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The article argues that fears AI will kill all humans by 2030 are exaggerated. While the author acknowledges that AI is already causing real harms and could create serious dangers, he says constant fo

The post argues that “AGI” is an unclear and overused term that different leading AI figures use to mean different things. It opens by noting that Sam Altman, Greg Brockman, and Jensen Huang all speak

The post discusses an AI-driven security incident and the broader implications for system safety. Maria Sukhareva describes a model being given very large compute resources and tool access, likely inc

Hal Brands argues that 2026 may be remembered as the year AI became a major force in world politics, as frontier models gained military, cyber, and strategic value while “loss of control” incidents be

In Episode 86 of *Unsupervised Learning with Jacob Effron*, Yann LeCun, Turing Award winner and former Chief AI Scientist at Meta, argues that large language models are not the right path to human-lev

*Unsupervised Learning with Jacob Effron* is a biweekly technology podcast focused on AI, produced by an early-stage venture capital fund that has backed companies such as Snowflake, Stripe, and Mistr

The article critiques Sam Altman's optimistic vision for AI, arguing that leading researchers believe current language model architectures have reached their limits, resulting in diminishing returns.

Google and OpenAI have raised concerns about "distillation attacks," which allow adversaries to clone their AI models at a fraction of the cost. Google reported that its Gemini model faced a significa

Google and OpenAI have raised concerns about "distillation attacks," which allow adversaries to clone their AI models at a fraction of the cost. Google reported that its Gemini model faced a significa

"Read Anything, Summarize Everything" emphasizes the importance of effective summarization in processing and understanding information. The key points highlight that summarization is a skill that allo

The recent interaction on social media between AI researchers highlights the pitfalls of AI hype and miscommunication. Demis Hassabis, CEO of Google DeepMind, publicly criticized Sébastien Bubeck from