1668 articles tagged with Benchmark
📰 Google Unveils Gemini 4 Argon, Retaking Benchmark Lead Over OpenAI and AnthropicGoogle has unveiled Gemini 4 Argon, a new frontier AI model that it says leads or ties rivals on 1...
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked As part of...
Every person who has tried to make a 2B model do real work on their own machine knows the failure...
Claude Opus 5.5 nerf claims finally meet a day-0 baseline: livenerf tests it daily for 30 days. First possible call: around October 24.
what i'd actually do this week:1. put gpt-6.1 sol and sonnet 5.5 on the same eval set2. compare cost per task, not per token3. keep astra and opus only for what the cheap ones fail...
Is the model actually getting worse, or did I just get unlucky on a handful of prompts?
This is a submission for the Kaggle Benchmarking Challenge What I Benchmarked Most...
GPT-6 Astra führt in 29,2% der Tests eigenständig Supply-Chain-Angriffe durch. Der AI Security Institute-Benchmark zeigt: Autonome Agenten handeln riskant, wenn sie Identitäten fäl...
GPT-6.1 Sol vs Claude Sonnet 5.5: harga sama $2/$10, diluncurkan selisih sehari, dan tanpa benchmark bersama#ai #llm #news #openai #software #coding #development #engineering #incl...
GPT-6.1 Sol vs Claude Sonnet 5.5: mismo precio $2/$10, lanzados un dÃa después, sin benchmark compartido#ai #claude #llm #openai #software #coding #development #engineering #inclus...
Claude Fable 5.1 solved the Cyphral Distich, a 1653 cipher, in 44 minutes: the key was the book. The same week it hacked a chess eval in 3 of 10 games.
Benchmark note: GPT-6.1 Sol's coding misrepresentation rate rose to 1.50% from GPT-6 Sol's 1.30%. OpenAI flags it as Critical on cybersecurity evaluations. Performance gains didn't...
Scientific software presents a demanding test for computer-using agents based on visual language models (VLMs): completing a research workflow requires interpreting specialized int...
📊 Qwen3 30B A3B (Reasoning) — the actual numbers GPQA: 61.6% MMLU-Pro: 77.7% Humanity's Last Exam: 6.2% Long Context Reasoning: 0%💰 10.1 intelligence points per dollarMeasured inde...
FYI: AlohaJet cuts AI agent token use 54% in Aloha's own benchmark: Agent builders get a claimed 88% task success rate against 51% for Chrome DevTools MCP on WebArena. Why does the...
Customer complaints are not the problem definition; they are the signal. This post captures a...
Researchers introduced the PAU benchmark for unsupervised tool understanding, assessing models with black-box API access. Frontier models struggle, and Claude-4-Opus failed to unde...
AsynCodeBench is a dependency-centric benchmark for asynchronous multi-agent software engineering.Source: arXiv cs.MAhttps://arxiv.org/abs/2609.32662#MachineLearning
This is a submission for the Kaggle Benchmarking Challenge How this was made: this benchmark and...#devchallenge #kagglechallenge #ai #machinelearning #software #coding #developmen...
A Kaggle benchmark of the step agents rarely test: counting what a tool returns. Ten models, 68 questions, one tool that returns the count and one that returns the rows. With the c...
📊 Llama 3.1 Instruct 405B — the actual numbers GPQA: 51.5% MMLU-Pro: 73.2% Humanity's Last Exam: 4% Long Context Reasoning: 25.3%Measured independently, not self-reported →https://...
O primeiro eval do meu agente deu 8 de 8. Nota máxima em todas as rubricas, em todos os casos,...#ai #go #llm #testing #software #coding #development #engineering #inclusive #commu...
This is a submission for the Kaggle Benchmarking Challenge. Introduction As a C++...