AI Agents have, so far, mostly been a dud
One thing that is still confusing to me, is that we've been building products with machine learning pretty heavily for a decade now and somehow abandoned all that we have learned about the process now that we're building "AI".
The biggest thing any ML practitioner realizes when they step out of a research setting is that for most tasks accuracy has ... See more
The biggest thing any ML practitioner realizes when they step out of a research setting is that for most tasks accuracy has ... See more
Ask HN: What are some actual use cases of AI Agents right now? | Hacker News
The eminent professor of complexity Melanie Mitchell rightly points out that present-day AI systems have many limitations: they can’t transfer knowledge from one domain to another, provide quality explanations of their decision-making process, and so on.
Mustafa Suleyman • The Coming Wave: Technology, Power, and the Twenty-first Century's Greatest Dilemma
