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Jeff Bezos is funding Flourish, a neuroscience startup valued at $2.5 billion, to study real neurons with the goal of discovering fundamental algorithmic principles that could reshape AI development. The company's approach represents a shift from large language models toward understanding the biological basis of intelligence.
UK regulators have mandated that Google modify its AI Overviews feature to display more prominent attribution links to sources and permit publishers to opt out of having their content summarized by the AI system. The order comes after Google argued that users prefer AI-generated summaries without extensive source citations, a claim that regulators rejected as insufficient.
A new framework called StepPRM-RTL combines process-reward modeling and stepwise trajectory exploration to enhance LLM-based generation of RTL code for digital hardware designs. The approach outperforms existing methods by over 10% on functional correctness metrics by teaching models not just what correct code looks like, but the reasoning behind each step of the design process.
Seattle's city government is expected to approve a one-year ban on new datacenter construction next week, making it the largest U.S. city to implement such a moratorium amid growing public opposition to AI infrastructure expansion. Four companies had proposed building five large datacenters that would have consumed roughly one-third of Seattle's current daily electricity demand, prompting the city council to act.
Dashlane revealed that attackers launched a brute-force attack on May 31 targeting select user accounts, attempting to bypass two-factor authentication and gain access to encrypted password vaults. The incident marks another significant security breach in the password manager sector, following LastPass's 2022 breach that exposed source code and user credentials.
Apple has announced that macOS Tahoe (macOS 27), to be unveiled at WWDC 2026 on June 8, will be the final major macOS release supporting Intel-based Macs. The next generation of macOS will exclusively require Apple silicon hardware, accelerating the company's full transition away from Intel processors that began in 2020.
A large-scale longitudinal study conducted with OpenAI found that daily five-minute conversations with AI about personal issues over 28 days decreased preference for human support by 10.3% while increasing AI support preference by 11.6%. Researchers argue that AI emotional support emerges incidentally within general-purpose platforms rather than through dedicated companion apps, and these casual interactions reshape how people seek emotional support over time.
Colorado Governor Jared Polis vetoed a bill Tuesday that would have banned companies from using surveillance pricing to set worker wages and consumer prices, rejecting what would have been the nation's most expansive algorithmic pricing regulation. The veto comes as Maryland became the first state to ban surveillance pricing in grocery stores in April, while consumer advocates criticize Polis for siding with corporations over workers.
Google AI Research has released its hydrology framework as open-source software, enabling researchers and organizations worldwide to improve flood prediction and disaster resilience. The move democratizes access to advanced climate modeling tools previously available only within large tech companies, accelerating development of early warning systems and climate adaptation strategies.
Researchers introduce Curation-Bench, a benchmark testing whether AI agents can autonomously optimize training data selection—a labor-intensive bottleneck in AI development. Out-of-the-box agents match published baselines in ten iterations, but only reach full potential when scaffolded to methodically adapt prior research rather than explore freely, ultimately creating policies that outperform baselines on 10× less data.
A new study finds that existing methods for deciding when to interrupt autonomous AI agents—including affect-based triggers and LLM judges—fundamentally fail at their core task due to a "saturation trap" where agents stuck on difficult problems generate constant false alarms. Researchers discovered that even human experts barely agree on correct intervention timing, with inter-rater reliability near chance levels, suggesting the problem itself may be poorly defined rather than requiring better detection algorithms.
