
AI and tech news decoded for builders, founders, and indie hackers.
Google rebrands NotebookLM to Gemini Notebook, adding native code execution and secure cloud compute for source-grounded data analysis. Rollout starts with AI Ultra and Workspace plans, with Pro access coming in weeks. Notebooks now sync across the Gemini app and Google Search.
EU DMA rules force Google to share search data and open Android to rival AI. Builders get new opportunities but face privacy and security trade-offs.
Fireworks AI raised $1.5B in Series D funding at a $17.5B valuation, signaling strong demand for cloud-native AI training and inference infrastructure.
Publishers like Axios, Forbes, and Time are using AI visibility in LLMs as a new performance metric and GEO offering for brands, even as measurement remains inconsistent and unstandardized.
TCS launched the Autonomous Engineering Lab Powered by NVIDIA at its Bengaluru Global Axis campus to accelerate AI deployment from pilot to production for mobility and manufacturing sectors.
Colorado's HB1195 mandates therapists to be actively logged into AI systems and monitor client-AI interactions in real time during psychotherapy. The law aims to protect clients but may discourage AI adoption and push users toward unsupervised AI use.
ConlangCrafter is a new tool that uses large language models to construct brand-new languages by breaking the task into sub-problems. The researchers created over 60 languages and released the code publicly.
Fujitsu, Nvidia, Fanuc, Yaskawa, and Kawasaki Heavy Industries announced a collaboration to develop physical AI robots for factories, homes, and hospitals, with a first phase later in 2026.
Spectro Cloud raised $100M at a $1B+ valuation led by Goldman Sachs Growth Equity to manage AI token costs, signaling investor focus on reducing AI operating expenses in 2026.
OpenAI detailed GPT-Red, an internal AI system that uses self-play reinforcement learning to attack its own models and surface prompt injection vulnerabilities, achieving 84% success rate vs 13% for human red-teamers.
Developers showcased five GPT-5.6-powered projects to Sam Altman, including autonomous agents, live data maps, and camera-verified games, highlighting the model's ability to power end-to-end applications.