We should not confuse the dignity of work with the importance of the goal. If AI helps cure cancer, the moral priority is the cure, not whether humans did every step themselves.
Yann is just plain incorrect here, he’s confusing general intelligence with universal intelligence.
Brains are the most exquisite and complex phenomena we know of in the universe (so far), and they are in fact extremely general.
Obviously one can’t circumvent the no free lunch theorem so in a practical and finite system there always has to be some degree of specialisation around the target distribution that is being learnt.
But the point about generality is that in theory, in the Turing Machine sense, the architecture of such a general system is capable of learning anything computable given enough time and memory (and data), and the human brain (and AI foundation models) are approximate Turing Machines.
Finally, with regards to Yann's comments about chess players, it’s amazing that humans could have invented chess in the first place (and all the other aspects of modern civilization from science to 747s!) let alone get as brilliant at it as someone like Magnus. He may not be strictly optimal (after all he has finite memory and limited time to make a decision) but it’s incredible what he and we can do with our brains given they were evolved for hunter gathering.
@venkmurthy One of my favorite paradigms in medical AI: using deep learning on a low-cost test to predict the results of a more expensive one. Great work!
Many seem to bash LLMs these days, but people are throwing out the baby with the bathwater. Next in sequence prediction is profound for both artificial neural and biological intelligence. More work remains, but we’re getting closer to highly accurate world models.
Raffi Hagopian, MD (@AiMedicalDoctor), responds to a letter regarding the Original Article he coauthored, “AI Opportunistic Coronary Calcium Screening at Veterans Affairs Hospitals.” Read the full response: https://t.co/MSqNCOIe2N
Whether you’re a scientist, policymaker, or simply a concerned citizen, you should hear what Geoffrey Hinton, the “Godfather of AI”, has to say about the challenges humanity will face in our lifetimes.
https://t.co/LrNFPyseP6
AI-CAC source code and NEJM AI publication are now online! We hope this work serves as a step toward earlier CAD detection by analyzing scans that patients already have had in routine care! https://t.co/j8DSFq2pAt
AI will exceed human capabilities, but it is still worth investing in our own critical thinking and knowledge. Shared understanding deepens the dialogue—like Einstein talking to someone who has studied physics. You will get more out of the interaction the more you know.
In a major scientific breakthrough, the latest version of #AlphaFold has been recognised as a solution to one of biology's grand challenges - the “protein folding problem”. It was validated today at #CASP14, the biennial Critical Assessment of protein Structure Prediction (1/3)
We made a new AI-CAC algorithm to automatically quantify cardiovascular risk from routine chest CTs using the unprecedented scale of the VA National Healthcare System! This is the first step to build a scalable prevention program for veterans. Pre-print: https://t.co/Dtzo8S3ExM
The era of large multimodal video transformer models is upon us. I suspect an understanding of video should be sufficient for a very powerful world model. We are moving closer and closer to models with extremely general capabilities.
Neural nets now are solving previously unsolved math problems. It seems that the symbolic reasoning expert system versus connectionist AI divide of the past is ending, with neural nets showing that they can do it all. This makes sense as our brains are capable of logic.
Introducing FunSearch in @Nature: a method using large language models to search for new solutions in mathematics & computer science. 🔍
It pairs the creativity of an LLM with an automated evaluator to guard against hallucinations and incorrect ideas. 🧵 https://t.co/MC5ttgvZeM
As neural nets develop a better “theory of mind,” the ability to infer the unobserved mental state of others, many have worried it may use this capability to deceive us, but I believe this is also essential for it to empathize with us and better align with human values.