AI chronicles
the ongoing artificial intelligence story, its pros, cons, and challenges
AI chronicles
the ongoing artificial intelligence story, its pros, cons, and challenges
the small community of people who do discuss radical AI futures often does so in an excessively “sci-fi” tone (featuring e.g. uploaded minds, space exploration, or general cyberpunk vibes). I think this causes people to take the claims less seriously, and to imbue them with a sort of unreality. To be clear, the issue isn’t whether the technologies
... See moreAI is aggregated human intelligence. So it’s better to call it collective intelligence than artificial intelligence.
Emphasizing the collectivity (something built on the commons) over the artificiality (a feat of technology) gives us an entire new way to see, perceive and relate to the technology.
-via Holly Herndon, in conversation with Ezra Klein
By Ethan Mollick on X
I guess I’m a little more LLM-skeptical than your average geek, but I read the list of features and thought: Would this sort of thing accelerate my mobile-device-upgrade latency, which at the moment is around three years? Um, no. Anyone’s? Still dubious.
Quite possibly I’m wrong. Maybe there’ll be a wave of influencers raving about how AI/GG
... See moreLLMs são mesmo necessários? E mesmo que sejam, seriam o selling point pra fazer alguém trocar de dispositivo?
LLMs are a moat, but for how long?
An LLM vendor like OpenAI isn’t an aggregator, As far as I can tell.
• An aggregator leverages a monopoly on demand to commodify supply .
• Whereas a traditional industrial monopoly leverages a monopoly on supply to extract $ from demand .
LLM vendors seem more like a traditional industrial monopoly. Like an
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