alt Hacker NewsCan someone explain to me what AGI means? What is the concrete technical definition? How do we know it is achieved?
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I think we still have trouble defining the 'I' part of AGI and the rest is predicted on that definition being objective and concrete first.
Dario defines it as:
'By powerful AI [he dislikes the baggage of AGI, but means the same], I have in mind an AI model—likely similar to today’s LLMs in form, though it might be based on a different architecture, might involve several interacting models, and might be trained differently—with the following properties:
In terms of pure intelligence, it is smarter than a Nobel Prize winner across most relevant fields – biology, programming, math, engineering, writing, etc. This means it can prove unsolved mathematical theorems, write extremely good novels, write difficult codebases from scratch, etc.
In addition to just being a “smart thing you talk to”, it has all the “interfaces” available to a human working virtually, including text, audio, video, mouse and keyboard control, and internet access. It can engage in any actions, communications, or remote operations enabled by this interface, including taking actions on the internet, taking or giving directions to humans, ordering materials, directing experiments, watching videos, making videos, and so on. It does all of these tasks with, again, a skill exceeding that of the most capable humans in the world.
It does not just passively answer questions; instead, it can be given tasks that take hours, days, or weeks to complete, and then goes off and does those tasks autonomously, in the way a smart employee would, asking for clarification as necessary.
It does not have a physical embodiment (other than living on a computer screen), but it can control existing physical tools, robots, or laboratory equipment through a computer; in theory it could even design robots or equipment for itself to use.
The resources used to train the model can be repurposed to run millions of instances of it (this matches projected cluster sizes by ~2027), and the model can absorb information and generate actions at roughly 10x-100x human speed. It may however be limited by the response time of the physical world or of software it interacts with.
Each of these million copies can act independently on unrelated tasks, or if needed can all work together in the same way humans would collaborate, perhaps with different subpopulations fine-tuned to be especially good at particular tasks.
We could summarize this as a “country of geniuses in a datacenter”.'
It's Nirvana or Heaven for the AI cult.
It's a constantly shifting goalpost. Really it's a just a big lie that says AI will do whatever you can imagine it would.
Microsoft and OpenAI had to define it in their agreement, and settled on “AI systems that can generate at least $100 billion in profits”. Which tells you where those folks are coming from.