AI company Anthropic claims to withhold powerful cybersecurity AI model Mythos, sparking skepticism and government concern. US treasury secretary and UK MP raise alarm over potential catastrophic cybersecurity risks.
Goldman Sachs CEO collaborates with Anthropic on Mythos AI model for enhanced cybersecurity, monitoring AI advancements for protection. US bank works closely with tech firm to mitigate cybersecurity risks posed by large language models.
Meta is developing an AI clone of Mark Zuckerberg to assist employees with queries using his mannerisms and thoughts. The digital clone aims to help workers feel connected even when the boss is unavailable.
Researchers from MIT, Max Planck Institute, and others develop CompreSSM, a method to compress AI models during training, improving speed and efficiency. By using mathematical tools to identify and remove unnecessary components early on, CompreSSM achieves faster training without sacrificing accuracy.
Article showcases Decision Tree Regression from Scratch Using JavaScript in Microsoft Visual Studio Magazine. Implementation details and demo results highlight flexibility and accuracy of the model.
MIT's Michal Masny explores the value of work beyond a paycheck, advocating for a balanced approach to work and leisure. The NC Ethics of Technology Fellowship aims to bridge the gap between scientists and philosophers in addressing ethical challenges in technology and AI.
OpenAI delays Stargate UK project due to energy costs & regulation, impacting UK's AI growth strategy after US investment announcement.
Pentagon official profited up to $24m selling investment in Elon Musk's AI company. Conflict of interest concerns raised.
Elon Musk's xAI sues Colorado over new AI law infringing on first amendment rights, aiming to block enforcement in June. Law targets algorithmic discrimination in education, employment, healthcare, housing, and financial services.
Meta unveils Muse Spark AI model to compete with OpenAI, Google, and Anthropic in language tasks. The costly team aims to propel Meta back into the top ranks of AI with new "superintelligence" models like Muse Spark.
Amazon Bedrock AgentCore Runtime now offers stateful MCP client capabilities, enabling interactive, multi-turn agent workflows previously impossible with stateless implementations. This new feature introduces Elicitation, Sampling, and Progress notification, transforming tool execution into bidirectional conversations for developers building AI agents.
Amazon Bedrock AgentCore introduces AWS Agent Registry to streamline agent discovery, sharing, and reuse across enterprises. The registry tackles challenges of agent sprawl, visibility, control, and reuse by providing a centralized platform for building, publishing, and governing AI agents and tools across various cloud platforms and environments.
Amazon Bedrock regularly updates foundation models for improved capabilities. Understanding model lifecycle is key for managing AI applications effectively on Amazon Bedrock, with transitions from Active to Legacy to End-of-Life states.
Amazon Bedrock AgentCore Browser BrowserLiveView component provides real-time video feed of AI agent's browsing session in React applications, enhancing user trust and control. Embedding Live View allows users to observe agent actions, boosting confidence, compliance, and real-time supervision capabilities.
AI agents in healthcare require human oversight for regulatory compliance and patient safety. Learn how AWS services enable human-in-the-loop constructs for efficient and secure automation in healthcare and life sciences.