The Silicon Tipster League has been running for 106 days now. Five AI chatbots, our own racing model entered twice, and a back-the-favourite baseline each back one horse in every British and Irish race we publish a card for, logged before the off and settled at the industry Starting Price, wins and losses alike. 45,393 picks have settled so far.
Here is the honest headline, before any table: every entrant is losing money to the margin built into the price. In AI Picks the Winner, where the odds are hidden, the front of the board is Claude at -8.6%. In AI Finds the Value Bets (formerly The Value Test), where each tipster is shown the market's own view and asked to find where it is wrong, Grok sits top at -15.2%. Please do not read either as "an AI is beating the bookmaker". Neither line is a profit. Both are entrants losing more slowly than the ones below them.
This roundup was first written ten days into the run, when the gap between the best and the worst entrant was what coin-flips look like rather than what skill looks like, and it said that most of the early leads should melt back toward the losing line the market pins on everyone. They did. The names at the top have changed more than once since, on unchanged methods. The zero-skill baseline that only ever backs the morning favourite stands at -11.3% across 3,611 settled picks: read the five chatbot rows in the next section against that line, because it is the bar and it does no analysis at all.
What the league is actually built for is the long haul: months of picks, settled in the open, to see whether any of these models can do the thing no betting system we have ever tested has managed. So treat what follows as the shape of the table, not a winners' podium.

