An essay is only valuable as it costs the writer something. That cost could be the years of experience that seasoned the piece that took hours to write, or it may be in the hours, weeks, or months of research and writing and editing and rewriting until the piece is good enough. A machine writing the same essay, word for word, wouldn't have paid the same price. Humans can read and feel the costlessness of it, even as the prose improves. We demand a cost.
Anthropic CEO Dario Amodei has apologized for a leaked memo in which he questioned the motives for the US Department of War's declaration that the AI company was a supply-chain risk and severing its government relationships. He had written that OpenAI CEO Sam Altman was attempting to spin/gaslight by claiming to support Anthropic's position while signing his own pact. This is one of the first times the supply-chain risk designation has been applied to a US company. The decision could have consequences for other businesses wanting to do business with the government. Anthropic is challenging the decision in court as it doesn't believe the action is legally sound.
Officials in the US Commerce Department have written draft regulations that could restrict AI chip shipments to anywhere in the world without American approval.
Epic took the settlement in the antitrust lawsuit with Google because it removed uncertainty and brought a quicker cut in commission fees for game developers worldwide.
Apple's new MacBook Neo is the first Mac to be powered by an iPhone chip. Using the A18 Pro that debuted in 2024's iPhone 16 Pro models, the MacBook Neo is 50% faster for everyday tasks than the best-selling PC with the latest shipping Intel Core Ultra 5. Available in Silver, Indigo, Blush, and Citrus color options, the device has a 13-inch Liquid Retina display without a notch. It has a 16-hour battery life, 8GB of unified memory, two USB-C ports, and a headphone jack. The MacBook Neo starts at $599 for 256GB of storage and is available for preorder now, with availability beginning on March 11.
Google will lower its Play Store fee to 20%, and 15% for new installs of apps from developers participating in its new App Experience program or updated Google Play Games Level Up program. Subscription fees have been lowered to 10%. Google will now charge developers in the UK, US, and European Economic Area a 5% fee for using its billing system and a market-specific rate in other regions. Developers can offer alternative billing systems or guide users to their own websites for purchases. Third-party app stores can now apply to Google's Registered App Stores program, which gives them a streamlined installation interface in Android if they meet certain quality and safety benchmarks.
The US Nuclear Regulatory Commission has issued a construction approval to TerraPower to begin working on a site in Kemmerer, Wyoming. TerraPower, financially backed by Bill Gates, is attempting to build a sodium-cooled reactor that incorporates energy storage as part of its design. The project is expected to be completed in 2030, but delays are expected as it is a first-of-its-kind project. It is being built as a joint public-private partnership as part of the Department of Energy's Advanced Reactor Demonstration Program.
Evo 2 is an open-source AI model trained on genomes from all three domains of life. It features internal representations of key features in complex genomes like regular story DNA and splice sites, which can be challenging for humans to spot. The model is fully open, including model parameters, training code, inference code, and the training dataset. It is useful for evaluating genomes and identifying key features.
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The Google Workspace CLI is a CLI for all of Google Workspace designed for humans and AI agents. The tool builds its entire command surface dynamically at runtime using Google's Discovery Service, so new API endpoints and methods are picked up automatically. It supports multiple auth workflows, so it works on PC, in CI, and on a server. There are currently over 100 Agent Skills for APIs, common workflows, and Google apps.
Every new generation of agents will force engineers to rethink what is optimal. In this situation, less is more. Using too many libraries and harnesses locks engineers into a solution for a problem that may not exist in future generations of agents. If a real problem existed, and there was a good solution for it, frontier companies would be the biggest users of that solution, and they would incorporate that solution into their product. It's possible to do ground-breaking work now with just basic CLI and understanding a few basic principles about agentic engineering.
Crypto firm Kraken's banking unit has won access to the Federal Reserve's core payment systems. The approval of the master account will allow Kraken Financial to handle transactions more quickly and seamlessly for big clients and professional traders. The approval is a major win for the crypto industry, which has been rebuffed for years in its efforts to tap into the system. It makes Kraken the first crypto firm to be able to move money on the same rails used by thousands of banks and credit unions.
The runaway intelligence case probably won't happen because the amount of electricity we can generate and the number of chips we can make is pretty limited. Models will certainly be useful in creating the next generation of models in the same way computers are useful tools when designing the next generation of computers, and it seems reasonable to expect that we'll eventually make an AI that is better than any human at anything. However, it is very possible that artificial intelligence will either plateau, just like human intelligence, or we'll run out of resources to compute the next iteration of intelligence.
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If 'AI-rewriting' is accepted as a valid way to change licenses, then any developer could take any GPL-licensed project, get an LLM to rewrite it in a different style, and release it under MIT.
Giving new package versions about a week on a registry before installing them can block most supply chain attacks, as it gives the community and security vendors time to flag problems.
Building something that needs search data? SerpApi converts Google, Maps, Shopping, and other search engines into structured APIs. Just a simple GET request.
Apple has added the M5 Pro and M5 Max to its MacBook Pro lineup. The M5 Pro now comes with 1TB of storage by default, while the M5 Max comes with 2TB of storage by default. The base storage for the M5 MacBook Pro has increased to 1TB. The upgrades come with increases to starting prices. Apple has also introduced a pair of new displays.
OpenAI's GPT-5.3 Instant is a conversational model designed to have smoother conversations. The model has improved contextual understanding of user queries, so it can answer more questions without assuming bad intent without any loosening of safety controls. This also makes it better at web searches. The model generates more useful direct responses rather than presenting users with lists of links.
Astrolab and Interlune are forming a partnership to build a fleet of electric harvesters to excavate, extract, and separate Helium-3 from lunar regolith on the Moon. The companies have not announced when they are scheduled to deploy an initial harvester, but both are working toward that goal. Astrolab's FLEX rover will likely be one of the first payloads on the first SpaceX Starship mission to the lunar surface. Helium-3 doesn't occur naturally on Earth. It has several applications, but the most near-term use is in cryogenics.
The Jesse-Victor-Gharabaghi (JVG) quantum decryption algorithm completely upends existing time projections for quantum decryption. It requires a thousand-fold less quantum computer resources to break the encryption methods used in RSA and ECC than Shor's approach. Shor's algorithm requires an estimated one million qubits, but JVG requires less than 5,000. Researchers previously believed we were a decade away from quantum decryption, but that timeline has now moved up significantly.
Humans already couldn't keep up with code reviews when humans wrote code at human speed, so there's no way we can manually review AI-generated code at scale, especially when reviewing AI-generated code requires more effort. Developers need to move upstream and focus on encoding the constraints. The future is ship fast, observe everybody, and revert faster.
Engineering teams praise engineers who overbuild, but the ones who ship simple things get nothing. This is what happens when companies evaluate work incorrectly. Complexity looks smart, and our systems are set up to reward it. Engineers need to learn how to describe the judgment behind their work to show how decisions were made and why complexity was avoided.
AI skeptics often argue that while AI can pretend to be people, it shouldn't. However, the biggest AI labs build human-like systems because that is the best way to build a capable AI system. Personalities are the medium that make language models useful. They guide models to pull from the helpful parts of their training data.
Apple's Pro and Max chips usually take the same basic building blocks from the basic chip and just scale them up. However, the M5 Pro and Max chips use a different CPU architecture. The new Fusion Architecture welds two silicon chiplets into a single processor. Rather than just a pair of M5 chips welded together, Apple has one chiplet handle the CPU and most of the I/O, while the other chiplet is used mainly for graphics. Apple is also introducing a new type of 'performance core' that prioritizes multi-threaded performance.
Apple has introduced a new iPhone in March for the second year in a row. The iPhone 17e is a basic, no-frills iPhone that features an A19 chip with four GPU cores and an Apple C1X cellular modem. The phone supports Apple Intelligence and MagSafe charging. It will be available for preorder on March 4 for a March 11 launch. The base 256GB model will cost $599, while an upgraded 512GB model will be available for $799.
Meta is testing a shopping research feature in its AI chatbot. The feature responds with carousels of product images with captions containing information about brands, websites, and prices. The chatbot's recommendations are tailored to users' location and other details when applicable. It is unclear whether Meta currently receives referral commissions for its chatbot recommendations or whether the AI prioritizes brands that already advertise with Meta.
SpaceX will attempt to catch Starship's upper stage with its launch tower after two perfect soft landings in the ocean. Starship V3 Ship 1 is now headed for ground tests. The vehicle is designed for full reusability. The first Starship V3 flight of 2026 will likely occur this month.
A research team at UC Davis Health has safely performed a spina bifida treatment combining fetal surgery with stem cells. The therapy involved adding a layer of human placenta-derived stem cells to standard fetal surgery. Putting stem cells into a growing fetus was a total unknown, but the team reported great safety. The success paves the way for new treatment options for children with birth defects.
In the open-weight ecosystem, teams build on each other's innovations to compound the pace of progress. This post looks at various open source models and the engineering bets that define each one. Every major open-weight model released at the frontier since 2025 uses a Mixture-of-Experts transformer architecture. Almost every 'open source' model is actually open weight - this means the trained parameters are public, but the training data and often the full training code are not.
A harness is a layer that connects, protects, and orchestrates components without doing the work itself. Every agent framework is trying to build its own harness from scratch, but durable, event-driven infrastructure already solves this. Utah (Universally Triggered Agent Harness) is a conversational Telegram or Slack agent with tools, memory, sub-agent delegation, and full durability - a durable, cloud-ready OpenClaw. It was created to prove that durable, event-driven infrastructure can be used to create an agent harness that decouples orchestration from the agentic loop.
Intercom found success as a late-stage SaaS company in AI. Three years ago, its future was looking pretty bleak as the company was heading quickly towards negative growth. It launched a new service agent called Fin in the summer of 2023, after which its business began to violently recover. The process involved destroying many parts of the business and creating new things. It was difficult, but the company is now at $400M ARR overall, with overall growth rates doubling for the past two years.