@marksaroufim: It was an honor to give the keynote at MLSys Covered how AI systems have evolved, why AI is needed to improve them, why…
Summary
Mark Saroufim gave a keynote at the MLSys conference covering the evolution of AI systems, why AI is needed to improve them, and promising future directions. The recording will be released soon.
View Cached Full Text
Cached at: 05/24/26, 02:22 PM
It was an honor to give the keynote at MLSys Covered how AI systems have evolved, why AI is needed to improve them, why results have disappointed, why the future looks amazing, and why I’m working on this at Core Auto Recording should be out soon, in the meantime slides https://t.co/5pbyUHTAVC
Similar Articles
@lateinteraction: Couldn't be more excited that ACM CAIS is hosting Andy for a keynote - if you haven't heard Andy's vision on impactful …
Late Interaction's Andy Cohn will deliver a keynote at an ACM CAIS conference, sharing his vision on impactful AI research alongside the Laude Institute.
@Prince_Canuma: My @aiDotEngineer talk is live: "On-device Intelligence using MLX" Huge thanks to @swyx and the team for having me — ha…
The author announces their live talk titled 'On-device Intelligence using MLX' at the aiDotEngineer event, expressing gratitude to the organizers and community contributors.
@codewithimanshu: Stanford professor just gave away the entire foundation of how AI Agents & automation actually works. 1-hour lecture. T…
Stanford professor released a free 1-hour lecture covering the fundamentals of AI agents, tool calling, multi-step workflows, planning and reflection.
@deedydas: Demis Hassabis and Sebastian Mallaby were on stage in SF today and here are the 9 best things they said: 1. "There is a…
Demis Hassabis and Sebastian Mallaby discussed AI industry dynamics at a San Francisco event, with Mallaby predicting a 50% chance of OpenAI bankruptcy within 18 months.
@karpathy: Fireside chat at Sequoia Ascent 2026 from a ~week ago. Some highlights: The first theme I tried to push on is that LLMs…
Summary of Andrej Karpathy's talks at Sequoia Ascent 2026, highlighting three key themes: LLMs enabling new horizons beyond speed improvements (e.g., native image processing, .md scripts, unstructured knowledge bases), the economics behind model 'jaggedness' in capabilities, and the emergence of an agent-native economy.