#491 – OpenClaw: The Viral AI Agent that Broke the Internet – Peter Steinberger
Peter Steinberger is the creator of OpenClaw, an open-source AI agent framework that’s the fastest-growing project in GitHub history. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep491-sc See below for timestamps, transcript, and to give feedback, submit question...
The Shadow Giants: Navigating the Hidden Supply Chains of the AI and Robotics Revolution
Let’s explore the comprehensive supply chain of the new technological age. This article analyzes the thriving downstream markets in AI compute, data science, and robotics manufacturing, highlighting the critical roles of thermal management, power infrastructure, and ethical auditing in 2026.
Mapping the Design Space of User Experience for Computer Use Agents
Large language model (LLM)-based computer use agents execute user commands by interacting with available UI elements, but little is known about how users want to interact with these agents or what design factors matter for their user experience (UX). We conducted a two-phase study to map the UX desi...
Trace Length is a Simple Uncertainty Signal in Reasoning Models
Uncertainty quantification for LLMs is a key research direction towards addressing hallucination and other issues that limit their reliable deployment. In this work, we show that reasoning trace length is a simple and useful confidence estimator in large reasoning models. Through comprehensive exper...
Glean’s fight to own the AI layer inside every company
Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. But who will own the AI layer that powers all of it? Glean, which started as an enterprise search product, has evolved into what it calls an “AI work assistant,” aiming to...
Who will own your company’s AI layer? Glean’s CEO explains
Enterprise AI is shifting fast from chatbots that answer questions to systems that actually do the work across an organization. But who will own the AI layer that powers all of it? Glean, which started as an enterprise search product, has evolved into what it calls an “AI work assistant,” aiming to...
AI agents are a risky business. Even when stuck inside the chatbox window, LLMs will make mistakes and behave badly. Once they have tools that they can use to interact with the outside world, such as web browsers and email addresses, the consequences of those mistakes become far more serious. That m...
How AI changes the math for startups, according to a Microsoft VP
Amanda Silver is a corporate vice president at Microsoft’s CoreAI division, where she works on tools for deploying apps and agentic systems within enterprises.
Synthetic Data Is Taking Over AI — And It Might Break Everything
Synthetic data is transforming AI development, solving privacy and scarcity issues — but it also introduces hidden risks like model collapse, bias loops, and regulatory uncertainty.
CodeRabbit Issue Planner helps teams reduce rework, eliminate AI slop, and scale coding agents by aligning on intent before code is written New product integrates directly into Jira, Linear, GitHub Issues, and GitLab to streamline collaborative planning CodeRabbit, the category-defining platform for...
Marvell Completes Acquisition of XConn Technologies
Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced that it has completed its previously announced acquisition of XConn Technologies (“XConn”), a provider of advanced PCIe and CXL switching silicon. The acquisition expands Marvell’s switc...
Build a pipeline and close deals with an exhibit table at TechCrunch Disrupt 2026
Get an unmatched ROI by exhibiting your startup in front of 10,000 tech leaders and investors at TechCrunch Disrupt 2026, October 13-15 in San Francisco. Book your table now before it's gone.
Building an AI Agent to Detect and Handle Anomalies in Time-Series Data
Combining statistical detection with agentic decision-making
The post Building an AI Agent to Detect and Handle Anomalies in Time-Series Data appeared first on Towards Data Science.
ObvioGo Now Integrated with Oracle Life Sciences Clinical One Data Collection
Collaboration adds critical decentralized trial capabilities to the Oracle Life Sciences Clinical One Data Collection solution ObvioHealth and Oracle Health and Life Sciences today announced that ObvioGo® is now directly integrated with Oracle Health and Life Sciences Clinical One Data Collection to...
Stellaromics Appoints Stacie Weninger and Steve McPhail to BOD
Appointments to bolster rapid scaling and execution of Pyxa™ spatial platform Stellaromics, a pioneer in high-resolution 3D spatial multi-omics, today announced the appointment of Stacie Weninger, PhD, and Steve McPhail to its Board of Directors. These strategic appointments come at a pivotal time f...
ZAST.AI Raises $6M Pre-A to Scale “Zero False Positive” AI Code Security
ZAST.AI announced the completion of a $6 million Pre-A funding round led by Hillhouse Capital, bringing the company’s total funding to nearly $10 million. This investment marks a significant validation from capital markets of a new era in cybersecurity: ending the plague of high false positives and ...
Kong Launches Context Mesh to Connect Enterprise Data to AI Agents
Kong Context Mesh transforms existing APIs into agent-ready tooling, addressing the integration gap that threatens agentic AI initiatives Kong Inc., a leading developer of API and AI connectivity technologies, today announced Kong Context Mesh, an industry-first product that can automatically discov...