Source podcast
Sequoia's Sonya Huang and Pat Grady in conversation with the people building and researching artificial intelligence.
Peregrine's Ben Rudolph says the company's first agent reproduced detectives' findings on a closed wrongful-conviction case, and it is now used in a few US departments, including a Wisconsin county where phone records helped place a suspect.
Parag Agrawal, founder of Parallel Web Systems, says agents already multiply web searches many times over. He forecasts that in a couple of years the web will tell agents when something worth acting on has changed.
Parag Agrawal says Parallel entered web search by selling a search agent that crawled after each request, replacing outsourced human research, and treating an index as a latency optimization to build later.
Rich Sutton and Khurram Javed's Oak Lab wants deployed AI to update its weights from individual experience, using per-weight learning rates and continual backpropagation—backed by earlier experiments, not yet a demonstrated general-purpose system.
