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Having Claude calculate which beers are the best deal at the bar based on price to alcohol from a picture of the menu is currently a massive party trick. Outsi
by Larrikin 5mo ago
Having Claude calculate which beers are the best deal at the bar based on price to alcohol from a picture of the menu is currently a massive party trick.
Outside of programmers, almost no one has actually seen AI be useful for anything except do a barely acceptable job at a task they could have done better if they felt like it.
Not all programmers with AI mandates have seen this yet either.
- simianwords 5mo agoIt’s solving open problems in mathematics that stumped humans.
- mcv 5mo ago"If they felt like it" is key here: in my experience, AI makes it very easy to not feel like anything and just trust whatever the AI comes up with. The barrier to diving deep into code, or researching any other topic by myself, has become higher. At the same time the barrier to getting some results has become much lower, especially for complex topics I knew nothing about. So that seems great, but I keep running into cases where I do check sources and the AI turns out to have summarised it incorrectly.
- arvid-lind 5mo agoIt seems like that issue where LLMs are just flat wrong isn't going away, at least as long as they're trained on human data. Humans of course are fallible but it can be a cascading problem that isn't clear to anyone if all we're doing is looking at the solution and letting the LLMs check the work. I remember being excited about LLMs initially because it seemed like a natural evolution of the information saturated world we live in, we now need help deciphering the signals from the noise. But that was assuming that most/all the noise was from mis/disinformation. Now it just looks like another tool of control for the megarich to take even more from the rest of us. Maybe there is some hope in open source models.