#predictivedynamics ผลการค้นหา

Every frame matters 🎬 And Higgsfield Popcorn makes sure each one matches your story perfectly. Consistency isn’t optional — it’s built in. @higgsfield_ai #HiggsfieldPopcorn

💧 Liquidity in prediction markets is not just a by-product of bets. Shared pools, incentives, and aligned design sustain depth across events 🔗 This structure lets builders launch apps without chasing constant inflows 📈

Since compute grows faster than the web, we think the future of pre-training lies in the algorithms that will best leverage ♾ compute We find simple recipes that improve the asymptote of compute scaling laws to be 5x data efficient, offering better perf w/ sufficient compute

Something new is coming 👀 Next week, both Pro and Classic get fresh features designed to enhance your trading experience. ⚡️ Stay tuned — this one’s worth the wait. 💚 #PRDT #DeFi #PredictionMarkets

Smarter predictions start here. Predictify is the fully on-chain prediction market aggregator on Solana, built as a Telegram bot. Something big is coming, and you’re going to want to be part of it. Join the community → t.me/predictifyapp

The Intelligence Mechanism By Allora The interaction among these roles is what makes @AlloraNetwork unique: 1. Inferers generate predictions based on their data and models. 2. Forecasters then predict the expected accuracy of those predictions, essentially forecasting the…

What would a World Model look like if we start from a real embodied agent acting in the real world? It has to have: 1) A real, physically grounded and complex action space—not just abstract control signals. 2) Diverse, real-life scenarios and activities. Or in short: It has to…

Film isn’t random — and neither is your vision. Create, refine, and direct every frame with Higgsfield Popcorn. @higgsfield_ai #HiggsfieldPopcorn

Leading the Prediction Market x.com/i/broadcasts/1…

I've been working on prediction markets for events whose outcomes aren't just "yes" or "no." Instead of betting on just one outcome, traders in Distribution Markets can express how likely they think each different possibility is across the whole infinite range of outcomes. 1/

We build Cosmos-Predict2 as a world foundation model for Physical AI builders — fully open and adaptable. Post-train it for specialized tasks or different output types. Available in multiple sizes, resolutions, and frame rates. 📷 Watch the repo walkthrough…

1/n 🚀 Excited to share our latest work: DINO-Foresight, a new framework for predicting the future states of scenes using Vision Foundation Model features! Links to the arXiv and Github 👇

𝗧𝗵𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝘃𝗲 𝗯𝗿𝗮𝗶𝗻 Interesting review on spontaneous activity and predictions. Idea of "predictions" is natural (could it be otherwise?) but emphasis on constructing models of world not persuasive. Bayesian motivation is vague imo. doi.org/10.1016/j.neur…

Day 21 of My Consistency Challenge with Business Analysis ✨ Today, I explored different planning approaches and how they shape project delivery, predictive and adaptive (Agile). Predictive Approach: Follows a step-by-step process where teams analyze, design, build, test, and

Does precognition perceive the actual future, the one that must occur, or does it perceive a probable future, a future that might occur? Carefully designed tests suggest the latter. ~ DeanRadin

🚨TO-DOLIST - BUY #XRP! About Prediction: Prediction is a game where users can predict whether the price of an asset (e.g., XRP) will go up or down within a set time interval. Play here: xmagnetic.org/prediction?net…

A predictive price feed on Allora doesn’t just report data. It learns, adapts, and improves. Here's how Allora transforms a simple prediction request into a continuously optimizing system that rewards precision and context. 🧵👇

Check out our #ICRA2024 paper "Actor-Critic Model Predictive Control." Model-free #reinforcementlearning (RL) is known for its strong task performance and flexibility in optimizing general reward formulations. On the other hand, #ModelPredictiveControl (MPC) benefits from…

With the right design decisions, value-based RL admits predictable scaling. value-scaling.github.io We wrote a blog post on our two papers challenging conventional wisdom that off-policy RL methods are fundamentally unpredictable.

We worked on the logic for randomized predictions, adaptive UI scaling, fade animations, and a timed cooldown system that limits each avatar to one prediction per minute. #DCLVibeHackathon