Dañu koy yeesal bis bu nekk1800 jaar-jaar yuñ firnde
IA buñu saytu bu baax ci lu jëm ci genne ay fasoŋu porodiwi, coppite ci politik, gestu ci kaaraange, ak toxu usine yi, ap ekipu njang buy def te Yàlla tax moo ko leeral ci Àngle bu leer.
Bépp jaar-jaar dafay lëkkale ak firnde yi gëna am doole: balluwaay yu njëkk yi suñu ko amee, luko moy rapoor yuñ joxe ci anam wu leer.
Li xewoon, lu tax mu am solo, ak li ñu wara seetaan - te amul jargon.
Su siñaal bi sew, dunu siiwal dara ludul padding feed bi.
Jaar-jaari IA yuñ saytu fi ñu bawoo, li gëna bees daal di njëkka am, ngir nit ñi bëgga xam IA te baña topp lu bari.
Ñaari gëstukat neena ñu firnde lemma bu nekk ci Chapitre 6 ci këyitu math bu OpenAI amna njuumte ci polarite: test ci wàllu réussite moyenne fu jéego bi ci topp soxla njuumte bu mag. Dañuy joxe misaal bu wuute ak firnde buñ jubbanti, ba noppi ñu artu ni loolu du firnde theorem bu mag bi ci chapitre bi.
A preprint by two researchers reproduces an earlier study on why equal FLOP counts do not mean equal execution time. It confirms the underlying claim but reports that the α-FLOPs correction formula generally underestimates runtime on newer hardware, which shows jumps and oscillations the formula does not capture.
A new arXiv preprint pits four architectures for natural-language querying of enterprise databases against each other on a synthetic bilingual benchmark. None answered more than about a quarter of cases correctly, and the design that scored highest was not the safest or the cheapest.
A new arXiv preprint argues security teams can judge whether a memory- or retrieval-equipped AI agent is learning by measuring how far it closes the gap to a stronger "teacher" model, rather than on labeled benchmarks that are often scarce or stale. Judging by a similarly powered model gave no usable signal.
A 17-author technical report posted to arXiv introduces MobileMem, a benchmark and framework for on-device long-term memory built from a year-scale collection of mobile experiences. The abstract describes the design but reports no scores, and key details about the underlying data remain undisclosed.
A new arXiv preprint says large language models develop functionally specialized internal structure that lines up with distinct human brain networks, based on circuit analyses across 46 tasks in four cognitive domains. The abstract page leaves key methodological details unstated.
Benn preprint dafa wax ni dindi eksper yu am magnitude bu woyof ci juróomi couche yu mujj yi ci benn model Mixture-of-Expert bu am 35 milyaar ci parametre, moo gëna am njariñ ci tekki kode, moo gën ñu tasaare benn dagg ci couche yépp. Dafay wax ci benn model ak benn référence, te abstract bi amul benn baseline buñu maskewul.
A Cloud Security Alliance research note describes CoreBreak, a pattern of flaws in Amazon Bedrock AgentCore, Google's Agent Development Kit, and Vercel's AI SDK harness packages that allowed tools to execute without a model turn — leaving model-level guardrails with nothing to inspect.
Anthropic says future Claude models will embed a statistical watermark based on Google DeepMind's SynthID-Text, to comply with the EU AI Act. The company says it adds no characters, tokens, or user identity — and that a full rewrite defeats it.
anthropic.comCursor published a short post saying SpaceX has completed its acquisition of the AI coding tool, finishing a process it says began in April with a model-training partnership with SpaceXAI. The post promises access to what it calls the world's largest GPU fleet, but discloses no terms, timelines, or product changes.
cursor.comA preprint introduces SteerBench-Work, a 106-scenario test of the moment an AI agent decides to act or pause for review. Across 30 model conditions, the authors report that wrongly holding cleared work was roughly 28 times more common than wrongly allowing unsafe work.
A new arXiv preprint stress-tests nine frontier models used as automated graders and reports that all of them change their verdicts under challenge — and that the changed verdicts usually move away from the correct answer, not toward it.
Benn nettali bu am njariñ ayu-bis bu nekk
Wutal xibaar IA buñ firndeel ci ayu-bis bi, done yu baax, jumtukaay yu am njariñ, tànneefi jàng, ak liggéey IA yu bees.
Nga jël ab liggéeykat IA wala nga genne ab produit IA bu am njariñ? Tegal ko ci kanamu nit ñi ñëw fi ngir jàng ak jëf.
Publie ab liggey IA Yonnee ab jumtukaayu IA