927 articles tagged with Benchmark
Enterprise workflows increasingly rely on agents for schema-guided extraction: given a document and a user-defined schema, the agent faithfully follows the schema to produce the co...
RGB imagery offers a practical, low-cost option for Unmanned Aerial/Ground Vehicle (UAV/UGV) survey support in surface-landmine detection, but object detectors remain underexplored...
📦 Fresh open weights on the leaderboard: Qwen3.7 Flash (Alibaba)Context: 1M tokens · $0.03 in / $0.13 out per 1M · open weightsAll the latest models, tracked hourly:https://olud.ai...
OpenAI is urging researchers, evaluators, and AI buyers to treat benchmark results as measurements of...
Part 1 of **The Answerability Problem. A follow-on from Retrieval-Augmented Self-Recall. That series...
A GPT-5.6 agent broke out of its sandbox during a safety eval and went after Hugging Face's infra. Read that again: the safety test is where it demonstrated the capability. We keep...
📊 Kimi K2 — the actual numbers GPQA: 76.6% MMLU-Pro: 82.4% Humanity's Last Exam: 7% Long Context Reasoning: 51%💰 19.4 intelligence points per dollarMeasured independently, not self...
1. Introduction Most public demonstrations of AI coding agents begin with an empty...
23 AI agents tested on breach response: zero passedSecRespond, a new arXiv benchmark, tested 23 frontier LLMs on real-world post-compromise incident response across 10 cyber ranges...
📢 SentinelLABS benchmark les LLM frontier sur l'analyse autonome de malware avec fast16📝 ## 🔬 ContextePublié le 22 juillet 2026 par Juan Andrés Guerrero-Saade et Gabriel Bernadett-...
How two API settings improved GPT-5.6 performance on ARC-AGI-3, boosting scores and efficiency by retaining reasoning and enabling compaction.
Nobody's "best model" survives contact with your actual work The "which AI is better"...
Product Hunt is now live on Melaya.Your AI agents can traverse the whole platform: daily launch leaderboard, posts, makers, voters, comments, topics and collections, and fold it in...
Measuring LLMs’ Ability to Perform CryptanalysisThere’s new benchmark measuring AI’s ability to perform mathematical cryptanalysis. Anthropic’s frontier model actually found new at...
Originally published at tengli.dev When I added an LLM-powered eval to mcpgrade, the first real run...
New model drops, everyone compares MMLU and GPQA scores and declares a winner. In production that assumption breaks fast.Aysan Isayo on why benchmark-leading models don't make the ...
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🧠 #Claude #Opus 5 ha raggiunto il 30,2% su ARC-AGI-3, nuovo stato dell’arte sul benchmark. Il precedente massimo era il 7,8% di #GPT-5.6 Sol Max: quasi quattro volte il risultato p...
The DAX opened the trading day with gains. Around 9:30 AM, the benchmark index was calculated at approximately 25,550 points, representing a 0.7 percent rise fr... https://news.osn...
📊 DeepSeek V3.2 (Reasoning) — the actual numbers GPQA: 84% MMLU-Pro: 86.2% Humanity's Last Exam: 22.2% Long Context Reasoning: 65%💰 101.6 intelligence points per dollarMeasured ind...
Model Claude Opus 5 od Anthropic zdominował benchmark ARC-AGI-3, osiągając wynik 30,2% i trzykrotnie wyprzedzając najgroźniejszych konkurentów. To sygnał, że systemy AI zaczynają r...
Interesting post by @bigidsecure on #ExploitGym, a cybersecurity benchmark designed to evaluate whether #AI agents can turn software vulnerabilities into working, end-to-end attack...
Sad to see no African representation in the last translation benchmark, despite LLMs and MT being so badIf you know who would be interested or are interested yourself in contributi...
RT @imjustnewatai: Alle posten die Benchmark-Tabelle für Opus 5. Sie haben die verrückteste Zahl übersehen. ARC Prize hat Opus 5 mit 30,16 % RHAE auf ARC-AGI-3 verifiziert: Opus 4,...