Anthropic's Mythos release highlights the risks of AI technology concentration.
– The founder advocates for regulation and pre-release testing of AI models.
– Concerns exist about both private and government control of powerful technologies.
– The U.S. government is late to the AI game compared to historical tech developments.
– The conversation indicates a potential shift in how AI technologies are deployed in sensitive areas.
▸ Full transcript
We can afford to move the dial even further towards being careful, right? That's what the Mythos release was about, right? It's very hard to do something like that if you're not the leading player. There's this argument, why wouldn't the government take you over? Why would they let a private company control technology that's so powerful? So I think, I actually think that's a very serious question. And I share those concerns. I don't think the government should outright take us over. Every previous powerful technology we've seen in history was either built by the government or originated with the government. So nuclear weapons, obviously, you know, initially built by the government. The internet, GPS, cell phones. AI is the first technology that's been built in the private sector and where government has not really had a serious role and is coming in late to the game. I think that's actually a dangerous and unstable situation. It is not the situation I would have chosen. This technology, I'm scared of companies having it, but I'm also scared of government having it. And then, you know, we need basic regulation of the technology, you know. More and more, as I've seen what we've seen with Mythos, you know, I think we need to start doing pre-release testing, required pre-release testing, testing and auditing of the models. This was an approach the White House rejected initially. On his first day back in office, President Trump, with the help of former AI and CryptoZar David Sacks, dismantled President Biden's AI executive order seeking.
Analysis
Anthropic's Mythos release raises concerns about the concentration of power in AI technology, with the founder expressing fears about both private companies and government control. The need for regulation and pre-release testing is emphasized as essential to mitigate risks associated with powerful AI models.
Smart money should note the potential for increased regulatory scrutiny on AI technologies, especially as the government grapples with its role in overseeing private sector advancements. The dialogue suggests a shift towards more cautious deployment of AI in sensitive areas, which could impact companies involved in AI development and military applications.