Prove that you said things before anyone else Discussion | Link

Last week, Xbox boss Asha Sharma sent a memo warning of an Xbox "reset" ahead of expected layoffs, and today, Kotaku reported that Xbox plans to shut down Compulsion Games, the studio behind South of Midnight. Since taking over in February, Sharma has made some big decisions, including cutting the price of Xbox Game Pass […]

Have you ever thought about sharing data across language boundaries without serialization? This blog post highlights the challenges behind this endeavor and how they can be overcome. Note: I'm not the original author of the blog post, but since the author does not have a Reddit account, I post it on his behalf. submitted by /u/elBoberido [link] [留言]

Build AI slide decks without leaving your terminal Discussion | Link

I’m Nick, founder of Drafted ( https://www.drafted.ai ). We’re training models that generate residential architecture from structured design constraints. Product demo: https://www.youtube.com/watch?v=8QkJ7jNU9y4 Residential architecture is still one of the most expensive, slow, and inaccessible creative processes in the world. Designing a custom home typically costs $10,000–$50,000 or more, takes months, and requires making major decisions before most people can even visualize the outcome. As a

Turn your outdoor activities into a territory game. Discussion | Link

See what AI agents do inside your MCP server Discussion | Link

Remembering the ups and downs of the Intel Mac era as it finally winds down.

Will the Sun roast Earth’s plants or starve them?

Series Final. The four mechanisms covered across this series — knowledge graph, Auto Review, Self-Healing, Recurrence Prevention — plus the non-engineer-PR application that sits on top of them, all hang off a single conviction: AI isn't something to trust; it's something to design. The 'I don't trust AI to fill in the blanks for me' framing this lives inside isn't doubt about generation quality, but the clear-eyed acceptance that AI has no idea what context wasn't handed to it, and that 'ideal behavior with no spec given' is a fantasy. The starting point goes back to 2025, when I was trying to figure out how to make AI actually understand a large codebase — and ran into walls on both context window scaling (lost in the middle, attention dilution) and learning-based approaches (machine unlearning, destructive interference). GraphRAG + MCP became the way out: hand AI only the facts it needs, when it needs them, so it doesn't have to infer. From code-graph (which I burned two months on and threw away) to the current product-graph (cpg). This piece is the philosophy and the trial-and-error behind the whole series: harnesses confine where hallucinations are allowed to happen, design is translating principles into your own use cases, and Coverage 90% as a solo target breaks the implementation.