AI That Understands the World, Using Probabilistic Programming | Vikash Mansinghka | TEDxMIT

[@CoinEZ]

I love the concept so much

[@giovannimazzocco499]

Beautiful talk. Loved the example in Gen. PPL is the future.

[@vuemeca]

Wow!

[@kipropcollins4220]

Now that is how to get me hooked!!!

[@francisdelacruz6439]

The age of GPT is the age of AI failing so bad it doesn’t know it failed. So on to more productive theories.

[@RyluRocky]

What? No, both machine learning and Probability algorithms are separate from GPT which is an LLM, the only reason the probability approach can do half of the amazing things it’s doing is because GPT is interpreting all of the symbolic meaning. Also the Tesla cars don’t use LLMs at all, it mostly uses neural networks in machine learning. Transformers (which is a big part of LLMs) is the biggest discovery in History, It is the human brain to the body as it is the the driver to Intelligence, everything before LLMs that we called AI (artificial intelligence) wasn’t AI, by far the closest at the time was neural networks (which is still an integral piece of LLMs) while everything else was complex pattern algorithms merely mimicking techniques whereas an LLM is an actual brain that can use those techniques it literally understands information in relation to other information. If you have something that can understand information everything else intelligence wise will fall into place.

[@GaninduNanayakkara]

Nice!!!

[@MrMentalpuppy]

Cycorp?