The worlds are simulators, not image sets: built to extend to new tasks. Early access is on Hugging Face and relantic.com/realitybench Check out our video below.

We created simulated environments in Blender for benchmarking VLMs on real world physical work perception and reasoning tasks. Think construction and maintenance of houses and cars.

gosh, the purely linear, non-differential, non-branching, non-layered UI paradigms around LLMs is such a curse. it's like we've thrown out every piece of cognitive infrastructure we've built since the invention of two way oral communication

Here is my latest article on the world of databases: cs.cmu.edu/~pavlo/blog/2026/… All the hot topics from the last year: • More Postgres action! • MCP for everyone! • MongoDB gets litigious with FerretDB! • File formats! • Market movements! • The richest person in the world!

In 2026, I expect we’ll see the birth of the first AI-native university. Over the past several years, universities have dabbled in AI-enabled grading, tutoring, and scheduling. But what’s emerging now is deeper, an adaptive academic organism that learns and optimizes itself in real time. Picture an institution where courses, advising, research collaboration, and even building operations continuously adapt based on data feedback loops. Schedules optimize themselves. Reading lists evolve nightly and rewrite themselves as new research appears. Learning paths shift in real time to meet each student’s pace and context. We’re already seeing precursors. ASU’s campus-wide partnership with OpenAI produced hundreds of AI-driven projects across teaching and administration. SUNY now embeds AI literacy into its general education requirements. These are the building blocks for more foundational deployment. In the AI-native university, professors become architects of learning, curating data, tuning models, and teaching students how to interrogate machine reasoning Assessment shifts, too. Detection tools and plagiarism bans give way to AI-aware evaluation, grading students on how they use AI, not whether they used it. Transparency and tactful application replaces prohibition. And as every industry struggles to hire people who can design, govern, and collaborate with AI systems, this new university becomes the training ground, producing graduates fluent in orchestration who help augment a rapidly shifting workforce. This AI-native university will become the talent engine for a new economy. Do you think an AI native university will arise in 2026? Leave your thoughts in the comments.