Good morning from OWITH.ai, the podcast that gives you only what's important to hear in the AI and tech world. In Washington, D.C., AI security experts gathered to tackle the mounting risks associated with advanced AI systems, such as Anthropic's Mythos. The meeting brought together AI security practitioners, standards-setters, and policy experts to discuss the challenges of securing AI systems in an environment that often favors attackers. The integration of AI into vital workflows and the exposure of sensitive data have amplified security concerns. Rob van der Veer, an AI security leader, emphasized the urgency of addressing vulnerabilities that attackers can now exploit more swiftly and on a larger scale. Despite existing frameworks, AI security regulations struggle to keep pace with rapidly evolving threats. Gary McGraw highlighted the need for benchmarks that measure AI system security beyond mere performance metrics. Additionally, Apostol Vassilev from NIST pointed out the necessity for continuous updates and resilience strategies in AI security. The conference stressed the importance of industry coordination to align standards and reduce fragmentation in AI security guidance. Transitioning now to the economic implications of AI, a Fed study attributes a $200 billion addition to the trade deficit to the AI boom. Political debates are also intensifying over the influence of AI-linked funding in U.S. elections. Concerns over AI's role in social engineering are on the rise, with advanced models executing convincing phishing attempts. Moving on to venture capital news, investors are increasingly focusing on data "translation" as a key element for transforming enterprise data into actionable business insights. Omni, a startup addressing this challenge, recently secured $120 million in a Series C funding round. The company aims to bridge the gap between raw data and practical application through a "semantic layer," which defines key business metrics and controls data access. Omni faces competition from significant players but has achieved notable growth and profitability. The market for semantic layers is expected to grow significantly, reflecting a broader shift in how enterprises utilize AI and data analytics. In other tech developments, Google has announced its eighth-generation custom AI chips designed to optimize large-scale pre-training and reasoning processes. These chips will be integrated into Google's supercomputers, potentially driving significant revenue growth for Alphabet. Meanwhile, Microsoft decided against acquiring the AI coding startup Cursor amidst growing competition in the AI coding tools market. Turning our attention now to governance and regulation in tech markets, prediction markets platform Kalshi suspended three political candidates for insider trading related to their campaigns. This action underscores Kalshi's commitment to preventing such activities while being regulated by the Commodity Futures Trading Commission. Finally, let's delve into recent airline industry news: In April 2026, discussions emerged about a potential bailout for Spirit Airlines by the Trump administration. This move could provide Spirit with financial support in exchange for government equity stakes. The bailout is controversial given Spirit's small market share and previous financial struggles. And that's all for today's episode from OWITH.ai. Stay tuned for more insights on what's shaping the world of technology and artificial intelligence!

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Google's New AI Chips Boost Revenue | OWITH Daily