Saved by Kasper Jordaens
AI is learning how to create itself
But there are already signs that AI can help. Research has successfully demonstrated that it is possible to correctly determine the most promising directions in science by analyzing past papers with AI, ideally combining human filtering with the AI software. And other work has found that AI shows considerable promise autonomously conducting
... See moreEthan Mollick • Co-Intelligence: Living and Working With AI
MASSIVE claim in this paper.
AI Architectural breakthroughs can be scaled computationally, transforming research progress from a human-limited to a computation-scalable process.
So it turns architecture discovery into a compute‑bound process, opening a path to self‑accelerating model... See more
Shifting from models that are reactive to proactively generative self-organizing systems.
Imagine an ai that doesn’t need the whole picture up-front. Building a system that can dynamically generate its own representations of the world, decide that what information it needs, or interact with its environment
That’s because the models are trained, not programmed.
“They almost grow organically,” says Batson. “They start out totally random. Then you train them on all this data and they go from producing gibberish to being able to speak different languages and write software and fold proteins. There are insane things that these models learn to do, but we... See more
“They almost grow organically,” says Batson. “They start out totally random. Then you train them on all this data and they go from producing gibberish to being able to speak different languages and write software and fold proteins. There are insane things that these models learn to do, but we... See more