Competition
4 milestones in AI history
DARPA Grand Challenge: Self-Driving Cars Begin
DARPA offered $1M for an autonomous vehicle to complete a 150-mile desert course. In 2004, no vehicle finished — the best went 7.4 miles. In 2005, Stanford's 'Stanley' (led by Sebastian Thrun) won by completing the course in under 7 hours. The 2007 Urban Challenge tested autonomous driving in traffic.
The Netflix Prize
Netflix offered $1 million to anyone who could improve their recommendation algorithm by 10%. The competition attracted thousands of teams and ran for 3 years (won in 2009). It popularized collaborative filtering, matrix factorization, and ensemble methods.
IBM Watson Wins Jeopardy!
IBM's Watson system defeated the two greatest Jeopardy! champions, Ken Jennings and Brad Rutter, in a televised match. Watson used natural language processing, information retrieval, and machine learning to understand nuanced questions with puns and wordplay.
Three Chinese Labs Ship Major Models in 24 Hours
Within a single day, DeepSeek shipped V4-Flash-0731 — comparable to frontier Western models on coding at roughly a 99% discount — MiniMax released H3, an omni-modal model generating 15-second 2K video clips, and ByteDance launched Seedance 2.5, extending single-run video generation to 30 seconds. The releases landed amid a brutal late-July selloff in which the world's 20 most valuable chip companies lost about $1.3 trillion in market value on fears that China's semiconductor progress and cheap models would reset AI economics.