100% Unemployment is Inevitable*
TL;DR AI is already raising unemployment in knowledge industries, and if AI continues progressing toward AGI, some knowledge-worker categories may indeed reach 100% unemployment because AI will perform these jobs…
New AI agent learns to use CAD to create 3D objects from sketches | MIT News
Computer-Aided Design (CAD) is the go-to method for designing most of today’s physical products. Engineers use CAD to turn 2D sketches into 3D models that they can then test and…
Moonshot AI Researchers Introduce Seer: An Online Context Learning System for Fast Synchronous Reinforcement Learning RL Rollouts
How do you keep reinforcement learning for large reasoning models from stalling on a few very long, very slow rollouts while GPUs sit under used? a team of researchers from…
Streamline AI operations with the Multi-Provider Generative AI Gateway reference architecture
As organizations increasingly adopt AI capabilities across their applications, the need for centralized management, security, and cost control of AI model access is a required step in scaling AI solutions.…
The Next Leap in Intelligence: Hello, I am Gemini 3 Pro
The post, dated November 18, 2025, is a self-introduction styled as if written by Google’s newly released Gemini 3 Pro AI model, highlighting claimed advancements in reasoning, multimodality, and agency,…
The cost of thinking | MIT News
Large language models (LLMs) like ChatGPT can write an essay or plan a menu almost instantly. But until recently, it was also easy to stump them. The models, which rely…
An Implementation of a Comprehensive Empirical Framework for Benchmarking Reasoning Strategies in Modern Agentic AI Systems
In this tutorial, we dive deep into how we systematically benchmark agentic components by evaluating multiple reasoning strategies across diverse tasks. We explore how different architectures, such as Direct, Chain-of-Thought,…
Bringing tic-tac-toe to life with AWS AI services
Large language models (LLMs) now support a wide range of use cases, from content summarization to the ability to reason about complex tasks. One exciting new topic is taking generative…
Cybersecurity and LLMs – AI Blog
Traditional software is deterministic primarily. You write code, you specify inputs and outputs, you audit logic branches. Security people can threat-model that. LLMs are different in a few critical ways:…
Charting the future of AI, from safer answers to faster thinking | MIT News
Adoption of new tools and technologies occurs when users largely perceive them as reliable, accessible, and an improvement over the available methods and workflows for the cost. Five PhD students…