Article: When Should You Use Liquid Clustering? Benchmarking Lakehouse Layout Strategies
Physical data layout is one of the most consequential decisions in lakehouse engineering. The author compares Liquid Clustering, ZOrdering, and part…
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Android Bench 2 Adds Support for Long-Horizon Tasks, Agentic Evaluation, and Continuous Scoring
Google has released Android Bench 2.0, a major update to its benchmark framework for evaluating AI models and agents on Android development tasks. T…
Akka Tests Spec-Driven AI Delivery Across 65 Open Source Projects
Akka used 65 open-source projects to examine how specification structure, context, model selection, automated validation, and delivery guardrails af…
AWS Releases Aws-Bench to Evaluate Agents on Cloud Tasks
AWS has released aws-bench, an open-source benchmark for evaluating AI agents on real AWS tasks such as misconfigurations and infrastructure provisi…
Presentation: From Fab To Token - The State Of The Market
Jordan Nanos discusses how semiconductor constraints, data center expansion, and networking bottlenecks impact AI software architecture. Drawing fro…
Ponytail Agent Skill Corrects Its Own Benchmark After Contributor Challenge
A single-author repo of instruction files, not code, Ponytail passed 44,000 GitHub stars in nine days by making coding agents stop over-building. It…
Stripe Benchmark Shows AI Agents Build Integrations but Struggle with Validation
Stripe introduces a benchmark suite to evaluate whether AI agents can build real-world Stripe integrations across backend, frontend, and browser-bas…