SpaceX raised $75 billion in its IPO. The IPO, the biggest so far, drew demand more than four times the available shares. SpaceX's shares will debut on the Nasdaq and Nasdaq Texas on Friday. A successful showing in the public markets could tip the scales and make Elon Musk a trillionaire.

Jeff Bezos' new startup, Prometheus, intends to create new engineering tools to improve the design and manufacture of practically any device. It aims to improve the efficiency of companies that design and build computers, automobiles, spacecraft, and other physical products. The tools it will create will accelerate the invention loop. The work done at Prometheus could benefit Bezos' other companies.

NASA's Deep Space Network couldn't keep up with the routine demands of its science missions during the Artemis I mission nearly four years ago. The network reduced or delayed downlinks from several high-profile science missions. As a result, NASA put in new processes focused around coordination and scheduling. This produced better results during Artemis II, which had an even higher data requirement than the previous mission, but the limitations of the network and high demand continue to be an issue.

The Familiar is a soft, furry robot about the size of a dog created by Familiar Machines & Magic, a company started by Colin Angle, the creator of the Roomba. It uses AI to communicate and form intimate bonds with members of the household. The robot is designed to capture presence, not attention: it has no advertising model, engagement-driven feed, or incentive structure that rewards maximizing screen time or interaction time. While the Familiar can connect to the internet, by default, it will not send any data to the cloud and it will ask permission before accessing anything online.

Learn how to govern non-deterministic architectures, consolidate tooling, and ship AI-native apps fast without hurting reliability. All in one morning. New Relic's NOW 2026 showcases exclusive data on AI generated code, how to wire observability into your AI development cycle, and a close look at the costs of AI in prod. Save your spot

Earlier models needed custom tools and everything spelled out to work. Today's models can absorb a ton of context and reason over raw data without choking. Bigger context windows tempt people to throw in more data, but noise causes accuracy to drop. Increase accuracy by building context like a memory hierarchy.

The most significant changes in Homebrew 6.0.0 are a new tap trust security mechanism, a new default internal Homebrew JSON API, sandboxing in Linux, better defaults, many 'brew bundle' improvements, improved performance, and initial support for macOS 27. Homebrew now requires taps to be explicitly trusted before code is evaluated or run, reducing the risk from malicious or compromised taps. All the details about what's changed since Homebrew 5.1.0 are available in the article.

Scott Alexander is a doctor on the US West Coast. He is currently working on new models for mental health care at Lorien Psychiatry. This post contains his thoughts on AI timelines, AI safety, geopolitics, and more.

Writing code was never the bottleneck in software development. Developers spend surprisingly little time coding, and studies have found that using agents to write code has led to little impact on overall productivity. The real bottlenecks are deciding and specifying what to build, verifying and being accountable for what is delivered, and the deep human understanding required to carry out both. AI doesn't make the 'decide' layer thinner - once a decision can be delegated to AI, it is no longer a source of competitive advantage - and humans still need to be accountable for what they deliver.

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Waymo Premier subscribers will get prioritized matching, up to five free cancellations per month, and 10% back in loyalty credits for each trip.

Setting your phone to greyscale can help significantly reduce screen time.

DeltaDB is a version control system built on a single coherent abstraction that transforms conversations with agents and the worktrees they edit into shared artifacts.

Customer deliveries of the highly anticipated Rivian R2 started this month.

Terrence Tao didn't think AI would replace human mathematicians any time soon, but he thought the technology was well-suited to helping solve mathematical problems that could be broken into thousands of small, manageable subproblems.

Performance at tech companies is dominated by outlier work, so instead of grinding at 100% effort all the time, save some energy and time and use it to find these opportunities.