
2020-6 @RealAAAI+ @FAccTConference @iclr_conf @CVPR @aclmeeting @icmlconf @NeurIPSConf @COLING2020 @IJCAIconf @eaclmeeting @AIESconf @blackinxnetwork @AAMASconf
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Joined December 2019
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Diversity in AI @ IJCAI 2026 retweeted
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.
Diversity in AI @ IJCAI 2026 retweeted

Generalist@GeneralistAIOct 6
United States
United StatesConnected via WebAccount-level information, not a live location or per-post device.
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.
🧐 🧠 ¡ 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…
Diversity in AI @ IJCAI 2026 retweeted
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.
Diversity in AI @ IJCAI 2026 retweeted
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…
Diversity in AI @ IJCAI 2026 retweeted
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
Diversity in AI @ IJCAI 2026 retweeted
Congratulations to the authors of the 3 outstanding papers!
arxiv.org/abs/2607.01077
arxiv.org/abs/2604.08510
arxiv.org/abs/2604.13977
Diversity in AI @ IJCAI 2026 retweeted
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
Diversity in AI @ IJCAI 2026 retweeted
Join the waitlist for our API beta and be among the first to try Kardashev-0.7: banburyroad.ai/waitlist
Diversity in AI @ IJCAI 2026 retweeted
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
Diversity in AI @ IJCAI 2026 retweeted
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…
Diversity in AI @ IJCAI 2026 retweeted
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…
Diversity in AI @ IJCAI 2026 retweeted
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
Diversity in AI @ IJCAI 2026 retweeted
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/…
Diversity in AI @ IJCAI 2026 retweeted
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/…
Diversity in AI @ IJCAI 2026 retweeted
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. 🧵
Diversity in AI @ IJCAI 2026 retweeted
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!






























