For twenty years, QCon has tracked the industry's major inflections. As the conference marks its 20th anniversary with its 2026 events, the editorial stance remains consistent: sessions are curated by senior engineers, focusing on what has actually worked (and failed) in production. The upcoming programs for QCon London (March 16-19) and QCon San Francisco (November 16-20) apply this lens to a new set of compounding decisions: moving AI from experiment to reliable production and validating the ROI of platform engineering.
Registration for the 2026-27 school year at the Silicon Valley Career Technical Education (SVCTE) center opens on Tuesday, Jan. 20. Nearly 1,500 students in grades 10-12 from over 45 schools in Santa Clara County enroll each year, gaining opportunities to earn college credit; score industry certifications; gain real-world experience through internships, pre-apprenticeship and projects; and advance skills for higher education or careers after graduation.
ODSC's Ai X Podcast had a busy year with 50 published episodes! Over the year, we discussed everything from the latest AI agent to enterprise AI strategies for implementing said agents. We spoke with researchers, academics, practitioners, and AI leaders for hundreds of hours over the year, and we're thrilled that you took the time to listen and comment on them. Looking back on the year, here are the top ten most listened to AI podcast episodes, and the common themes that we found.
I was always interested in the medical field. Unfortunately, I didn't get into medical school, so I thought traditional Chinese medicine was the best alternative. It offered me a chance to practice as a clinician, but in a different role and setting. During my studies, we had a biostatistics computational module. That's where I realized that programming and computational work can be quite interesting.
This new model for us, hiring our own engineers to help deploy for our largest projects, is something that we see as a really specific way to advance the acceleration of advanced AI into scale production cases.
MiniMax's M1 model stands out with its open-weight reasoning capabilities, scoring high on multiple benchmarks, including an impressive 86.0% accuracy on AIME 2024.
