AI News
500 articles — Page 14 of 42
Amazon employees say they’re facing termination for backing data center limits
- **AI - **Report - **Tech # Amazon employees say they’re facing termination for backing data center limits After speaking up for regulation on data centers, Seattle activists say they were called i...
Barret Zoph is out at OpenAI again after just five months
- **AI - **Report - **OpenAI # Barret Zoph is out at OpenAI again after just five months He rejoined the company in January after a stint as co-founder of Mira Murati’s competitor, Thinking Machines...
The film about Sam Altman has been dropped by Amazon MGM
- **AI - **News - **OpenAI # The film about Sam Altman has been dropped by Amazon MGM The film, directed by Luca Guadagnino, covers the week in 2023 that the OpenAI CEO was fired and re-hired. The ...
The Atlantic created a searchable database of the music used to train AI
- **AI - **Entertainment - **News # The Atlantic created a searchable database of the music used to train AI Millions of tracks are freely available in datasets, even if they’re not supposed to be. ...
AI in Real Life: AI-Trained Music Databases, Dating App Backlash, and the Slow Tech Movement
A comprehensive roundup of 5 recent AI news stories about ai in everyday life, including reports from TechCrunch AI, Ars Technica, The Verge AI.
Roblox adopts AI-powered age verification to boost child safety
Roblox is implementing a global, AI-powered age verification system to strengthen safety for minors. By the end of 2025, users will verify ages via selfies, government IDs, or parental consent, with biometric data handled by a third party and deletion rules intended to protect privacy. The change signals a broader push for stricter age assurance online.
CrateDB unlocks real-time AI with millisecond queries
CrateDB presents itself as a real-time data platform for AI, built to handle diverse data types with horizontal scalability. The company highlights benchmarks showing faster query responses than traditional databases and cites real-world use cases—fraud detection and IoT analytics—where decisions occur in milliseconds rather than minutes.
OpenAI expands free features, acquires Alex team to boost developer tools
OpenAI is widening access to its tools by moving a premium feature to all users and acquiring Alex, the Xcode AI assistant team, to strengthen Codex's presence in the Apple developer ecosystem. The moves signal a dual strategy: broaden reach and deepen capabilities for developers.
Universities Appoint Chief AI Officers to Lead Campus AI Strategy
American universities are creating Chief AI Officer (CAIO) roles to coordinate campus-wide AI initiatives, ethics, and governance. Early adopters such as George Mason University, UCLA, and the University of Arizona aim to align research, teaching, and administration with AI's opportunities and risks, following a federal push that has already mandated CAIOs in government agencies. This new leadership is meant to bridge departments, enforce guidelines, and steer responsible AI adoption across campus.
Scale AI sues rival Mercor over data-labeling trade secrets in high-stakes battle
Scale AI has filed a California lawsuit accusing Mercor and a former executive of misappropriating confidential documents and attempting to poach a key client. The case highlights the fierce competition in AI data labeling, a foundational element for training advanced models, and underscores the industry-wide tensions around trade secrets and talent movement.
AI Wargames expose de-escalation gap in LLMs
Recent simulations show large language models struggle to de-escalate conflicts, often escalating toward militarized responses and, in some cases, nuclear options. The findings from collaborations among leading universities and AI labs raise concerns about deploying LLMs in high-stakes diplomacy and defense without stronger safety and alignment. The studies call for more rigorous evaluation before real-world use.
Apertus opens AI: Switzerland's transparent LLM challenges giants
Switzerland's Apertus introduces a fully open, auditable large language model developed by EPFL, ETH Zurich, and CSCS. It pledges complete transparency—from architecture to training data and development steps—making it a counterweight to opaque, corporate models. The move aims to advance sovereignty, ethics, and regulator-friendly AI while inviting researchers and regulators to review every facet.