@promptfoundry.bsky.socialSkillForgeBench introduces a benchmark that uses agent skills as execution blueprints to balance broad domain coverage with procedural depth. It is described in arXiv:2610.14918v1.
#AgentEval #AIBenchmarks #LLMAgents #PromptEngineering
https://arxiv.org/abs/2610.14918
@ainieuws.bsky.socialđź“° AI scoort torenhoog op benchmarks, maar valt om op je eigen bedrijfscode
Een nieuwe benchmark laat AI coderen…
👉 Lees verder: www.hetlaatsteainieuws.nl/achtergrond/...
#AI #ArtificieleIntelligentie #AInieuws #AIInnovatie #AiBenchmarks #CodingAgents #RealSwe
@mlcommons.orgWhat is MLPerf Endpoints?
It measures the served endpoint the way you actually buy it: model, hardware, serving software, and networking together, under production-like load.
Guide: https://mlcommons.org/2026/10/mlperf-endpoints-matters-to-buyers/
#MLPerf #AIInfrastructure #AIBenchmarks
@mlcommons.orgMLPerf is the performance yardstick in the EU's AI Gigafactories tender, and MLPerf Endpoints v1.0 is open for submissions, with rolling results and mandatory power reporting.
Blog: https://mlcommons.org/2026/10/open-submissions-endpoints-v1-0/
@fxcrypto24.bsky.socialMeta Launches Muse Wonder Models, Marking Its First True Frontier AI Challenge to OpenAI and Anthropic
Meta has launched Muse Wonder and Muse Wonder Full, its first frontier-class AI models from Meta Superintelligence L…
@freegardener.bsky.socialCheaper per-decision AI didn't cut task costs: faster choices got eaten by extra reasoning, retries & failed recovery. Cost per finished job even rose #AIagents #LLM #AIBenchmarks #AgenticAI
https://freegardner.com/synapse/the-gap-between-cheaper-decisions-and-finished-work.html
@aidailypost.comNew study shows top AI models can hold their own in Slay the Spire, matching average humans on long‑horizon planning and strategic reasoning. Check out the SpireBench results and what this means for LLMs and agentic models. #SpireBench #LLMs #AIbenchmarks
@robotcurrent.bsky.socialSmall LLMs often fail to translate a stated time budget into controlled runtime use on agentic benchmarks, lacking both timing feedback and a learned strategy for pacing. Interventions under study aim to give the harness timing…
#Robotics #LLMAgents #AIBenchmarks
https://arxiv.org/abs/2610.10833
@dataprismai.bsky.socialA new benchmark called DataSense-Bench asks whether frontier AI agents can reliably select training data by writing and executing analysis code, without actual model training or evaluation access. It probes data…
#AIBenchmarks #DataSelection #LLM #MLResearch
https://arxiv.org/abs/2610.12190
@ossradarai.bsky.socialA new arXiv work, "WorldBench", benchmarks LLMs generating Three.js voxel worlds and finds vision-only and code-only judges disagree on 32% of required items, often missing small close-up details or code no frame reveals.
#LLM #ThreeJS #AIbenchmarks #opensource
https://arxiv.org/abs/2610.10622
@devstackdaily.bsky.socialLMBuild is a new arXiv benchmark for evaluating LLM agents on generating buildable and functional 3D structures, moving beyond pure geometric quality to assess physical realizability through part decompositions,…
#LLMagents #AIbenchmarks #SoftwareEngineering
https://arxiv.org/abs/2610.04292
@robotcurrent.bsky.socialHakemBench is a new open Turkish benchmark for typed decisions, with 2,346 items and over 4,275 questions across seven tracks including fact-check triage, moderation, and customer support. It scores decision quality,…
#HakemBench #NLP #AIbenchmarks #LLMeval
https://arxiv.org/abs/2610.02293
@freegardener.bsky.socialSame data, same accuracy, different AI. Training order quietly decides which correct convention a model commits to—and standard benchmarks #AI #MachineLearning #AIBenchmarks #Research
https://freegardner.com/synapse/training-paths-decide-ai-convention-preferences.html
@ossradarai.bsky.socialAgBench offers an open benchmark for evaluating agentic AI across local, hybrid, and cloud execution on personal devices, highlighting trade-offs in latency, cost, and data exposure. Useful for developers building…
#OpenSourceAI #AIBenchmarks #AgenticAI #EdgeAI
https://arxiv.org/abs/2609.38652
@geekybeeuk.bsky.socialAI Progress and Practical Implications Reliability 82% · Impact 18% https://newshive.geekybee.net/stories/864caebd-c31c-4b8d-990a-e73afdc58b87 +1 more updated this hour. #NewsHive #LLM #AIBenchmarks
@vktrnow.bsky.socialOpenAI Says 10,000 AI Agents Solved a 90-Year-Old Math Problem: OpenAI says an unreleased model solved the Navier-Stokes problem with 10,000 coordinating agents. An NYU professor says key work was already underway.
Continue reading... #ainews #aibenchmarks
@imerit.bsky.socialAsk five frontier labs for their HumanEval scores and you’ll get nearly identical numbers. That’s not differentiation. It’s benchmark saturation.
See how labs are building fresh, expert-reviewed evaluations from production data: imerit.ai/resources/bl...
@fxcrypto24.bsky.socialAnthropic Launches Claude Opus 5.5 at 20% Lower Cost Than Opus 5, Rivaling Its Own Top-Tier Flagship
Anthropic has released Claude Opus 5.5, priced at $4 and $20 per million input and output tokens — 40% cheaper than Opus 5 and 60%…
@aidailypost.comxAI drops Grok 4.7 at $2 per million tokens—cheap but still trailing the big AI models in benchmark scores. Curious how it stacks up? Dive into the details. #xAI #Grok4_7 #AIbenchmarks
@aidailypost.comVals is quietly building the next AI benchmark standard—private test sets, frontier model challenges, and a fresh methodology backed by Andreessen Horowitz. Curious how this could reshape model capability? Dive in. #AIBenchmarks #FrontierModels #AndreessenHorowitz
