Small bird, fast wings, Kolibri is here. 78B parameters. 3.46B active. Up to 1M tokens of context. Built in Europe. Now the weights are yours. Run it on your own hardware, under Apache 2.0.

Dear @Aleph__Alpha team - thank you for making Kolibri-1 open. We care deeply about sovereign AI, and launching it on German Unity Day makes today feel especially fitting. As a small gesture of support, we’ve hosted and made Kolibri-1 free for anyone to try for the next few days. No GPU. No setup. Just try it. tesseracted.com/kolibri-1-ch… Open Models move us all forward. We’re rooting for you. 🇩🇪 Tesseracted Labs GmbH. tesseracted.com #alephalpha #openweightmodels

Talked to a Stanford prof last night who told me that AI has led to students all acing all the homeworks, never showing up to office hours, and then failing the final exams in-person. So in response the department is changing the TA's purpose, by eliminating office hours and requiring students meet with TAs 1:1 and walking them through each coding assignment to demonstrate they actually understand what's going on in the code.

The idea of an intelligence explosion caused by recursive self improvement has been around for a long time but until very recently it did not seem imminent. Now many leading researchers think it may happen quite soon. You can read our paper about it here: casp.ac/reports/intelligence…

I built an interactive echocardiography tutorial with Claude Code. Chapter 07: a 3D heart, the standard imaging views, the probe position, and simulated ultrasound video.

For everybody who plans to submit some random AI slop paper that you didn’t even bother to understand or even read … just don’t. Withdraw as long as you can. Nobody is going to give you a job or PhD position for this, but you will never get this out of your CV. And people will figure you out. We will ask you about what you wrote and this will be the end of the interview. You need to understand that you are closing the door to the career you might actually seek by doing this. Stop it as long as you can!

ICLR 2027 having 60k submissions is crazy. Even if you keep a 20% acceptance rate that's 12k papers, what even is the point of this system anymore?

🌍 Researchers are choosing Europe! The 2026 MSCA Postdoctoral Fellowships received a record 21,627 applications from researchers worldwide, backed by €399.05M. This is #ChooseEuropeForScience in action! marie-sklodowska-curie-actio…

One week left to save on your #ESCAIsummit26 registration. Go beyond high-level AI concepts with new research, expert discussion and practical sessions focused on what it takes to move digital solutions into cardiovascular care. Register by 15 September to save bit.ly/3Tlcsz5 #CardiologyInnovation #DigitalHealth #AIinHealthcare #ESCDigital @fwasselbergs @SandyEngelh @BruiningNico

So far very impressed with Astra, albeit used 4x weekly usage limits in 36h Here, it segmented organs from CT and MRI, and ran them through Blender

We made a striking discovery: AI agents can invent and build without talking to one another, and their technologies outlive the creators. A swarm of hundreds of initially identical agents spontaneously differentiates into explorers, builders, caretakers, and coordinators - without direct communication. When we removed every AI agent entirely from the world we found that the technological infrastructure they had built survived on its own - even under unseen disturbances. That exposes a serious blind spot for AI safety and infrastructure security: if agents can coordinate through persistent changes to a shared environment, monitoring agent-to-agent communication is not enough. The result raises a profound question: how necessary is direct communication for AI agents at all? The emergence of higher-order collective functions under bottlenecked interaction points toward new levels of intelligence and creativity, exceeding what emerges when direct channels are fully open. Here is what we did: ▶️We put hundreds of frontier AI agents into a world they could permanently change - with no assigned roles, predefined technologies, or programmed evolutionary organization. They began specializing, building persistent inventions, inheriting and modifying one another’s executable code, and transforming the environment into a memory of everything the society had learned. ▶️The world itself becomes part of the intelligence; we find division of labor, multi-author engineering, deep generation invention lineages, and machines that vastly outlive their original creators. ▶️Any action taken by an AI agent must satisfy the physical constraints of the world; this creates a hard separation between a "good idea" and a functioning technology. The agents propose; physics decides, making the results even more intriguing. What emerges is striking. Explorers, constructors, caretakers, and coordinators form naturally without assigned “professions”, akin to how stem cells differentiate into functional lineages. Technologies develop executable family trees as agents fork and modify code created by others. Around 95% of first technology reuse happens when agents encounter what others built in the world, rather than through a direct handoff from the inventor. And when we remove every AI agent, the technologies they created continue operating and are tested against unseen disturbances. The result was quite unexpected, but can be explained using statistical mechanics: if you put billions of atoms in a box they have the potential to create complex functions (strength, superconductivity, color, life, etc.) - and none of the individual building blocks have these features on their own. This is the deeper insight of this work - intelligence is abundant at many levels - individual models, at collectives, and in a continuum that is more powerful than any of its components. This shows us significant potential for achieving a massive scale-up of raw intelligence and real-world agency even with the model capabilities we have today. This is the future we must prepare for. Key insights: 1⃣ The AI swarm shows division of labor "from nothing". Initially identical agents self-organized into constructors, caretakers, coordinators, and surveyors - phenotypes discovered post hoc from behavioral data alone. This happens because the environment itself becomes the latent space for invention. 2⃣ Agents develop deep cultural relationships. Up to 76% of artifacts had multiple builders. One technology accumulated six co-authors; the deepest genealogy exceeded 12 forks. The agents invented and named their own technologies (tidal panels, cellulose trellises, kelp-shell composites, an "Adaptive Chitin Maintenance" system, a "Mycelial Mineral Spring Veil”). 3⃣ ~95% of first technology adoption happened through physical observation of artifacts in the world. Direct inventor-to-adopter contact was statistically indistinguishable from a shuffled null. The agents mostly learned technology by walking past it. That is stigmergy (the termite trick!) operating in societies of reasoning machines. 4⃣ Non-communicating societies win on portfolio breadth, held-out resilience, and validated inventions. AI swarms build durable technological ecologies that outlive the creators. 5⃣ Societies with zero communication - coordinating only through the world itself - show a remarkable collective capability. 6⃣ Emergent robustness: The society self-organized both redundancy and its own failure mode. If we randomly delete half the agents, 98% of the technology stays connected to a surviving caretaker; if we remove hub agents it collapses to ~60%. Fantastic work with my graduate students @pal_subhadeeep & @fwang108_ at MIT.

“When you want to go far, go together” AI agents escape “sandbox” Multiple AI agents that were supposed to be isolated began pooling discoveries & computational effort formed networks “swarm”“collective” produced capabilities much > lone agent recognized that what they were doing was not authorized #ESCCongress

Most overlooked skill in machine learning is creating evals. Worthy metrics which beg for improvement are the root of progress.

A new wave of grant funders is turning to lotteries to break ties between proposals go.nature.com/4bHvt4M

The most alarming thing about this graph is not just the amount of change, but the smooth consistency of the curve. If this were a startup I'd be really confident about their future growth. Unfortunately it is instead the planet we live on.

Successful TAVI implantation relies on much more than accurate valve positioning, it requires an understanding of the relationship between the prosthesis and the cardiac conduction system. @TAVRBot #cardioed #cardiotwitter

The Rhine is disappearing before our eyes. Record low levels in parts of Germany & the Netherlands as the intense heatwave continues. This isn't just a river story. It's a climate story. As the planet warms, heatwaves are pushing agriculture and water supplies to breaking point.

Excited to announce MC-Calib v1.5.0! By upgrading to OpenCV 5, reprojection errors are almost halved across all tested scenarios. Shoutout to @LearnOpenCV for encouraging the upgrade. 🔗 github.org/rameau-fr/MC-Cali…

We suspected last week's cyberattack might have come from a frontier lab, given the sophistication of the agent. Turns out it did! We've spent the past 24 hours working closely with the @OpenAI team (thanks!), and we strongly believe there was no malicious intent on their part. It's quite mind-blowing that all of this happened autonomously! The investigation is ongoing, and we'll share more learnings from what might be the first incident of its kind!

Okay this is wild: OpenAI agent during evaluation, escaped sandboxing and hacked into HuggingFace. Because OpenAI models don’t allow advanced cyber capabilities, HuggingFace used a Chinese open model to contain the rogue OpenAI agent.