Aeon
Seth Lazar maps how generative AI agents might reshape social life, then argues that philosophy is one of the few tools we have to reason about those shifts in advance.
Nature
Unpacks how big tech has ‘open‑washed’ AI, showing that openness alone doesn’t fix power concentration or give real leverage to researchers and the public.
Nature Humanities & Social Sciences Communications
Argues that today’s systems lack key human reasoning capacities and proposes a pragmatic framework for deciding where AI belongs—and doesn’t—in public and private decision‑making.
Nature
Sketches what an ethics tailored to long‑lived, semi‑autonomous AI agents might look like, focusing on relationships, accountability, and coordination.
Nature
Daniel Björkegren surveys wildly divergent GDP forecasts for AI and makes the case that economists need both better data and more imaginative models.
SemiAnalysis
A deep, model‑driven breakdown of how AI data centers actually make money, from GPUs and power to utilization and hyperscaler capex.
MarketMinute / Wedbush Securities
Connects the headline $600B hyperscaler capex number to a broader thesis about AI infrastructure as the engine of current equity markets.
Nature AI Ethics
Zooms in on what responsibility and accountability should look like when people form ongoing relationships with AI agents.
Aeon
Pushes on the unsettling question of artificial suffering and what moral status increasingly complex AI systems might deserve.
Nature
Pairs well with the ‘open‑washing’ critique, offering a concrete taxonomy and arguing for a stricter, more useful definition of open AI.