Designing AI for Disruptive Science

Why scaling AI won’t automatically lead to paradigm shifts.

Why Strong Consistency? - Marc's Blog

How A.I. and Social Media Contribute to ‘Brain Rot’

A.I. search tools, chatbots and social media are associated with lower cognitive performance, studies say. What to do?

Failing to Understand the Exponential, Again

Posts and writings by Julian Schrittwieser

The Four Fallacies of Modern AI

And Why Believing in Them Hinders Progress

Memory is slow, Disk is fast - Part 1

Some thoughts on LLMs and Software Development

a short post

Bloom Filters by Example

Qwen VLo: From "Understanding" the World to "Depicting" It

QWEN CHAT DISCORD Introduction The evolution of multimodal large models is continually pushing the boundaries of what we believe technology can achieve. From the initial QwenVL to the latest Qwen2.5 VL, we have made progress in enhancing the model’s ability to understand image content. Today, we are excited to introduce a new model, Qwen VLo, a unified multimodal understanding and generation model. This newly upgraded model not only “understands” the world but also generates high-quality recreations based on that understanding, truly bridging the gap between perception and creation.