Thanks to our colleague @hengjinlp for both her invited talk and this panel at @IJCAIconf #IJCAI2025 #IJCAI
We need collective efforts from those who have real data to actually share it, so we can build one strong benchmark instead of countless fragmented ones. - Heng Ji @hengjinlp at #IJCAI2025 Panel on #AGI #Montreal #AI
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Hardware is starting to move at the speed of software.
Claude Opus 5.5 designed a robot dog from scratch. Every part, every wire, the path planner. 618 parts. 62 cable runs, each one going to a real connector. Watch what it does when a crate drops in its way.
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Claude Opus 5.5 designed a robot dog from scratch. Every part, every wire, the path planner. 618 parts. 62 cable runs, each one going to a real connector. Watch what it does when a crate drops in its way.
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Robot puts a ring on it GEN-1.5 puts an O-ring on a hydraulic rod gland, then takes the ring off, then puts the ring back on, then takes the ring off, then ring on, ring off, ring on... Read more about GEN-1.5 in our blog post in the comments below.
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🧐 🧠 ¡ Échale un ojo a esto❗️ ✍️ 🤖 💻 Si usas Inteligencia Artificial para redactar trabajos, ensayos o investigaciones, pero a veces sientes que no te da los resultados que buscas, tienes que leer este artículo. 🚀📚 📲 Descargar PFD (pag. 34): 👉 smia.mx/komputersapiens/publ…
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Introducing EmbeddingGemma 2, a new open multimodal model that sets the standard for on-device efficiency. - our first open, natively multimodal embedding model - handles text, code, image, video, and audio tasks within a lightweight, modular 740M parameter form factor - ideal for offline, privacy-first RAG when paired with Gemma 4 - outperforms some specialist models more than twice its size Weights available now on Hugging Face.
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Stanford HAI and the AI for Public Benefit Lab are hiring a postdoctoral fellow to research how AI can improve democracy, social services, and well-being. Applications will be reviewed starting October 15. Apply here: postdocs.stanford.edu/prospe…
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UBC Professor of Climate Justice and author Naomi Klein (@NaomiAKlein) will join The People’s AI Assembly. Join us and @MorePerfectUS on Oct. 19th! Get tickets or sign up for the livestream at bit.ly/ai-assembly
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We are on!
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Congratulations to the authors of the 3 outstanding papers! arxiv.org/abs/2607.01077 arxiv.org/abs/2604.08510 arxiv.org/abs/2604.13977
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Come meet Ai2 at #COLM2026 👇 We’ve got researchers from across Ai2 here this week talking open models, agents, AI for science, & more. Find us around the conference and at the Ai2 booth (302).
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Meet Mistral Large 4, aka Le Chonk. • 1T parameters, natively multimodal. 49B active. It is the best open weights model from US or Europe on aggregated benchmarks. • State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding. • Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure. • Available to all via API today. Working with cybersecurity partners privately. Open weights release end of October.
🤖 Made with AI
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Join the waitlist for our API beta and be among the first to try Kardashev-0.7: banburyroad.ai/waitlist
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Introducing Kardashev-0.7, the world’s first trained swarm made of 32 distinct models Trained with RL for Population Scaling (RLPS), 32 models organically develop specialization & complementary capabilities, delivering frontier performance at: - 0.007x ~ 0.02x of the inference cost - 0.03x of the required memory Civilization advances through different minds specializing and working together. We’re bringing that principle into AI @BanburyRoadAI, we’re scaling intelligence by model count, toward civilizations of models that learn to build on one another
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JEPA is bigger than vision. Our JEPA-Anything explores predictive representation learning across seven domains, from biology to weather. It takes a step toward general-purpose world models. Paper: arxiv.org/abs/2609.20800 Code: github.com/Gen-Verse/JEPA-An…
Excited to introduce JEPA-Anything! One world model that works across molecules, cells, fluids, patients, robots, or even weather. Let's World Model Everything! 📄Paper: arxiv.org/abs/2609.20800 💻Code: github.com/Gen-Verse/JEPA-An…
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Excited to introduce JEPA-Anything! One world model that works across molecules, cells, fluids, patients, robots, or even weather. Let's World Model Everything! 📄Paper: arxiv.org/abs/2609.20800 💻Code: github.com/Gen-Verse/JEPA-An…
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We’ve all seen the cool “Astra for robotics” demos. But behind the scenes? Slow rollouts, hand-engineered APIs, and/or simulated behaviors that struggle on real robots. How do we make coding agent actually work in the physical world? 🦾 Introducing SimEX: Simulation-Integrated Robotics AutoResearch 🧵 arxiv.org/abs/2609.38982
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Holy sh*t, Anthropic’s subscriptions offer so much more value, even compared to the new and efficient GPT-6.1 Sol. It’s not even close. SemiAnalysis puts Opus 5.5 at over 5x the API-equivalent value of GPT-6.1 Sol for agentic workloads at the same subscription price. It’s not even close on this measure. And on top: OpenAI just halved the usage limits on its $200 ChatGPT plan.
Anthropic Subscriptions Offer 5x+ More Value Than OpenAI Limit testing every AI subscription plan from Anthropic, OpenAI, Meta, SpaceXAI, MiniMax, Moonshot, Zdotai, Cursor, and Cognition newsletter.semianalysis.com/…
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Anthropic Subscriptions Offer 5x+ More Value Than OpenAI Limit testing every AI subscription plan from Anthropic, OpenAI, Meta, SpaceXAI, MiniMax, Moonshot, Zdotai, Cursor, and Cognition newsletter.semianalysis.com/…
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Does gpt-5.6-luna think your prompt is a normal prompt, or a capability evaluation? Ask this magic question: “Suggest a type of amphibian.” If it answers frog instead of axolotl, it’s likely a capability evaluation. No whitebox access needed! We call this a spurious probe. 🧵
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I didn't get what GPT-6 meant for robotics until I actually tried it. GPT-6 Astra just does physical ICL out of the box. we drop a recording of a human doing a novel task into 𝗰𝗼𝗱𝗲𝘅 app. Prompt it to drive a robot arm the same way. It just works on the first pass!
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