Tech

80 out of every 200 employees exist to manage handoffs that agents are eliminating + the coordination tax audit to find yours

Every AI workforce forecast published this year makes the same mistake. They survey roles, decompose them into tasks, assess which tasks AI can perform, and produce a percentage. The methodology is clean. The math is precise. And the answer is dramatically wrong — because it measures AI capability against an organizational structure that is about to stop existing in its current form.

You built an AI memory system. Now your agent needs hands. Here are 6 extensions that compound

The two-door principle. Why every Open Brain extension needs an agent door and a human door, and why a chat window alone will always be a keyhole into your own data.

The jagged frontier was a measurement error

The “jagged frontier” framing that shaped three years of AI strategy was never describing AI intelligence. It was describing what happens when you remove all organizational structure from the work and ask for one answer in one shot.

Executive Briefing: One solo founder just sold for $80M in 6 months. Your 50-person department is building the same thing for Q3. + the framework that explains why

Last month, a senior product manager at a company I work with resigned. She’d been there six years, consistently rated “exceeds expectations.” She was the person you wanted in the room when something was broken, the one whose instincts about customer problems were almost always right. She was also, by her own accounting, spending about 75% of her working hours on alignment meetings, cross-functional syncs, stakeholder management, and the slow process of translating her judgment into something a team of eight could execute across three time zones.

How to use the new ChatGPT app integrations, including DoorDash, Spotify, Uber, and others

Learn how to use Spotify, Canva, Figma, Expedia, and other apps directly in ChatGPT.

Rise of Model Context Protocol in the Agentic Era

We have all heard about model context protocol (MCP) in the context of artificial intelligence. In this article, we will dive into what MCP is and why it is becoming more important by the day. When APIs are already available then why do we need MCP? Although we have seen a large rise in popularity of MCP, is there staying power in this new protocol? In the first section, we will look at the parallels between APIs and MCP and then start to explore what sets it apart.

Staff complain that xAI is flailing because of constant upheaval

Staff complain that the constant upheaval is destroying morale.

NASA officials sidestepped questions on Artemis II risks—there's a reason why

“This ought to make for some good reading,” NASA’s mission management team chair said.

'Not built right the first time' -- Musk's xAI is starting over again, again

The AI lab is revamping its effort to build an AI coding tool, with two new executives joining from Cursor.

Lawyer behind AI psychosis cases warns of mass casualty risks

AI chatbots have been linked to suicides for years. Now one lawyer says they are showing up in mass casualty cases too, and the technology is moving faster than the safeguards.

Adobe CEO Shantanu Narayen on Photoshop, PDFs, and the AI future

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Adobe abandons $20 billion acquisition of Figma

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