Actualizado diariamente1467 historias verificadas
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.
Qué sucedió, por qué es importante y qué observar: sin impuestos de jerga.
Cuando la señal es escasa, no publicamos nada en lugar de rellenar el feed.
Un flujo creciente de perspectivas verificadas para personas que necesitan comprender la IA sin perseguir exageraciones.
A preprint introduces Evidence-State Reliability, a measure for testing whether intermediate evidence remains usable as language-model pipelines process degraded inputs. In one controlled evaluation using GLM-5.2, parser-valid outputs persisted while stage success declined.
A new arXiv study evaluates 53 language models across 11 safety datasets and reports that model strengths vary sharply by harm category, while conversational safety remains unresolved.
The South China Morning Post reports that Xiaomi has unveiled new Xring chips for smartphone AI, large-language-model acceleration and autonomous driving despite weaker profits and rising component costs.
ToSCA proposes a hierarchical reinforcement-learning framework that separates strategic choices from token-level response generation. The authors report improved strategy selection and response quality against several baselines in daily and emotional-support conversations.
Fortune reports, citing payment-processor data from Ramp, that Claude Fable 5 represented 11% of corporate spending on Anthropic models two months after release, but that share has since stalled. The report says the pattern could pressure frontier AI companies to compete more aggressively on price, although Ramp’s…
An arXiv study reports that language-model systems can enter a failure pattern when search retrieves documents they previously generated. In the authors’ simulations, 79.6% of 1,528 runs ended in what the paper calls “RAG collapse.”
A new arXiv paper identifies a gap in LLM unlearning: an agent may stop recalling information from its weights but recover it through web search, retrieval or database tools. The authors propose a two-stage method to reduce both forms of recovery while preserving legitimate tool use.
Harvard Business School’s eight-week HBS Foundry bootcamp uses conversational AI agents and video avatars modeled on faculty members to coach aspiring entrepreneurs, The Asia Business Daily reports, citing The New York Times.
A new arXiv paper proposes replacing raw retrieved passages with compact, keyword-grounded facts to reduce the risk that prompt injections cause retrieval-augmented generation systems to expose sensitive database contents.
An arXiv preprint introduces MCite-RL, a framework that uses iterative retrieval, reasoning, recursive image cropping and citation-focused reinforcement learning to improve both multimodal answers and the accuracy of their visual evidence links.
MediaNama reports that the Gujarat High Court set aside GST proceedings after a tax officer relied exclusively on non-existent or irrelevant AI-generated judgments, and ordered fresh adjudication under stricter verification rules.
A preprint reports that language models can appear to forget targeted information under ordinary tests while still recovering it under strategic adversarial prompts.
One useful briefing each week
Get the week’s verified AI news, original data, useful tools, learning picks, and fresh AI jobs.
Hiring an AI professional or launching a useful AI product? Put it in front of people who came here to learn and act.
Publicar un trabajo de IA Submit an AI tool