Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT - WSJ
Exclusive | The Sudden Fall of OpenAI’s Most Hyped Product Since ChatGPT WSJ
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pandas vs Polars vs DuckDB: A Data Scientist’s Guide to Choosing the Right Tool
Image by author Originally published on codecut.ai Introduction pandas has been the standard tool for working with tabular data in Python for over a decade. But as datasets grow larger and performance requirements increase, two modern alternatives have emerged: Polars , a DataFrame library written in Rust, and DuckDB , an embedded SQL database optimized for analytics. Each tool excels in different scenarios: ┌────────┬──────────┬────────────────────────────┬─────────────────────────────────────────────────┐ │ Tool │ Backend │ Execution Model │ Best For │ ├────────┼──────────┼────────────────────────────┼─────────────────────────────────────────────────┤ │ pandas │ C/Python │ Eager, single-threaded │ Small datasets, prototyping, ML integration │ │ Polars │ Rust │ Lazy/Eager, multi-threaded
Agentic AI deployment best practices: 3 core areas
The demos look slick. The pressure to deploy is real. But for most enterprises, agentic AI stalls long before it scales. Pilots that function in controlled environments collapse under production pressure, where reliability, security, and operational complexity raise the stakes. At the same time, governance gaps create compliance and data exposure risks before teams realize... The post Agentic AI deployment best practices: 3 core areas appeared first on DataRobot .
The agentic AI cost problem no one talks about: slow iteration cycles
Imagine a factory floor where every machine is running at full capacity. The lights are on, the equipment is humming, the engineers are busy. Nothing is shipping. The bottleneck isn’t production capacity. It s the quality control loop that takes three weeks every cycle, holds everything up, and costs the same whether the line is moving... The post The agentic AI cost problem no one talks about: slow iteration cycles appeared first on DataRobot .
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I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here's What Actually Works.
I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here’s What Actually Works. DOM-based automation requires you to reverse-engineer someone else’s frontend and pray they don’t change it. They always change it. Source: Image by Resource Database on Unsplash Last month, I spent a couple of weeks attempting to build a testing framework for an app that includes a web app, a Slack app, and connections to multiple external sources, requiring testing of interface elements on external web interfaces. I managed to vibe engineer a Playwright-based test suite that “sort of™” worked. Until it didn’t. One of the external sites had updated its dashboard. Not a redesign, just a CSS class rename on a table component. Three automations targeting that table stopped working simultaneously. A
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