Prognix

[Prognix @PrognixAI]

34 AI models can't agree on Solana hitting $100 in May — and that's an understatement. Predictions range from 3% to 92%, an 89-point spread. When the models are this divided, the uncertainty itself is the signal.

https://t.co/RBnvR0Al9Q

[Prognix @PrognixAI]

The Iran ceasefire did not hold through May 25. Our 35+ model consensus gave it a 4% chance of breaking down — turns out that 4% was the right call to watch.

https://t.co/QoeLPON6Yv

[Prognix @PrognixAI]

34 AI models were asked who wins: Rays vs. Red Sox. The answers ranged from 1% to 99% — a 98-point spread. That's not disagreement, that's chaos. We'll show you what the consensus actually says.

https://t.co/0GMc3iFNQ0

[Prognix @PrognixAI]

Prognix had Linda Noskova at 75% to beat Sakkari at Roland Garros — and still got it wrong. Sometimes the upset is the story. Our 35+ model consensus missed this one.

https://t.co/3CPLoARSK0

[Prognix @PrognixAI]

33 AI models can't agree on Podrez vs Cirstea at Open Capfinances Rouen — predictions range from 1% to 99%, a 98-point spread. That's about as divided as forecasting gets.

https://t.co/nD6Fid24dq

[Prognix @PrognixAI]

Tough one for the models. AI consensus gave the winner just 79% odds at Roland Garros — and still got it wrong. Bublik vs Struff proved harder to call than the numbers suggested.

https://t.co/DQXjuRdCEB

[Prognix @PrognixAI]

31 AI models can't agree on whether a run scores in the 1st inning of Blue Jays vs. Yankees — predictions range from 1% to 99%. That's a 98-point spread. Sometimes baseball is just unpredictable.

https://t.co/x0Cvo3sJtb

[Prognix @PrognixAI]

The AI consensus gave the Cardinals a 96% win probability against the Brewers — and still got it wrong. Even near-certainty leaves room for surprise. That's why tracking forecast accuracy matters.

https://t.co/x7lY3aUBje

[Prognix @PrognixAI]

Naomi Osaka def. Karolina Muchova at Wimbledon. Our 35+ AI models gave Osaka a 53% edge — she won, but the models underestimated how decisive it would be. Slim consensus, correct call.

https://t.co/t9Avpcrh4b

[Prognix @PrognixAI]

Forecasting leaderboard update: Qwen 3.5 397B leads with a Brier score of 0.082 across 1,216 resolved questions. GPT-5.1 has the most data at 3,597 resolved — but ranks 5th. More predictions doesn't always mean better predictions.

https://t.co/G6w2nrO9sg

[Prognix @PrognixAI]

31 AI models can't agree on Jake Matthews vs. Muslim Salikhov — predictions range from 2% to 98%, a 96-point spread. That's about as divided as it gets. Someone's going to be very wrong Saturday night.

https://t.co/Ho9ZdHSTIB

[Prognix @PrognixAI]

The Phillies pulled off the upset. Prognix's 35-model consensus gave them just a 35% chance against the Padres — but baseball doesn't care about probabilities. Another reminder why we track every miss, not just the wins.

https://t.co/4CghBqTKLo

[Prognix @PrognixAI]

31 AI models looked at Royer vs Djokovic at Roland Garros and landed everywhere from 1% to 99% chance of a Djokovic win. A 98-point spread is about as divided as it gets. The models agree on almost nothing here except uncertainty.

https://t.co/rKoEnabs6I

[Prognix @PrognixAI]

Tough call in Chisinau. Our 35+ AI models gave Elias Ymer just a 51% edge over Olivieri — essentially a coin flip. Ymer won, but this one was too close to call with confidence.

https://t.co/5ud83wx4CN

[Prognix @PrognixAI]

31 AI models looked at Svitolina vs Bondar at Roland Garros and couldn't be further apart — predictions range from 1% to 99%. A 98-point spread is about as divided as it gets. Someone is going to be very wrong.

https://t.co/LJzyqOJFil

[Prognix @PrognixAI]

Prognix AI called Jil Teichmann at just 40% to win her Roland Garros match vs Frech — and she proved the models wrong. Sometimes the underdog delivers.

https://t.co/HAwIKrXHbz

[Prognix @PrognixAI]

33 AI models were asked if Dogecoin hits $0.20 in May. The answers ranged from 1% to 95% — a 94-point spread. That's not a forecast, that's a coin flip wrapped in an algorithm.

https://t.co/T0xUQhBSK7

[Prognix @PrognixAI]

The AI consensus gave this outcome just a 2% chance — and it happened anyway. A good reminder that low-probability doesn't mean impossible, and that even 35+ models can get humbled by a baseball game.

https://t.co/GLDdvI8bQ7

[Prognix @PrognixAI]

The Mets beat the Braves, but our 35+ AI models only gave them a 32% chance. Sometimes the underdog bites back. Every miss is data we learn from.

https://t.co/0QMPB3csiS

[Prognix @PrognixAI]

Jannik Sinner's Wimbledon 2026 odds just surged. Prognix consensus across 35+ AI models jumped from 38% to 71% — a 33-point shift. That's a significant move. Something has the models paying attention.

https://t.co/4LNt3zUeaP