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Bloomberg Intelligence estimates that Europe would need to spend about $3 trillion through 2035 to reduce reliance on foreign suppliers for AI and other critical technologies. Achieving full technological autonomy would require substantially greater investment.
NUS Medicine, DayOne and Cortical Labs have unveiled a biological data centre prototype in Singapore. The facility consists of a 20-unit rack of CL1 computers powered by living human neurons, although its efficiency claims have not yet been quantified publicly.
This opinion piece argues that technology has moved from imitating humans to encouraging humans to imitate technology. Images of John Travolta and Carla Bruni prompt questions about increasingly artificial appearances and the psychological unease surrounding AI-shaped ideals.
The article examines cosmological evolution, a fringe theory proposing that universes reproduce with variations and undergo a Darwinian form of natural selection. It also highlights how James Webb Space Telescope observations and machine learning may inspire new theories about the nature of the universe.
OpenAI and Meta are seeking help to address growing public opposition to their AI data center plans. The effort highlights the increasing public-relations challenges surrounding large-scale AI infrastructure expansion.
VB Pulse data shows enterprises are adopting multiple AI orchestration platforms instead of relying on a single vendor. The survey also highlights persistent concerns about security, permissions, token usage, cost visibility, and the ability to stop runaway agent spending in real time.
Google is introducing a button that lets readers mark publishers as preferred sources across Search, Discover, and Google News. The feature could help publishers recover traffic as AI-powered search generates fewer direct clicks to websites.
Runlayer and Rippling have dropped their lawsuits, with no money changing hands. Rippling marked the resolution by releasing a competing product, leaving the dispute as a cautionary example for founders.
KCD Hangzhou has opened its call for papers, inviting the community to discuss cloud native technologies, observability, and large-model inference in the Agent era. The announcement targets practitioners interested in sharing or learning about the infrastructure behind AI agents.
Wired AI argues that Silicon Valley technology leaders do not understand society’s growing frustrations with AI. The article criticizes their public messaging as disconnected from legitimate concerns about AI’s impact.