Google Releases Three New Gemini Models — But No 3.5 Pro
Google has unveiled three new Gemini models: 3.6 Flash, 3.5 Flash-Lite, and Flash Cyber, yet the absence of Gemini 3.5 Pro continues to spark questions about its AI roadmap.
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Safety and Alignment in an Era of Long-Horizon Models
OpenAI shares critical lessons from deploying long-running AI models, highlighting new safety risks, observed failures, and improved safeguards through iterative deployment.
AI Music Generator Suno Breach Exposes 55 Million Users
A data breach at AI music platform Suno has compromised the personal information of 55 million users, including names, phone numbers, and physical addresses.
Deezer Reports Over 50% of Daily Uploads Are Now AI-Generated
Deezer reveals that more than half of its daily music uploads are AI-generated, with over 90,000 AI tracks uploaded each day in June.
Gritt Emerges from Stealth with $34M to Automate Solar Plant Construction—and Beyond
Gritt, a robotics startup, has raised $34 million to deploy autonomous robots for building solar plants and other heavy construction tasks.
Anthropic’s $1.5B Copyright Settlement Gets Final Approval
A landmark copyright settlement involving AI training data has been approved, but the broader legal questions remain unresolved.
A Scorecard for the AI Age: Measuring What Matters
OpenAI CFO Sarah Friar introduces a practical AI scorecard to measure ROI through useful work, cost per successful task, dependability, and return on compute.
Google Develops New AI Chip to Boost Gemini Efficiency
Alphabet is reportedly working on a custom chip designed to make its Gemini AI models run more efficiently, signaling a strategic push toward hardware optimization.
AI’s Most Important Protocol Is Getting a Little Bit Easier to Use
The Model Context Protocol (MCP) is simplifying how AI models connect to external data sources, reducing the need for custom integrations.
OpenAI Is Worried About Open-Weight Models. Should the US Be?
The debate over banning Chinese-made open-weight LLMs highlights the difficulty of turning AI into a profitable business.