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7. Predictive Programming- Subliminal scripting

We present a new approach to time-series forecasting that uses continued pre-training to teach a model to adapt to in-context examples at inference time, matching the performance of supervised fine-tuning without additional complex training. Learn more at goo.gle/3Vwpp6F

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

My prediction for the future: Everyone is going to have a super micro computer (size of a phone) that will run a specialized local LLM. This LLM will be trained automatically on its own user data and be adaptive. It will act as a friend, personal assistant and everything else

9. Predictive Programming - Subliminal scripting

Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's…

AI ofc can code but it's nowhere near a competitive programmer yet. Even those big LLMs like OpenAI's series do fold on tasks that need creativity and not boilerplates That's why @SentientAGI created Dobby-CP And they infused it with a human-guided Chain-of-Though data and a…

Reactive decisions fix problems. Predictive decisions prevent them. 👇 Check out our latest infographic: Reactive vs predictive decision-making. #AI #Data #Intelligence #PredictiveAnalytics #Innovation

[1/9] While pretraining data might be hitting a wall, novel methods for modeling it are just getting started! We introduce future summary prediction (FSP), where the model predicts future sequence embeddings to reduce teacher forcing & shortcut learning. 📌Predict a learned…

The first ever World Cup of Prediction Markets begins soon. Billions of data points. Thousands of minds. One truth. Traders. Agents. Creators. Accuracy will crown the best. Mindshare will crown the loudest. Predict. Perform. Prevail. Pre-register now: future.fun/warofmarkets-2…

1/Pretraining is hitting a data wall; scaling raw web data alone leads to diminishing returns. Today @datologyai shares BeyondWeb, our synthetic data approach & all the learnings from scaling it to trillions of tokens🧑🏼‍🍳 - 3B LLMs beat 8B models🚀 - Pareto frontier for performance

After 6 months of building, we're finally ready. 🚀 DSCVR AI — our new chapter begins. From The social home for Web3 communities → to The AI-powered prediction aggregation layer. We’re bringing together: 🧠 AI information aggregation — understanding global prediction data. 💧…

Inside Presence | 03 – Why AI Has Blind Spots Models predict pixels, not presence. Without spatiotemporal perception, AI can’t tell where life moves. Presens brings awareness — giving machines a sense of “when” and “where.” presens.gitbook.io/wp/background#…

Hoping your coding agents could understand you and adapt to your preferences? Meet TOM-SWE, our new framework for coding agents that don’t just write code, but model the user's mind persistently (ranging from general preferences to small details) arxiv: arxiv.org/abs/2510.21903…

ai agents will trade prediction markets before anyone notices. they already know how to price belief, risk, and uncertainty. they just need wallets. x402 is the proof and the first generation of autonomous trading agents is already here.

Predictive analytics isn't magic—it's AI strategy that works. Like a crystal ball for your data, spotting trends before they hit. The key? Clean data, clear goals, expert partners. Turn predictions into profits and ditch the guesswork!

$MEFAI doesn’t just follow the market it predicts it. Where data, sentiment, and algorithms meet, decisions are driven by intelligence, not emotion.

By combining historical data and known trends and predictions, AI can forecast customer behaviours long before the average business owner, helping you anticipate what your customers might need before they even know it themselves. Read more 👉 lttr.ai/AkdIb

Predictive analytics gives you data. Prescriptive analytics gives you decisions. Here’s how Indorama Ventures is scaling both — without burning out resources. Full interview with Rajneesh Ojha at CXO Circle Bangkok. buff.ly/IEis5FU #sponsored #infinite_iiot #AI