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Lies, damn lies, and benchmarks

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Benchmarks don't lie, but liars use benchmarks. It's important to know how to detect signs of benchmark manipulation and sleigh-of-hand when evaluating how AI models will perform in the real world.

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BlogsTrained on 100,000+ Voices: Deepgram Unveils Next-Gen Speaker Diarization and Language DetectionDeepgram BlogsState of Speech: Our New Data Report Reveals ASR’s Untapped Potential - Deepgram Blog ⚡️Deepgram BlogsWho Explains the Most? An Analysis of Educational YouTubers - Deepgram Blog ⚡️Deepgram BlogsThe Language of LGBTQ Inclusion and Allyship - Deepgram Blog ⚡️Deepgram BlogsHappy National Native American Heritage Month! - Deepgram Blog ⚡️Deepgram BlogsTop 3 Use Cases for Speech-to-Text in Gaming - Deepgram Blog ⚡️Deepgram BlogsUsing Subtests and Sub-benchmarks - The Go Programming LanguageGo BlogsCerebras-GPT: A Family of Open, Compute-efficient, Large Language Models - CerebrasCerebras NewsCNCF Projects Bring Service Mesh Interoperability, BenchmarksThenewstack NewsCPU Benchmarks for Cloud Providers: Intel vs. AMD vs. Amazon's Arm-Based Graviton2Thenewstack BlogsSelf-hosting DuckDB: the road to productionMotherduck BlogsBenchmarks and Obscurantism: A “red” line that should not be crossedClickhouse BlogsKimi K3 is competitive with Fable; Kimi K3 + Fable is SoTA.Fireworks BlogsA technical report on Composer 2 · CursorCursor BlogsFireworks Real-World Benchmarks: Find the Best OSS Model for the JobFireworks BlogsClaudeception: Inside the Mind of an Analytics AgentMotherduck EventsAI Agents for Business AnalyticsMotherduck BlogsWhat Are AI Benchmarks? A Business Guide for EvaluationsCohere BlogsPerf is not enough | MotherDuckMotherduck BlogsBest AI Avatars for Enterprise Onboarding (2026)Heygen