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最近世界杯⚽️我有在尝试各种不同的预测市场，发现了一个宝藏链上预测市场@bagel_win 今天用体验金试水玩了两场球全赢了，这是直接做了一个app，界面非常清爽，玩球玩法也很全！最牛逼的是这个可以像玩meme一样关注聪明钱地址，后期还会出内置copy trading功能一键跟单👀这就有点牛逼了说实话🫡 很符合我胃口的是app里内置聊天社群，比如世界杯、LOL、CS2、Dota2等，相当于把预测市场➕社群➕地址追踪聚合到了一个app，简直完美！ 最近还有好多活动，收集卡牌瓜分奖池，交易量奖池，还有每日活动，比如交易今晚葡萄牙-克罗地亚这场球，直接送你3u~ 💡大家可以走我链接玩：

Nella notte abbiamo già espresso, insieme a Francia, Germania e Regno Unito, il nostro forte apprezzamento per il memorandum d’intesa siglato da Stati Uniti e Iran nelle scorse ore. Un grazie sentito va a tutti i mediatori, e in particolare al Qatar e al Pakistan, che hanno reso possibile questa intesa. Si tratta di un’occasione di pace che va colta: l’Italia, come già in passato, è pronta a sostenere il processo diplomatico verso un accordo complessivo. I principi sono chiari: l’Iran non può dotarsi dell’arma nucleare e la libertà di navigazione deve essere garantita. Siamo pronti, insieme agli altri partner e fermo restando la necessaria autorizzazione parlamentare, a contribuire a una presenza navale internazionale per accompagnare la piena riapertura dello Stretto di Hormuz. È necessario, infine, che le ostilità cessino anche in Libano, dove l’Italia continuerà a lavorare per sostenere la sovranità libanese.

Today I am announcing META-Bench, the first pure intelligence benchmark for AI. It leverages the hit auto-battler strategy game, TFT. I SWEAR I AM NOT TROLLING let me explain. The industry suffers from labs overfitting and giving us models that score high despite being fundamentally low IQ. Over the years there have been many attempts at benchmarking AI with competitive gaming. I am going to explain the failure points, and why META-Bench is truly the first of its kind. Chess. When picking a game to benchmark with, chess is the obvious first choice. It has clear rules, large player base, and a well defined elo system. The issue with static rule games though is that the best strategies can be figured out ahead of time and baked into the model during the training process. Too easily hacked. Memorizing more strategies is not a proof of intelligence. Dota2/ League. We’ve all heard of OpenAI Five. The issue with benchmarking on a MOBA is that reaction speed is a meaningless metric. We do not need our highly intelligent AI to be able to respond at the speed of top human pro players. And truth be told, we are years away from a LLM that is able to play MOBAs at the highest levels off of vision alone, even though the problem is seemingly solved years ago. What we need is a game that: - Has defined rules but cannot be results hacked during the training process - Large ecosystem of human players - Clear cut results and an elo system - Results that is not reaction time dependent There is only ONE game in the world that meet all the requirements needed for this benchmark. Teamfight Tactics. For those unfamiliar, TFT is a strategy based auto-battler created by Riot Games with ~100 million monthly active players worldwide. It is a highly competitive multiplayer turn based game. It’s as if Chess and League of Legends had a baby that’s born to be an AI benchmark: - There is a new set released every 3 months. - Time limitations in the 10-40 second range rather than the milliseconds required for MOBAs - Skill based enough for esports yet uncertain enough to require reasoning over hard scripts “Can’t labs just train models to be good at TFT?” Nope and the reason why it’s unhackable comes down to how the benchmark itself is set up. Due to the fact that the entire game is changed every 3 months and patched every 2 weeks, any data on a previous TFT set is effectively useless when it comes to raw pattern recognition. Strategy wise, there are core concepts that carries over from set to set. That’s why we have the same players hitting the highest elo every season even though each set is so different. Any efforts at overfitting here can be fully negated if the benchmark harness used for all models has every core strategy built in. You are never going to beat a carefully curated harness layer with strategy training at the model layer. By presenting the models in the harness with the same core strategic concepts, the only difference in outputs will be its ability to reason across the different scenarios of each game. The luck elements of TFT already ensures that no 2 games will be the same in the reasoning required. Run the models against each other enough times and you will have a clear winner. Aka, the world’s first true IQ test for AI. I really, really want to know which AI model would win this. So I am going to build this. Not too sure how I’m going to fund it yet so if you would like to invest HMU. I’m also looking to put together a small team of individuals who are both high elo in TFT and highly experienced with agentic AI. And if you are even remotely curious on the results, like and help share this post 🫡