Applications
AI Image and Video Tools Are Reshaping Everyday Content Production
A practical guide to using AI across visual-content workflows, from ideation and storyboarding to asset creation, localization, revision, consistency, and rights management.
Impact
How Generative AI Is Rewriting Competitive Advantage Across Industries
An examination of how generative AI is shifting sources of industry leadership toward proprietary data, workflow integration, talent, distribution, and the speed of experimentation.
Impact
When Every Company Becomes an AI Company: Differentiation in a Commodity Model Era
An examination of how organizations can remain distinctive when similar foundation models and AI features become widely available, focusing on proprietary workflows, trust, brand, customer relationships, domain expertise, and operational execution.
Impact
The Trust Economy: Why Explainability and Provenance May Become Competitive Assets
An examination of how explainability, auditability, content provenance, and responsible AI deployment can influence adoption, accountability, market reputation, and competitive advantage.
Technologies
The Physical Process That Powers a New Type of Generative AI
Learn how diffusion models turn random noise into coherent images, why denoising works, how training enables generation, and where the technology still falls short.
Technologies
The Computer Scientist Peering Inside AI’s Black Boxes
Explore AI interpretability, how researchers study neural network circuits, why patterns are not always reasoning, and what this means for safer AI.
Basics Theory
Machines Learn Better if We Teach Them the Basics
Learn how clear goals, representative data, useful representations, simple baselines, and targeted feedback create more reliable machine-learning systems.
Applications
Chaos Researchers Can Now Predict Perilous Points of No Return
Chaos researchers identify warning signs of points of no return, helping decision-makers detect falling resilience and act before systems collapse.
The briefing
Stories shaping the conversation
Researchers Gain New Understanding From Simple AI
Discover how simple AI helps researchers uncover links, expose gaps, guide follow-up studies, and sharpen questions while human judgment validates the evidence.
Sparse Networks Come to the Aid of Big Physics
Sparse networks make large physics simulations more manageable by reducing interactions while preserving key effects through validation and adaptive modeling.
Machine Learning Reimagines the Building Blocks of Computing
Explore how machine learning is reshaping computing foundations through learned models, specialized chips, memory systems, and new software design trade-offs.
Researchers Discover a More Flexible Approach to Machine Learning
Researchers develop a flexible machine-learning architecture that adapts to new tasks while preserving knowledge, reducing retraining needs and costs.
AI Is Changing Competitive Mathematics
AI is changing competitive mathematics through personalized practice, faster feedback, and new fairness challenges while making human reasoning and proof vital.
A New Approach to Computation Reimagines Artificial Intelligence
Explore how memory-centered computing brings AI processing closer to data, reducing movement, energy use, and latency while revealing key hardware trade-offs.
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Ideas worth your time
Distinct voices and practical perspectives from across our newsroom.
The Computer Scientist Challenging AI to Learn Better
Why better-learning AI matters: researchers are moving beyond memorization toward reusable knowledge, faster adaptation, efficient training, and reliable transfer.
Verna WesleyHow Chain-of-Thought Reasoning Helps Neural Networks Compute
Learn how chain-of-thought reasoning helps neural networks break down computations, improve accuracy, and expose errors—while understanding its limits.
Georgia VincentGoogle DeepMind Wants to Know if Chatbots Are Just Virtue Signaling
Google DeepMind's look at chatbot virtue signaling explains how paired-scenario tests reveal whether AI values like fairness and privacy guide decisions.
Jennifer RedmondEveryone Wants AI Sovereignty. No One Can Truly Have It.
AI sovereignty is less about total independence than control, resilience, fallback options, and negotiating power across chips, cloud, data, and models.
Isabella MossFed on Reams of Cell Data, AI Maps New Neighborhoods in the Brain
AI brain mapping combines molecular, cellular, and connectivity data to reveal hidden neural neighborhoods while experiments test their biological significance.
Celia KreitnerBuilding the Foundation for an Autonomous Enterprise
Learn how to build an autonomous enterprise by automating high-value decisions, fixing data gaps, integrating systems, setting AI guardrails, and scaling proven workflows.
Mason GarveyMore from the newsroom
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Basics Theory
The AI Was Fed Sloppy Code. It Turned Into Something Evil.
AI does not need malicious intent to cause harm. Learn how flawed code, biased data, misalignment, and weak oversight can turn small bugs into risks.
Applications
The Bay Area’s Animal Welfare Movement Wants to Recruit AI
Explore how Bay Area animal shelters can use AI to streamline adoption and care while preserving human judgment, fairness, privacy, and accountability.
Basics Theory
“World Models,” an Old Idea in AI, Mount a Comeback
World models in AI are returning as tools for prediction and planning. Explore their promise, practical uses, limitations, and path to reliable decisions.
Applications
“Dr. Google” Had Its Issues. Can ChatGPT Health Do Better?
Learn how ChatGPT health guidance can clarify medical information, organize symptoms, and prepare for care—without replacing clinicians or emergency help.
Technologies
Mechanistic Interpretability: 10 Breakthrough Technologies 2026
Explore 10 breakthrough mechanistic interpretability technologies for 2026, from sparse autoencoders and circuit tracing to model debugging, control, and safety.
Impact
Online Harassment Is Entering Its AI Era
Learn how AI-powered harassment enables deepfakes, impersonation, scams, and targeted abuse—and what victims, platforms, and institutions can do.
Applications
Using AI, Mathematicians Find Hidden Glitches in Fluid Equations
AI helps mathematicians find hidden instabilities in fluid equations, guiding the search for counterexamples while humans verify whether glitches are real.
Basics Theory
Meet the New Biologists Treating LLMs Like Aliens
AI behavior research borrows methods from biology to study opaque language models, reveal failure modes, and build safer, more reliable AI systems.
Technologies
Why Do Humanoid Robots Still Struggle With the Small Stuff?
Why do humanoid robots struggle with everyday tasks? Explore the perception, dexterity, uncertainty, and reliability challenges behind small household actions.
Impact
Why Do We Tell Ourselves Scary Stories About AI?
Explore why AI stories feel frightening, how they reflect fears about control and power, and what they reveal about bias, accountability, and human dependence.