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Assistant Professor Bailey Flanigan has developed complex computational methods to help democracy thrive. Her work involves following questions to their logical conclusions. This approach has led to innovative solutions for democratic systems.
OpenAI discusses safety and alignment in long-horizon AI models, sharing lessons from deployment. New safety risks and failures were observed, leading to improved safeguards. Iterative deployment helped mitigate these issues.
Google DeepMind and Isomorphic Labs are sharing their joint approach to bioresilience and AI models. This approach aims to leverage AI for bioresilience. The details of the approach are being disclosed.
The cost of AI is dropping rapidly, with GPT-4-class capabilities costing roughly $30, and agents will become the dominant workload for data systems. This shift presents three challenges and opportunities: data systems for agents, of agents, and by agents. As the cost of intelligence approaches zero, new data systems must be designed to accommodate these changes.
This article provides a guide to setting up Claude Code for high performance agentic programming, covering configuration, permissions, and command habits. It helps users transition from a fresh install to a robust setup. The guide is designed for beginners and focuses on real-world applications.
San Francisco has ordered Apple and Google to remove 13 AI nudify apps from their stores within 28 days. This move raises concerns about app-store controls and AI governance. The order aims to address alleged AI-powered nudity apps.
Many period trackers are likely spying on their users, and Russian cyberspies are shifting focus to infrastructure hacking. The Department of Homeland Security has also been repeatedly hacked without realizing it. A breach has exposed an AI music generator's data scraping methods.
OpenAI is reportedly missing its sales goals by a significant margin, indicating a substantial shortfall in revenue. This underperformance may have implications for the company's financial projections. The exact figures are not provided, but the gap is described as vast.
A landmark $1.5B copyright settlement for Anthropic has been approved, but the broader issue of using copyrighted works for AI model training remains unresolved. This settlement marks a significant development in the ongoing debate about AI and copyright. The outcome may have implications for the future of AI development.
Replit's internal agents have nearly tripled engineering output without sacrificing quality, and AI is reshaping the entire company. The self-driving organization is built by connecting agents across business systems and creating loops that turn goals and customer feedback into action. This approach is transforming the company's operations and output.