@JFPuget and @gonedarragh published their third-place (public leaderboard) ARC-AGI-2 solution. They generated synthetic training data from puzzle books dating from 1588 to 1949. Puget says this year’s data got a Qwen3-4B model to a score of 77, versus 29 w...
VQV Signal
OPEN SOURCE
WATCH
TECHNICAL
ARC-AGI-2 third-place solution open-sourced, built on puzzle-book data
@JFPuget and @gonedarragh published their third-place (public leaderboard) ARC-AGI-2 solution. They generated synthetic training data from puzzle books dating from 1588 to 1949. Puget says this year’s data got a Qwen3-4B model to a score of 77, versus 29 w...
@JFPuget and @gonedarragh published their third-place (public leaderboard) ARC-AGI-2 solution. They generated synthetic training data from puzzle books dating from 1588 to 1949. Puget says this year’s data got a Qwen3-4B model to a score of 77, versus 29 with last year’s NVARC dataset. Private-leaderboard winners...
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength 88%
Technical label WATCH
Public Interest 28
Category OPEN SOURCE
Reader Depth TECHNICAL
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
Public Interest components
Recognizable Entity Score 0
Practical Impact Score 0
Novelty Interest Score 94
Consequence Score 34
Curiosity Score 0
Shareability Score 45
Topics
VQV surfaced this signal because it is recent, relevant to AI Search, connected to Scobleizer News Pulse (X).
No login, cookies, social SDKs, or automatic posting.