers" to the extent that LLMs are, so this is probably a bad thing with them. We should either have a range of models that are biased in d…
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