




Prwopr
289 posts










github.com/google-researc… This is the only model in the competition that doesn’t belong to us. We liked it a lot. It’s an incredible piece of work, so we brought it in to fight against ours 😄 A foundation model developed by Google Research, specifically designed for time series forecasting. At its core, just like GPT learns from text, TimesFM is pre trained on massive amounts of time series data. It can then be applied to any domain (finance, energy, retail, etc.) without additional training. What does it do? You provide past time series data (sales figures, sensor readings, weather data, etc.), and the model predicts future values. Technical features (latest version 2.5) A 200M parameter model with support for up to 16k context length Produces not only point forecasts but also quantile forecasts (i.e., uncertainty estimates like “this value will fall within this range with 90% probability”) Supports both PyTorch and JAX/Flax backends Also available as an official product in Google BigQuery














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Interesting direction. One thing Web3 games are slowly realizing is that they don't necessarily need to be complex AAA titles. Sometimes the most powerful mechanics are simple, competitive, and psychologically addictive. Ownership, rivalry, pride, and the fear of losing what's yours can be far stronger motivators than grinding for rewards. If Web3 gaming wants to succeed, it needs to tap into human instincts: competition, territory, status. Curious to see how models like this evolve.













Day 2 of using $MEFAI Binance Skill AI (BSAI) -> Built a platform that tracks early-stage cryptocurrencies narratives and trending sectors (AI tokens, RWA, memecoins, DePIN) to identify high- growth opportunity before listing. #bsc @MetaFinancialAI @cz_binance
