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AI Is Becoming a Scientist
10/02/2026 ■ RESEARCHArtificial intelligence has already changed how scientists search, model and analyze. Now it is beginning to move deeper into the research process itself. New systems can generate hypotheses, design experiments, produce formal proofs and revise their own ideas based on results. The shift is subtle but important: AI is no longer only helping scientists work faster. It is starting to participate in the scientific method.
The AI Slowdown Isn’t About Intelligence. It’s About Economics.
09/20/2026 ■ LLMAI is still improving, yet investors and enterprises are asking a more difficult question: are those improvements translating into returns fast enough to justify the cost? The emerging debate around an “AI slowdown” is therefore less about whether artificial intelligence has stopped advancing, and more about whether the economics of AI can keep pace with the scale of investment behind it.
Robotics May Have Found Its Scaling Law — And It’s Not About Robot Data
09/18/2026 ■ ROBOTICSWhat if the breakthrough that finally scales robotics isn’t more robot data, but the billions of hours of physical experience humans generate every day?
The Next Scaling Law for AI Agents Isn’t Data. It’s Environments.
09/08/2026 ■ AI AGENTSLLMs scaled by consuming the internet. AI agents may scale differently—by entering millions of executable worlds where they can act, fail, learn, and try again.
Architecture, Unit Economics, and the 2026 AI Stack: Open Source vs. Closed
08/11/2026 ■ LLMClosed AI APIs are fantastic for rapid prototyping, but they are a financial trap for high-volume scaling. Conversely, open-source AI is essentially "free" until you realize you have to pay for the MLOps team and GPU clusters to run it. Now that the intelligence gap between the two has evaporated, how do you choose?
Beyond Digital Transformation: How AI Is Redefining the Modern Company
08/01/2026 ■ APPLICATIONSFor the past two decades, companies around the world have been trying to become more digital. They moved their infrastructure to the cloud, adopted enterprise software, built data platforms, and connected different parts of their organizations through increasingly sophisticated systems. Then how would it be in the AI era?
Robots Are Learning to Feel: Why Touch Could Be the Next Breakthrough in Physical AI
07/12/2026 ■ ROBOTICSFor most of the modern AI boom, intelligence has been built around things machines can see, read, and hear. Large language models learned from text. Multimodal models added images, video, and audio. Robotics followed the same trajectory: cameras became the dominant sensor, and increasingly powerful vision-language-action models learned to turn visual observations and natural-language instructions into physical movements.
AI Roll-Ups: The New Way to Build Companies
07/01/2026 ■ APPLICATIONSAI roll-ups offer a simple but powerful idea: instead of building every company from scratch, acquire businesses that already have customers, revenue, and industry knowledge, then use AI to make the combined organization operate more efficiently. The real opportunity is not just financial consolidation, but turning a collection of traditional businesses into a more scalable, technology-driven company.
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