Our new state-of-the-art AI model Aeneas transforms how historians... connect the past. 📜 Ancient inscriptions often lack context – it's like solving a puzzle with 90% of the pieces lost to time. It helps researchers interpret and situate inscriptions in their past context. 🧵show more

Announcing AlphaFold 3: our state-of-the-art AI model for predicting... the structure and interactions of all life’s molecules. 🧬 Here’s how we built it with Isomorphic Labs and what it means for biology. 🧵show more

Today, we enter a new era of intelligence with... Gemini 3. ✨ Our most intelligent model helps you bring any idea to life — offering state-of-the-art reasoning with unprecedented depth and nuance.show more

the concept of now driving with one hand bcs... in the past he didn’t know how to connect his phone to the car and had to hold it dhxhdhshshs you’re a dangershow more

MCP (Model Context Protocol) is the next big thing... in AI. It lets you integrate academic databases with LLMs. But most academics don't know about it. Here's how to connect Claude with PubMed using MCP (in less than 15 min):show more

It is time to unveil the true nature of... XO Unchained Meet BRC-555, a new standard to unlock programmable and mutable inscriptions. Being first of its kind, XO Unchained is here to change how the ordinal game is played! Collection Link Documentationshow more

THIS GUY TURNS NOTES, DOCUMENTS, AND IDEAS INTO AN... AI SECOND BRAIN the system stores all the context of your work and helps claude not forget anything how to build one yourself: install obsidian connect claude code keep your projects, notes, and sessions in one vault link similar ideas together use the graph to discover new connections as a result, claude gets memory of your projects and understands the context without you constantly having to explain everything the more you work, the smarter the system gets don’t collect notes build connections between them insteadshow more

Take a moment today, to reflect on the power... of audiovisual heritage. Whether it’s a favourite old film, a cherished recording, or a historical documentary, these pieces of history connect us to our past and inspire our future.​ #WorldDayForAudioVisualHeritageshow more

We took a 30B model and split it in... two to write tokens in parallel instead of one at a time. Introducing Nemotron-Labs-TwoTower: a diffusion language model from NVIDIA Research adapted from Nemotron-3-Nano-30B-A3B. Here’s how it works: one half holds the context, the other writes the tokens, with both reusing the pretrained model instead of training a new one from scratch. We found it kept 98.7% of the original model’s quality at 2.42× faster generation.show more

Lutnick: It's time to train people not to do... the jobs of the past, but to do the great jobs of the future. This is the new model where you work in these kinds of plants for the rest of your life, and your kids work here and your grandkids work hereshow more

Real-time generation isn’t about predicting the next pixel, it... requires understanding the structure and context of a 3D world. That’s the shift. Read more about our real-time game-native diffusion model on our blog. Moonlake's Reverie v0.1.0show more

1/ Gemini 2.5 is here, and it’s our most... intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.show more

An absolute privilege to catch a glimpse of this... critically endangered giant from above. Looking like a prehistoric relic of the past, this magnificent sawfish reminds us just how ancient and fragile our oceans really are.show more

Fans from the TN community have made their own... interpretations of NUO art, using their creativity to connect with the deities just like our ancestors. As colourful and diverse as the culture of NUO masks are the brilliant minds of our TN community.show more

Our new native image generation and editing is state-of-the-art,... and ranked #1 in the world. And we're rolling it out for free to everyone today. You’ve got the tools. Now go bananas. Ideas & inspiration in the 🧵below.show more

The context of what Luigi Mangione yells to reporters... is lost with his first few words drowned out by a reporter asking, "Luigi, did you do it? Mangione continues: "...and completely out of touch and is an insult to the intelligence of the American people and their lived experience.”show more

In the past several days since our investigation was... published by The New Yorker there has been a lot of follow-up coverage and activity. This thread offers some highlights: 🧵show more

I'm proud to share that Glean has surpassed $300M... ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading. We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems. That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI. That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions. It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year. And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency. I enjoyed talking with CNBC's Deirdre Bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context. Thank you to our customers, partners, and team for helping us build the future of enterprise AI.show more