AI

How to Build a Meta-Cognitive AI Agent That Dynamically Adjusts Its Own Reasoning Depth for Efficient Problem Solving

AI

AI Interview Series #4: Transformers vs Mixture of Experts (MoE)

MacroeconomicsRegulatory

Sturgeon’s Corollary – The Big Picture

MacroeconomicsRegulatory

10 Thursday AM Reads – The Big Picture

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AI

A smarter way for large language models to think about hard problems | MIT News

MacroeconomicsRegulatory

At The Money: Finding the Hidden Alpha in SEC filings

AI

MIT engineers design an aerial microrobot that can fly as fast as a bumblebee | MIT News

AI

Helping power-system planners prepare for an unknown future | MIT News

AI

NVIDIA and Mistral AI Bring 10x Faster Inference for the Mistral 3 Family on GB200 NVL72 GPU Systems

AI

Google DeepMind Researchers Introduce Evo-Memory Benchmark and ReMem Framework for Experience Reuse in LLM Agents

AI

How We Learn Step-Level Rewards from Preferences to Solve Sparse-Reward Environments Using Online Process Reward Learning

AI

New control system teaches soft robots the art of staying safe | MIT News

MacroeconomicsRegulatory

Transcript: Wilhelm Schmid, A. Lange & Söhne CEO

AI

DeepSeek Researchers Introduce DeepSeek-V3.2 and DeepSeek-V3.2-Speciale for Long Context Reasoning and Agentic Workloads

AI

MIT Sea Grant students explore the intersection of technology and offshore aquaculture in Norway | MIT News

AI

MiniMax-M2: Technical Deep Dive into Interleaved Thinking for Agentic Coding Workflows

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