😺 LIVE: Apple’s AI era starts now?
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Apple’s September 9 event put Siri AI, A20 Pro, AI-assisted iPhone Duo manufacturing, Apple Watch Audio Intelligence, Readiness, Health Age, and photo authenticity at the center of its hardware story. Here’s the full AI…
A practical guide to building, testing, and documenting SQL transformations The post Getting started with dbt appeared first on Towards Data Science.
Meta’s new Muse agent promises to handle everyday tasks from its own cloud computer. Here’s how to get started, what it costs, and why stronger competition is good news for AI users.
Understanding permutation symmetry in deep learning, and what it means for weight averaging and model merging The post The Symmetry That Breaks Neural Network Averaging appeared first on Towards Data Science.
How we split a tightly coupled Python pipeline into independently deployable services The post When One Process Becomes Too Much: Splitting a Pipeline into MCP Services appeared first on Towards Data Science.
OpenAI has released a Navier–Stokes paper and formal proof files. Here’s what the mathematical claim covers, how the AI effort worked, and why the credit dispute remains unresolved.
Statistical thinking beyond formulas The post 10 Statistical Traps We Often Overlook appeared first on Towards Data Science.
A CRM API lets your CRM exchange data and trigger actions across the rest of your tech stack. Here’s how it works, what you can automate, and how to build workflows that don’t create new problems.
OpenAI said 10,000 agents solved Navier–Stokes; Google DeepMind mapped 9 billion DNA variants; Anthropic committed roughly $80B to compute; U.S. agencies warned about model distillation; Meta launched Muse.
Wispr, Actively, and Pendo shared how they actually run Claude agents in production. Their lessons reveal where Managed Agents saves weeks of infrastructure work, and where you may still want to build the stack yourself.