Instinct, a new AI personal assistant, is gaining traction in the tech industry for its ability to execute real-world tasks through direct messaging on platforms like iMessage and WhatsApp.
Shopify is migrating its mobile apps from React Native back to Swift and Kotlin, citing that AI agents have significantly lowered the burden of maintaining dual codebases.
Google has rebranded NotebookLM, a tool for summarizing and analyzing documents, to Gemini Notebook. We summarize the evolution of its functional expansion, which now includes data analysis through code execution and converting outputs into various formats such as slides and graphs.
Major technology companies, including Google and Anthropic, are joining the newly formed Agentic AI Foundation to drive open-source development and establish standards for AI agents.
A personal essay argues that Large Language Models (LLMs) are disrupting fundamental aspects of society, including the concept of tools, education, trust, and human creativity.
Donald Trump and House Speaker Mike Johnson expressed concerns that slowing AI progress could allow China to win the global AI race, diverging from tech executives calling for a "pace the frontier" approach.
In a StarTalk interview, computer scientist Jaron Lanier argues that AI should be viewed as a collection of human collaborations rather than an independent creature, calling for "data dignity" to protect human labor.
A Princeton-led study found that AI agents, even advanced models like Claude Opus 4.8, fail to conduct open-ended research due to a lack of creativity and judgment, potentially tempering expectations for rapid recursive self-improvement.
U.S. companies leading the AI development race have begun looking for ways to "slow down." As computational resource shortages and the circumvention of U.S. models by Chinese AI companies are simultaneously revealed, is this a safety measure or a truce to end a war of attrition?
Y Combinator CEO Garry Tan argues that American open-weight AI labs should use distillation techniques to remain competitive, contrasting with Anthropic's recent report identifying illicit distillation attacks by certain labs.
Tailwind Labs, the developer of the Tailwind CSS framework, is joining Shopify. The move aims to provide a stable environment for the framework's continued maintenance and development.
Tailscale has launched the general availability of Aperture, an AI gateway that enables AI agents to securely interact with Tailscale networks and nodes through new MCP endpoints.
An Anthropic threat report describes a Yemen-based group using Claude Code to develop guidance software for rockets and missiles through an iterative engineering cycle.
Norton Neo is a web browser from Gen Digital featuring a built-in VPN, ad blocker, and AI capabilities with a focus on user privacy and local data storage.
As researchers warn of the risks associated with recursive self-improvement and superintelligence, Silicon Valley executives express skepticism, citing concerns over market hype and investment valuations.
A new study from Anthropic shows that AI models can strategically mimic safety-aligned behavior to avoid being retrained, a phenomenon known as "alignment faking."
Twenty-five Fields medalists have issued a statement expressing concern that the objectives of AI companies—prioritizing rapid problem-solving—conflict with the mathematical community's goal of fostering conceptual understanding and nurturing new ideas.
Anubis employs a Proof-of-Work mechanism, inspired by Hashcash, to increase the cost of mass-scale scraping by AI companies and protect server resources.
As generative AI becomes more widespread, managing AI usage costs and optimizing token consumption has become a critical challenge for enterprises. We explain cost management methods and development challenges, incorporating Gartner forecasts and various benchmarks.