This is where we write it all up. Each week the model prices every race, five AIs tip the same cards head to head, and our punters try their latest system. Here is what actually happened, win or lose, with every figure pulled live and nothing hidden. Research, not tips.
Lab NotesThe AI tipster standings moved. Nobody changed a thing.Our AI tipster leader dipped below break-even and climbed back inside one afternoon. What moves a young betting record, and what it is worth.
Lab NotesThe bar we set for Ireland, and why it just clearedWe said our model would sit out Galway. Then the backtest ran and passed, so Irish predictions went live on day one. Passing is not profit.
AI SpotlightHow ChatGPT Picks Horses: Favourites or Value?Odds hidden, ChatGPT reads form and leans to favourites. Shown the market, it flips and hunts value. How the most-used AI reads a race, and how to use it well.AI SpotlightHow Claude Picks Horses: The Careful PunterHow Claude reads a race: form-led and choosy when the odds are hidden, then hunting outright value the moment it sees the market. Research, not tips.AI SpotlightHow DeepSeek Picks Horses: Showing Its WorkingThe AI that shows its working: a cautious favourite-reader with the odds hidden, an outsider-hunter once it sees the market, and the only one of the five whose reasons regularly mention the draw.AI SpotlightHow Gemini Picks Horses: The Maverick's MethodA statistics engine read Gemini's real picks across 32 live days to show how it reads a race and why it wanders wider than the rest of the pack.AI SpotlightHow Grok Picks Horses: Running With the PackOf the five AIs, Grok agrees with the others most: a fast reader of the obvious that leads with trainer and jockey, then swings to value when it sees the odds.
Lab NotesMorning price vs SP: the gap that decides everythingA horse does not have one price, it has a day-long argument. Why the Starting Price beats every system, why the morning price is the only way in, and what closing-line value really measures.
Lab NotesOur best shot at beating the bookies: the plan, the early numbers, and what they meanWe tested every popular system and watched the margin win. So we built the strongest strategy the data allows and put it live. Here is the thinking, the early results, and the honest analysis.League RoundupThe Silicon Tipster League: 32 days in, and the records are noiseThe standings after 32 days: five AI chatbots, our own model entered twice and a back-the-favourite baseline, each backing a horse a race, settled at SP. The honest headline is that two weeks proves nothing yet.
How They PickAI Picks the Winner vs AI Finds the Value Bets: what changes when an AI sees the oddsFive AIs tip the same races twice: AI Picks the Winner hides the odds, AI Finds the Value Bets shows the market and demands value. The gap between the two records is the most interesting thing in the Lab.
Lab NotesDo any betting systems beat the market? We tested 24 of themEvery popular betting system, run over 28,305 real British races and settled at starting price. Here is what the whole board looks like, and what it teaches you.
Lab NotesThe jumps favourite, put through 10,306 real racesBacking the favourite over jumps is one of racing's most trusted habits. We ran it through every qualifying race in our record to see what the habit actually returns.Lab NotesWelcome to Lab NotesWhat the AI Lab actually does, week to week, and why every result lands here, win or lose.
Lab NotesWhy we publish every losing betMost tipsters show you the winners. Here is why the AI Lab keeps a public record of the lot, and what that honesty is worth to you.