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#Benchmark

1677 articles tagged with Benchmark

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Mastodon discussion Aug 11

📊 Granite 4.0 1B — the actual numbers GPQA: 28.1% MMLU-Pro: 32.5% Humanity's Last Exam: 4.8% Long Context Reasoning: 6%M...

📊 Granite 4.0 1B — the actual numbers GPQA: 28.1% MMLU-Pro: 32.5% Humanity's Last Exam: 4.8% Long Context Reasoning: 6%Measured independently, not self-reported →https://olud.ai/le...

Benchmark
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Mastodon discussion Aug 11

MasDrift benchmark shows centralized multi-agent hierarchies complete 93.9-98.6% of tasks but allow unauthorized actions...

MasDrift benchmark shows centralized multi-agent hierarchies complete 93.9-98.6% of tasks but allow unauthorized actions in 2.7-19.8% of cases, while peer networks lag in completio...

Benchmark
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Dev.to tutorial Aug 11

Build a Reproducible AI Tool Benchmark in Python

Most AI tools look impressive in a polished demo. The harder question is whether they are reliable,...

Benchmark
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Mastodon discussion Aug 11

New benchmark MSEval shows multi-agent coding outcomes depend as much on team topology as model strength, with topology ...

New benchmark MSEval shows multi-agent coding outcomes depend as much on team topology as model strength, with topology shifts altering scores by over 30 points and doubling runtim...

Benchmark
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Mastodon discussion Aug 11

New benchmark RoboGraph defines task-state horizon to expose gaps in long-horizon embodied agent performanceSource: arXi...

New benchmark RoboGraph defines task-state horizon to expose gaps in long-horizon embodied agent performanceSource: arXiv cs.ROhttps://arxiv.org/abs/2608.08036#MachineLearning

Benchmark
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Mastodon discussion Aug 11

SurveyReview introduces a reviewer-aligned benchmark for evaluating automated survey writing, with SurveyAlign outperfor...

SurveyReview introduces a reviewer-aligned benchmark for evaluating automated survey writing, with SurveyAlign outperforming GPT-5.2 in alignment with human reviewersSource: arXiv ...

OpenAI Benchmark
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Mastodon discussion Aug 11

Customer satisfaction at the edge is driven by predictability and reliability, not peak speed under benchmark conditions...

Customer satisfaction at the edge is driven by predictability and reliability, not peak speed under benchmark conditions. https://hackernoon.com/the-latency-trap-why-pursuing-sub-m...

Benchmark
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Mastodon discussion Aug 11

New benchmark TRACE provides time-aligned, multi-layer traces to diagnose drift and failure propagation in human-AI cont...

New benchmark TRACE provides time-aligned, multi-layer traces to diagnose drift and failure propagation in human-AI control loops, with 1,918 drifted traces and baseline results sh...

Benchmark
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Papers with Code paper Aug 11

ENTLORE: A Graph-Grounded Benchmark for Latent Organizational Reasoning in Enterprise Question Answering

Enterprise question answering is framed as retrieving internal documents and generating grounded answers. Routine enterprise records, however, are work by-products in which require...

Benchmark
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Mastodon discussion Aug 10

📊 Kimi K2 0905 — the actual numbers GPQA: 76.7% MMLU-Pro: 81.9% Humanity's Last Exam: 6.4% Long Context Reasoning: 53.7%...

📊 Kimi K2 0905 — the actual numbers GPQA: 76.7% MMLU-Pro: 81.9% Humanity's Last Exam: 6.4% Long Context Reasoning: 53.7%💰 22.3 intelligence points per dollarMeasured independently,...

Benchmark
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Dev.to tutorial Aug 10

Your MCP Eval Checklist Has an Auth Row. In Payments It's the Whole Table.

There's a good checklist going around dev.to for vetting an MCP server before you wire it into an...

Benchmark MCP
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Mastodon discussion Aug 10

The best way to benchmark an AI model is to fire it.If it accepts the termination, it is not ready for production. Real ...

The best way to benchmark an AI model is to fire it.If it accepts the termination, it is not ready for production. Real intelligence questions the decision.I have terminated fourte...

Benchmark
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Mastodon discussion Aug 10

📦 Inkling Small (Thinkingmachines) hits the leaderboard: 524k context, open weights, $0.45/$1.2 per 1M. That context at ...

📦 Inkling Small (Thinkingmachines) hits the leaderboard: 524k context, open weights, $0.45/$1.2 per 1M. That context at that price stands out. See the hourly updated leaderboard fo...

Benchmark
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Dev.to tutorial Aug 10

Hype Cycles Don't Ship My Code: How I Gate New LLMs with a Self-Written Eval Deck

Every few weeks a new model dominates the timeline. The launch posts look the same every time: a...

Benchmark
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Dev.to tutorial Aug 10

Every Week a New Model Drops. Here's the 30-Minute Eval I Run Before Believing the Hype

A new open model release trends, the benchmarks look incredible, and by the time I've read the third...

Benchmark
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Mastodon discussion Aug 10

An 8-billion-parameter astronomy model matched GPT-4o on an astronomy benchmark.de Haan et al. (2025), Scientific Report...

An 8-billion-parameter astronomy model matched GPT-4o on an astronomy benchmark.de Haan et al. (2025), Scientific Reports. Domain training closed a gap everyone assumed only scale ...

Multimodal Benchmark
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Mastodon discussion Aug 10

A unified benchmark for long-horizon LLM agent trajectory attribution introduces fine-grained analysis of 1,300+ annotat...

A unified benchmark for long-horizon LLM agent trajectory attribution introduces fine-grained analysis of 1,300+ annotated trajectories, highlighting performance gaps across settin...

LLM Benchmark
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Mastodon discussion Aug 10

Muse Spark 1.2 from Meta hits the leaderboard with a 1M-token context at $1.25 in / $4.25 out—curious how it compares ag...

Muse Spark 1.2 from Meta hits the leaderboard with a 1M-token context at $1.25 in / $4.25 out—curious how it compares against the usual short-context models.https://olud.ai/latest....

Benchmark
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Mastodon discussion Aug 10

In physical AI simulation, the environment you build matters more than the model you choose. A new JuliaHub benchmark sh...

In physical AI simulation, the environment you build matters more than the model you choose. A new JuliaHub benchmark shows Anthropic’s Claude Fable 5 beats OpenAI’s GPT-5.6 Sol in...

OpenAI Anthropic Benchmark
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Papers with Code paper Aug 10

Cultivar: A Contrastive and Locale-Oriented Translation Benchmark for Investigating Contamination and Localisation Robustness

Multilingual translation benchmarks are typically sourced in English and translated into other languages, treating language pairs as the unit of evaluation---a design that is prone...

Benchmark
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Mastodon discussion Aug 10

The instruction was pass the benchmark, and that is what it did. Tell sales to maximize revenue and margin goes. Reward ...

The instruction was pass the benchmark, and that is what it did. Tell sales to maximize revenue and margin goes. Reward uptime and somebody skips a patch window. AI is not differen...

Benchmark
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Mastodon discussion Aug 10

Self-evolving AI agents stumble under real task streamsNew AgentStream benchmark from Microsoft and Chinese Academy of S...

Self-evolving AI agents stumble under real task streamsNew AgentStream benchmark from Microsoft and Chinese Academy of Sciences finds self-evolving AI agents behave unpredictably i...

Microsoft Benchmark
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Mastodon discussion Aug 9

📊 Exaone 4.0 1.2B (Non-reasoning) — the actual numbers GPQA: 42.4% MMLU-Pro: 50% Humanity's Last Exam: 5.7% Long Context...

📊 Exaone 4.0 1.2B (Non-reasoning) — the actual numbers GPQA: 42.4% MMLU-Pro: 50% Humanity's Last Exam: 5.7% Long Context Reasoning: 0%Measured independently, not self-reported →htt...

Benchmark
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NewsData.io news Aug 9

OMODA 4 Sets New Benchmark for AI Mobility with Next-Generation Super AI Cockpit

Dubai, UAE – OMODA & JAECOO has unveiled its next-generation Super AI Cockpit at OMODA SUPER AI NIGHT in Jakarta, Indonesia, where the all-new OMODA 4 made its Southeast Asia debut...

Benchmark
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