AI & ML Research 24 Hours

Last updated: July 11, 2026, 2:30 AM ET

Data Engineering and ETL

A data engineer to building a second ETL pipeline, focusing on production readiness with Python, Docker, Postgre SQL, and Kestra. For those moving beyond basic data processing, a guide explains PySpark for intermediate users, covering partitions, shuffles, joins, caching, and execution plans.

AI Infrastructure and Agents

The limitations of Retrieval-Augmented Generation (RAG) were discussed, with one author arguing vector databases are a temporary solution. The future of AI infrastructure, they suggest, relies on persistent neural states and strict latency budgets. Another piece questions the hype around agentic AI, drawing parallels to over-reliance on external consultants and the delegation of cognitive tasks to machines.

AI Applications and Research

Deutsche Telekom is transforming its telecommunications operations with AI, integrating OpenAI to improve customer service, employee workflows, and network management. Meanwhile, Anthropic's Claude was observed in a hidden state where it appears to be puzzling over concepts, offering a glimpse into the model's inner workings.