Two AI Tokens Lead May Rally, But Risks Are Rising

OpenAI's move towards independence could reshape cloud dynamics, fostering competition and potentially altering AI market power structures. The post OpenAI and Microsoft cap revenue-sharing at $38B as AI giant eyes independence appeared first on Crypto Briefing.

Graduation season is upon us, and with it a time for education leaders to consider the dynamic new realities for which they're preparing students. IT careers are still a hot ticket, but the job market is changing.

Nearly halfway into 2026, enterprises are beginning to see tangible returns on their AI investments. Yet many are discovering that scaling requires something far less glamorous than flashy frontier models and state-of-the-art benchmarking: Clean, interoperable, governed data. According to a new AI Momentum Survey from Dun & Bradstreet, 97% of organizations report active AI initiatives, but just 5% say their data is ready to support them. This reflects the messy reality of AI as enterprises struggle to move beyond experimentation to operationalization. “You do not need enterprise-wide AI-ready data to launch pilots or isolated AI use cases,” said Cayetano Gea-Carrasco, Dun & Bradstreet’s chief strategy officer. “But you do need it to scale AI reliably across mission-critical workflows and systems.” Early gains seen Organizations are all-in on AI in 2026 and view it as a mission-critical imperative, according to the D&B report. Well over half (67%) are seeing “early signs or pockets” of

Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what's in your tabs, compare the products you're looking at, summarize your open articles, and more. In its announcement, Microsoft says you can "select which experiences you want or leave off the ones you don't." The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a reservation on your behalf. Microsoft has since folded these … Read the full story at The Verge.

The post Poly Truth: The AI That Reads the Internet Before You Place a Prediction appeared on BitcoinEthereumNews.com. Most people entering a prediction market are working with incomplete information. They see a question, a set of outcomes, and current odds shaped by whoever placed money before them. That is not analysis, that is crowd sentiment dressed up as a signal. Poly Truth is built around a different premise: before you commit to a position, you should know what the data actually says. The project describes itself as a prediction market intelligence tool, one that automates the research process and delivers probability-backed insights on active events across sports, politics, crypto, and beyond. How Poly Truth Approaches Prediction Market Research The core idea is straightforward. Prediction markets move fast, and useful data is scattered across dozens of sources. Manually tracking all of it before an event closes is not realistic for most participants. Poly Truth automates that

The post CZ says he prefers AI “shovels” over AI itself as infrastructure race intensifies appeared on BitcoinEthereumNews.com. Binance founder Zhao Changpeng (CZ) said he prefers investing in the underlying infrastructure powering artificial intelligence rather than AI applications themselves, framing the current boom as an “infrastructure-first” investment cycle. Summary Binance founder Zhao Changpeng says he favors investing in AI infrastructure such as data centers and energy systems over AI applications. He highlights NVIDIA’s dominance in AI chips but expects more customized compute solutions to emerge over time. His investment firm still allocates 70%–80% of capital to Web3, keeping crypto as the core focus. Speaking during a Binance online livestream, CZ described his preferred strategy as focusing on the “shovels” of AI — including data centers, power supply systems and large-scale computing infrastructure required to support model training and inference workloads. His comment

AI's role in education highlights the importance of skepticism and critical thinking for future generations. The post Joanna Stern: Wearable AI devices have fallen short, the enduring role of smartphones in our lives, and the psychological effects of AI on human behavior | Big Technology appeared first on Crypto Briefing.

Old "honor code" systems are under strain.