
A group of former AI researchers from Google, Apple, and other major tech companies have launched a startup called Trajectory. The company aims to develop a platform that enables AI models to learn continuously from real-world user interactions. Trajectory has secured a $15 million seed round, with notable investors including Jeff Dean and Fei-Fei Li. The startup's approach could transform how companies use AI by reducing the need for in-house engineers and making AI more adaptable to specific business needs.
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© WIRED AIWaymo is introducing its new Ojai robotaxi, a vehicle specifically designed for autonomous driving, in Los Angeles, San Francisco, and Phoenix. This marks a significant shift from previous models, as Ojai is built on a Chinese-made platform by Geely's Zeekr, with Waymo's autonomous systems added in the US. The Ojai features advanced sensor technology and a design aimed at improving accessibility and operational efficiency. While rides are currently free, pending regulatory approval in California, this launch represents a bold step in Waymo's expansion strategy, despite recent operational challenges.
© WIRED AIThe rapid integration of AI into software development is reshaping the industry, particularly affecting new mothers returning from maternity leave. As AI tools become essential for coding tasks, developers like Danielle find their previous skills less relevant, creating a challenging landscape for those re-entering the workforce. This shift is not just about learning new tools but adapting to a fundamentally different job role, where AI handles much of the routine coding work. The pressure to quickly adapt to these changes is compounded by the competitive job market, leaving many to reconsider their career paths in tech.
© WIRED AIIllinois is set to implement the nation's most stringent AI safety regulations with the passage of SB 315, requiring independent audits of AI labs like OpenAI and Google DeepMind. This move positions Illinois as a leader in AI oversight, pushing beyond existing laws in California and New York by mandating third-party verification of safety practices. The bill reflects growing public demand for accountability in AI development and could serve as a model for future federal legislation. As AI companies and safety advocates focus on state-level regulation, Illinois' approach may influence broader policy discussions across the U.S.
© SiftedHenrik Landgren, a former Spotify executive, is leveraging AI to help venture capitalists discern which startups are likely to succeed. By employing cohort analysis, Landgren's approach aims to identify startups that are not just hype. This method groups startups by shared characteristics to predict their potential success, offering a more data-driven approach to investment decisions. The initiative reflects a growing trend of using AI to bring more precision and objectivity to the venture capital industry. This could potentially shift how investments are made, focusing more on data-backed insights rather than intuition alone.
© SiftedInherent, a new AI lab founded by former DeepMind researchers, has secured $50 million in funding to develop 'AI-native science.' This approach aims to integrate human scientific inquiry with advanced AI systems to foster novel discoveries. The startup's platform, Faraday, seeks to address the limitations of current AI by identifying which scientific questions are worth pursuing. With backing from Index Ventures and Radical Ventures, Inherent is poised to explore the intersection of AI and scientific research, potentially transforming how breakthroughs are achieved.
© TechCrunch AIGlean has achieved a remarkable $300 million in annual recurring revenue, tripling its figures in just 15 months. This growth is particularly notable as the company faces new competition from tech giants like Google and Microsoft in the enterprise AI search market. Glean's edge lies in its 'context graph' technology, which enhances AI efficiency by reducing computing costs for enterprises. This feature is increasingly appealing to businesses aiming to manage their AI budgets more effectively. As the market becomes more crowded, Glean's ability to offer tailored AI solutions gives it a significant advantage. The company's revenue model, which includes both consumption-based and hybrid pricing, reflects its adaptability to client needs.