OpenAI plans to ship 100 million AI 'companions' that will be capable of being fully aware of users' surroundings and lives. The company aims to create a third core device for people to use on a desk after a computer and mobile device. The device will be unobtrusive and be able to rest in one's pocket or desk. It won't be a phone - one of the design goals is to help wean users from screens.
Anthropic has launched Claude 4, a new group of artificial intelligence models. The company claims that Claude Opus 4 and Claude Sonnet 4 define a new standard when it comes to AI agents. The models can analyze thousands of data sources, execute long-running tasks, write human-quality content, and perform complex actions. Both models can search the web to complete tasks and alternate between reasoning and tool use.
High NA, which stands for high numerical aperture, is the world's most advanced and expensive chipmaking machine. Costing more than $400 million, the machine took ASML nearly a decade to develop. It is made up of four modules that are manufactured around the world and assembled in the Netherlands. Only five of the colossal machines have ever been shipped. This article takes a look at High NA, how ASML plans to deploy the technology, the benefits that High NA provides, how the technology works, the effects that China, tariffs, and US growth will have on the technology, and more. A link to a video showing High NA in action is available at the end of the article.
The Tor Alva, the world's tallest 3D-printed building, has been completed in Switzerland. The structure, which the creators liken to an 'ornate layered cake', sits at an impressive height of 30 meters. It is located in a village that's currently home to just 11 people. The building took around 900 hours of printing to complete using two construction robots: a 3D printer and a machine used to add steel reinforcement. Pictures of Tor Alva are available in the article.
The world's biggest event for AI builders is in SF from June 3-5. Speakers include leaders from OpenAI, DeepMind, Anthropic, and more, click here to get 30% off your ticket [10].
Anthropic has announced four new capabilities on its API that enable developers to build more powerful AI agents. The code execution tool, MCP connector, Files API, and ability to cache prompts for up to an hour will enable developers to build agents that execute code for advanced data analysis, connect to external systems through MCP servers, store and access files efficiently across sessions, and maintain context for up to 60 minutes without building custom infrastructure. All of the features are now available in public beta on the Anthropic API.
Stripe did an average of 1,145 pull requests per day in 2024 while having less than a minute of API unreliability for the entire year. The company is likely in the top 1% in software delivery performance. It has a very demanding but advanced engineering culture with a relentless focus on continuously shipping value for users. Shipping safely at this velocity and scale implies heavy investment in automated tests, deployments, rollbacks, observability, code ownership, and other areas.
While everyone seems to want to replace software engineers, AI just isn't there yet. Not everyone can just dive into a problem with little context and get started - it takes time to understand the problem and ask relevant questions to determine requirements. There is value in being able to say 'I don't know how to do this', but this is less and less likely to happen now that people are falling back to AI for answers when all else fails. People learn by doing something hard - struggle is part of improvement.
Meta's managers have been instructed to rank more employees as 'below expectations' in performance ratings. This could set the stage for more performance-based cuts. The review process is set to begin on June 16. Conversations between managers and employees on performance are scheduled for between July and August.
According to Apple supply chain analyst Ming-Chi Kuo, the device OpenAI is working on with Apple's former design chief Jony Ive will be slightly larger than Humane's discontinued AI Pin but as compact and elegant as an iPod Shuffle.
The distance between teams that maximize AI coding assistants and those that merely dabble is growing every sprint. DX's guide to AI-assisted engineering [4] can help you and your teams close the gap.
OpenAI is acquiring Jony Ive's startup, io, in an all-equity deal that values the startup at $6.5 billion. Ive and his design firm, LoveFrom, which will continue to operate independently, will now lead creative and design work at OpenAI. He could help OpenAI directly compete with Apple in the consumer hardware space - Apple has struggled to develop AI features that keep up with the latest technology. io's staff of around 55 engineers, scientists, researchers, physicists, and product development specialists will join OpenAI. They will be tasked with developing AI-powered consumer devices and other projects.
The Tesla Optimus team's latest video demonstration shows the humanoid robot performing a variety of tasks, including household using a broom and vacuum cleaner, tearing a paper towel, stirring a pot of food, opening a cabinet, closing a curtain, and picking up a Model X fore link and placing it on a dolly. The robot completed all these tasks through a single neural network. It learned its actions using data from first-person videos of humans performing similar tasks. The system could pave the way for Optimus to learn and refine new skills quickly and reliably. The video is available in the article.
Ryan Williams, a theoretical computer scientist at the Massachusetts Institute of Technology, recently posted a proof online on the relationship between time and memory in computing. The proof, which showed that memory was more powerful than computer scientists had previously believed, established a mathematical procedure for transforming any algorithm, no matter what it does, into a form that uses much less space. It also implies there are calculations that can't be computed in certain amounts of time, offering a new way to attack one of the oldest open problems in computer science.
The world's biggest event for AI builders is in SF from June 3-5. Speakers include leaders from OpenAI, DeepMind, Anthropic, and more, click here to get 30% off your ticket [10].
Legacy code is full of surprises. Mainframes are chock-full of history, containing wonderful hacks that get around the limitations of systems. This post contains several examples of these hacks within a COBOL system.
LlamaIndex is an ecosystem consisting of more than 650 Python packages, mostly Integrations and Packs. All of these packages share a single GitHub repository, or monorepo. This article discusses LlamaDev, a tool for managing monorepos at scale, and explains the challenges with existing tooling. LlamaDev makes running tests faster and easier, creates clearer logs so contributors know exactly what happened if a check failed, and can be run locally for debugging.
Tesla's head of AI and self-driving, Ashok Elluswamy, recently admitted in an interview that the automaker's autonomous program is lagging a couple of years behind Waymo's. However, Tesla's approach is much cheaper, and its cost advantage will allow the company to scale faster. Tesla produces over a million cars a year, versus Waymo's few hundred units, and it plans to use the same vehicles for its autonomous riding service. The company is still limited to a level 2 advanced driver system, which requires constant supervision from the driver, while Waymo has been providing customers with level 4 autonomous driving rides for years. It plans to start offering level 4 autonomous rides to customers in Austin next month.
Google is getting back into the smart glasses game. The company has announced a partnership with Warby Parker - they plan to launch a series of smart glasses built on top of Google's Android XR as soon as next year. The rise of generative AI has allowed Google to revisit the idea of Google Glass, a wearable it launched in 2013 that failed partly due to a technology gap. The company has learned many lessons since the failed launch. Other companies, like Meta and Apple, are also reportedly working on smart glasses.
Microsoft says it has been unable to implement linked-out payments because of Apple's anti-steering policies, which restrict Microsoft's communications to users and impose a high economic cost.
China welcomes foreign companies and competition but creates conditions where local alternatives can thrive alongside them, and its provinces, despite competing against each other like countries in the EU, all have the ultimate goal of developing a Chinese champion that can successfully compete on the global stage.
Head, the world's first true AI Marketer [4], isn't merely an advanced tool; it manifests as an emergent AI species. Its architecture is characterized by profound, self-directed learning and continuous adaptive evolution, enabling it to self-directedly devise and execute complex marketing strategies [4] – from ideation to nuanced creative outputs – with precision surpassing existing human and algorithmic benchmarks. Significantly, while the capacity for AI empathy is often debated (ref. Sam Altman), Head's deep brand-audience synthesis capabilities compel a critical re-evaluation of such limitations. This represents a new frontier in applied AI, fundamentally redefining marketing efficacy.
Google I/O 2025 included announcements about putting more AI into Search, Gmail, and Chrome, AI model updates, and plans to revamp video calls, make a more aware and conversational assistant, and partner with traditional glasses companies on smart glasses. This page contains all of the news and announcements from the event. Highlights included Google's 'universal AI assistant' prototype, real-time AI camera sharing in Search, a new way to hold virtual meetings, and Gmail smart replies. The keynote lacked a big Android presence, but Google had already made plenty of Android OS announcements last week.
Apple plans to open its Apple Intelligence AI models to third-party developers with a new software development kit (SDK). The SDK will give developers access to smaller on-device versions of Apple's AI models, but not the cloud-based models running on Apple's servers. Apple may be looking to mirror the early success of the App Store by making it easy for developers to use its new capabilities. This could result in a large base of innovative AI-powered experiences exclusive to its platforms.
Surgeons in California have performed a successful bladder transplant on a patient who previously had his bladder and both kidneys removed as a result of cancer treatment and end-stage kidney disease. The treatment allowed the patient to go off dialysis. While the surgery comes with considerable short- and long-term risks and unknowns, it is a historic moment in medicine that could impact how patients with highly symptomatic 'terminal' bladders that are no longer functioning are managed.
3D printing is shifting the healthcare field from mass-produced solutions to customized treatments tailored to each patient's needs. The rapidly evolving technology provides new options for prosthetics, implants, surgical planning, drug manufacturing, and many other health care needs. 3D printing is able to create precisely shaped objects in a wide range of materials, leading to many advanced treatments. This article looks at the many different ways the technology is being applied to medicine.
Google's Director of AI Dr. Ali Arsanjani, and Datadog's VP of Engineering Sajid Mehmood, sat down to discuss the current and future states of AI, ML, and LLMs on Google Cloud. This guide distills the top 7 insights and actions for technical leaders [9], covering everything from upskilling teams to observability best practices. Read
OpenAI's Codex is a software engineering agent that runs in the cloud and does tasks like writing new features or fixing bugs. It can run many tasks in parallel. All code is provided via GitHub repositories, and all Codex executions are sandboxed in the cloud. While it can't access the web, it can install dependencies before it starts. It will take some time before Codex can be properly evaluated, as it is currently only available to those paying $200/month, but reviews so far seem positive and many people report being impressed with it.
Juvio is a UV kernel for Jupyter that can create reproducible, dependency-aware, and git-friendly Jupyter Notebooks. It installs packages right from the notebook and saves dependencies directly in the notebook as metadata. Juvio automatically installs dependencies when the notebook is opened in an ephemeral virtual environment, ensuring that notebooks run with the correct version of the packages and Python. Notebooks are converted to a format that makes diffs and version control painless.
One of the prerequisites for bringing about the civilizational-scale change during the Enlightenment was a series of technological innovations that dramatically improved communications among the intellectual elites. The Enlightenment saw the widespread printing of secular books, the spread of newspapers, and the build-out of public postal systems - innovations that allowed people to send letters to each other, read each other's books, and keep up to date with news happening in other countries. Communication tools like Substack allow people to engage in the work of ideating and iterating ways to solve challenges and build society. These tools are more accessible than ever and allow us to hear from a wide range of people.
Google is bringing Gemini and Gemini Live to Chrome for Mac and Windows. The integration will initially let users ask questions about pages - future versions will be able to navigate the web and take actions on users' behalf. Google is currently in the middle of the remedy phase of an antitrust trial that it lost, and one of the things the Justice Department wants to take from the company is Chrome. The integration may shift Chrome from a piece of older technology to a vessel ready to carry Google to dominance in AI. This may raise complaints from startups like Perplexity and The Browser Company, which are both on the verge of launching new AI browsers, and cause more issues with Google's case.
Public clouds were designed for a world of exponential growth where costs didn't matter. Today, companies are rediscovering the benefits of more nuanced infrastructure decisions. Read more on the Aptum blog