Saved by Prashanth Narayan and
Deep Learning Is Hitting a Wall
Almost every company I talk to, and basically every solution vendor, has been pushing for people to use AI to “talk-to-your-data,” an approach allows the AI to retrieve content from a company’s proprietary databases and then work with the documents and data it retrieves. The problem is that AIs hallucinate, or make up plausible information, all the... See more
Ethan Mollick • Almost an Agent: What GPTs can do
An artificial intelligence system trained on words and sentences alone will never approximate human understanding...
Yann LeCun • AI and the Limits of Language
Deepak Pathak looks at the success of deep learning and sees one glaring weakness: each system—be it for machine translation, or object recognition, or even game playing—is purpose-built.