Gary Tan reveals how to leverage the harness in order to achieve 10-100x productivity gains with the same AI model.

The first thing to make clear is that the reasons why Power BI doesn’t work properly with other semantic models are purely ...

Artificial intelligence is rapidly entering nearly every stage of the software development lifecycle. From code generation to ...

When trying out the feature for myself, I asked Gemini to make a simulation of the Moon orbiting the Earth, and it created a ...

The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...

Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.

SQM (Structured Query Model) is a Java framework for representing SQL as a typed immutable model and running end-to-end SQL pipelines. It supports parse, validate, transform/rewrite, render, serialize ...

The GPT-5.3 and 5.4 models represent a different approach, hinting at a major change in how major AI firms build their tech.

In September 2025, the U.S. artificial intelligence company Anthropic announced that Chinese cyber-operators had used its models to target around 30 companies, agencies, and institutions. It was, ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Agent workflows make transport a first-order ...

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...