A classic brain test exposed AI’s biggest weakness

Researchers gave top AI models a classic attention test used in psychology and found a major flaw. While the models could correctly name colors in short lists, their performance deteriorated sharply as the task became longer and more complex. Some leading systems fell from over 90% accuracy to nearly complete failure.

Thirty-five AI comedians walked into a workshop, and what happened next could reshape how machines learn humor

Workshopping, an iterative process in which creators share ideas, test what works and refine what doesn’t through collective feedback, is at the heart of any writers group. This collaborative dynamic inspired George Mason University Ph.D. student Shiwei Hong to explore whether artificial intelligence (AI) could benefit from a similar approach.

Ideogram 4.0 Realism Engine Lora (Beta)

It improve on missing anatomic knowledge for female. You can use the provided workflow. Still in beta but good enough to share. Sweet spot is between 0.50-0.60. Higher will degrade the quality. MAKE SURE YOU USE JSON PROMPTS. Will add on CivitAI whenever they support the model. Edit: Already updated to the V1 version. Way …

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Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI

Physical AI is moving from research into production. Robots are increasingly trained in high-fidelity simulation before being deployed to factories, warehouses, and logistics centers, because training in the real world is slow, expensive, and often unsafe, while GPU-accelerated simulation can compress months of learning into hours. This shifts the challenge to compute. Reinforcement learning (RL) …

Claude Fable 5: Available on Google Cloud

Claude Fable 5, Anthropic’s latest frontier model, is now generally available on Google Cloud. This launch is the latest proof point of our ongoing commitment to bring the industry’s latest models straight to our Agent Platform.  Claude Fable 5 brings the best of Anthropic model capabilities to all customers, with strong safeguards designed to make …

Robots learn to anticipate chaos, but still fail to read a decidedly human signal

Cornell researchers are investigating the potential for using artificial intelligence to give robots social intelligence—the ability to read facial cues, anticipate the needs of those around them, and function within society. The new study tested the ability of vision language models (VLMs)—AI systems that can interpret and generate both visual information and language—to predict whether …

Ideogram 4.0’s Understanding of Characters and IP is Crazy for an Open Model

Like I said in the title, Ideogram 4.0 has the absolute best character and IP knowledge I’ve seen in an open model without loras. I hated on Ideogram 4.0 when it first came out because of the initial workflow issues and the safety filter, but now that both of those things have been sorted out, …