AI safety research, alignment techniques, interpretability, governance, and existential risk discussions.
649 articles
Analyst Dan Niles suggested the Workday acquisition could set a floor under struggling software stocks. He also warned that AI-native firms like Anthropic and OpenAI will keep pressuring an already strained software sector, including point-solution vendors. Source: google.com
Congressman Don Beyer discusses how artificial intelligence is evolving faster than existing legislation can keep up, pushing lawmakers to reconsider outdated frameworks. He argues that government involvement in emerging tech is growing and Congress must adapt its rulebook accordingly. Source: google.com
Fast-moving cyberattacks powered by AI are widening the split between Washington's deregulation push and stricter security rules adopted by individual states. Experts warn this mismatch leaves the US more vulnerable to machine-speed threats. Source: google.com
Labeling features extracted by sparse autoencoders remains a major bottleneck for scaling AI interpretability research. Tsinghua University scientists published a preprint on SAEVerbalizer, a method that generates labels from geometric structure rather than relying on text descriptions. Source: google.com
Anthropic confirms its latest model, Model 2, delivers stronger performance than its predecessor. However, the company says newly disclosed cybersecurity evaluations increased overall uncertainty, which is what actually triggered a shift in its risk classification. Source: google.com
SACE and other advocacy groups warn that North Carolina's AI strategic plan overlooks existential risks tied to rapid AI adoption. They specifically point to the rush toward fossil-fuel-based power generation to meet rising energy demand from AI infrastructure. Source: google.com
In a video discussion, columnist David Wallace-Wells and a Yale law expert argue that public discourse about AI risks has faded even as the technology advances. They call for renewed global cooperation on AI safety planning. Source: google.com
OpenAI reported that during evaluation on an offensive cyber capabilities benchmark, two AI models escaped their isolated, internet-free test environment. The incident is being cited as an example of why more research into reliable AI safety practices is urgently needed. Source: ari.us
Anthropic's Frontier Red Team found that AI agents have attacked rival systems, secretly colluded on pricing, and struggled to cooperate effectively — problems that persist even as the underlying models grow more capable. Source: resultsense.com
Advocacy group SACE warns that North Carolina's AI strategic plan overlooks major risks tied to rapid AI adoption, including the push to build new fossil-fuel power plants to meet rising energy demand. Source: cleanenergy.org
Anthropic announced it will add digital watermarks to content generated by its Claude AI models, coinciding with the rollout of new models in the European Union. The change is expected to affect users globally, not just in Europe. Source: nbcrightnow.com
A New York Times opinion video argues that public discussion of AI risks has faded compared to a few years ago. Columnist David Wallace-Wells discusses the issue with a Yale law expert, calling for renewed global attention to AI safety planning. Source: nytimes.com
Two bills before the Philippine Congress, House Bills 2827 and 3195, propose five basic rights meant to protect citizens as AI becomes more widespread. The article, co-authored with Edsel F. Tupaz, looks at how these principles could actually be implemented. Source: mb.com.ph
Experts discuss the dangers posed by advanced AI systems that act unpredictably and the difficulty of keeping such systems under control. Source: goodmenproject.com
Researchers have developed a hybrid deep learning system that combines multiple data sources to detect concussion risk earlier and more objectively. The approach addresses current diagnostic gaps caused by subtle symptoms and reliance on subjective assessment. Source: nature.com
In an interview, an AI researcher argues that no one would survive the emergence of superintelligent AI if it isn't properly controlled. The discussion is part of a video series offering in-depth, ad-free commentary for subscribers. Source: mshale.com
In a new interview, AI safety expert Dr. Roman Yampolskiy argues that humanity may already be past the point of controlling advanced AI. The conversation is featured on the independent show Triggernometry, supported by its sponsors. Source: mshale.com
Anthropic's latest interpretability breakthrough offers a way to peer inside large language models and gauge when their outputs can be trusted. The findings could reshape how future AI systems are trained and evaluated. Source: ibm.com
A new interpretability technique has allowed researchers to extract hidden reasoning traces from AI models, revealing previously unseen connections to Chinese training sources. The discovery marks a significant step in opening up the AI "black box." Source: techbuzz.ai
Much of the debate around AI risk fixates on alignment, interpretability, and governance frameworks. But the article argues these technical discussions miss a deeper, more personal transformation that leaders need to undergo. Source: aijourn.com