OpenAI plans to start mass production of its 'AI agent phone' as early as the first half of next year. The device will feature an image signal processor that improves real-world sensing and two AI processors for handling different tasks. The company is also reportedly developing smart glasses, a smart lamp, and potentially earbuds. The device lineup puts OpenAI in direct hardware competition against several Apple product lines.

Apple will allow users to select from multiple third-party AI providers to power features across its software. The change will be implemented in iOS 27, iPadOS 27, and macOS 27 this fall. Apple is looking to make it easy for customers to find a wide range of options on its devices rather than building the best AI software or services. The shift will give users more flexibility and benefit partners like Google and Anthropic.

Endurance is an uncrewed lander funded by Blue Origin to advance Human Landing System capabilities in support of NASA's Artemis program. It will demonstrate precision landing, cryogenic propulsion, and autonomous guidance, navigation, and control capabilities in support of future lunar surface operations. Endurance will carry two NASA science and technology payloads under the Commercial Lunar Payload Services initiative to the lunar South Pole region this year. It was developed under a public-private partnership model, with Blue Origin conducting work through a reimbursable Space Act Agreement.

A few months ago, a company released a video showing how it grew neurons in a lab and got them to play DOOM. The scientists fed visual data to the neurons, which reacted to that data in some way to play the game. This could mean that the company built a human biocomputer and then put it into a simulated hell, playing the same game on a loop. While it was 'just a science experiment', the biocomputer had more neurons than a jellyfish or a worm. There's a large commercial incentive to continue developing the technology, but the ethical implications are still unclear.

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Provide good context, encode your taste as config, make verification easy, delegate bigger tasks, and close the loop. Every finished artifact becomes context for the next session, and each correction updates a config that reduces future errors. These practices aren't specific to AI - it's how you onboard and work with any new collaborator.

At the frontier, it's not clear that spending on tokens produces any economic value at all. The bottleneck at that level is tastemakers. The taste to delete, compress, and refuse is more valuable now that the floor is rising. AI makes it possible for anyone to create generic products, but it won't help the highest-level artisans create better products.

Cognitive surrender is when AI output quietly becomes your output and you feel there is nothing left to check. Cognitive offloading is delegating to AI but still owning the answer. Most software engineers move between the two, but they cross the line without noticing. They are borrowing the AI's confidence and treating it as their own.

Coinbase is firing around 14% of its employees. While the company is well capitalized, has diversified revenue streams, and is well-positioned to weather any storm, the business is still volatile from quarter to quarter. The market is currently down, so the company needs to adjust its cost structure. The downsizing will allow Coinbase to emerge from this period leaner, faster, and more efficient for its next phase of growth.

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Amazon consistently makes real-world investments at a massive scale that convert its marginal costs into capital costs, and then gains leverage on those capital costs by selling them to other businesses.

The new Instant model is designed to produce clearer, shorter, and more accurate answers than previous models.

A big part of software engineering is now communicating with an alien technology we don't - and can't - fully understand.

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Access to frontier intelligence can be rented, but operational control and organizational learning can not.

Subquadratic claims its first model reduces attention compute by almost 1,000 times compared to other frontier models due to its fully subquadratic architecture, where compute grows linearly with context length.

This post contains a lightly edited excerpt from a panel discussion on how companies like Microsoft, 1Password, and Atlassian are adapting to the impact AI is having now and in the future.