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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.

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.

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.

Gaunlet is a 10-week engineering fellowship built around sustained execution. Design and ship production-grade AI systems that advance your career. Alumni land $200k-$950k starting compensation. Apply to join Cohort 5

That's how one grad described Gauntlet — an intensive, fully funded 10-week AI engineering fellowship. If you want to become an AI-native engineer and make $200K-$950K, then apply now.

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

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.

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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.

This is what AI was supposed to feel like.

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.

M2.7 is MiniMax's latest model, the first to deeply participate in its own training, handling complex multi-step agentic tasks and on par with Sonnet 4.6 on OpenClaw at a fraction of the cost. Its M2.5 was the first open-weight model in Notion's Custom Agents lineup, alongside Claude and GPT, and became the most-used model on OpenClaw within a month of release. → Try M2.7

MiniMax is also open-sourcing their Office Skills library(MIT): 4 production-grade Skills for Word, Excel, PDF & PPT that generate actually deliverable files. Works with Claude Code, Cursor, Codex & OpenCode. → Check out the open source Skills library [Github]

New: MiniMax launches the world's first subscription supporting all modalities: M2.7, video, voice, music and image, with no surprise bills. → Subscribe to the new Token Plan

Anthropic recently published a version of the Claude Code npm package that included a source map file that could be used to access the entirety of Claude Code's source code. More than 512,000 lines of code were leaked on a public GitHub repository, which has since been forked tens of thousands of times. Developers are already analyzing the code to find out how Claude Code works. Anthropic has publicly acknowledged the mistake.

Apple is testing a feature in Siri that will let it process multiple requests in a single query. Siri currently requires users to make requests individually. The new feature will allow users to combine requests, for example, ask Siri to check the weather, create a calendar appointment, and send a message, all within a single prompt. The new Siri is expected to be released at Apple's Worldwide Developers Conference on June 8.

Microbubbles are tiny gas-filled bubbles with a protective outer shell that are capable of carrying drugs or genetic material to cells in the body. They are too large to leave the bloodstream, so they deliver drugs by bursting on command, briefly forcing open biological barriers to allow treatments to pass through. The force of their bursts can be used to break apart kidney stones. These bubbles can be steered, so they can carry therapies through the bloodstream to release precisely where they're needed.

Two independently written whitepapers have come to the same conclusion that building a utility-scale quantum computer that can crack elliptic curves requires far fewer resources than anticipated. The papers are the latest sign that cryptographically relevant quantum computing at utility-scale is making meaningful progress. The advances are being driven by new quantum architectures that operate correctly even in the presence of errors, and ever more efficient algorithms. Neither of the papers has yet been peer reviewed.

As the first engineer on TLDR's new Applied AI team, you'll build AI agents to automate end-to-end workflows and lead our context engineering project to allow non-technical teammates create their own AI workflows. Learn more.

Claude Code CLI's source code was recently leaked on GitHub. This post breaks down how the system works, where Anthropic made clever engineering choices, and where Anthropic's approach diverges from OpenAI's Codex. Claude Code is about 500,000 lines of TypeScript, with the actual API call comprising maybe 200 of them. Everything else in the harness.

Inference is when a model takes an input and generates an output, one token at a time. Inference engineering is becoming more widespread as open models become more capable. With closed models, inference engineering is only done by the AI engineers who build the model, but anyone can tinker with open models. This post discusses what inference engineering is and some interesting approaches to inference engineering worth knowing about.

Google decided to restructure itself in 2015, spinning out chunks of its operation as semi-independent bets and creating a holding company called Alphabet to preside over them. DeepMind used the opportunity to regain its independence. It planned to create a new DeepMind with a board comprising three people from DeepMind, three people from Alphabet, and three independent members. The ensuing governance talks were dubbed by DeepMind's leaders as 'Project Mario'.

JustPaid, a California-based startup, used a combination of OpenClaw and Claude Code to create a team of seven AI agents to grind out code 24/7. The agents have built 10 major features in a month, each of which would have taken a team of human developers a month or more to build. JustPaid plans to eventually replace all its employees with AI. The company currently has nine employees - its latest human hire was trained almost entirely by the AI agent engineers.

Your AI agents are fast but flying blind. mirrord connects them to real API responses, database state, and queue payloads so every change gets tested against actual staging. See how monday.com cut dev cycle time by 70%.

OpenAI has raised $122 billion in a round that values the company at $852 billion.

The band will integrate with an AI-powered personal health coach inside the newly redesigned Fitbit app.

Businesses are using AI under the assumption that the technology will eventually improve to the point that it will easily solve all of the technical debt currently accruing, but this might not be true.

Malicious versions of popular open source software development tool, Axios, were published on Monday, putting millions of developers at risk of being compromised.

Gmail users can now create new account names without losing access to their old addresses.

The full scope of the layoffs isn't clear, but some employees are reporting a reduction far in the thousands.

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Apple is recommitting to its core business model of selling hardware and services. It knows its homegrown AI technology lags behind competitors, so it is focusing on its core strengths. Historically, Apple's software has been about driving product sales rather than generating revenue in their own right. It plans to embed just enough AI in its OSes to keep users from defecting, while opening Siri and Apple Intelligence to third-party services. This approach leverages its hardware, makes its products more customizable, and keeps the company in control of its ecosystem.

Sora was hyped as AI's next consumer-friendly frontier, and even Disney signed onto the vision. OpenAI then suddenly killed the project, with many Disney executives learning about the decision less than an hour before it was announced. OpenAI needed to free up more computing resources, and Sora was using far too much. The product wasn't profitable, and every user drew down a finite resource. CEO Sam Altman says the move was a difficult but necessary sacrifice toward the company's larger goals.

Coding agents will soon drastically alter both the practice and the economics of exploit development. A substantial amount of the high-impact vulnerability research will just be pointing an agent at a source three and telling it to find zero days. This will profoundly alter information security and the Internet itself.

A Californian startup called R3 has raised funds to create non-sentient monkey 'organ sacks' as an alternative to animal testing. The startup's founder reportedly secretly pitched a vision where the startup creates 'brainless clones' to serve as backups for human bodies. This could be in the form of a baby version of a person with enough brain structure to be alive in case they ever need a new kidney or liver, or it may even be possible to one day transplant a brain into a younger clone to gain a second lifespan. The company has denied that it ever made the pitch, saying that any allegations of intent or conspiracy to create human clones or humans with brain damage are categorically false.

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This plugin enables Claude Code users to start using Codex from the workflow they already have. Users can use Codex from inside Claude Code for code reviews or delegate tasks to Codex. The plugin uses the local Codex CLI, so existing sign-in methods and configs still apply. It also uses the same repository checkout and machine-local environment.

Most of the signals that trigger engineering work are already machine-readable. The current bottleneck is where a human reads that signal, interprets it, and then types a prompt telling the agent what the signal already said. Give agents comprehensive unit tests so they can verify their own output, good documentation to discover context, reproducible dev environments to run code, and rich system accounting. This scaffolding will enable agents that can close incidents around the clock.

AI will see much further than the spreadsheet ever could. It will allow businesses to accomplish incredible things, and make possible coordinations of labor and capital more ambitious than anything we can imagine today. However, as corporations become dominated by AI systems, the most human elements of organizations may be devalued or discarded entirely. Great organizations are great because of something irreducible about the collection and organization of particular people toward particular ends.

High-growth AI startups are flush with venture capital. Combined with a wildly competitive talent market, this has caused increasingly creative incentive structures and more cash-heavy offers. Startups are focusing on hiring the best as they need to stay lean and small. This is creating a split economy in the tech industry where the top 5% to 10% of candidates are getting all of the offers and the rest are struggling.

Stop guessing what to modernize. This playbook from Microsoft's Azure Copilot Migration Agent team gives you strategies to decide what to re-platform, refactor, and what to leave as is. Try it yourself–download a copy today.

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Tickets are now handled by agents, and they only have the words on the ticket, and no other context.

Apple is not okay with apps that can change their own behavior by generating and running code outside of App Store review.

AI will create more software that is free to run, study, modify, and share.

Jevon's Paradox states that the cheaper a product becomes, the more it is consumed, and Veblen goods are those whose demand increases with price - it is unknown which way the AI industry will go.

Instagram Plus is being tested in select markets, including the Philippines, Japan, and Mexico, with the plans costing the equivalent of $2 USD per month.

The cost to implement is the time and expertise needed to produce code, and the cost to verify is the time and expertise needed to confirm the code is correct.

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A configuration error in Anthropic's content management system exposed a draft blog post describing a new model called Claude Mythos. The model is reportedly larger and more intelligent than the Opus models. The draft warns that the model poses unprecedented cybersecurity risks as it is far ahead of any other AI model in cyber capabilities. Mythos is extremely compute-intensive and expensive to serve - Anthropic is working on making it much more efficient before any general release.

Dario Amodei and Sam Altman clashed for years when Amodei was still at OpenAI. The final split happened toward the end of 2020, after a disagreement over whether OpenAI should be a market company or a public-good company. Dario left with nearly a dozen OpenAI employees. Within five years, Anthropic would be lining up banks, racing toward an initial public offering before its founders' former employer.

Sid Sijbrandij ran out of standard care treatments for bone cancer, so he started creating treatments for himself. This site details his journey and the results of the treatments so far. Sijbrandij's cancer is now in remission. He is now working with companies to scale his approach for others.

Scientists have discovered a surprisingly large reserve of silent synapses in the adult brain. These unused neural connections can be rapidly activated to store new memories. This system allows the brain to create new memories without overwriting the important memories stored in mature synapses. If silent synapses decline with age or disease, it could help explain why learning new skills or adapting to change becomes more difficult over time.

Stop babysitting your coding agents. Unblocked gives them the decisions, history, and conventions behind your code so they generate mergeable output. It pulls from organizational knowledge, resolves conflicts, and cuts rework by delivering only the context agents need for the task at hand. See how Unblocked works.

Pretext is a browser library that solves the problem of calculating the height of a paragraph of line-wrapped text without touching the DOM. It uses a clever array of tricks to make the process faster and enable all sorts of new text rendering effects. Pretext supports all languages, including Korean mixed with RTL Arabic and platform-specific emojis. A demo is available in the article.

All harness design is to overcome the problems of agents either becoming lazy and cutting corners or being confused and stupid. For most people, starting with a vanilla startup using native features will be good enough. However, a custom agent will allow users to create new workflows that directly address all the ways agents fail in more specific contexts. This article describes all of the problems developers likely face when using agents in long-running autonomous projects so that they can better put these problems into words when creating custom harnesses.

Google bought DeepMind for $650 million at the end of January 2014. It poured billions into DeepMind's research, but it took a decade for the quest for superintelligence to go into overdrive. This article tells the inside story of how Google ended up purchasing the startup and the specific terms of the final deal.

The most important ideas in AI right now are autonomous component improvement, the transition to intent-based engineering, the move from opacity to transparency, the realization that most work is scaffolding, and the idea that expertise gets diffused into public knowledge. The speed of improvement in many fields is about to accelerate beyond anything we've ever seen. The new bottleneck is being able to say what you actually want. Every organization is going to converge on the same cycle: define what you're trying to do, execute with agents, log everything, collect failures, and let the system improve itself.

Your AI agents are fast but flying blind. mirrord connects them to real API responses, database state, and queue payloads so every change gets tested against actual staging. See how monday.com cut dev cycle time by 70%.

AIs with Agent Skills can execute tasks as good or better than most people who do that work professionally.

Apple has made it clear that Liquid Glass is absolutely moving forward, evolving, and expanding across the ecosystem.

jsongrep takes a query and a JSON input and prints every value whose path through the document matches the query.

Object storage is cost-effective, and the independence of compute from storage allows flexible scaling of compute resources.

Executives built their careers around managing non-deterministic systems, while ICs operate in a more deterministic world and are evaluated on their ability to deliver precise, reliable output.

pgmicro is an in-process reimplementation of PostgreSQL that is backed by a SQLite-compatible storage engine.