AI & ML Research 24 Hours

Last updated: July 10, 2026, 2:30 PM ET

AI & ML Research

Anthropic developed a technique offering a clearer view into large language models' internal processes, revealing a "hidden space" where Claude grapples with concepts. This development provides insight into Claude's workings, contrasting with OpenAI's rumored "super app" ambitions. The approach suggests a move beyond current RAG systems, which some argue. Future AI infrastructure may depend on persistent neural states and strict latency budgets rather than vector databases.

Data Engineering & AI Applications

Deutsche Telekom is transforming operations by becoming an AI-native telecommunications company, leveraging OpenAI to improve customer service, employee workflows, and network management. Meanwhile, data engineers are refining their pipelines; one engineer, detailing the use of Python, Docker, Postgre SQL, and Kestra for a production-ready RSS feed. For those building skills in big data, a guide, covering partitions, shuffles, joins, caching, and execution plans.

AI Ethics & Over-reliance

Concerns are emerging around the delegation of cognitive tasks to AI. The idea of "agentic AI" faces scrutiny, drawing parallels to over-dependence on external consultants. This critical view questions the extent to which we should entrust our decision-making processes to machines.