TLDR 2026-03-03

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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.

US policy has become increasingly unpredictable, thuggish, arbitrary, and capricious. Even if threats against Anthropic are scaled back, great damage has been done. The government has shown that it will treat homegrown companies like a foreign adversary simply for refusing to capitulate to its terms of business - for having its own opinions on how to, or how not to, deploy its own property. Companies cooperating with the US government will now have to operate under this logic.

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.

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SpaceX's upcoming Starlink V2 satellites will deliver up to 100 times the data density of the current first-generation system.

The strikes caused structural damage, disrupted power delivery to infrastructure, and in some cases, required fire suppression activities that resulted in additional water damage.

Stripe is introducing a new feature that will allow companies to charge an automatic markup on token usage.

The subscriptions that will survive are the ones that can't exist in any other way.

Go exists in a sweet spot of usability, performance, and ubiquity that makes it a very good fit for agents.

The US government was always going to use AI for whatever purposes it desired, regardless of provider - the way to address this is with new laws and through strengthening accountable oversight.