Outdoor Discussion Walk: AI for Scientific Research | Terence Tao
Let's go for a round-trip walk from Farragut Square to National Academy of Sciences and back and discuss a podcast interview of Terence Tao.
In this podcast episode, Terence Tao, a Fields Medal-winning mathematician at UCLA, lays out his case for scientific research in the age of AI. He explains what AI can do well, and where it still fails.
Here is how it works:
[Optional] Prior to the event: Listen to this podcast interview (any one of the follow format):
During the event:
10:30am-11:00am: meet at Farragut Square for group introduction.
11:00am - 12:30pm: Walk toward National Academy of Sciences, then back to Farragut Square. Here is the walking route: https://scenic-walk.com/#/bamnffbj (during the event, the organizer will live broadcast group location, so that people that arrive late can catch up).
12:30pm - : Optional Lunch at Mazi DC
Discussion Questions:
Research is evolving from solitary work into open, crowdsourced collaboration.
How can we engage with open communities to fast-track our personal learning and daily side projects?Language models show that creativity often comes from recombining existing patterns.
How can we remix everyday ideas from different fields to spark fresh project concepts?Documenting failures saves future builders from repeating the same dead ends.
How can we openly share our work in progress to build credibility and community?
👥 Who should join
AI practitioners, startup founders, students, and researchers curious about AI’s development and impact.
If you are interested in continuing our conversation, share events, projects, articles, etc, join our discord group: Join Discord Server
If you are looking for collaborators, investors, opportunities, talent, early users, customers, etc in the DMV metro area, join our private LinkedIn Group: https://www.linkedin.com/groups/42466004/
Photos from previous events