My coding agent kept building the same landing page, so I wrote it a design skill (and lost my own benchmark first)
Ask an agent for a landing page and you'll usually get the same one. A centred headline, a purple...
#Benchmark
1658 articles tagged with Benchmark
AI email agents comply with 45% of adaptive phishing attacksCarnegie Mellon's AgentPhishing benchmark shows AI email age...
AI email agents comply with 45% of adaptive phishing attacksCarnegie Mellon's AgentPhishing benchmark shows AI email agents that catch standard phishing still fall for attacks tail...
Final answer: MiniMax-M2.5: 84.8% GPQA, 20.5% HLE, 73.3% long-context, 71.6% IFBench — and 43https://olud.ai/leaderboard...
Final answer: MiniMax-M2.5: 84.8% GPQA, 20.5% HLE, 73.3% long-context, 71.6% IFBench — and 43https://olud.ai/leaderboard.html#LLM #Benchmarks #OpenSource #AI
The Rise and Fall of JevArticle URL: https://blog.alexewerlof.com/p/rise-and-fall-of-jev-eval-hype-vs-llm Comments URL: ...
The Rise and Fall of JevArticle URL: https://blog.alexewerlof.com/p/rise-and-fall-of-jev-eval-hype-vs-llm Comments URL: https://news.ycombinator.com/item?id=50206361 Points: 3 # Co...
📊 K2-V2 (Medium) — the actual numbers GPQA: 59.8% MMLU-Pro: 76.1% Humanity's Last Exam: 4.4% Long Context Reasoning: 28%...
📊 K2-V2 (Medium) — the actual numbers GPQA: 59.8% MMLU-Pro: 76.1% Humanity's Last Exam: 4.4% Long Context Reasoning: 28%Measured independently, not self-reported →https://olud.ai/l...
The Rise and Fall of Jevhttps://blog.alexewerlof.com/p/rise-and-fall-of-jev-eval-hype-vs-llmComments: https://news.ycomb...
The Rise and Fall of Jevhttps://blog.alexewerlof.com/p/rise-and-fall-of-jev-eval-hype-vs-llmComments: https://news.ycombinator.com/item?id=50206361#HackerNews #Jev #Eval #Hype #LLM...
Raw-RAG ranks first in six of seven benchmark-model settings, outperforming the strongest agentic memory system.Source: ...
Raw-RAG ranks first in six of seven benchmark-model settings, outperforming the strongest agentic memory system.Source: arXivhttps://arxiv.org/abs/2610.30755#MachineLearning
FusionEval is a new benchmark for model fusion that evaluates capability retention and computational cost across eight p...
FusionEval is a new benchmark for model fusion that evaluates capability retention and computational cost across eight public benchmarks.Source: arXiv cs.CLhttps://arxiv.org/abs/26...
📊 Qwen2.5 Coder Instruct 32B measured independently: GPQA 41.7%, MMLU-Pro 63.5%, Humanity's Last Exam 3.5%, LiveCodeBenc...
📊 Qwen2.5 Coder Instruct 32B measured independently: GPQA 41.7%, MMLU-Pro 63.5%, Humanity's Last Exam 3.5%, LiveCodeBench 29.5%. Not a self-report—these raw numbers tell a differen...
OrcaCyber-Nano came out with results on 12 different benchmarks, just to say what it does.I thought a benchmark was mean...
OrcaCyber-Nano came out with results on 12 different benchmarks, just to say what it does.I thought a benchmark was meant to be a standard. Now there are dozens, some easy, some br...
AgentVQA: A Unified Benchmark for Agentic Visual Understanding
Vision-language models (VLMs) can perform a broad range of tasks across diverse settings, yet their performance in agentic contexts remains poorly understood. Although online evalu...
AnyGameRenderer: Entity-Consistent Generative Rendering Across Games and an Entity-Level Benchmark
AI coding agents can now build small playable games in minutes, but the results usually look like programmer art: gray blockouts, colored geometric primitives, and flat semantic bl...
CellTrack-Bench: Microscopic Cell Tracking Benchmark for Vision-Language Models
Large language models have shown outstanding performance on text-first tasks such as coding, math, and writing. Recent efforts are shifting models' training to include scientific p...
GPQA Diamond Has 198 Questions: What the Hugging Face Leaderboard's 115 Rows Can and Cannot Rank
An audit of the Hugging Face GPQA Diamond leaderboard: 115 unverified rows, 198 questions, and which open-model gaps survive sampling noise.
usamahz/computer-vision-engineering: A reading path for computer vision engineering, from photon to production. Primary sources in dependency order, evidence-graded claims, and a runnable benchmark per section.
A reading path for computer vision engineering, from photon to production. Primary sources in dependency order, evidence-graded claims, and a runnable benchmark per section.
AI agents: how can you assess reported speed gains and benchmark scores?https://podcast.aequitus.net/episodes/2026-10-04...
AI agents: how can you assess reported speed gains and benchmark scores?https://podcast.aequitus.net/episodes/2026-10-04-saturday-ai-agents-how-can-you-assess-reported-speed-gain-e...
Build a Deterministic Mock LLM Provider So Your Eval Suite Runs With No API Keys and No Network
A step-by-step guide to writing a fixture and directive driven mock LLM provider that makes your tests and eval suites fast, free, and reproducible.
Word count: - "Kimi Khttps://olud.ai/leaderboard.html#OpenSource #AI #LLM
Word count: - "Kimi Khttps://olud.ai/leaderboard.html#OpenSource #AI #LLM
RT @PawelHuryn: Ich habe den DeepSeek V4.1 Flash 1017-Benchmark 89-mal über 9 verschiedene Harnesses wiederholt, um zu v...
RT @PawelHuryn: Ich habe den DeepSeek V4.1 Flash 1017-Benchmark 89-mal über 9 verschiedene Harnesses wiederholt, um zu verstehen, welcher am besten funktioniert. mehr auf Arint.inf...
Terminal X Reports 88.6% Agreement with Senior Investors Using GPT-6.1Startup Terminal X reports that its Eval Agent, po...
Terminal X Reports 88.6% Agreement with Senior Investors Using GPT-6.1Startup Terminal X reports that its Eval Agent, powered by GPT-6.1 Sol, matched senior investor judgment 88.6%...
CulturalRiddles: A Multicultural Benchmark of Riddles
As LLMs expand their language coverage, evaluating how well they understand and represent diverse cultures becomes increasingly important. However, many benchmarks remain English-c...
FrontierCS 2: A Benchmark for Computer Science R&D
Can LLM agents make contributions to frontier computer science R&D? We introduce FrontierCS 2, a benchmark of 48 open-ended tasks. We take a paper and the code its authors released...
Your Benchmark Is an Empirical Measure Over Difficulty
A benchmark is not merely a collection of test questions; it naturally induces an empirical measure over difficulty. In this work, we develop this measure-based view of benchmark e...
A passing agent eval can prove the wrong thing.Your agent may retrieve answers from the host machine.Do you review full ...
A passing agent eval can prove the wrong thing.Your agent may retrieve answers from the host machine.Do you review full trajectories before trusting a pass?#Bytecut #AI #AIAgents