61–70 of 213 posts
Earlier quoted context omitted.
The trick is to search HN submissions and filter by the date you remember reading about it. That's how I deal with these unsearchable names.
One step more effective is to keep track of things that keep your interest in a notes app.
Great paper. But wow, I really wish everyone would use more easily searchable names for their projects. In 6 months, there’s a high probability I’ll end up googling/ddging “megabyte model” trying to find this paper again.
We’re just a generation or two away from the “computer” model.
My main argument against the AI doomsayers has so far been that the current scaling laws simply make runaway singularity style scenarios algorithmically impossible (if for each step of improvement you need 10x parameters and 100x training, you quickly run into a brick wall). This is part of why I’m not worried about the current crop of generative AI. I am however both curious and concerned about what the tsunami of t…
We don’t need a runaway singularity for AI to just render human intelligence obsolete.
Paper: https://arxiv.org/abs/2305.07185 Wow, seems like Meta AI is so ahead of the curve compared to even Google and OpenAI recently especially with their open sourcing pushes. Great for the research community as a whole!
Meta has no horse in the race (i.e. they don't have a search engine). So, they don't mind throwing random things out. Withholding it won't really make much of a difference for them, as they don't have a way to productionize the tech.
Earlier quoted context omitted.
> The gap between an LLM and a "human with below average intelligence" is far more than 10x. In which direction? GPT-4 passes the bar exam with a top 10% score. How do you think a human with below average intelligence (or even with average intelligence) would fare? Copilot generates programming code that solves problems, and in most cases the code is correct. It outperforms many junior professional developers. Do you…
> How do you think a human with below average intelligence (or even with average intelligence) would fare? I don't understand what rote memorization to pass a test has to do with intelligence. For the record Kim Kardashian passed the bar; I imagine anyone given the proper motivation and time to study could do it, it's not a hard test. If AGI is a computer passing a test, then AGI was achieved a long time ago. I don't…
Earlier quoted context omitted.
I don't buy the idea (with either architecture) that "10x"-type scaling is required for another breakthrough. Think of a human with below average intelligence. Then think of a human genius. Now consider how incredibly similar their brains are, despite the massive performance gap. It's not like one has 10x the number of neurons/synapses/connections etc. of the other. They're both healthy human brains, and you need pow…
> Think of a human with below average intelligence. Then think of a human genius. LLMs are not AGI. A human with below average intelligence is still a league above a chimpanzee. A chimpanzee will never be able to read, not because "it's too dumb", but because a chimp's brain lacks the actual hardware for reading. The LLM is the chimpanzee. The gap between an LLM and a "human with below average intelligence" is far mo…
My main argument against the AI doomsayers has so far been that the current scaling laws simply make runaway singularity style scenarios algorithmically impossible (if for each step of improvement you need 10x parameters and 100x training, you quickly run into a brick wall). This is part of why I’m not worried about the current crop of generative AI. I am however both curious and concerned about what the tsunami of t…