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AI nhau archive — Peji 198
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Nyaya yega yega inobatanidza kune humbowo hwakasimba huripo: zvinyorwa zvepakutanga kana zviripo, zvikasadaro zvakajeka kuburitsa.
Chirungu chakajeka
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Dzimwe nyaya
9 nyayaInnovation
Evaluating AI Agent Skill Performance with NVIDIA SkillEvaluator
NVIDIA SkillEvaluator measures the impact of verified skills on AI agent performance through a three-tier evaluation process.
developer.nvidia.comInnovation
Paper Introduces "Shadow Evaluations": AI Agents Did the Engineering but Failed Two Research Questions
A 24-author preprint had frontier AI agents attempt the central research questions of two unpublished NeurIPS 2026 submissions, then had the papers' own authors grade the results. The agents handled the engineering unaided over six days but were unambiguously rejected on the research.arxiv.orgProduct
Warp Inovhura Kuwanika Kwekutanga ku "Mafekitori," iyo Config-se-Code System Yekumhanya Fleets yeCoding Agents.
Warp iri kutora zvikumbiro zvekutanga zveWarp Mafekitori, ayo anotsanangura zvikepe zvevamiriri vekodhi sekodhi - repos, modhi, mvumo uye nzvimbo dzekutarisa dzevanhu mune imwe YAML faira, inofambiswa neCLI, API, SDK uye MCP. Yayo otomatiki uye manhamba emitengo zvichemo zvevatengesi: hapana mitengo, zuva rekuwanikwa kwese kana kuyedza kwakazvimiririra.warp.devInnovation
Benchmark Says Top Multimodal Models Score Under 10% at Reading Words From Pen Sounds and Hand Motion
A new arXiv paper introduces a test in which models must infer a written word from pen-scratch audio and hand-movement video, with no ink visible. The authors report humans above 80% ordered letter accuracy and leading models below 10% — and that giving models both modalities often made results worse.arxiv.orgInnovation
Pepa Rinoti Agent-Aware Cache Management Inocheka Chekutanga-Chiratidzo Kunonoka Kusvika 45% muMulti-Agent Sevhisi.
Iyo itsva arXiv preprint inotsanangura CacheScout, dhizaini yakavakirwa pane yakavhurika-sosi vLLM sevha iyo inosarudza chekuchengeta mumodhi kiyi-kukosha cache zvichibva pakuti mumiririri angangomhanya anotevera. Vanyori vanoshuma kaviri-manhamba latency uye throughput kuwana; iyo mitoro yebasa, modhi, uye hardware hazvina kutaurwa muchidimbu.arxiv.orgInnovation
Kuongororwa kweOpenAI AI-Yakagadzirwa Humbowo Inowana Mamiriro Akadzokororwa, uye Inoburitsa Kugadziriswa.
Vatsvagiri vaviri vanoti humbowo hwe lemma muChitsauko 6 chegwaro remasvomhu reOpenAI rine chikanganiso che polarity: bvunzo maererano nekubudirira kweavhareji apo nhanho inotevera inoda kukundikana kukuru kwezvimiso. Vanopa muenzaniso wakapokana uye humbowo hwakagadziridzwa, uye vanoyambira kuti uku hakusi kusimbiswa kweiyo theorem huru yechitsauko.arxiv.orgInnovation
Replication Study Says FLOPs Still Mispredict AI Runtime, and the Proposed Fix Fails on Newer Hardware
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.arxiv.orgEnterprise
Benchmark Paper Finds Four Ways to Query Enterprise Data With LLMs All Score Under 26%
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.arxiv.orgInnovation
Pepa Rinokurudzira Kukwirisa AI Chengetedzo Magents Pasina Mazita Nekuyera Convergence kune Yakasimba Model
Iyo nyowani arXiv preprint inopokana zvikwata zvekuchengetedza zvinogona kutonga kuti ndangariro- kana kudzoreredza-yakashongedzerwa AI mumiriri ari kudzidza nekuyera kuti inovhara sei gaka kune yakasimba "mudzidzisi" modhi, kwete pamabhenji akanyorwa anowanzo kushomeka kana kuti akarembera. Kutonga nemuenzaniso une simba rakafanana hakuna kupa chiratidzo chinoshanda.arxiv.org
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