Technology News

Anthropic Launches Bloom: An Open-Source Framework for AI Model Evaluation Anthropic has launched Bloom, an open-source agentic framework engineered to automate behavioral evaluations of advanced AI models. This innovative tool enables researchers to define a specific behavior and then automatically generate numerous test scenarios to measure its frequency and severity. The primary goal of Bloom is to accelerate the creation of high-quality safety and alignment evaluations, which are often labor-intensive and can quickly become obsolete as AI models advance. Anthropic has already utilized Bloom to build and release benchmark results for four key alignment-relevant behaviors across 16 different frontier models. The framework also integrates with popular tools like Weights and Biases for large-scale experiments and complements Anthropic’s other open-source evaluation tool, Petri. ...

AI and Human Collaboration Boosts Self-Driving Lab Performance by 150% Researchers at Argonne National Laboratory and the University of Chicago have developed a new shared control framework for self-driving laboratories, where human scientists and AI collaborate on the discovery process. This innovative approach has already yielded a 150% increase in mix conducting performance for MIECPs over previous methods. In this model, the AI advisor suggests potential actions, but the human researcher makes the final decision. The team’s future goal is to create a tighter feedback loop where the AI can learn directly from human choices, refining its own decision-making models to better mimic expert intuition. ...

Leaked Trump Administration Draft Order Aims to Block State AI Laws A leaked draft executive order from a potential Trump administration reveals a plan to preempt states from enacting their own artificial intelligence laws. The proposed order suggests using the withholding of federal funds, including from the Broadband Equity, Access, and Deployment (BEAD) program, as leverage against states that implement “onerous” AI regulations. The document also outlines the creation of a Department of Justice task force to legally challenge state-level AI legislation. This move is widely seen as an attempt to establish a single federal standard for AI, a position President Trump has previously supported on social media. The proposal has drawn sharp criticism from civil society groups, who argue it represents federal overreach and undermines state-level consumer protection efforts. ...

Google Launches Gemini Enterprise: AI Agents for the Workplace Google has officially launched Gemini Enterprise, a new platform designed to integrate powerful AI agents into workplace workflows. This new offering consolidates Google’s AI models, including the new Gemini 2.5 Flash Image, with a no-code workbench for building and managing these agents. The platform aims to automate complex business processes and significantly increase productivity across organizations. Gemini Enterprise will feature pre-built agents for specialized tasks and will integrate with company data through connectors for systems like Microsoft Teams and Salesforce. The service is priced starting at $30 per user per month. To support adoption, Google is also launching a free learning platform, Google Skills, with a program that aims to enable one million developers to build and deploy agents. ...

Artificial Intelligence & Machine Learning Google’s AI Chief: ‘Learning to Learn’ is the Most Critical Future Skill Demis Hassabis, CEO of Google’s DeepMind and a 2024 Nobel laureate, stated that the most crucial skill for the next generation will be ’learning how to learn’ to adapt to rapid advancements in Artificial Intelligence. Speaking in Athens, Hassabis highlighted the difficulty in predicting the future landscape given the weekly evolution of AI but asserted that significant change is inevitable. He suggested that artificial general intelligence (AGI) could be achieved within the next decade, leading to substantial progress. During the same event, Greek Prime Minister Kyriakos Mitsotakis expressed concerns that the immense wealth generated by a few large tech companies in the AI revolution could lead to significant social unrest if the benefits are not widely distributed. ...