
“The experiments are still in the queue. The PR is already live,” says one expert.
An AI company announced that its large language model identified an enzyme system with features similar to a Nobel Prize-winning gene-editing tool by searching through genomic databases. The discovery matters because tech executives have long claimed AI could accelerate biology discoveries, and this represents one of the first concrete examples, though scientists remain skeptical about its practical applications. The system was found by having AI agents search for patterns in vast amounts of genetic data, a task that would normally take months of manual work. However, significant lab testing is still needed to determine whether this enzyme system can actually be used as a gene-editing tool, and experts caution that translating basic science discoveries into useful medical applications typically takes decades.

Google Research has announced a next-generation Federated Learning (FL) system built on Trusted Execution Environments (TEEs). The research team claims externally verifiable central differential privacy (DP) guarantees for FL for the first time. What Problem Does TEE-Based Federated Learning Solve? Google introduced Federated Learning FL in 2017. It powers next-word prediction and Smart Compose on Gboard, reply suggestions in Google Messages, and Smart Text Selection in Android. Earli

Aleph Alpha has released Kolibri, an open-weight Mixture-of-Experts (MoE) language model built for German and English. Kolibri has 78.1B total parameters but activates only 3.46B, or 4.4%, per token. It accepts up to 1,048,576 tokens of context, lets users set reasoning effort per request, and ships under the Apache 2.0 license on Hugging Face. The target is sovereign deployment in regulated sectors such as public administration, industry and aerospace. Is it deployable? Yes. The FP8 checkpo

What are Decision AI Models? Decision AI models are a new class of model that returns a decision, not a paragraph. You send text with typed questions. The model returns choices, scores or yes/no probabilities your code can branch on directly. The category went mainstream when TypeSafe AI launched Jev after 2 years in stealth. TypeSafe calls it a ‘System One model,’ after Daniel Kahneman’s fast, intuitive System 1 thinking. Within 3 weeks, Fastino Labs shipped 2 rival
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