Welcome to The Daily AI Briefing! Today we're bringing you the most significant developments in artificial intelligence that are shaping our world right now. From groundbreaking research agents to transformative business implementations, the pace of AI innovation shows no signs of slowing. Let's dive into today's most impactful AI stories that are defining the future of technology and business. In today's briefing, we'll explore FutureHouse's new suite of "superintelligent" science agents, examine Salesforce's insights from their Agentforce implementation, unpack Apple's strategic partnership with Anthropic, discover how to create interactive AI-powered crosswords, look at Tavus' video agent technology, and review Google's approach to AI infrastructure challenges. First up, Eric Schmidt-backed FutureHouse has launched specialized AI research agents designed to transform scientific discovery. The platform offers four specialized agents: Crow for general research, Falcon for literature reviews, Owl for identifying previous research, and Phoenix for chemistry workflows. What makes this remarkable is the claim that these agents perform at superhuman levels in literature search and synthesis, outperforming both PhD researchers and traditional search models. With transparent reasoning capabilities and access to specialized scientific databases, FutureHouse is positioned at the forefront of the AI science revolution. Shifting to business implementation, Salesforce has reported impressive results from their Agentforce AI support system. After just six months of operation, AI agents have successfully handled over 500,000 customer conversations. The key takeaway? Support teams now have more bandwidth for high-touch engagements, while finding the right balance between human and AI support remains crucial for customer success. In major tech partnership news, Apple is reportedly teaming up with Anthropic to develop an AI-powered "vibe-coding" platform for their Xcode software. This collaboration will utilize Anthropic's Claude Sonnet model to create a conversational interface for programming tasks. Apple seems to be diversifying its AI partnerships, reportedly planning to add Google's Gemini later this year alongside their existing OpenAI integration. This shift toward external partnerships suggests Apple may be prioritizing functional products over developing proprietary models. For educators and content creators, combining NotebookLM with CrosswordLabs offers an innovative way to create engaging learning materials. The process is straightforward: upload your lesson content to NotebookLM, prompt the AI to generate crossword clues, and paste these directly into CrosswordLabs to build custom puzzles. This practical application demonstrates how AI can enhance educational engagement. Tavus' AI video agents are pushing boundaries in visual representation. Their technology recently made headlines when a Tavus avatar appeared in a New York courtroom. The platform enables users to build real-time video agents in over 30 languages with natural expressions and tool-calling capabilities, opening new possibilities for scaling human-like interactions. Finally, Google is addressing critical infrastructure challenges supporting the AI boom. Their new policy roadmap outlines 15 proposals focusing on energy generation, grid modernization, and workforce development. Notably, Google is funding the Electrical Training Alliance to help train 130,000 electrical workers needed to support AI infrastructure, targeting a 70% increase in the workforce by 2030. As we wrap up today's briefing, it's clear that AI is advancing on multiple fronts simultaneously. From specialized research tools to infrastructure planning, we're witnessing both immediate applications and long-term strategic development. These innovations aren't just technical achievements—they represent fundamental shifts in how we approach scientific discovery, customer service, programming, educ