Take a look at EJAE now, because the singer-songwriter is shinin’ like she’s born to be. ⭐️ Watch her in a teaser for Liquid I.V.’s upcoming #SuperBowl# commercial featuring her cover of Phil Collins’ #Hot100# No. 1 hit “Against All Odds (Take a Look at Me Now).”

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 🫡

The existing financial system neither reflects the culture nor addresses the economic realities of this upcoming generation of financial participants. Our team, composed of emerging market citizens and perma-online Gen Zers are here to build the financial operating system for the internet-native generation. We’ve spent the past two years building MegaEVM, the fastest execution environment in the industry. The MegaEVM withstood a 11B tx stress test in mainnet production, averaging 40k TPS, while consistently charging lower fees than all others competitors. Our technical milestones paved the way for a collaboration with @chainlink to begin building the first real-time oracle, providing unparalleled speed and security to the DeFi ecosystem. The past two years has seen a notable and eventful ecosystem grow through MegaETH. Today, some of the most interesting new applications sit on Mega. The points program on Terminal has allowed crypto-native users to further explore the initial Mega Ecosystem, but we believe it has run its course. We will be providing boosted USDm rewards to all eligible participants in the program. Moving forward, we will double down on sourcing and accelerating the best applications on MegaETH through personalized GTM, targeting users beyond crypto. We are momentarily launching the MOSS SDK, a self-custody wallet that unifies liquidity between applications while maintaining top in class security through smart approvals. These pieces lay the foundation for M(OS)S to become the financial OS built for users born to this generation. Live Q3, MEGA blends finance and entertainment with primitives and risk preferences that have never been available to everyday users. The MOSS SDK is uniquely positioned to solve the embedded wallet <> generalized wallet dilemma by giving best in class security guarantees to users across all apps while still maintaining one unified account. MOSS SDK builds on the foundational work of Porto by Ithaca, providing a user-first mentality to product. We look forward to working with applications to integrate Moss and provide users with a solution to the crypto UX problem. The legacy financial system merely adopted the internet, it was not born in it. M(OS)S is being built by people who understand the culture of internet-native users and how finance, entertainment, and identity are converging online.