Patrick Winston’s last lecture on “How to Speak.”
In 2019, as I was getting mic’d to give a lecture at MIT, Patrick slowly came down the auditorium steps with a cane. He handed me a copy of his new book, and we caught up briefly.
My host later told me he was very ill and had made a special effort to come by and say hello. Several months later, he was gone. I hadn’t realized he had come to say goodbye.
I deeply enjoyed our collaborations over the years. A brilliant and wonderful man.
https://t.co/nu36p5vS5n
At Build, we announced the general availability of Microsoft Discovery, a platform for accelerating scientific and engineering R&D. Discovery orchestrates leading-edge scientific models through cycles at the heart of science: evidence → hypotheses → analysis & experimentation → refined ideas—with human judgment at the center. https://t.co/tsSuHybW7i @Microsoft@MSFTResearch
With the new MAI models and Frontier Tuning capabilities we announced today, we're focused on helping every company move from just consuming a frontier model to fully participating at the frontier.
@MayoClinic and @Microsoft announce a collaboration to develop AI models for health care.
Excited to work with colleagues at Mayo, a world center of excellence in patient-centered problem solving, to explore how AI can support people facing some of the most difficult diagnostic and therapeutic challenges.
https://t.co/WOAf9PdG1W
@satyanadella@GFarrugiaMD@MicrosoftBuild
On related work & directions with agents: opportunities and prototypes described in this video are still as fresh as they were decades ago. Enjoy! https://t.co/3wWMk3YRot
Exciting results & direction with learning from signals from the environment—with implications for continual learning about the world.
@DimitrisPapail@MSFTResearch
Geneticist J. Craig Venter, best known for his role in sequencing the human genome, has died aged 79.
He spoke to Nature in 2023 about AI, sequencing the ocean – and why he had no plans to stop working.
https://t.co/FYq5jbMpxa
:-) More so to say that causal inference machinery could be leveraged formally in weaving together—and also guiding evidence creation (at the right time and place)—to build compelling stories that compete with grounded causal models. Then again, people have been persuaded over centuries by propaganda composed on the back of an envelope.
@yudapearl@burkaru@eliasbareinboim Feel free to use a different word than "persuasion." I remain concerned about the feasibility of adversarial generative explanations--even if the "causal models," built from toothpicks, only stand for a short time.
@yudapearl@burkaru@eliasbareinboim Adversarial generative explanations know the models and understand what events to generate in the world to tip the scales to an alternate coherent story.
When physicians & AI reason independently, & then combine their perspectives, diagnostic accuracy significantly improves, according to a new @npjDigitalMed study by Selin Everett, with senior authors @jonc101x, @erichorvitz & others. https://t.co/j7haVbvPcc