The concern I have is that even if these systems are easier to line as they get bigger and smarter, that alignment failures get more dangerous. So for example, you know, if let's say with chat GPT, it's a little misaligned, it gives you a napalm recipe. Okay, fine. You could have found that online, right? But maybe a little bit of smarter model. It actually helps you figure out all the ingredients you need to make a bomb also where you can source them Also helps you debug the problems you're having while you're making your bomb.
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Many people who work on AI safety advocate for slowing the rate of development; but might there be any advantages in speeding up AI development? Which fields are likely to be impacted the most (or the least) by AI? As AIs begin to displace workers, how can workers make themselves more valuable? How likely is it that AI assistants will become better at defending against users who are actively trying to circumvent assistants' guardrails? What effects would the open-sourcing of AI code, models, or training data likely have? How do actual or potential AI intelligence levels affect AI safety calculus? Are there any good solutions to the problem that only ethically-minded people are likely to apply caution and restraint in AI development? What will a world with human-level AGI look like?
An accomplished entrepreneur, executive, and investor, Reid Hoffman has played an integral role in building many of today's leading consumer technology businesses including as the co-founder of LinkedIn. He is the host of the podcasts Masters of Scale and Possible. He is the co-author of five best-selling books: The Startup of You, The Alliance, Blitzscaling, Masters of Scale, and Impromptu.
Note from Reid: Possible [the podcast] is back this summer with a three-part miniseries called "AI and The Personal," which launches on June 21. Featured guests use AI, hardware, software, and their own creativity to better people's daily lives. Subscribe here to get the series: https://link.chtbl.com/thepossiblepodcast
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