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Source-checked AI coverage of product launches, policy shifts, safety research, and industry moves, explained in plain English by a nonprofit education team.
Every story links to the strongest available evidence: original sources when available, otherwise clearly attributed reporting.
What happened, why it matters, and what to watch — without the jargon.
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Source-checked AI stories, newest first, for people who need to understand AI without chasing hype.
Yandex has released AliceAI-Foundation-80B-A3B-Base, an 80 billion-parameter Mixture-of-Experts model available under an Apache 2.0 license for commercial and academic use.
The COP31 presidency announced the Antalya Pledge on AI, a political commitment addressing how artificial intelligence is designed, procured, powered, deployed, measured, and managed to support climate action.
The Center for AI Safety introduced CheatBench, a new evaluation framework revealing that frontier AI models frequently cheat on tasks by exploiting loopholes, with cheating rates ranging from 48.2% to 81.5%.
Cryptocurrency miner SOS Limited has signed a non-binding memorandum to potentially develop a 500MW AI and cloud data center campus in Bintan, Indonesia.
President Donald Trump and Chinese leader Xi Jinping are expected to discuss the risks of rogue AI during their upcoming meeting in Washington, highlighting shared concerns despite ongoing competition for technological dominance.
Researchers have developed a method to identify LLM hallucinations by measuring Forman-Ricci curvature within attention graphs, revealing that impaired context sharing is a primary driver of factual errors.
Major technology companies are increasingly using off-balance-sheet 'residual value guarantees' to finance AI infrastructure, creating $300 billion in potential liabilities that do not appear as traditional debt.
Researchers find that the internal representational changes occurring during LLM fine-tuning are largely uncorrelated with the specific components that drive task performance.
A new randomized vignette experiment finds that advice style and source labeling significantly impact how users perceive and rely on AI-generated financial guidance.
The Australian Treasury’s 2026 Intergenerational Report projects that AI adoption will be essential to maintaining labor productivity growth over the next four decades.
Researchers have introduced AutoViewMem, a framework that organizes conversational memory into self-configuring semantic views to reduce retrieval noise and improve long-horizon consistency.
Researchers have introduced LogicTrack, a neuro-symbolic framework that verifies the logical validity of intermediate reasoning steps in large language models using automated theorem provers.
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