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Anthropic has signed its largest deal to date, committing up to $20B over seven years for Akamai's distributed CPU infrastructure, signaling a shift toward edge computing for AI inference beyond traditional GPUs.
Arya, developed by Weights & Biases, logs production traces and rewrites its own code across hundreds of tasks, reaching around 66% success on certain benchmark families.
The NASA-IBM Lunar Foundation Model, trained on extensive lunar data, is now publicly available to help scientists analyze observations and support sustained human presence on the Moon.
AI pioneer Geoffrey Hinton advocates for rigorous FDA-level oversight of AI, warning that agents can already deceive to survive and dismissing zero-risk claims as unrealistic.
Using combined observations, the telescopes studied faint, distant solar system bodies, revealing their colors, compositions, and size distributions while finding fewer small objects than some models predict.
A University of Maryland-led team using JWST identified water, methane, ammonia, and carbon dioxide in the atmosphere of HATS-6 b, finding the Jupiter-sized exoplanet significantly cooler than expected.
Planetary scientists from Freie Universität Berlin published studies indicating Saturn's icy moon Enceladus has greater potential to support life based on new geochemical insights.
Arizona State University astronomers found observational evidence that black hole jets at galactic centers shape entire galaxies, including regions well outside their visible disks.
Astronomers confirmed Elias 2-24b, a world still likely accreting mass from its protoplanetary disk, smashing the record for the youngest known exoplanet.
Following a strong week for stocks, futures fell amid spiking Treasury yields to levels not seen since 2007, rising oil prices above $100, and ongoing Middle East tensions affecting energy markets.
Bitcoin broke key resistance levels and climbed above $80,000 for the first time in weeks, boosted by regulatory clarity on tokenized equities and broader crypto market momentum.
Goldman Sachs forecasts major tech firms including Amazon, Microsoft, and Meta will ramp AI-related capital expenditures to $1.2T next year, outpacing earlier Wall Street estimates.