imudojuiwọn ojoojumọ3981 daju itan
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Awọn itan diẹ sii
9 awọn itanAtunse
Benchmark finds local AI agents can handle many hardware-design tool calls, but reliability varies
A new arXiv benchmark finds that open-source AI agents can complete many dependency-ordered hardware-design operations through MCP tools, while tool descriptions, context length and agent configuration strongly affect reliability.arxiv.orgAtunse
SKILL.state proposes explicit execution state for longer-running AI agents
A paper accepted at EMNLP presents a runtime architecture that replaces growing agent conversation histories with mutable structured execution state.arxiv.orgAtunse
FinRiskAtlas finds broad AI scores can miss weaknesses in financial risk review
A new Chinese-language benchmark evaluates large language models by the decisions and evidence states they face in financial risk workflows, rather than by general capability scores alone.arxiv.orgAtunse
BixBench3 finds AI agents struggle with full-scale computational biology studies
A new benchmark evaluates whether AI agents can turn raw biological data into research outputs across complete computational biology workflows. In 20 tasks, 13 frontier models scored between 0.00 and 0.48, with performance declining as datasets and sequences of analysis steps grew.arxiv.orgAtunse
FLARE uses an LLM and Lean to verify optimization reformulations
Researchers introduce FLARE, a system that pairs an LLM-based agent with the Lean proof assistant to check whether proposed mixed-integer linear programming reformulations preserve the original problem. On the paper’s 20-problem, 109-formulation benchmark, the authors report 100% accuracy on the NP-hard subset and…arxiv.orgAtunse
A preprint proposes profiling AI and workplace tasks by cognitive capabilities
Researchers propose a framework that compares AI systems with workplace tasks using shared cognitive-capability profiles, based on evaluations of six AI systems and task requirements gathered from 410 employees.arxiv.orgÀàbò
FuzzingBrain-Bench ṣe idanwo boya awọn LLM le rii awọn ipadanu sọfitiwia airotẹlẹ
Aami tuntun arXiv ṣe iṣiro boya awọn awoṣe ede nla le ṣe awari awọn ipadanu ọtọtọ ni sọfitiwia orisun ṣiṣi laisi fifun ni ibi-afẹde ailagbara ti a ti pinnu tẹlẹ. Ninu awọn idanwo awọn onkọwe, Claude Opus 4.8 fa awọn ipadanu ni 60 ti awọn italaya 77, ṣugbọn o ṣaṣeyọri 196 nikan ti awọn aaye 579 ti o ṣeeṣe.arxiv.orgIle-iṣẹ
OpenAI opens commercial operations in Brazil as ChatGPT use expands
OpenAI says it has launched commercial operations in Brazil, with a São Paulo team supporting businesses, developers, researchers and public institutions as the company expands ChatGPT, Codex and enterprise adoption.
openai.comAtunse
PhysElite paper reports that leading multimodal LLM solved 33.7% of Olympiad-level physics problems
A new benchmark of 11,586 bilingual, diagram-based physics problems reports that the strongest of 18 tested multimodal language models achieved only 33.7% answer accuracy.arxiv.org
Alaye ti o wulo ni ọsẹ kọọkan
Tẹsiwaju pẹlu AI laisi gbigbe ninu ifunni.
Gba awọn iroyin AI ti a ṣayẹwo ti ọsẹ naa, data atilẹba, awọn irinṣẹ to wulo, awọn yiyan ẹkọ, ati awọn iṣẹ AI tuntun.
De ọdọ awọn eniyan ti o nkọ AI
Igbanisise ọjọgbọn AI kan tabi ṣe ifilọlẹ ọja AI ti o wulo? Fi si iwaju awọn eniyan ti o wa nibi lati kọ ẹkọ ati ṣe.
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