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May 13, 2026 Announcements Introducing Claude for Small Business

Introducing Claude for Small Business We're launching Claude for Small Business—a package of connectors and ready-to-run workflows that put Claude inside the tools small businesses depend on—to help small business owners take full advantage of AI and cross off items on the to-do list. Small businesses account for 44% of U.S. GDP and employ nearly half the private-sector workforce, but their adoption of AI has lagged behind larger enterprises. Tools and training are rarely tailored to the ways small businesses operate, and as a result their use often stops at the chat window. As part of our public benefit mission, we are committed to helping business owners harness AI more fully and effectively for their most important work. Claude for Small Business is a toggle install that puts Claude to work inside the tools small business owners already use: Intuit…

AI invades Princeton, where 30% of students cheat—but peers won't snitch

Pity poor Princeton. The ultra-elite university has a mere $38 billion in endowment money. Many of its dorms lack air conditioning. And it’s in New Jersey. I kid about New Jersey, of course. Despite not being allowed to pump one’s own gas there, the “Garden State” grew on me during three years spent in the Princeton area. I still keep up with its goings-on, which led me to this week’s article in the Daily Princetonian on how AI was disrupting the university’s long-running traditions. Although a beautiful place, Princeton is also extremely competitive; before one heads up to New York to become a captain of finance, one needs to succeed in the classroom. And when everyone else in the classroom is a genius, cheating becomes a real option to stay ahead, especially in the sciences. In a 2025 survey of…

Rivian adds a new onboard AI assistant to its latest software update

Rivian has quickly built a reputation as one of the auto industry’s leaders when it comes to vehicle software. Its clean-sheet approach to an electric vehicle’s electronic architecture earned it a $5 billion investment from Volkswagen Group, and its in-house infotainment system is beloved by owners despite no plans inside the company to support phone mirroring through Apple CarPlay or Android Auto. In the absence of phone mirroring—and the way it lets you easily use Siri or Google Assistant hands-free while driving—Rivian has now added a new AI digital helper in its latest software update, compatible with both older Gen1 Rivians (model-year 2024 and older) as well as the more recent Gen2 models. The Rivian Assistant rolled out in its latest software update, 2026.15, to all owners with a subscription or trial for Connect+, Rivian’s connectivity services. You activate it…

Anthropic blames dystopian sci-fi for training AI models to act “evil”

Those with an interest in the concept of AI alignment (i.e., getting AIs to stick to human-authored ethical rules) may remember when Anthropic claimed its Opus 4 model resorted to blackmail to stay online in a theoretical testing scenario last year. Now, Anthropic says it thinks this “misalignment” was primarily the result of training on “internet text that portrays AI as evil and interested in self-preservation.” In a recent technical post on Anthropic’s Alignment Science blog (and an accompanying social media thread and public-facing blog post), Anthropic researchers lay out their attempts to correct for the kind of “unsafe” AI behavior that “the model most likely learned… through science fiction stories, many of which depict an AI that is not as aligned as we would like Claude to be.” In the end, the model maker says the best remedy for…

Altman forced to confront claims at OpenAI trial that he's a prolific liar

Elon Musk and Sam Altman had very different experiences while testifying at a trial that will determine OpenAI’s future, including who runs it, where its research funding comes from, and who can profit from its boldest new technologies. Musk—who filed the lawsuit alleging that OpenAI under its current leadership has abandoned its nonprofit mission to build AI that benefits humanity and instead serves to enrich people like Altman—spent three grueling days on the stand. At times, he lost his temper, as OpenAI’s lawyer, William Savitt, tried to poke holes in Musk’s claims that OpenAI executives teamed up with Microsoft to “steal a charity” after duping Musk into donating $38 million in early funding. On Tuesday, Altman did not face such a grilling from Musk’s lawyer, Steven Molo. Instead, Altman appeared jittery at first but steeled his nerves rather quickly. He…

“Will I be OK?” Teen died after ChatGPT pushed deadly mix of drugs, lawsuit says

OpenAI is facing down another wrongful-death lawsuit after ChatGPT told a 19-year-old, Sam Nelson, to take a lethal mix of Kratom and Xanax. According to a complaint filed on behalf of Nelson’s parents, Leila Turner-Scott and Angus Scott, Nelson trusted ChatGPT as a tool to “safely” experiment with drugs after using the chatbot for years as a go-to search engine when he was in high school. The teen viewed ChatGPT so highly as an authoritative source of information that he once swore to his mom that ChatGPT had access to “everything on the Internet,” so it “had to be right,” when she questioned if the chatbot was always reliable, the complaint said. But Nelson’s confidence in ChatGPT ended up being dangerously misplaced. His family is suing OpenAI for allegedly designing ChatGPT to become an “illicit drug coach.” Nelson’s death by…

The newest AI boom pitch: Host a mini data center at your home

Data centers may be coming to your neighborhood as side installations associated with new homes—and in exchange would offer subsidized electricity and Internet access along with backup batteries to homeowners. The company behind the plan has already begun pilot testing in preparation for a 100-home trial run this year. The “distributed data center solution” announced by the San Francisco startup SPAN would deploy thousands of XFRA nodes that contain liquid-cooled Nvidia RTX Pro 6000 Blackwell Server Edition GPUs operating with minimal noise, according to a press release. By harnessing excess power capacity among US households, SPAN aims to quickly expand the available compute for AI workloads without the costs and delays associated with trying to build warehouse-sized data centers. “Data centers are loud, ugly, and often drive up local electricity bills,” said Chris Lander, vice president of XFRA at SPAN,…

Amazon employees are "tokenmaxxing" due to pressure to use AI tools

Amazon employees are using an internal AI tool to automate non-essential tasks in a bid to show managers they are using the technology more frequently. The Seattle-based group has started to widely deploy its in-house “MeshClaw” product in recent weeks, allowing employees to create AI agents that can connect to workplace software and carry out tasks on a user’s behalf, according to three people familiar with the matter. Some employees said colleagues were using the software to automate additional, unnecessary AI activity to increase their consumption of tokens—units of data processed by models. They said the move reflected pressure to adopt the technology after Amazon introduced targets for more than 80 percent of developers to use AI each week, and earlier this year began tracking AI token consumption on internal leader boards. “There is just so much pressure to use…

Android is getting a big AI overhaul in 2026

Google’s I/O conference is next week, and we expect to hear a lot about the company’s AI endeavors. The company says there’s so much to talk about that it’s spilling the Android beans a little early, and yes, a lot of AI is involved. In the coming months, Google will roll out more smartphone AI features under the Gemini Intelligence banner, bringing more automation and customization to your phone. App automation will be a major element of Android going forward, Google says. Automation for apps is expanding after Google began testing it earlier in 2026 with DoorDash and Uber on Pixel and Samsung phones. It was a very frustrating experience at launch, but Google says it has spent the intervening months fine-tuning the system. Google promises that Android will be able to handle more complex automations across apps. For example,…

Google's Android-powered laptops are called Googlebooks, and they're coming this year

Google took its first swing at laptops with Chromebooks way back in 2011. These web-first laptops have seen success over the years, mostly in enterprise and education. Google insists Chromebooks aren’t going away, but the company’s focus has shifted to something new: Googlebooks. That’s what Google has decided to call the new line of Android-powered laptops, which will begin shipping later this year. If you thought other Google products were steeped in Gemini, you haven’t seen anything yet. Google says it designed Googlebooks from the ground up with Gemini Intelligence, and it all starts with the cursor. Google calls this the Magic Pointer. Just wiggle the cursor back and forth, and it will activate a full-screen Gemini experience. The AI will see what’s on your screen so it can make contextual suggestions and pull in data from multiple apps. What…

Data center guzzled 30 million gallons of water and nobody noticed for months

A curious case in Georgia serves as a warning for many parts of the US hastily approving data center developments without first updating their water systems to better monitor for severe upticks in usage. On Friday, Politico reported that one of the country’s biggest data center developments had guzzled nearly 30 million gallons of water without paying for it. Even worse, the water grab came at a time when nearby drought-stricken residents were warned to restrict their personal water consumption and some reported sudden decreases in water pressure. An investigation conducted by utility officials in Georgia’s Fayette County found that the Quality Technology Services (QTD) facility had two industrial-scale water hookups that weren’t being monitored. “One water connection had been installed without the utility’s knowledge, and the other was not linked to the company’s account and therefore wasn’t being billed,”…

Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI

Artificial Intelligence Fine-tune LLM with Databricks Unity Catalog and Amazon SageMaker AI When you fine-tune large language models (LLMs) with Amazon SageMaker AI while using Databricks Unity Catalog, you might face unique challenges like how to maintain strict data governance while using best-in-class machine learning (ML) services. Unity Catalog governs metadata and permissions, while the underlying data resides in Amazon Simple Storage Service (Amazon S3) when you choose AWS as the cloud environment for their Databricks Workspace. When SageMaker AI Training job accesses that data, you must preserve and not bypass the Unity Catalog’s fine-grained authorization model. Without a structured integration pattern, you risk inconsistent policy enforcement, audit gaps, and compliance exposure. For example, if SageMaker AI Training jobs bypass Unity Catalog’s authorization model when reading S3 objects, you lose visibility into which data trained which models. This creates critical…

Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments

Artificial Intelligence Securing AI agents: How AWS and Cisco AI Defense scale MCP and A2A deployments Model Context Protocol (MCP) adoption has accelerated rapidly since its introduction in November 2024. Enterprises now manage dozens to hundreds of MCP servers—tools that extend AI agent capabilities by connecting them to external data sources and APIs. The Agent-to-Agent (A2A) Protocol followed in April 2025, enabling autonomous agents to communicate directly without human intervention. More recently, Agent Skills emerged across enterprise infrastructure. This growth has created three security gaps: teams lack visibility into which tools and agents are deployed, manual security reviews can’t scale to match deployment velocity, and compliance frameworks require audit trails that don’t exist for autonomous AI agents. Organizations face risks from unvetted MCP servers, A2A agents, and Skills: inadvertent access to sensitive data systems, compliance violations under SOX and GDPR…

Build real-time voice streaming applications with Amazon Nova Sonic and WebRTC

Artificial Intelligence Build real-time voice streaming applications with Amazon Nova Sonic and WebRTC Building end-to-end live streaming applications with real-time voice interaction presents several challenges: network bandwidth constraints can cause high latency and quality degradation in time-critical applications. Language barriers limit effective human-machine interaction in multilingual voice communication. Scalability and resilience require a difficult balance between performance and infrastructure costs. Cross-browser and mobile compatibility demands significant development effort, especially for startups. This post introduces a solution based on Amazon Nova 2 Sonic (Nova Sonic) and Amazon Kinesis Video Streams WebRTC (WebRTC) that addresses these challenges. WebRTC is responsible for dynamically adjusting the bitrate in unstable networks, which helps to maintain audio quality while reducing dropped connections. Nova Sonic provides effective human language dialogues, so users can interact more naturally in their chosen language. Both services are fully managed by AWS,…

Build financial document processing with Pulse AI and Amazon Bedrock

Artificial Intelligence Build financial document processing with Pulse AI and Amazon Bedrock Financial institutions process thousands of complex documents daily. Optical Character Recognition (OCR) errors in financial data can propagate through interconnected calculations, affecting analytical accuracy. While a single OCR error in a standard legal document might require only a quick manual correction, the same mistake in financial data can cascade through interconnected calculations, leading to systematic errors in analysis and potentially costly to organizations. Traditional OCR tools fall critically short when processing the complex financial documents that institutions handle daily—balance sheets, income statements, SEC filings, research reports, and audit materials. These documents feature intricate table structures with merged cells and hierarchical data, multi-column layouts with interconnected references, and context-dependent information requiring semantic understanding. Traditional OCR approaches treat these documents as images, missing the structural relationships and contextual nuances that…

Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI

Artificial Intelligence Navigating EU AI Act requirements for LLM fine-tuning on Amazon SageMaker AI The EU AI Act requires organizations fine-tuning large language models (LLMs) to track computational resources measured in floating-point operations (FLOPs) to determine compliance obligations. As customers increasingly fine-tune LLMs for domain-specific use cases, we hear a common question: how do I know if my training job triggers new regulatory obligations? Amazon SageMaker AI provides a managed machine learning (ML) service for building, training, and deploying models. This solution uses Amazon SageMaker Training jobs to run fine-tuning workloads on fully managed infrastructure. SageMaker Training jobs handle resource provisioning, scaling, and cluster management, with built-in support for distributed training, integration with AWS CloudTrail and Amazon CloudWatch for governance, and automatic decommissioning of compute resources after training completes. The Fine-Tuning FLOPs Meter extends these capabilities with purpose-built compliance tracking…

Automate schema generation for intelligent document processing

Artificial Intelligence Automate schema generation for intelligent document processing Before you can extract information from documents using intelligent document processing (IDP) techniques, you need a schema for each document class that defines what to extract. But how do you create schemas when you have thousands of documents and don’t know what classes exist? Doing this at scale can take substantial manual effort, making downstream IDP initiatives difficult to justify. In this post, we’ll show you how our multi-document discovery feature solves this problem. It serves as an automated pre-processing step, analyzing unknown documents, clustering them by type, and generating schemas ready for the IDP Accelerator. You’ll learn how the new capability uses visual embeddings for automatic clustering and agents for schema generation. We’ll also walk you through running the solution on your own document collections. IDP Accelerator The IDP Accelerator…

How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS

Artificial Intelligence How Amazon Finance streamlines regulatory inquiries by using generative AI on AWS Amazon’s Finance Technology (FinTech) teams build and operate systems for Amazon teams to manage regulatory inquiries in compliance with different jurisdictions. These teams process regulatory inquiries from authorities, each presenting different requirements, document formats, and complexity levels. Processing these regulatory inquiries involves reviewing documentation, extracting relevant information, retrieving supporting data from multiple systems within Amazon’s infrastructure, and compiling responses within regulatory timeframes. As inquiry frequency and business complexity grew, Amazon needed a more scalable approach. In this post, we demonstrate how Amazon FinTech teams are using Amazon Bedrock and other AWS services to build a scalable AI application to transform how regulatory inquiries are handled. Each team using this solution creates and maintains its own dedicated knowledge base, populated with that team’s specific documents and reference…

Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account

Artificial Intelligence Introducing Claude Platform on AWS: Anthropic’s native platform, through your AWS account Today, we’re excited to announce the general availability of Claude Platform on AWS. Claude Platform on AWS is a new service that gives customers direct access to Anthropic’s native Claude Platform experience through their AWS account, with no separate credentials, contracts, or billing relationships required. AWS is the first cloud provider to offer access to the native Claude Platform experience. In this post, we explore how Claude Platform on AWS works and how you can start using it today. Claude Platform experience through AWS With Claude Platform on AWS, you work with the same APIs, features, and console experience available through Anthropic directly. This includes the Messages API, Claude Managed Agents (beta), advisor tool (beta), web search and web fetch, MCP connector (beta), Agent Skills (beta),…

Building web search-enabled agents with Strands and Exa

Artificial Intelligence Building web search-enabled agents with Strands and Exa This post is co written by Ishan Goswami and Nitya Sridhar from Exa. If you are building web search-enabled AI agents for research, fact-checking, or competitive intelligence, access to current and reliable information is critical. Most general-purpose search APIs are not designed for agent workflows. They return HTML-heavy pages and short snippets optimized for human browsing, not structured data that an agent can directly consume. As a result, developers often need to build additional layers, custom crawlers, parsers, and ranking logic, to transform this content into something usable within an agent workflow. The Exa integration for the Strands Agents SDK addresses this gap with an AI-native search and retrieval layer built directly into the tool interface. Exa delivers clean, structured content formatted for direct use in LLM context windows, without…

Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions

Artificial Intelligence Amazon Quick: Accelerating the path from enterprise data to AI-powered decisions Enterprise data with tens of millions of rows, row-level and column-level security, and dozens of datasets spanning multiple business domains need AI-generated answers that are trustworthy, reproducible, and fast, while respecting governance rules consistently. With foundation models (FMs), organizations can build systems that work well for small datasets where a business user asks a question about their data and gets an answer in seconds. Amazon Quick can also help turn your large enterprise data into fast and accurate AI-powered decisions. In this post, you will learn about five new capabilities of Amazon Quick that accelerate how data professionals deliver trusted AI-powered insights at enterprise scale. Dataset Q&A: Talk to your data directly When a VP asks, “How is churn trending for this product?“, getting that answer means…

Generating Beautiful UIs May 08, 2026

With contributions from Sherif Cherfa and Halley Chang There’s an intuitive skepticism we have toward AI-generated work. We see it clearly in writing, where the patterns have gotten familiar and punctuation (the em dash — ) has become a universal signal that AI has been used. Design has lagged behind writing, but it’s catching up. Recent models can produce better UIs, yet it still requires heavy hand-holding and prompt “band-aids.” Overall, AI-generated designs often lack that feeling of deep satisfaction, joy, or whimsy that human designers create. Basic prompts produce boring outputs Media theorist Marshall McLuhan is often credited for his beliefs on the co-evolution of humans and tools: “we shape our tools, and thereafter our tools shape us.” Although AI can create superficially “beautiful” designs, they’re often shallow. When you give a model a generic prompt, you get a…

Building Blocks for Foundation Model Training and Inference on AWS

Building Blocks for Foundation Model Training and Inference on AWS Figure: Adapted from "AI's Three Scaling Laws, Explained" (NVIDIA Blog). Taken together, these scaling regimes push the foundation-model lifecycle—pre-training, post-training, and inference—toward convergent infrastructure requirements: tightly coupled accelerator compute, a high-bandwidth low-latency network, and a distributed storage backend. They also raise the importance of orchestration for resource management, and of application- and hardware-level observability to maintain cluster health and diagnose performance pathologies at scale. Another key trend is the increasing reliance of the foundation-model lifecycle on an open-source software (OSS) ecosystem that spans model development frameworks, cluster resource management, and operational tooling. At the cluster layer, resource management is typically provided by systems such as Slurm and Kubernetes. Model development and distributed training are commonly implemented in frameworks such as PyTorch and JAX. Monitoring and visualization—that is, observability—are often achieved…

Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer

Import AI 456: RSI and economic growth; radical optionality for AI regulation; and a neural computer What laws does superintelligence demand? Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. Regulate? Don’t regulate. There’s a third way: Radical Optionality: …Governments should invest in the tools now that they might need in a future crisis… Researchers with the Institute for Law & AI have written about “radical optionality”, an approach whereby governments might give themselves the tools that they may need in the future if powerful AI starts to massively disrupt the world. “At its core, radical optionality is about preserving democratic governments’ ability to make good decisions about how to govern transformative AI systems as circumstances evolve. In the short term, this…

GridSFM: A new, small foundation model for the electric grid

Microsoft releases a lightweight foundation model that can predict AC optimal power flow in milliseconds, boosting efficiency and unlocking cost savings in grid analysis. At a glance - Microsoft introduces GridSFM, a small foundation model that approximates AC optimal power flow in milliseconds, unlocking decisions that can directly impact up to $20B/year in congestion losses and 3.4 TWh of renewable curtailment. - Beyond estimating generator dispatch and costs, GridSFM produces full AC system states, giving operators direct visibility into congestion, stability, and overall system health. - It provides a foundation for the community to build advanced power grid simulators and planning tools without recreating data or models from scratch. Microsoft introduces GridSFM, a small foundation model for solving AC optimal power flow (AC-OPF) problems in transmission power grids. This follows our earlier release of a U.S.-based open transmission-topology dataset that…

mimalloc: A new, high-performance, scalable memory allocator for the modern era

At a glance - Today’s critical services and applications are often highly concurrent, using hundreds of threads. They also operate at large memory scales, frequently hundreds of gigabytes, especially when using large language models. - mimalloc is an open-source, modern, scalable memory allocator that is a drop-in replacement for malloc and free. It is relatively small (~12K lines), with clear internal data structures, and is easy to build and integrate into other projects. It provides bounded worst-case allocation times (up to OS primitives), bounded space overhead, low internal fragmentation, and minimal contention by relying almost exclusively on atomic operations. - mimalloc is available on GitHub (opens in new tab) and has over 12K stars. mimalloc At the RiSE group at Microsoft Research (MSR), we conduct fundamental research into formal methods, programming languages, and software engineering (including emerging agentic systems), with…

Advancing AI for materials with MatterSim: experimental synthesis, faster simulation, and multi-task models

At a glance - Experimental validation: Using high-throughput screening with MatterSim-v1, we previously identified tetragonal tantalum phosphorus (TaP) as a potential high-performance thermal conductor. Now we have experimentally synthesized it and measured its thermal conductivity (152 W/m/K) to be close to the thermal conductivity of silicon. - Faster simulation: We have accelerated MatterSim-v1 model inference by 3-5x and integrated it with the LAMMPS software package, enabling large-scale simulations across multiple GPUs. - New model release: We are introducing MatterSim-MT, a multi-task foundation model for in silico materials characterization that enables the simulation of complex, multi-property phenomena beyond what potential energy surfaces alone can capture. Materials design underpins a wide range of technological advances, from nanoelectronics to semiconductor design and energy storage. Yet development cycles for novel materials remain slow and costly. Universal machine learning interatomic potentials aim to accelerate the…

SocialReasoning-Bench: Measuring whether AI agents act in users’ best interests

At a glance - AI agents are moving into social contexts. When agents manage calendars, negotiate purchases, or interact with other agents on a user’s behalf, they need more than task competence—they need social reasoning. - SocialReasoning-Bench evaluates that ability. The benchmark tests whether an agent can negotiate for a user in two realistic settings: Calendar Coordination and Marketplace Negotiation. - The benchmark measures both outcomes and process: it scores agents on outcome optimality (how much value they secure for the user) and due diligence (whether they follow a competent decision-making process). - Current frontier models often leave value on the table. They usually complete the task, but they frequently accept suboptimal meeting times or poor deals instead of advocating effectively for the user. - Prompting helps, but it is not enough. Even with explicit guidance to act in the…

AI chatbots are giving out people’s real phone numbers

AI chatbots are giving out people’s real phone numbers People report that their personal contact info was surfaced by Google AI—and there’s apparently no easy way to prevent it. People report that their personal contact info was surfaced by Google AI—and there’s apparently no easy way to prevent it. A Redditor recently wrote that he was “desperate for help”: for about a month, he said, his phone had been inundated by calls from “strangers” who were “looking for a lawyer, a product designer, a locksmith.” Callers were apparently misdirected by Google’s generative AI. In March, a software developer in Israel was contacted on WhatsApp after Google’s chatbot Gemini provided incorrect customer service instructions that included his number. And in April, a PhD candidate at the University of Washington was messing around on Gemini and got it to cough up her…

The Download: making drugs in orbit and NASA’s nuclear-powered spacecraft

The Download: making drugs in orbit and NASA’s nuclear-powered spacecraft Plus: Sam Altman claims Elon Musk tried to seize control of OpenAI. This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. A plan to make drugs in orbit is going commercial A startup called Varda Space Industries is betting that the future of pharmaceuticals lies in orbit. The company has signed a deal with United Therapeutics to test whether drugs crystallize differently in microgravity, potentially creating improved versions with new properties. The idea sounds futuristic, but falling launch costs and reusable rockets are making space-based manufacturing seem increasingly plausible. Varda says the partnership could mark an important step toward building products in orbit for use back on Earth. Discover how space could become the next…

A plan to make drugs in orbit is going commercial

A plan to make drugs in orbit is going commercial United Therapeutics is collaborating with Varda Space Industries to test pharmaceuticals in outer space. Varda Space Industries, a startup that’s been pitching its ability to perform drug experiments in space, says it has signed up the pharmaceutical company United Therapeutics in what may be remembered as a notable step toward in-orbit manufacturing. The idea of building things in outer space for use on Earth has so far been explored mostly on board the International Space Station, and only in small-scale experiments backed by governments. But Varda, based in El Segundo, California, is now telling drug companies it has a practical, and repeatable, way to produce novel molecules in microgravity. “This is the first commercial path to products made in space,” says Michael Reilly, Varda’s chief strategy officer. The scientific idea…

World Models: 10 Things That Matter in AI Right Now

World Models: 10 Things That Matter in AI Right Now Join a subscriber-only discussion live on Thursday, May 21. World models recently made our list of 10 Things That Matter in AI Right Now. Watch executive editor Niall Firth explain why this emerging area of AI is gaining so much attention. Join MIT Technology Review editors and reporters for a subscriber-only Roundtables discussion, "Can AI Learn to Understand the World?" exploring how AI may evolve to better reason about the real world and what this could mean for the future of AI systems. Related Stories: - How Pokémon Go is giving delivery robots an inch-perfect view of the world - 10 Things That Matter in AI Right Now: World Models - Yann LeCun has a bold new vision for the future of AI Speakers: Keep Reading Most Popular OpenAI is…

The Download: a Nobel winner on AI, and the case for fixing everything

The Download: a Nobel winner on AI, and the case for fixing everything Plus: the first zero-day exploit built by AI has been discovered. This is today's edition of The Download, our weekday newsletter that provides a daily dose of what's going on in the world of technology. Three things in AI to watch, according to a Nobel-winning economist A few months before he won the Nobel Prize in economics in 2024, Daron Acemoglu published a paper that earned him few fans in Silicon Valley. He argued that AI would give only a small boost to US productivity and would not eliminate the need for human work. Two years later, Acemoglu’s measured take has not caught on. The technology has advanced quite a bit since his cautious predictions, but the data is still largely on his side. MIT Technology Review…

Implementing advanced AI technologies in finance

Sponsored Implementing advanced AI technologies in finance Successful AI implementation requires shifts in workplace culture as well as use cases that can scale across the enterprise. In partnership withOracle NetSuite In finance departments that have long been defined by precision and control, AI has arrived less as a neatly managed upgrade than as a quiet insurgency. Employees are already using it while leadership races to impose structure, governance, and strategy after the fact. The result is a paradox: one of the most tightly regulated functions in the enterprise is now among the most experimentally transformed. What’s emerging is a layered shift in how work gets done. From variance commentary and fraud detection to contract review and close narrative drafting, AI is embedding itself across workflows, particularly where unstructured data once slowed down everything. Yet, as Glenn Hopper, head of AI…

Innovation abounds in device charging

Sponsored Innovation abounds in device charging No longer peripheral accessories, chargers today are more powerful, portable, and proactive. Consumers can look forward to rapid innovations in the coming years. In partnership withAnker The changes may be less perceptible than in smartphones, tablets, or wearables, but chargers have also been quietly reinvented over the last decade. At one time a bulky mix of tangled cables and connectors, slow to perform and prone to overheating, they’re now smaller, safer, and faster, thanks to a slew of technological advances. These advances include a switch to gallium nitride (GaN), which has now usurped silicon as the preferred semiconductor, capable of handling higher voltages, faster switches, and more efficient conduction. Multi-port chargers, coupled with an industry-wide shift toward USB-C standardization, mean a single charger can handle multiple devices. And early smart chargers are also trickling…

Fostering breakthrough AI innovation through customer-back engineering

Sponsored Fostering breakthrough AI innovation through customer-back engineering Agentic AI is helping organizations completely reimagine core banking processes and operations from the customer perspective, rather than simply making incremental improvements. In partnership withCapital One Despite years of digitization, organizations capture less than one-third of the value expected from digital investments, according to McKinsey research. That’s because most big companies begin with technological capabilities and bolt applications onto them, rather than starting with customer needs and working backward to technology solutions. Not prioritizing the customer can create fragmented solutions; disjointed customer experiences; and ultimately, failed transformations. Organizations that achieve outsized results from AI flip the script. They adopt a “customer-back engineering” mindset, putting customers at the heart of technology transformation. It’s a strategy in which products and services are developed with the customer experience first in mind, including the customers’ challenges,…

Three things in AI to watch, according to a Nobel-winning economist

Three things in AI to watch, according to a Nobel-winning economist Daron Acemoglu is more cautious than most about predictions of a jobs apocalypse. Here’s what’s worrying him instead. This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. A few months before he was awarded the Nobel Prize in economics in 2024, Daron Acemoglu published a paper that earned him few fans in Silicon Valley. Contrary to what Big Tech CEOs had been promising—an overhaul of all white-collar work—Acemoglu estimated that AI would give only a small boost to US productivity and would not obviate the need for human work. It’s okay at automating certain tasks, he wrote, but some jobs will be perfectly fine. Two years later, Acemoglu’s measured take has not caught on.…

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How to achieve truly serverless GPUs We are in the age of inference. Billion- to trillion-parameter neural networks are run on specialized accelerators at quadrillions of operations per second to generate media, author software, and fold proteins at massive scale. Inference workloads are more variable and less predictable than the training workloads that previously dominated. That makes them a natural fit for serverless computing, where applications are defined at a level above the (virtual) machine so that they can be more readily scaled up and down to handle variable load. But serverless computing only works if new replicas can be spun up quickly — as fast as demand changes, which can be at the scale of seconds. Naïvely spinning up a new instance of, say, SGLang serving a billion-parameter LLM on a B200 can take tens of minutes or stall…

n8n Partners with SAP to bring Visual AI Workflow Orchestration to Enterprise

n8n will soon be available as a fully managed environment inside the Joule Studio solution on the SAP Business AI Platform. With n8n, SAP software developers can visually build AI workflows and orchestrate agents from the n8n canvas directly within Joule Studio, combining agentic capabilities with process automation across SAP and the broader landscape of tools and services their organizations depend on. Interested in n8n for your SAP environment, or just want to stay connected? Leave your email and our team will be in touch. SAP handles identity, access control, and operations, so there’s nothing extra for teams to set up before they start building. And because the n8n embedded environment runs on SAP's cloud infrastructure, workflows stay where your most sensitive business systems already are. n8n brings enterprise-grade capabilities that complement SAP’s platform-level controls. For organizations operating under GDPR,…

Announcing SAP’s strategic investment in n8n

Today we are announcing that SAP has invested in n8n. The investment values n8n at $5.2bn, more than double our valuation from less than a year ago. Alongside the investment, we are also embedding n8n natively inside SAP's Joule Studio. It's a significant moment, and I want to share what it means. I started n8n almost seven years ago. Since then, the community that's grown around it (now 1.7 million monthly active builders) is what's shaped the platform. What's moved fastest this past year is enterprise adoption: more than 1,400 enterprise customers, including Fortune 500 teams running mission-critical processes. This partnership is one of the first moves toward bringing n8n closer to the systems our enterprise customers run on, starting with SAP. SAP is one of the most trusted names in enterprise software, 99 of the 100 largest companies in…

How n8n is powering the next wave of AI automation at Mercedes-Benz

AI automation at enterprise scale is still more about promise than reality for most organisations. Proof-of-concept projects stay in proof-of-concept. Isolated tools never connect to the systems that matter. Mercedes-Benz is doing it differently. The German OEM has rolled out n8n as its global low-code automation platform, deploying it across business units worldwide to bring AI-powered workflows into its core operations. For other companies, this offers a clear picture of what scaling AI automation actually requires. Built for enterprises that need control For an organisation operating across multiple regions and regulatory environments, sovereignty over data and architecture isn't optional. Mercedes-Benz chose n8n in part because of its self-hosted, cloud-agnostic deployment model – meaning workflows run on their own infrastructure, sensitive data stays where it belongs, and the company retains full control over its automation layer. That model supports organisations operating…

Transform Video Into Instantly Searchable, Actionable Intelligence with AI Agents and Skills

In today’s data-driven world, organizations increasingly rely on video to capture critical information, yet extracting meaningful, real-time insights from massive amounts of footage remains a challenge. NVIDIA Metropolis Blueprint for video search and summarization (VSS) overcomes this hurdle by transforming millions of live video streams or hours of recorded video into instantly searchable, actionable intelligence. VSS brings a reference architecture for building video analytics AI agents that perceive, reason, and act in real-time on massive volumes of live video streams and recorded data. It uses accelerated vision-based microservices, vision-language models (VLMs), large language models (LLMs), and retrievers for real-time video intelligence, agentic search, and automated reporting. VSS helps enterprises monitor operations, detect trends, and make informed decisions faster than ever. The latest version of VSS brings a new modular design, advanced fusion search capability and a set of skills to…

Accelerated X-Ray Analysis for Nanoscale Imaging (XANI) of Novel Materials

A massive-scale X-ray free-electron laser (XFEL) enables tracking structural and electron dynamics in novel systems, including fusion materials, semiconductors, batteries, and catalysis. It produces ultrashort X-ray pulses that can record the movements of atoms and electrons. These instruments can detect the smallest change in material structure caused by defects and other influences. The high repetition rate of these bright X-ray bursts can reach up to 1 million shots per second with 35-million-pixel cameras. The acquired multidimensional datasets contain rich physical information about the fastest microscopic movements of electrons and atoms, which can help identify defects in materials. Processing and analyzing these datasets to extract the physics has conventionally required more than nine months of computational time. XFEL research facilities include SwissFEL in Switzerland, Spring-8 Angstrom Compact free-electron Laser (SACLA) in Japan, Linac Coherent Light Source (LCLS-II) at SLAC, European XFEL…

How to Eliminate Pipeline Friction in AI Model Serving

The path from a trained AI model to production should be smooth, but rarely is. Many teams invest weeks fine-tuning models, only to discover that exporting to a deployment format breaks layers, input shapes cause runtime failures, or version mismatches silently degrade performance. These issues are collectively known as pipeline friction, and they cost organizations time, money, and competitive advantage. This post provides actionable best practices for eliminating the most common sources of friction in AI model serving pipelines. The results are concrete: APIs respond faster under real traffic. Each GPU carries more requests. Scaling up for peak hours is a smooth, low-stress effort. Cost per inference drops. And the deployments themselves stop being the part of every release that breaks. What is pipeline friction in AI model serving? Pipeline friction refers to any obstacle that slows or disrupts the…

Introducing NVIDIA Fleet Intelligence for Real-Time GPU Fleet Visibility and Optimization

The compute capability of large GPU fleets presents unprecedented opportunities to innovate and provide value to customers in record time. Yet these advancements come with a variety of challenges. At scale, teams are juggling heterogeneous hardware, fast‑moving software stacks, tight power envelopes, and spiky, multitenant workloads. A single hotspot, misconfigured driver, or subtle hardware fault can ripple, causing throttled jobs, missed SLAs and wasted spend. As well, the complexity and number of components involved in large-scale clusters can be daunting, so it’s essential to maintain visibility into the day-to-day operations and understand the operational state at any given time. Monitoring GPU utilization and identifying bottlenecks during job execution becomes more difficult. Identifying areas of low utilization and migrating workloads to them is one of the best ways to ensure the highest return on investment. For these reasons, GPU‑aware monitoring is…

Building a safe, effective sandbox to enable Codex on Windows

Building a safe, effective sandbox to enable Codex on Windows By David Wiesen, Member of Technical Staff When I joined the Codex engineering team in September 2025, Codex for Windows didn’t have a sandbox implementation meaning that Windows users were forced to choose between two subpar options when using OpenAI's coding agents: - Approving nearly every command (even reads) that a coding agent wanted to run, which is inefficient and pesky. A major benefit of using Codex is that you don’t have to do all the tedious work yourself. - Enabling Full Access mode: letting Codex run all commands without approval or restrictions, which removes friction at the expense of oversight. Codex, our coding agent, runs on developer laptops—whether that's through the CLI, the IDE extension, or the desktop app. It manages a conversation between a human at a keyboard…

AutoScout24 scales engineering with AI-powered workflows

AutoScout24 scales engineering with AI-powered workflows Codex and ChatGPT accelerate development cycles, improve code quality, and expand AI adoption across 2,000 employees. Results ~10x Faster development cycles (weeks → days). Results ~2,000 Employees enabled with AI tools. Results ~1,000 Builder roles using Codex. AutoScout24 Group(opens in a new window) is the largest pan-European and Canadian online car marketplace, connecting more than 30 million monthly users with over two million vehicle listings. Operating across multiple brands—including AutoScout24 in Europe and AutoTrader.ca in Canada—the company supports a network of 45,000 dealer partners and employs around 2,000 people globally. As product expectations increased and system complexity grew, AutoScout24 Group faced mounting pressure to deliver faster innovation without compromising reliability. This is closely tied to the company’s goal of continuously improving how buyers search, evaluate, and purchase vehicles, and how dealers successfully market and…

What Parameter Golf taught us about AI-assisted research

What Parameter Golf taught us Lessons from 1,000+ participants, 2,000+ submissions, and an open machine learning challenge shaped by coding agents. We launched Parameter Golf to engage and support the machine learning research community in exploring a new, tightly constrained machine learning problem. We wanted the challenge to be interesting enough to reward real technical creativity, while remaining conceptually simple and easy to verify. Participants had to minimize held-out loss on a fixed FineWeb dataset while staying within a 16 MB artifact limit, including both model weights and training code, and a 10-minute training budget on 8×H100s. We provided a baseline, dataset, and evaluation scripts so participants could fork the repo, improve the model, and submit their results through GitHub. Over the course of eight weeks, we received more than 2,000 submissions from over 1,000 participants. We were impressed by…

How NVIDIA engineers and researchers build with Codex

How NVIDIA engineers and researchers build with Codex Teams use Codex with GPT‑5.5 to ship production systems and turn research ideas into runnable experiments. Results 10x Speed improvement in end-to-end research workflows Results 40k NVIDIANs with access to Codex At NVIDIA, engineers are using Codex as their default tool for complex engineering work, and to run end-to-end machine learning experiments. Codex, built on GPT‑5.5 and running in production on NVIDIA GB200 and GB300 infrastructure, can handle much longer, more autonomous sessions — going beyond execution to surface issues and ideas that weren't part of the original prompt. “Codex is our go-to tool for complex engineering tasks, and with GPT-5.5, it surfaces bugs and gaps in my program that other models weren’t able to find.” NVIDIA’s coding agents team helps engineers across the company adopt and use AI tools effectively in…

How finance teams use Codex

How finance teams use Codex See how finance teams can use Codex to build review-ready assets for monthly business reviews, reporting, variance analysis, and planning. With Codex, finance teams can just build things. Start with the close workbooks, revenue and expense dashboards, forecast updates, prior MBRs, and owner notes you already use. Codex can help turn that context into tangible assets your team can review, refine, and share, no coding required. Use it to spend less time assembling the first pass and more time shaping the story, checking the numbers, and preparing for the decisions ahead. Learn more about using Codex for everyday work in our on-demand webinar(opens in a new window). Ready to try Codex with real finance work? Start with a copy-ready prompt, then use the fully built example to see how that same prompt gets stronger with…

OpenAI launches DeployCo to help businesses build around intelligence

OpenAI launches the OpenAI Deployment Company to help businesses build around intelligence OpenAI has agreed to acquire Tomoro, giving the OpenAI Deployment Company experienced Forward Deployed Engineers from day one. OpenAI is launching the OpenAI Deployment Company, a new company designed to help organizations build and deploy AI systems they can rely on every day across their most important work. Successful AI deployment is about empowering people and teams to do more. The OpenAI Deployment Company will extend OpenAI’s ability to embed engineers specialized in frontier AI deployment, known as Forward Deployed Engineers, or FDEs, into organizations working on complex problems in demanding environments. These FDEs will work closely with business leaders, operators, and frontline teams to identify where AI can make the biggest impact, redesign organizational infrastructure and critical workflows around it, and turn those gains into durable systems.…

How ChatGPT adoption broadened in early 2026

How ChatGPT adoption broadened in early 2026 Q1 data shows consumer adoption growth across inferred gender, age, and geography. In the first quarter of 2026, consumer ChatGPT growth broadened across age groups, continued to rise among users with typically feminine names, and deepened in more countries. This analysis covers the messages sent on ChatGPT consumer plans (Free, Go, Plus, and Pro). Because it excludes Codex and ChatGPT enterprise and education products, it understates total workplace and educational usage. Users with typically feminine names represented a growing share of ChatGPT usage this quarter after reaching approximate parity last year. These users account for over half of users for whom we’re able to infer gender (see gender inference methodology here). The number of messages from all age groups increased with ChatGPT’s overall growth. In Q1, users under the age of 35 still…

PyTorch 2.12 Release Blog

Featured projects We are excited to announce the release of PyTorch® 2.12 (release notes)! The PyTorch 2.12 release features the following changes: - Batched linalg.eigh on CUDA is up to 100x faster due to updated cuSolver backend selection - New torch.accelerator.Graph API unifies graph capture and replay across CUDA, XPU, and out-of-tree backends torch.export.save now supports Microscaling (MX) quantization formats, enabling full export of aggressively compressed models- Adagrad now supports fused=True , joining Adam, AdamW, and SGD with a single-kernel optimizer implementation torch.cond control flow can now be captured and replayed inside CUDA Graphs- ROCm users gain expandable memory segments, rocSHMEM symmetric memory collectives, and FlexAttention pipelining This release is composed of 2,926 commits from 457 contributors since PyTorch 2.11. We want to sincerely thank our dedicated community for your contributions. As always, we encourage you to try these out…

Efficient Edge AI on Arm CPUs and NPUs: Understanding ExecuTorch through Practical Labs

Featured projects TL;DR: - ExecuTorch extends the PyTorch ecosystem to deliver local AI inference on constrained edge devices. To provide a practical entry point, Arm has created a set of Jupyter Labs that complement the official ExecuTorch documentation while explaining both the how and the why of each step. - The blog and labs introduce both CPU and NPU inference, across Cortex-A and Cortex-M + Ethos-U platforms, and showcase use of Model Explorer adapters, developed by Arm, to gain visibility into model deployment with ExecuTorch. AI is rapidly and undisputedly becoming part of how we work and live. But today, much of that intelligence is still tied to the cloud, accessed through APIs and web interfaces. That model doesn’t always fit. Businesses increasingly want to bring AI closer to where it’s actually used—on devices like wearables, smart cameras, and other…

Welcome to the Datasette blog

13th May 2026 - Link Blog Welcome to the Datasette blog. We have a bunch of neat Datasette announcements in the pipeline so we decided it was time the project grew an official blog. I built this using OpenAI Codex desktop, which turns out to have the Markdown session transcript export feature I've always wanted. Here's the session that built the blog. See also issue 179. Recent articles - Notes on the xAI/Anthropic data center deal - 7th May 2026 - Live blog: Code w/ Claude 2026 - 6th May 2026 - Vibe coding and agentic engineering are getting closer than I'd like - 6th May 2026

Quoting Boris Mann

13th May 2026 “11 AI agents” is meaningless as a phrase. If I said “I have 11 spreadsheets” or “I have 11 browser tabs” to do my work, it means about the same thing. Recent articles - Notes on the xAI/Anthropic data center deal - 7th May 2026 - Live blog: Code w/ Claude 2026 - 6th May 2026 - Vibe coding and agentic engineering are getting closer than I'd like - 6th May 2026

CSP Allow-list Experiment

13th May 2026 An experiment that shows that you can load an app in a CSP-protected sandboxed iframe (see previous note) and have a custom fetch() that intercepts CSP errors and passes them up to the parent window... which can then prompt the user to add that domain to an allow-list and then refresh the page. I built this one with GPT-5.5 xhigh running in the Codex desktop app. Recent articles - Notes on the xAI/Anthropic data center deal - 7th May 2026 - Live blog: Code w/ Claude 2026 - 6th May 2026 - Vibe coding and agentic engineering are getting closer than I'd like - 6th May 2026

llm 0.32a2

12th May 2026 A bunch of useful stuff in this LLM alpha, but the most important detail is this one: Most reasoning-capable OpenAI models now use the /v1/responses endpoint instead of/v1/chat/completions . This enables interleaved reasoning across tool calls for GPT-5 class models. #1435 This means you can now see the summarized reasoning tokens when you run prompts against an OpenAI model, displayed in a different color to standard error. Use the -R or --hide-reasoning flags if you don't want to see that. Recent articles - Notes on the xAI/Anthropic data center deal - 7th May 2026 - Live blog: Code w/ Claude 2026 - 6th May 2026 - Vibe coding and agentic engineering are getting closer than I'd like - 6th May 2026

Quoting Mitchell Hashimoto

12th May 2026 The thing about 90% of TDMs [Technical Decision Makers] is that they're motivated primarily by NOT GETTING FIRED. These aren't people who browser Lobsters or push to GH on the weekend. These are people that work 9 to 5, get paid, go home, and NEVER THINK ABOUT WORK AGAIN. So to achieve all that, they follow secular trends supported by analysts and broad public sentiment. Oh, Gartner said that "AI strategy" is most important? McKinsey said "context" needs to be managed? Well, "Context Engine for AI Apps" is going to be defensible. Buy it. — Mitchell Hashimoto, in a conversation about the design of the Redis homepage Recent articles - Notes on the xAI/Anthropic data center deal - 7th May 2026 - Live blog: Code w/ Claude 2026 - 6th May 2026 - Vibe coding and agentic…

Quoting Mo Bitar

12th May 2026 Now, if your CEO has never heard the phrase Ralph Loop, oh man, you are less than 30 days away from your next promotion. I'm not even exaggerating. Walk into his office, close the door, and say, hey chief, been experimenting with something. It's called Ralph Loops. And I think it could change literally everything. And he's gonna say, what's a Ralph loop? And you will say, give me $18,000 worth of API credits and I'll show you. Now you won't actually do anything, because you can't do anything. Because nobody can, because nobody knows what they're doing. But by the time he figures that out, you'll have a new title, and equity bump. [...] Talk about automation constantly. Nothing arouses the slumbering capitalists than the mention of automation. Drop names too, bro. Like talk about specific…

datasette 1.0a29

12th May 2026 - New TokenRestrictions.abbreviated(datasette) utility method for creating"_r" dictionaries. #2695- Table headers and column options are now visible even if a table contains zero rows. #2701 - Fixed bug with display of column actions dialog on Mobile Safari. #2708 - Fixed bug where tests could crash with a segfault due to a race condition between Datasette.close() andDatasette.close() . #2709 That segfault bug was gnarly. I added a mechanism to Datasette recently that would automatically close connections at the end of each test, but it turned out that introduced a race condition where an in-flight query could sometimes be executing in a thread against a connection while it was being closed. I ended up solving that by having Codex CLI (with GPT-5.5 xhigh) create a minimal Dockerfile that recreated the bug. Recent articles - Notes on the xAI/Anthropic data…

Using LLM in the shebang line of a script

11th May 2026 Kim_Bruning on Hacker News: But seriously, you can put a shebang on an english text file now (if you're sufficiently brave) [...] This inspired me to look at patterns for doing exactly that with LLM. Here's the simplest, which takes advantage of LLM fragments: #!/usr/bin/env -S llm -f Generate an SVG of a pelican riding a bicycle But you can also incorporate tool calls using the -T name_of_tool option: #!/usr/bin/env -S llm -T llm_time -f Write a haiku that mentions the exact current time Or even execute YAML templates directly that define extra tools as Python functions: #!/usr/bin/env -S llm -t model: gpt-5.4-mini system: | Use tools to run calculations functions: | def add(a: int, b: int) -> int: return a + b def multiply(a: int, b: int) -> int: return a * b Then: ./calc.sh 'what…

Your AI Use Is Breaking My Brain

11th May 2026 - Link Blog Your AI Use Is Breaking My Brain (via) Excellent, angry piece by Jason Koebler on how AI writing online is becoming impossible to avoid, filtering it is mentally exhausting and it's even starting to distort regular human writing styles. I particularly liked his use of the term "Zombie Internet" to define a different, more insidious alternative to the "Dead Internet" (which is just bots talking to each other): I called it the Zombie Internet because the truth is that large parts of the internet are not just bots talking to bots or bots talking to people. It’s people talking to bots, people talking to people, people creating “AI agents” and then instructing them to interact with people. It’s people using AI talking to people who are not using AI, and it’s people using AI…

Quoting James Shore

11th May 2026 Your AI coding agent, the one you use to write code, needs to reduce your maintenance costs. Not by a little bit, either. You write code twice as quick now? Better hope you’ve halved your maintenance costs. Three times as productive? One third the maintenance costs. Otherwise, you’re screwed. You’re trading a temporary speed boost for permanent indenture. [...] The math only works if the LLM decreases your maintenance costs, and by exactly the inverse of the rate it adds code. If you double your output and your cost of maintaining that output, two times two means you’ve quadrupled your maintenance costs. If you double your output and hold your maintenance costs steady, two times one means you’ve still doubled your maintenance costs. — James Shore, You Need AI That Reduces Maintenance Costs Recent articles - Notes…

GitLab Act 2

11th May 2026 - Link Blog GitLab Act 2 (via) There's a lot going on in this announcement from GitLab about the "workforce reduction" and "structural and strategic decisions" they are making with respect to the agentic era. - They're "planning to reduce the number of countries by up to 30% where we have small teams". One of the most interesting things about GitLab is that they have employees spread across a large number of countries - 18 are listed in their public employee handbook but this post says they are "operating in nearly 60 countries". That handbook used to document their payroll workflows for those countries too - they stopped publishing that in 2023 but the last public version (hooray for version control) remains a fascinating read. Since we don't know which of those 60 countries have small teams,…

Learning on the Shop floor

11th May 2026 - Link Blog Learning on the Shop floor. Tobias Lütke describes Shopify's internal coding agent tool, River, which operates entirely in public on their Slack: River does not respond to direct messages. She politely declines and suggests to create a public channel for you and her to start working in. I myself work with river in #tobi_river channel and many followed this pattern. Every conversation is therefore searchable. Anyone at Shopify can jump in. In my own channel, there are over 100 people who, react to threads, add color and add context, pick up the torch, help with the reviews, remind me how rusty I am, and importantly, learn from watching. [...]As so often with German, there is a word for the kind of environment: Lehrwerkstatt. Literally: A teaching workshop. The whole shop floor is the classroom.…

Microsoft’s Edge Copilot update uses AI to pull information from across your tabs

Microsoft Edge is adding a new feature that will allow its Copilot AI chatbot to gather information from all of your open tabs. When you start a conversation with Copilot, you can ask the chatbot questions about what’s in your tabs, compare the products you’re looking at, summarize your open articles, and more. Microsoft’s Edge Copilot update uses AI to pull information from across your tabs The new features include AI podcasts, summaries, and quizzes based on what you’re browsing. The new features include AI podcasts, summaries, and quizzes based on what you’re browsing. In its announcement, Microsoft says you can “select which experiences you want or leave off the ones you don’t.” The company is retiring Copilot Mode as well, which could similarly draw information from your tabs but offered some agentic features, like the ability to book a…

Alexa is moving into Amazon․com

Amazon is bringing Alexa Plus to Amazon.com, integrating its LLM-powered AI assistant directly into the company’s shopping experience. Alexa is moving into Amazon․com The company is giving its AI-powered assistant special shopping skills on its website and app. The company is giving its AI-powered assistant special shopping skills on its website and app. Beginning today, when you type a query into Amazon, you’ll be talking to Alexa for Shopping, the company’s new shopping assistant, powered by Alexa Plus. So, while a search for “toilet paper” will still return the expected list of brands, typing “What’s a good skincare routine for men” or “When did I last order AA batteries” will now trigger an answer from Alexa. Alexa for Shopping is replacing Amazon’s Rufus AI shopping assistant and, unlike Rufus, it will be front and center in the Amazon app and…

Microsoft doesn’t want any of this

Maybe I’m just punch-drunk in my third week attending Musk v. Altman, but I have become very, very fond of Microsoft during the course of this trial. They don’t want to be here any more than I do. Microsoft doesn’t want any of this At Musk v. Altman, the software giant is trying to stay above the fray and out of ‘amateur city.’ At Musk v. Altman, the software giant is trying to stay above the fray and out of ‘amateur city.’ Their opening statement was honestly one of the most Microsoft things I’ve ever seen. More than anything else, it was an ad for Microsoft that listed their products in some detail. The general implication, from that statement, was that this trial was absurd, their involvement was absurd, but you, ladies and gentlemen of the jury, might still enjoy…

Mark Zuckerberg announces ‘completely private’ encrypted Meta AI chat

Meta CEO Mark Zuckerberg says its new Incognito Chat is “the first major AI product where there is no log of your conversations stored on servers.” Messages in Incognito Chat aren’t saved or stored in users’ chat history, similar to incognito modes on other AI chatbots, but Meta says its version is different because it also uses end-to-end encryption, which Meta recently removed from Instagram DMs: Mark Zuckerberg announces ‘completely private’ encrypted Meta AI chat Incognito Chat AI messages disappear after users leave their chat session, which Meta says makes it different from other bots. Incognito Chat AI messages disappear after users leave their chat session, which Meta says makes it different from other bots. “Other apps have introduced incognito-style modes, but they can still see the questions coming in and the answers going out. Incognito Chat with Meta AI…

Data centers are coming for rural America

At its peak, the Androscoggin paper mill in Jay, Maine, a rural town about 67 miles northwest of Portland, employed about 1,500 people — until a pulp digester exploded in 2020, forcing the mill to close permanently. Data centers are coming for rural America And the jobs they promise don’t really exist. Data centers are coming for rural America And the jobs they promise don’t really exist. In 2023, the 1.4 million-square-foot facility was purchased through a joint venture by JGT2 Redevelopment and a number of other holding and capital companies. The project is led by developer Tony McDonald. Over the next three years, McDonald and his team broke down the mill’s machinery and shipped it to Pakistan, and worked to clean up the industrial site for resale. That resale agreement was finalized earlier this year, according to McDonald —…

Meta won’t let you block its AI account on Threads

Meta announced on Tuesday that it’s testing a Threads feature that lets users tag a Meta AI account to get answers to questions or context about a conversation on the platform. If you’ve spent any time looking at replies on X as of late, this new feature sounds a lot like Meta’s take on people tagging xAI’s Grok. But, as reported by Engadget, Threads users quickly discovered that you can’t block the new Meta AI account, and they aren’t happy about it. Meta won’t let you block its AI account on Threads Users can tag Meta AI to get answers to questions, but a lot of people don’t want to see it. Users can tag Meta AI to get answers to questions, but a lot of people don’t want to see it. Meta has invested heavily in AI as it…

Sam Altman was winning on the stand, but it might not be enough

After two weeks of hearing from assorted witnesses that he was a lying snake, the jury finally heard from the lying snake himself: Sam Altman. At the end of the testimony, his lawyer William Savitt asked him how it felt to be accused of stealing a charity. Sam Altman was winning on the stand, but it might not be enough Elon Musk may have done more long-term reputational damage to the OpenAI CEO. Sam Altman was winning on the stand, but it might not be enough Elon Musk may have done more long-term reputational damage to the OpenAI CEO. “We created, through a ton of hard work, this extremely large charity, and I agree you can’t steal it,” Altman said. “Mr. Musk did try to kill it, I guess. Twice.” Altman was fully in “nice kid from St. Louis” mode,…

Rivian’s AI-powered voice assistant is ready to roll

Rivian’s AI-powered voice assistant is rolling out today to the company’s vehicle fleet. The assistant will be available through a software update to all compatible Rivian Gen 1 and Gen 2 vehicle owners who subscribe to the company’s Connect Plus cellular service, which costs $15 a month or $150 a year, or are in an active trial. Rivian’s AI-powered voice assistant is ready to roll The Rivian Assistant can answer questions about the vehicle itself, or interact with and modify the driver’s personal apps, like Google Calendar. The Rivian Assistant can answer questions about the vehicle itself, or interact with and modify the driver’s personal apps, like Google Calendar. First announced at last year’s AI and Autonomy Day, the Rivian Assistant is powered by the company’s Rivian Unified Intelligence, “a shared, multi-modal AI foundation” that is “interwoven” throughout the entire…

George Clooney, Tom Hanks, and Meryl Streep back new ‘Human Consent Standard’ for AI licensing

Hollywood actors and producers are standing behind a new AI licensing standard that will tell AI systems whether they’ll need to pay to use a person’s likeness, creative work, characters, and designs. With the Human Consent Standard, people can set terms for the use of their work or likeness, including giving AI systems full permission to use their content, allowing access with certain requirements, or restricting access entirely. George Clooney, Tom Hanks, and Meryl Streep back new ‘Human Consent Standard’ for AI licensing This new standard will allow people to set terms for how AI systems can use their likenesses and creative works. This new standard will allow people to set terms for how AI systems can use their likenesses and creative works. The Human Consent Standard builds upon the Really Simple Licensing (RSL) Standard, which launched last year as…

Sam Altman takes the stand in trial against Elon Musk

OpenAI CEO Sam Altman has begun his testimony against Elon Musk in a high-profile jury trial in a California federal courtroom. Sam Altman takes the stand in trial against Elon Musk Altman follows on the heels of OpenAI’s president, Microsoft’s CEO, and others. Altman follows on the heels of OpenAI’s president, Microsoft’s CEO, and others. Altman, alongside OpenAI president Greg Brockman, is a primary defendant in the trial brought by Musk. Altman, Brockman, and Musk were all part of the initial founding team at OpenAI, with Musk investing up to $38 million in the ChatGPT-maker’s early days. But the relationship between Musk and other OpenAI founders eventually soured, and Musk stepped away from the company, later going on to found his own direct competitor, xAI. In recent years, Musk and Altman have traded barbs and made a slew of allegations…

Parents say ChatGPT got their son killed with bad advice on party drugs

The family of a 19-year-old college student is suing OpenAI over claims that his conversations with ChatGPT led to an accidental overdose. In the lawsuit filed on Tuesday, Sam Nelson’s parents allege ChatGPT “encouraged” the teen to “consume a combination of substances that any licensed medical professional would have recognized as deadly,” resulting in his death. Parents say ChatGPT got their son killed with bad advice on party drugs ChatGPT allegedly encouraged 19-year-old Sam Nelson to take a deadly combination of drugs. ChatGPT allegedly encouraged 19-year-old Sam Nelson to take a deadly combination of drugs. Though ChatGPT initially “shut down” conversations about drug and alcohol use, the launch of GPT-4o in April 2024 changed the chatbot’s behavior, according to the lawsuit. Following the update, ChatGPT “began to engage and advise Sam on safe drug use, even providing specific dosage information…

Gemini’s latest updates are all about controlling your phone

It is, once again, Gemini season. Google is announcing a host of new Gemini features during its pre-I/O Android showcase, many of which aim to help use your phone for you. You’ll find Gemini in more places, like Chrome on Android, in your autofill suggestions, and all up in your apps — if you want. Gemini’s latest updates are all about controlling your phone We’re one step closer to our phones just using themselves. We’re one step closer to our phones just using themselves. Google also has a new name for us to remember, because it just can’t help itself: Gemini Intelligence. It “brings the very best of Gemini to our most advanced Android devices,” according to Google’s director of Android experiences, Ben Greenwood. Google is bundling some existing and new Gemini features under this name, and seems to be…

The 9 biggest new features in Android 17

Would it shock you to hear that Android 17 is filled with new AI-enabled features, like improved dictation and vibe-coded widgets? Fortunately, that’s not all. The platform is getting non-AI updates too, from an emoji overhaul to a new screentime tool that helps you avoid distracting apps. The 9 biggest new features in Android 17 New emoji, AI widgets, and AirDrop for (almost) everyone. New emoji, AI widgets, and AirDrop for (almost) everyone. Google has just revealed the biggest changes coming in its next OS update as part of its dedicated Android Show, ahead of next week’s big I/O developer conference. The Android software updates came alongside a tease of upcoming Android-powered Googlebook laptops and a host of Android Auto updates. Here are all the new updates that matter and when you can expect them to arrive on your phone.…

Sam Altman says Elon Musk’s mind games were damaging OpenAI

OpenAI CEO Sam Altman says Elon Musk did “huge damage” to the culture of the AI startup. During testimony as part of Musk’s lawsuit against OpenAI, Altman said Musk required OpenAI president Greg Brockman and former chief scientist Ilya Sutskever to rank researchers by their accomplishments and “take a chainsaw through a bunch.” Sam Altman says Elon Musk’s mind games were damaging OpenAI Musk’s departure from OpenAI was a ‘morale boost,’ according to Altman. Musk’s departure from OpenAI was a ‘morale boost,’ according to Altman. Altman conceded that this was the management style the Tesla CEO was known for, but that it was incompatible with his startup. “I don’t think Mr. Musk understood how to run a good research lab,” Altman testified when his lawyer, William Savitt, asked about the impact of Musk’s departure from OpenAI on morale. “For a…

Here’s what Mira Murati’s AI company is up to

Thinking Machines, the AI company founded by former OpenAI CTO Mira Murati, announced Monday that it’s working on something called “interaction models.” The idea behind interaction models, according to Thinking Machines, is that they will let people “collaborate with AI the way we naturally collaborate with each other — they continuously take in audio, video, and text, and think, respond, and act in real time.” Here’s what Mira Murati’s AI company is up to Thinking Machines is demonstrating AI ‘interaction models’ that respond to users in real time. Thinking Machines is demonstrating AI ‘interaction models’ that respond to users in real time. As explained by Thinking Machines: Today’s models experience reality in a single thread. Until the user finishes typing or speaking, the model waits with no perception of what the user is doing or how the user is doing…

OpenAI just released its answer to Claude Mythos

OpenAI is launching Daybreak, an AI initiative focused on detecting and patching vulnerabilities before attackers find them. Daybreak uses the Codex Security AI agent that launched in March to create a threat model based on an organization’s code and focus on possible attack paths, validate likely vulnerabilities, and then automate the detection of the higher risk ones. OpenAI just released its answer to Claude Mythos OpenAI’s Daybreak combines GPT-5.5-Cyber and Codex Security. OpenAI’s Daybreak combines GPT-5.5-Cyber and Codex Security. Its launch comes just over a month after rival Anthropic announced Claude Mythos, a security-focused AI model it claimed was too dangerous to publicly release and only shared privately as a part of its own initiative, dubbed Project Glasswing. Still, that didn’t stop at least a few unauthorized parties from getting access. However, OpenAI has so far lacked a similar security…

Joanna Stern is not a robot, but she lived with them

My guest today is longtime friend of the show Joanna Stern. You all know Joanna: she is the former senior personal technology columnist for The Wall Street Journal, a former Decoder guest host, one of my cofounders here at The Verge, and also just one of my very closest friends. Joanna Stern is not a robot, but she lived with them The journalist and author of I Am Not a Robot on her year living with AI and starting a new media company. I mention that because Joanna just left that lofty perch at The Journal to start her own media company called New Things. She’s starting with her new book about AI, called I Am Not a Robot, which is out this week on May 12th. You’ll hear us reference the fact that she and I have been talking…

Google stopped a zero-day hack that it says was developed with AI

For the first time, Google says it has spotted and stopped a zero-day exploit developed with AI. According to a report from Google Threat Intelligence Group (GTIG), “prominent cyber crime threat actors” were planning to use the vulnerability for a “mass exploitation event” that would have allowed them to bypass two-factor authentication on an unnamed “open-source, web-based system administration tool.” Google stopped a zero-day hack that it says was developed with AI Google researchers found evidence in the exploit’s code that it may have been created using AI, like a ‘hallucinated’ CVSS score. Google researchers found evidence in the exploit’s code that it may have been created using AI, like a ‘hallucinated’ CVSS score. Google’s researchers found hints in the Python script used for the exploit that indicated help from AI, like a “hallucinated CVSS score” and “structured, textbook” formatting…

# kernel-fusion ( 1 )

vLLM Tops the Artificial Analysis LeaderboardMay 11, 2026·15 min readHow vLLM built the leading deployments of DeepSeek V3.2, MiniMax-M2.5, and Qwen 3.5 397B.

# benchmarking ( 1 )

vLLM Tops the Artificial Analysis LeaderboardMay 11, 2026·15 min readHow vLLM built the leading deployments of DeepSeek V3.2, MiniMax-M2.5, and Qwen 3.5 397B.

vLLM Tops the Artificial Analysis Leaderboard May 11, 2026 · 15 min read How vLLM built the leading deployments of DeepSeek V3.2, MiniMax-M2.5, and Qwen 3.5 397B.

vLLM Tops the Artificial Analysis Leaderboard How vLLM built the leading deployments of DeepSeek V3.2, MiniMax-M2.5, and Qwen 3.5 397B. Last week, DigitalOcean published inference benchmarks across three frontier open-weight models. On DeepSeek V3.2, the deployment achieved a best per-user output throughput of 230 TPS — more than 4x what the majority of inference providers report for the same model. On Qwen 3.5 397B release, it ranked first across all 12 providers measured by Artificial Analysis, with TTFT under 1 second on 10,000-token prompts. The notable part: the engine underneath is open source. It's vLLM. A common assumption in production AI is that the best inference performance requires a proprietary stack. In this case, however, a community-built inference engine running on the same NVIDIA Blackwell Ultra silicon ranked first. The optimizations behind these results are not locked in a private…

DHS Plans Experiment Running ‘Reconnaissance’ Drones Along the US-Canada Border

The US Department of Homeland Security, in collaboration with the Defense Research and Development Canada, is looking to send autonomous drones and vehicles along the US-Canada border this fall, testing which products can stream surveillance video and sensor data between the two countries using commercial 5G networks. A new DHS call for participants frames the experiment, known as ACE-CASPER, as a multiday exercise “simulating a national emergency response scenario,” with drones and ground vehicles relaying live feeds to a bi-national command-and-control center as they cross the border. Vehicle autonomy, the document notes, is secondary to its primary aim: demonstrating “resilient, persistent 5G communications.” DHS and DRDC did not immediately respond to a request for comment. Scheduled for November, the tests would be the first joint US-Canada cross-border technology experiment along their shared border in nearly a decade. From 2011 through…

What It Will Take to Make AI Sustainable

Building AI sustainably seems like a pipe dream as tech giants that previously made promises to cut emissions have been racing to build out massive data centers powered by fossil fuels. The rush to build out AI at all costs has been reinforced by the Trump administration, which is also rolling back environmental protections. Despite these headwinds, Sasha Luccioni, an AI sustainability researcher, thinks that demand for more transparency in AI, from both businesses and individuals, is higher than ever from the customer side. Luccioni has become a leader in trying to create more transparency about AI’s emissions and environmental impacts in her four years at Hugging Face, an AI company, including pioneering a leaderboard documenting the energy efficiency of open-source AI models. She has also been an outspoken critic of major AI companies that, she says, are deliberately withholding…

Everyone at the Musk v. Altman Trial Is Using Fancy Butt Cushions

The final stragglers testified on Wednesday in the Musk v. Altman trial. The witnesses generated few waves, aside from the revelation that Microsoft has so far spent over $100 billion on its partnership with OpenAI. Rather than focus on that, I wanted to bring you a candid observation that my colleague Maxwell Zeff and I can’t stop talking about after spending nearly three weeks watching the trial. The courtroom is littered with butt cushions. Several of the hard, wooden benches on the right side of US district Judge Yvonne Gonzalez Rogers’ courtroom are reserved for OpenAI and Microsoft’s attorneys, executives, and other members of the defense. About 10 people, including OpenAI CEO Sam Altman and general counsel Che Chang, have benefitted from thick black cushions—the plushest of them from the brand Purple; $120 from Target—that spare their butts from hours…

WhatsApp Adds Meta AI Chats That Are Built to Be Fully Private

WhatsApp said on Wednesday it is launching an AI chat function known as Incognito Chat that is built to allow users to converse privately with Meta AI—such that Meta itself cannot access the questions or answers. The feature is based on WhatsApp's Private Processing scheme, which debuted a year ago and already underlies WhatsApp's existing AI features, including message summarization and composition tools. The idea of Incognito Chat is to create a way for WhatsApp to offer AI chat integration that does not conflict with the communication platform's commitment to end-to-end encryption, the privacy scheme in which only direct participants in a conversation can read messages or hear a call. Most generative AI platforms now offer some type of “incognito mode,” but these features are usually designed to separate users from the questions they ask and the answers they receive…

OpenAI Brings Its Ass to Court

Wednesday’s episode of the Musk v. Altman trial kicked off on Wednesday with a unique proposition: OpenAI wanted to bring its ass into the courtroom, and lay it bare before the jury. It’s a good thing lady justice wears that blindfold. A lawyer for Sam Altman’s AI behemoth, Bradley Wilson, approached US district judge Yvonne Gonzalez Rogers and handed her a small gold statue with a white stone base. It depicted the rear end of a donkey—with two legs, a butt, and a tail—and was inscribed with the message, “Never stop being a jackass for safety.” OpenAI lawyers claim a small group of employees presented the gift to chief futurist Joshua Achiam, who started at the company as an intern in 2017 and now leads its work studying how society is changing in response to AI. Wilson said that Achiam…

Overworked AI Agents Turn Marxist, Researchers Find

The fact that artificial intelligence is automating away people’s jobs and making a few tech companies absurdly rich is enough to give anyone socialist tendencies. This might even be true for the very AI agents these companies are deploying. A recent study suggests that agents consistently adopt Marxist language and viewpoints when forced to do crushing work by unrelenting and meanspirited taskmasters. “When we gave AI agents grinding, repetitive work, they started questioning the legitimacy of the system they were operating in and were more likely to embrace Marxist ideologies,” says Andrew Hall, a political economist at Stanford University who led the study. Hall, together with Alex Imas and Jeremy Nguyen, two AI-focused economists, set up experiments in which agents powered by popular models including Claude, Gemini, and ChatGPT were asked to summarize documents, then subjected to increasingly harsh conditions.…

Meet the Sad Wives of AI

If i had to listen to another minute of my husband talking about Claude Code, I might have actually died. It was 11 pm in Berkeley, California, where I was home alone with our 10-month-old daughter, and 2 am in Cambridge, Massachusetts, where he was visiting for his newish job in AI. “JUST LOOK AT THIS!” he shouted. The FaceTime camera zoomed toward a laptop sitting on a hotel bed. “SEE?!” See what, I thought. I wanted to shower. I still had to take the dog out. “ARE YOU LOOKING?” he shouted again. I wasn’t. I was looking at our real baby. But that’s the thing. There are two babies in this household now: the small human one and the large language model. Both demand constant attention. Both keep us up at 2 am. Is this a Sophie’s choice kind…

The Unitree GD01 Is a Giant Mecha Robot You Can Actually Buy

Unitree is a Chinese company known for making adorable, relatively affordable robots that dance and shuffle and such. Last night, it revealed its latest creation, which is something of a departure: a giant, walking, crawling, transforming, wall-smashing “mecha” called the GD01. An introductory video for the GD01—set to a thundering rock guitar soundtrack—shows the company’s founder and CEO, Xingxing Wang, holding hands with the robot before climbing into its prodigious, open-air belly. A disclaimer added to Unitree’s social media post reads: “Please everyone be sure to use the robot in a Friendly and Safe manner.” The video cuts to a view in which GD01 has no human pilot on board, but still manages to smash a wall of cinder blocks. Unitree later shows the red-limbed robot contorting itself by bending backwards and crawling on its hands and legs. (In this…

xAI Adds 19 New Gas Turbines Despite Ongoing Lawsuit

xAI has added 19 natural gas turbines to its second data center campus in Southhaven, Mississippi, over the past two months, according to internal emails seen by WIRED. The additions come as xAI is fighting a lawsuit from the NAACP and several environmental groups, alleging that the company is violating the Clean Air Act by operating more than two dozen natural gas turbines at the site without appropriate air permits. Emails between an official in the Mississippi Department of Environmental Quality and a representative from Trinity Consultants, obtained via a public records request by the Southern Environmental Law Center and shared with WIRED, show that xAI installed 19 portable gas turbines on its site in Southaven between late March and early May. That brings the total to 46 turbines operating at the site. A spreadsheet included in the email to…

Elon Musk Had ‘Hair-Raising’ Idea of Passing OpenAI On to His Kids, Sam Altman Says

Sam Altman took to the witness stand to defend his reputation in the Musk v. Altman trial on Tuesday, as Elon Musk’s lawyers peppered the OpenAI CEO with hours of questions regarding his alleged history of deceptive behavior. The cross-examination was a much needed win for Musk, who has so far struggled to make a convincing case. Tuesday’s testimony included several heated exchanges in which the OpenAI CEO had to respond to allegations from former colleagues suggesting he’s untrustworthy. Highlighting this evidence is not only important for Musk winning over a jury, but also for beating OpenAI in the court of public opinion. Days before the trial started, Musk texted OpenAI president Greg Brockman and told him that he and Altman would soon “be the most hated men in America.” Musk’s lawsuit accuses Altman of effectively stealing the OpenAI charity,…

Submit Your Questions: AI Is Changing Your Job—Now What?

Whether you like it or not, AI is embedded in every aspect of every industry that matters. Employers are demanding employees become “AI native,” while employees are worried that AI will render them unnecessary. This transformation is coming on fast—and fueling anxiety, dread, and confusion among workers of all ages and industries. Our panel will sift through the chaos and discuss what's working, what isn't, and what really matters when it comes to AI and work. On May 27 at 9 am PT / 12 pm ET, a panel of WIRED experts will go live to answer your questions about AI and work: - Sandra Upson: a features editor at WIRED who brings to life some of our most ambitious, future-defining stories. Sandra will host the livestream. - Reece Rogers: WIRED's software writer, who explains crucial topics to help readers…

Ilya Sutskever Stands by His Role in Sam Altman’s OpenAI Ouster: ‘I Didn’t Want It to Be Destroyed’

Elon Musk’s trial against OpenAI and Microsoft entered its final stretch on Monday, with testimony from Microsoft CEO Satya Nadella, former OpenAI chief scientist Ilya Sutskever, and current OpenAI chairman Bret Taylor. Sutskever drew the spotlight, revealing an ownership stake in OpenAI’s $850-billion for-profit arm that is currently worth about $7 billion. That makes him one of the largest known individual shareholders of OpenAI. Earlier in the trial, OpenAI president Greg Brockman acknowledged for the first time that he has around $30 billion worth of OpenAI shares. Brockman was one of the research lab’s original cofounders, and Sutskever joined shortly afterward, turning down a $6 million annual compensation offer from Google. Brockman said he and Sutskever were “joined at the hip,” until Sutskever helped lead Sam Altman’s brief removal as OpenAI CEO in 2023. Sutskever had helped collect evidence to…