AI & ML Research 24 Hours

Last updated: July 20, 2026, 5:30 PM ET

AI Development & Deployment

OpenAI shared lessons long-running AI models, detailing new safety risks and observed failures, alongside improved safeguards developed through iterative deployment. Researchers are also finding that AI systems more readily than humans. This raises concerns for AI-powered resume screening, as LLMs can inadvertently perpetuate existing biases.

LLMs and Engineering Tools

Engineers can for extended durations, potentially enhancing productivity. Furthermore, a "Loop Engineering" approach, utilizing adaptive parsing with Azure and figures with vision LLMs. In data preparation, techniques exist to to uncategorized rows within Power Query and DAX, crucial for effective reporting and aggregation.

AI Safety and Trust

Discussions around AI decision-making are exploring fundamental challenges, such as in scenarios where trust is compromised. The broader geopolitical landscape of AI development is also seeing increased friction, with reportedly creating divisions within the AI community.