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AI & ML Research 3 Days

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43 articles summarized · Last updated: LATEST

Last updated: June 25, 2026, 8:30 AM ET

AI Model Development & Architecture

OpenAI and Broadcom unveiled Jalapeño, a custom chip designed for Large Language Model (LLM) inference, aiming to boost performance and efficiency in AI systems. This collaboration signals a move towards specialized hardware to meet the growing demands of advanced AI models. Separately, Google Deep Mind introduced computer use capabilities within its Gemini 3.5 Flash model, expanding its functionality for complex tasks. Research from Google AI also explored how reasoning abilities unlock latent knowledge within LLMs, suggesting that prompting models to think before answering can improve their recall of parametric information. Furthermore, a study on Gemma models revealed a three-phase factual recall circuit, detailing how transformer layers store and retrieve data, with the residual stream playing a significant role.

AI Agents & Productivity

OpenAI's research demonstrates how AI agents are transforming work by enabling longer, more complex tasks and increasing productivity across various roles. This advancement is further supported by practical implementation guides, such as one detailing why building multi-agent pipelines can be more effective than single agents, using text-to-SQL as an example. For developers, Towards Data Science provided a step-by-step