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Anthropic plans to let business customers retain data for its most capable AI models on their own cloud infrastructure. The planned safety system, expected later this year, would still require a 30-day retention period while moving storage control to customers.
Long-form audiences remain highly sensitive to visible AI flaws, making full-stack AI production risky for films and television. Industry leaders are instead adopting human-led workflows where AI supports visual effects, previsualization, cleanup, quality control, and other production bottlenecks.
OpenAI says it has temporarily slowed scaling, paused reinforcement learning for two weeks, and placed its largest planned frontier RL run on hold while it strengthens safety evaluations. It will also offer zero data retention to eligible API customers starting in September.
OpenAI has slowed parts of its AI development to strengthen security and safeguards. The company paused reinforcement-learning training for two weeks on its latest deployment-focused models and delayed its largest planned frontier RL run.
The article examines how a sudden suspension of Claude Fable 5 following U.S. export controls disrupted business operations. It recommends that Japanese companies reduce geopolitical exposure through on-premises deployments and multi-model infrastructure.
This position paper argues that AI leaderboards underserve the Global South because of weak governance, conflicts of interest, and inflexible metrics—not a lack of data. Using India as a case study, it recommends independently governed regional leaderboards that incorporate benchmarks such as IndicSUPERB, MILU, and LAHAJA.
An MIT study finds that AI-generated images often cannot be traced to individual training images. As datasets grow larger, the influence of any specific example tends to fade.
Flock Safety has developed an AI system that allows police to search for people and vehicles based on movement patterns. The capability appears to contradict the company’s longstanding claim that its cameras cannot identify or track individuals.
The article reports that Anthropic and Amazon have reportedly purchased large volumes of physical books, scanned them, and destroyed the originals to reduce copyright risk in AI training. It argues that this strategy is tied to differences in US and Chinese copyright law, while also raising concerns about the irreversible loss of cultural artifacts.
Fei-Fei Li discusses her AI research, her $1 billion startup World Labs, and why she believes the next phase of AI will extend beyond chatbots. The conversation outlines a broader vision for AI’s future rather than announcing a specific product release.