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John Ternus will officially begin his tenure as Apple's new CEO on September 1. He will reveal Apple's biggest new product in a decade, the first foldable iPhone, less than two weeks later. Ternus oversaw the engineering and product development of the device, which makes him the perfect person to be the face of the new era of the iPhone. The launch will give the new CEO a tailwind in both buzz and revenue while letting Ternus tout a product that reflects his style.

X Money is expected to launch to the public before the end of this month. The banking and payments platform will provide free peer-to-peer transfers, a personalized metal Visa debit card, and an AI concierge that tracks spending and sorts through past transactions. It has some competitive perks, including 3% cash back on eligible purchases and a 6% interest rate on cash savings. X Money still lacks payment licenses in several states.

Tesla's Cybercab has officially entered production at the company's Giga Texas production facility outside of Austin. The Cybercab has no steering wheel or pedals. It relies fully on Tesla's advanced vision-only Full Self-Driving system. The start of Cybercab production is a signal that Tesla trusts its progress on Full Self-Driving and that autonomy is near.

Big tech's AI infrastructure buildout depends on a single Dutch company, ASML, which is the world's only supplier of the complex machines needed to make cutting-edge chips at scale. ASML is currently racing to meet the industry-wide surge in demand. It is building new facilities, repurposing existing clean rooms, and working on more advanced machines capable of churning out more chips. It is also hiring more engineers while cutting leadership roles to speed up decision-making. The boom has helped cement ASML's position as Europe's most valuable company.

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The role of the Engineering Manager is shifting. It is moving up an abstraction layer, so managers are delegating more managerial tasks to agents and then synthesizing and selecting where to go deeper. Some managers will do the same work with a bigger scope, but others will shift to more high-impact work. The purely operational manager role is at the most risk of being obsolete. Those who center their role on judgment, relationships, and organizational influence will become more valuable.

Last year, Shopify grew its internship program from roughly 100 interns per year to over 1,000. The company plans to continue the program this year and hire another 1,000 interns. Shopify hires interns to keep the company thinking with fresh eyes and to make sure there are always people questioning the way things are done. The new generation of interns will have grown up with AI - the company wants these types of people to reimagine what it looks like to build with AI.

It's understandable why people use AI. People want to use tools that promise quick, convenient solutions to problems. Many people have jobs only to make money to pay rent and medical expenses. AI is just a symptom of a broken system rather than the cause.

Google plans to invest between $10 billion and $40 billion in Anthropic, depending on whether Anthropic meets certain performance targets. Amazon recently invested $5 billion in Anthropic, with an option to further invest based on performance. Both investments value Anthropic at $350 billion. The investments are aimed at helping close the gap between demand and supply of compute for AI training and inference.

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If Musk does win, the most likely outcome would be a money award well below the headline figure along with targeted governance fixes and guardrails such as independent board seats, mission-protective covenants, and constraints on licensing intellectual property.

Creating a token usage leaderboard incentivizes more AI usage, which means producing a lot more real-world traces that can be used to train next-generation models better.

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Model capabilities are catching up, making harnesses less of a requirement.

Several recent incidents have caused employees to ask questions in the company's internal Slack - the company responded by removing the conversations.

Civilization-scale technological transformation is extraordinarily rare.

Dwarkesh Patel hosts a podcast that averages two million listens per episode featuring guests like Jensen Huang, Mark Zuckerberg, and the most influential AI researchers.

Most meeting transcribers are kind of... bad? Meeting bot awkardness, long lists of irrelevant bullet points, and you're left wishing you'd taken your own notes for context.

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Anthropic claims its new Claude Mythos Preview model is too powerful to be released to the public. The model specializes in identifying security vulnerabilities in software. Anthropic is making the model available to more than 40 technology companies to use to find and patch security vulnerabilities in critical software programs. The move is aimed at raising awareness of AI threats and giving good actors a head start on the process of securing their code.

Intel has partnered with SpaceX and Tesla to work on Elon Musk's Terafab project. Intel will design, fabricate, and package ultra-high-performance chips at scale. Terafab will make chips for use in Tesla's robotaxis and Optimus humanoid robots. It will also make chips optimized for use in space.

Intel's Fab 9 and Fab 11X are critical infrastructure for the company's fast-growing advanced chip packaging business. Packaging involves combining multiple chiplets onto a single custom chip. Nearly every major tech company is considering or is already making custom chips as AI is driving demand for all kinds of computing power. Intel is reportedly in ongoing talks with Google and Amazon for its advanced packaging services.

The Orion spacecraft has performed well since its launch last week. The crew looped behind the Moon on Monday. They reached their closest point to the lunar surface at a distance of 4,067 miles at 7 PM EDT. The Artemis II mission reached its most distant point from Earth at a range of 252,756 miles, a new record for the farthest anyone has traveled into space.

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S3 Files lets developers mount any S3 bucket or prefix as a filesystem on an EC2 instance, container, or Lambda function. It is backed by EFS, which provides the tools developers already expect. From an application's perspective, S3 files is a mounted directory, but from S3's perspective, the data is objects in a bucket.

The current most effective way to build software and get massive adoption is to create building blocks that enable and encourage others to build quantity over quality. This will ultimately lead to better mainline software. Agents readily pick open and free software over closed and commercial. Closed-source, commercial software is at a massive disadvantage.

Anthropic has partnered with several cybersecurity companies to fix zero-day exploits found by Claude Mythos. The New Yorker recently published a massive article about Sam Altman and his lack of trustworthiness. OpenAI recently proposed policy for the age of superintelligence. The company has purchased tech show TBPN, and while everyone vows that it will stay the same, that's unlikely to happen. This article gets into the details of each story.

Competent output is now cheap thanks to AI. This gives people who can tell what's generic, what's true, and what's worth pushing further an advantage. Taste is a side-effect of paying close attention to reality. Combine taste with context, constraints, and the willingness to build something different from the average.

The tab layout can be changed by right-clicking on any Chrome window and choosing the 'Show Tabs Vertically' option.

Production has yet to ramp up, which means the timing isn't final.

The official EPA range estimate for the R2 is 335 miles when fitted with 12-inch wheels, and 314 miles when fitted with 20-inch wheels.

Mechanical sympathy is the practice of creating software that is sympathetic to its underlying hardware.

Impeccable is a set of AI skills that provides the design vocabulary required to create great design prompts.

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Scion is a multi-agent orchestrator designed to manage deep agents in isolated containers so they can work on different parts of projects without stepping on each other.

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Anthropic's annual revenue run-rate has spiked from roughly $9 billion at the end of 2025 to more than $30 billion. Fewer than 135 S&P companies booked at least $30 billion in sales in the past 12 months. OpenAI's annual revenue run-rate is around $24 billion. Anthropic recently announced an expansion of its partnership with Google and Broadcom. Anthropic will access 3.5 gigawatts of TPU-based AI compute capacity beginning in 2027.

OpenAI's CFO, Sarah Friar, reportedly told colleagues earlier in the year that she didn't believe the company could be ready to go public in 2026. CEO Sam Altman wants to go public as soon as Q4. Friar has previously expressed doubts about whether OpenAI needed to pour so much money into obtaining AI servers, and whether the company's revenue growth would support the commitments. These frictions have led Altman to exclude Friar from some conversations related to the company's financial plans.

The Artemis II mission is the first to send humans to the Moon in more than 50 years. The crew surpassed the Apollo 13 distance record of 248,655 statute miles from Earth, reaching a peak distance of 252,756 miles from Earth. It came within 4,067 miles of the lunar surface, looping around the far side of the moon before returning. The crew is set to splash down in the Pacific Ocean off San Diego, California, on Friday at 8:07 PM.

Robotic machine learning company Generalist's GEN-1 physical AI system reportedly crosses into production-level success rates on a broad range of physical skills. The model is also able to respond to disruptions by improvising new moves. The company collected over half a million hours and petabytes of physical interaction data to help train the model. A video of a robot powered by the model taking money out of a wallet and replacing it is available in the article.

Multi-step LLM workflows break in unexpected places due to bad retrievals, hallucinated tool calls, and prompt injections you didn't see coming. Datadog's LLM Observability Best Practices Guide walks through how to trace, evaluate, and secure every step of the chain - so you can improve output quality and reduce security risk. Read the guide

Meta's AI agents weren't making useful edits quickly enough when pointed at one of the company's large-scale data processing pipelines. The company fixed this by building a pre-compute engine consisting of a swarm of over 50 specialized AI agents that systematically read every file to produce context files that encode the tribal knowledge that previously lived only in engineers' heads. As a result, its AI agents now have structured navigation guides for 100% of the company's code modules. The system works with most leading models because the knowledge layer is model-agnostic.

One of Vercel's oldest and largest Next.js apps is a monorepo that contains multiple critical properties. The repository sees over 400 pull requests per week on average. Until recently, this required human approval before merging, but now, an agent reviews and merges 58% of those pull requests without a human reviewer. This has dropped the average merge time by 62%.

Millennials may be the last generation that builds their careers around software as a medium. They drove the digital transformation, but unfortunately, they are the sandwich generation that has to explain software to their parents and AI to their kids. It is unknown what will happen to the people whose edge was being good at creating software when software started getting built, configured, and operated by AI. However, it is clear that the advantage is shifting.

Today's social media ecosystem is particularly unhealthy. It is small and continuing to get smaller. When there's a lack of competition in an isolated environment, strange things start to happen. All sorts of things that might not be survivable in a more competitive environment can actually become fitness advantages in these scenarios.

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Amazon and the US Postal Service have a tentative deal that will result in a 20% reduction in packages Amazon ships through the service.

AI enables developers to work more monolithically.

Google AI Edge Gallery is Google's official app for running Gemma 4 models directly on an iPhone.

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Current predictions about quantum computing timelines could turn out to be wrong, but the risk that they could be right is unacceptable, and people need to start acting now.

The internal complexity of the Rollable made it extremely expensive to manufacture, and durability was a big concern.

The next 18 to 24 months are going to be defined by compute shortages.

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Apple has signed drivers for Nvidia eGPUs. Users can now pair their eGPUs with Macs for AI LLM processing without having to use workarounds like disabling System Integrity Protection. High-end Apple computers have become popular for use with AI agents like OpenClaw. The demand has been so high that delivery times for Macs with massive amounts of memory have increased to up to six weeks.

OpenAI and Anthropic are racing toward potentially record-breaking IPOs by the end of the year. OpenAI expects to burn $85 billion in 2028. Anthropic doesn't expect to spend nearly as much, but its forecasts tell a similar story of mounting computing costs. There are no signs that the AI arms race is slowing down, with both companies releasing new versions of their models at a faster cadence than ever before. This article contains charts drawn from confidential financial documents that both companies shared with investors, offering a window into the economics of the two largest AI labs in the world.

Impulse Space and Anduril Industries have been selected to develop space-based missile interceptor technology for President Trump's planned Golden Dome missile defense shield. Space-based interceptors are a key but unproven component of the Golden Dome effort. The Golden Dome will protect the US and possibly other countries with layers of defense systems from ground to space. The project is expected to cost $185 billion and demonstrate operational capability by 2028.

Neurobots are clusters of living cells that, when cultured in simple saline conditions, spontaneously self-organize in such a manner that they move and act in novel ways. They're made with natural cells, arranged manually by scientists. Neurobots can move and respond to their surroundings. Scientists are still figuring out the organizing principles that enable these movements. Once they understand how they work, the researchers can then focus on engineering them for various uses, such as monitoring ecosystem health.

TLDR reaches the technical decision makers who actually convert. MLOps Community ran both. Meta drove more registrations. TLDR drove more actual attendees. See how TLDR compares to Meta.

Despite how important SQLite is to the industry, no one seems to have invested in building a really good developer experience for it. syntaqlite is a set of high-fidelity devtools for SQLite developed over around 250 hours of effort over three months by a developer using an AI coding agent. This post systematically breaks down the developer's experience in building syntaqlite with AI, covering both where AI helped and where it was detrimental.

System prompts are often the best manual for how an app is intended to work. The accidental leak of Claude Code's source code reveals how Claude Code assembles a context and shows how complex context engineering can be, and the importance of harnesses. This post contains a table that shows how Claude Code assembles a system prompt. Some components are always included, while others are conditional, and components may have variations.

Chinese tech companies are increasingly seeking out high schoolers to fulfill research and internship roles due to insufficient talent in universities. Creativity is increasingly valued for roles such as product managers, and it is believed that younger candidates may be more likely to imagine things that do not yet exist. Globally, some tech leaders are questioning whether universities are still the best way to train talent. Tech companies recruit many people without bachelor's degrees who just figure things out on their own.

Many economists don't see much evidence that AI is disrupting the job market, but they are starting to take seriously the possibility that it could happen someday soon. AI is expected to grow the economy as the technology improves, but its effect on jobs and the economy is difficult to predict. Given the potential scale of disruption, economists say it is time to start considering policies to help workers who may be displaced or otherwise harmed by the changing economy. The conversations need to happen now, as a lot will change in the next two to five years.

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GitHub is on pace for 14 billion commits in a year, if growth remains linear.

Musk also asked that the banks advertise on X, but he was less adamant about that request.

The gap between 'using AI' and 'getting real value from AI' is fundamentally a product problem.

NASA's 'loss of crew' threshold for Artemis missions is calculated to be 1 in 30.

The big AI model providers would have made domain-specific models if there was any feasibility in it.

Brad Lightcap, OpenAI's longtime COO, will now lead special projects and report directly to CEO Sam Altman.

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Google DeepMind has released four new vision-capable Apache 2.0-licensed reasoning models sized at 2B, 4B, and 31B, plus a 26B-A4B Mixture-of-Experts. The models are multi-modal beyond just images and can process video at variable resolutions. The two smaller models feature native audio input for speech recognition and understanding. API access to the two larger models is available through Google's AI Studio.

OpenAI has acquired TBPN, an online talk show with by-the-minute analysis of technology news and executive interviews. The show averages around 70,000 viewers per episode across various platforms. It has become popular among Silicon Valley power players, who view it as more supportive of the tech industry than traditional news outlets. The show generated around $5 million in revenue from advertising last year and was on track to make more than $30 million in revenue in 2026.

Three Americans and one Canadian launched into orbit on the Space Launch System rocket from NASA's Kennedy Space Center on Wednesday. The Artemis II mission is testing the transportation system NASA plans to use to get astronauts to the Moon and then return crews home at the end of their mission. If the mission is successful, the astronauts will go further than anyone has ever traveled in space. They will see parts of the far side of the Moon never before seen with human eyes. The crew is scheduled to return on April 10.

Sanctuary AI recently released a video showing the company's hydraulic hand autonomously manipulating a lettered cube, achieving target orientation 10 consecutive times without dropping the cube. The manipulation took place entirely at the fingertips without the support of the palm. The demonstration showcases a successful instance of zero-shot transfer. The video is available in the article.

Cursor 3 brings clarity to the work that agents produce, pulling users up to a higher level of abstraction. It is faster, cleaner, and more powerful. The new interface is inherently multi-workspace, so users can work with agents across different repositories. The company plans to continue making interface changes as more powerful coding models unlock new interaction patterns.

Simon Willison is an independent software developer, blogger, and one of the most visible and trusted voices on the impact AI is having on builders. Willison made the leap from traditional software engineering to AI-native development more fully and visibly than almost anyone, documenting everything he learned in real time on his blog. This article features highlights from a recent interview with Willison, where he shares why November 2025 was an inflection point for AI coding agents, how he writes 95% of his code from his phone now, why mid-career engineers (not juniors) are most at risk right now, and more. A video of the full 1 hour and 40 minute-long interview is available.

Amazon's success has done a great deal of harm to a lot of companies. Jeff Bezos is a generational entrepreneur who came from a hedge fund. He made a very calculated decision to lose money in the short term to make more in the long term. He took every detail into consideration to make his plan work. Amazon is a bad example of why it is okay to burn loads of cash during growth. The strategy doesn't always work out, especially if it is not executed correctly.

Medvi, a telehealth provider of GLP-1 weight-loss drugs, took two months and around $20,000 to build. Its founder, Matthew Gallagher, used AI tools to write the code that powers the company, produce website copy, generate media for ads, handle customer service, and analyze business performance. He outsourced the other stuff he couldn't do himself and hired one employee, his younger brother. The startup is on track to do $1.8 billion in sales this year.

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The Web Neural Network API is a dedicated low-level API for neural network inference hardware acceleration.

This post details how to create a coding agent that adapts perfectly to custom workflows by clearly separating concerns.

We need better cache policies and architectures to address the impact of AI bot traffic on cloud infrastructure, which is only going to continue to grow.

Devrel has to be legible, not just to humans, but to the machines working alongside them.

People will start using agents to attack old problems with modern tooling, resulting in new versions of software tools that people rely on but don't like.

Microsoft lost its largest customer, OpenAI, and the trust of the US government, in one of the silliest, most preventable, and most costly mishaps of the 21st century.

Every AI tool today is powerful, but useless without context. It doesn't know your projects, your priorities, or the conversation you had an hour ago. So you copy, paste, re-explain, and start over. Every time.

Littlebird is what AI should have been from the start. It observes your screen and meetings, building a private memory that grows with you. No setup. No catching it up. Just an AI that finally knows what you're working on.

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SpaceX has confidentially filed IPO paperwork with the Securities and Exchange Commission. The company is aiming to raise between $40 billion and $80 billion. The filing puts it on track to potentially list shares by July. The confidential filing means most investors will have to wait until closer to the IPO to see the company's financial performance.

OpenAI shares have dropped in value on the secondary market as investors pivot to Anthropic. Investors are, in some cases, unable to sell their shares. Meanwhile, buyers have indicated that they have $2 billion in cash ready to deploy to Anthropic. Anthropic and OpenAI don't allow investors to trade shares on secondary markets without permission, but access is still available on many platforms through mechanisms such as special-purpose vehicles.

Economists and AI experts predict major AI progress, but there will be no dramatic break from economic trends. GDP growth rates will remain similar to today's despite a moderate decline in labor force participation. There will be significant economic impacts by 2050. It is predicted that by 2050, the labor force participation rate will be 55%, and 80% of wealth will be held by the top 10%, the highest disparity since 1939.

Google Quantum AI recently dropped a whitepaper with a headline finding that the cryptography that secures Bitcoin and most of the crypto ecosystem can be broken using fewer than half a million physical qubits on a superconducting architecture in about nine minutes. The company withheld the specific quantum circuit used in the name of responsible disclosure, but the paper constrains the search space so tightly that reproducing comparable circuits is well within reach for any serious quantum algorithms group. The qubit counts that make these cryptographic attacks feasible are roughly the same number of qubits required to make quantum-enhanced AI feasible. This suggests that the threat and capability of quantum computing will arrive roughly on the same timescale.

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The most dangerous failure mode in agent-driven systems is silent drift - code that compiles and passes every test, but quietly violates the architectural assumptions that were thought safe. While humans can catch these mistakes through intuition, agents can't, so they need deterministic, immediate signals. This means tightening the feedback loop by shrinking the gap between a wrong change and a clear failure signal. Focus on feedback rather than chasing clever prompts.

Spec-driven development means writing durable intent down before implementation, using it to plan, build, check, and revise the work. The goal is to reduce execution freedom. Specs should be declarative, layered, and cheap to revise. When a rule can be enforced mechanically, move it out of the spec and into lint, schemas, tests, or the harness. Specs matter, but they're just one layer. The winning model puts a narrow interface between human intent and machine execution.

The people who get hired are the ones who can tell a clear story about their work and capabilities and make the interviewer think, 'I want to work with that person'. This is a skill, and like any skill, it can get better with practice. Most people never practice because they don't think it is something they can prepare for. A little preparation here goes further than almost anything else you can do for your career.

Amy Hood, Microsoft's longtime chief financial officer, has one of the hardest jobs in tech. The decision of how much to invest in AI without starving out other parts of the company or spooking investors with bottomless spending is a tough call, especially as projects about AI are educated guesses at best. While the industry consensus is to open the spigot for fear of missing out, Hood has kept a lid on costs, and Wall Street loves her for it. Huge AI investments have forced other companies to start burning cash, but Microsoft's margins have been largely stable.

AI is accelerating development, but it's not creating 10x engineers out of thin air. New data by Gitkraken shows rising duplication, shifting quality, and widening gaps between teams. Read the research

Russia's new superapp makes it easier for the Kremlin to curb internet freedoms and curtail the reach of Western tech platforms.

The AI industry is converging on the same idea of software that can take a goal, use tools, and do work on users' behalf.

Every enterprise vertical has decades of accumulated institutional judgment that can now be structured, compounded, and made operational.

Cowork is designed to tackle a broader range of tasks, so it potentially appeals to a bigger audience.

The deal is likely beneficial to Apple users, as long as Apple retains access to the Globalstar network.

EmDash is a full-stack TypeScript CMS that takes the ideas that made WordPress dominant and rebuilds them on serverless, type-safe foundations.