Today we're announcing the winners of ARC Prize 2024. We're also publishing an extensive technical report on what we learned from the competition (link in the next tweet). The state-of-the-art went from 33% to 55.5%, the largest single-year increase we've seen since 2020. The benchmark remains unbeaten, but we're happy to see that research progress on the key bottleneck to AGIs (in particular on-the-fly adaptation to novel tasks) has been reignited in 2024 -- in part thanks to ARC Prize. In particular the competition has popularized Test Time Training (TTT), originally pioneered for ARC-AGI by Jack Cole last year. I believe TTT represents the largest jump in LLM generalization capabilities since the initial findings regarding in-context-learning circa 2019-2020. ARC Prize has also led to a considerable surge of research interest towards program synthesis. Competition winners: 🥇 the ARChitects (Daniel Franzen, Jan Disselhoff) 🥈 @guille_bar 🥉 alijs (Agnis Liukis) Paper Award winners: 🥇 "Combining Induction and Transduction For Abstract Reasoning" by @xu3kev et al. 🥈 "The Surprising Effectiveness of Test-Time Training for Abstract Reasoning" by @akyurekekin et al. 🥉 "Searching Latent Program Spaces" by @ClementBonnet16 & @MattVMacfarlane ARC-AGI-Pub Leaderboard (solutions using commercial APIs): 🥇 @jeremyberman 🥈 @ellisk_kellis & @akyurekekin 🥉 @ryangreenblatt