AI News, Research and Tool Reviews
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Poolside’s code generation model boosts productivity at Goldman Sachs and Stripe
Poolside’s open-weight models enable private AI deployments for enterprises like Goldman Sachs, which reported a 20% productivity gain using agentic tools. Stripe leverages similar AI-native workflows to accelerate…
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Why Synthesia’s AI avatar platform matters now for enterprise training
Synthesia, ranked #1 on G2 and valued at $4 billion, transforms enterprise training by generating multilingual video in minutes. Its Roleplay Sessions…
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People shaping Groq’s tensor streaming architecture for real-time AI inference
Jonathan Ross and Douglas Wightman founded Groq to build deterministic chips for fast AI inference. After a $20 billion Nvidia licensing deal,…
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Anthropic’s Model Context Protocol enterprise AI integration
Anthropic’s Model Context Protocol reached 97 million monthly downloads and moved under the Linux Foundation, becoming a stateless standard for enterprise AI.…
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Biggest Trends in Legal AI Contract Automation
Legal AI adoption reached 79% in 2026, driven by hyper-specialist agents like Harvey AI that outperform generalist models. The market is projected…
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Why Liquid AI’s liquid neural networks matter now for BMW and MIT robots
Liquid AI’s Liquid Neural Networks use 19 neurons to enable real-time adaptation for edge devices, solving static model limitations. Mercedes-Benz will deploy…
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Common mistakes with Databricks Mosaic AI pricing and Unity Catalog governance
Databricks Mosaic AI components like AI Vector Search and Model Serving have distinct consumption patterns that often lead to budgeting errors.
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Why Cerebras’s wafer-scale chips matter now for AI data center independence
Cerebras’s WSE-3 chip uses a 300mm wafer as a single processor to deliver 21 PB/s memory bandwidth, solving the memory wall for…
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