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How AWS delivers generative AI to the public sector in weeks, not years

When critical services depend on quick action, from the safety of vulnerable children to environmental protection, you need working AI solutions in weeks, not years. Amazon recently announced an investment of up to $50 billion in expanded AI and supercomputing infrastructure for US government agencies, demonstrating both the urgency and commitment from Amazon Web Services …

Z.ai debuts open source GLM-4.6V, a native tool-calling vision model for multimodal reasoning

Chinese AI startup Zhipu AI aka Z.ai has released its GLM-4.6V series, a new generation of open-source vision-language models (VLMs) optimized for multimodal reasoning, frontend automation, and high-efficiency deployment. The release includes two models in “large” and “small” sizes: GLM-4.6V (106B), a larger 106-billion parameter model aimed at cloud-scale inference GLM-4.6V-Flash (9B), a smaller model …

This tiny implant sends secret messages to the brain

Researchers have built a fully implantable device that sends light-based messages directly to the brain. Mice learned to interpret these artificial patterns as meaningful signals, even without touch, sight, or sound. The system uses up to 64 micro-LEDs to create complex neural patterns that resemble natural sensory activity. It could pave the way for next-generation …

Speech-to-reality system creates objects on demand using AI and robotics

Generative AI and robotics are moving us ever closer to the day when we can ask for an object and have it created within a few minutes. In fact, MIT researchers have developed a speech-to-reality system, an AI-driven workflow that allows them to provide input to a robotic arm and “speak objects into existence,” creating …

Why AI coding agents aren’t production-ready: Brittle context windows, broken refactors, missing operational awareness

Remember this Quora comment (which also became a meme)? (Source: Quora) In the pre-large language model (LLM) Stack Overflow era, the challenge was discerning which code snippets to adopt and adapt effectively. Now, while generating code has become trivially easy, the more profound challenge lies in reliably identifying and integrating high-quality, enterprise-grade code into production …