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Зерттеулер1 мин

AI just solved a million dollar math problem...

Watch how this moves. The air rolls into a ring. It stretches and breaks into smaller curls. There's more detail everywhere you look. It almost feels random, [music] but it's not. We can predict it. As scientists study things like this, we get [music] massive advancements in the…

YouTube — Matthew Berman
Зерттеулер1 мин

Paul Christiano joins OpenAI Foundation Board

Paul Christiano joins the OpenAI Foundation Board and its Safety and Security Committee, bringing experience in AI alignment, safety, and standards.

OpenAI Blog
Зерттеулер1 мин

OpenAI responds to the math authorship dispute

Join My Newsletter for Regular AI Updates 👇🏼 https://forwardfuture.com My Links 🔗 👉🏻 X: https://x.com/matthewberman 👉🏻 Forward Future X: https://x.com/forwardfuture 👉🏻 Instagram: https://www.instagram.com/matthewberman_ai 👉🏻 Discord: https://discord.gg/u7wTTGWhuJ 👉🏻…

YouTube — Matthew Berman
Зерттеулер1 мин

Superintelligence is coming. Should we let it?

AI companies have been talking about superintelligent AI like it’s inevitable, but recent safety incidents like OpenAI’s Hugging Face breach are demonstrating the potential dangers of deploying AI systems that are more…

TechCrunch — AI
Зерттеулер1 мин

ИИ ВЗЛОМАЛ СТАРЕНИЕ! Минус 6 Лет За Месяц! Открыт Ключ К Молодости! СТАРОСТЬ БОЛЬШЕ НЕ ПРИГОВОР!

Всем привет. В этом выпуске самые главные свежие новости об искусственном интеллекте и технологиях. И лекарство неожиданно омолодило организм людей сразу на несколько лет, и для этого его вообще не создавали. GPT-6 Astra прошла все 48 тестов "Я не робот" и официально получила…

YouTube — AI Flash News
Стартаптар1 мин

Besxar is building an orbital semiconductor factory, one SpaceX rocket at a time

If you want to manufacture in space—and bring the products back again—there’s a limited set of options: Wait to go to the International Space Station, or partner with a handful of start-ups launching spacecraft that spend time in orbit before they return to Earth. But the…

TechCrunch — AI
Зерттеулер1 мин

Worried Anthropic researchers warn that AI ‘could kill all humans’

A senior Anthropic safety researcher has said there is more than a 10 percent chance жасанды интеллект "could kill all humans" by the end of the decade, just hours after a colleague resigned over fears the AI lab and its rivals are carelessly racing to build "superhuman…

The Verge — AI
Зерттеулер1 мин

OpenAI JUST solved math....

So, this has been one of the most insane days in AI possibly ever. OpenAI announces that one of its next generation models that we haven't seen has produced a historic landmark mathematical breakthrough. It's been an open problem for close to a century. Has millions of dollars…

YouTube — Wes Roth
Зерттеулер1 мин

RAPID: Reliability-Aware Pair Importance Distillation

arXiv:2609.05481v1 Announce Type: new Abstract: Inter example relational distillation transfers a teacher's representation geometry by matching relations among examples within a mini batch. Computing all pairs has quadratic complexity in the batch size, whereas uniform…

arXiv — cs.AI
Зерттеулер1 мин

EnvCraft: Synthesizing Executable Environments in Agentic RL for Claw-like Agent

arXiv:2609.05576v1 Announce Type: new Abstract: The paradigm of LLMs has rapidly shifted from passive language interfaces to autonomous Claw-like agents that execute long-horizon tasks across stateful workspaces. While Agentic Reinforcement Learning (Agentic RL) provides a…

arXiv — cs.AI
Зерттеулер1 мин

Compiling VGDL into Causal Models

arXiv:2609.05459v1 Announce Type: new Abstract: Reinforcement learning and large language models often struggle to accurately capture the causal mechanics of game environments. Standard reinforcement learning agents tend to rely on spurious correlations, while large language…

arXiv — cs.AI
Зерттеулер1 мин

Deep belief networks are exact

arXiv:2609.05572v1 Announce Type: new Abstract: We prove that every strictly positive probability distribution on \(\{-1,1\}^n\) is represented exactly by a sigmoid belief network with finite parameters. This answers a question of Sutskever and Hinton. The proof upgrades their…

arXiv — cs.AI
Зерттеулер1 мин

When and What to Teach: Budget-Aware Online Adaptation for Web Agents

arXiv:2609.05513v1 Announce Type: new Abstract: Web agents have achieved significant success in automating complex internet tasks but deploying them in real-әлем environments requires continuous online adaptation. Given that deploying powerful proprietary models remains…

arXiv — cs.AI
Стартаптар1 мин

Recovering Temporal and Geographic Signals from Language Model Embeddings

arXiv:2609.05721v1 Announce Type: new Abstract: Understanding whether language-model embeddings encode structured real-әлем information is important for both representation талдау and information retrieval. We study this question for temporal and geographic signals using a…

arXiv — cs.AI
Зерттеулер1 мин

Beyond Prompts: Measuring and Optimizing LLM Tool-Agent Harnesses

arXiv:2609.05736v1 Announce Type: new Abstract: LLM tool agents can be improved without retraining by modifying the runtime harness around a fixed model: prompts, tool interfaces, middleware, state handling, and recovery logic. We study this setting as resource-bounded harness…

arXiv — cs.AI