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Claude Fable ๐Ÿค–, SpaceX AI1 ๐Ÿ›ฐ๏ธ, Apple container ๐Ÿ‘จโ€๐Ÿ’ป
TLDR ยท 2026-06-10 ยท via TLDR RSS Feed

TLDR 2026-06-10

WorkOS launches auth.md - an open protocol for agent registration. (Sponsor)

Sign-up forms were built for humans in browsers, so how do AI agents programmatically register with services?

Enter auth.md. By exposing a single, machine-readable Markdown file at your service root, AI agents can dynamically discover your OAuth Protected Resource Metadata, parse required scopes, and authenticate seamlessly.

With native support in WorkOS AuthKit, you can now implement this protocol out of the box, giving AI tools a standardized, secure way to log into your application.

Read the auth.md docs

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Big Tech & Startups

Initial impressions of Claude Fable 5 (12 minute read)

Anthropic claims that Claude Fable 5 offers the same performance as Mythos 5 but with stricter guardrails. It has a 1 million token context window with 128,000 maximum output tokens. The model is priced at twice the price of the Claude Opus models at $10 per million input tokens and $50 per million output tokens. The Claude API has new mechanisms for alerting users when these guardrails are activated, and there is an option to request to fall back to another model automatically if something gets rejected.

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Science & Futuristic Technology

NASA's Next Moon Mission Is a Rube Goldberg Machine of Corporate Failure Points (3 minute read)

NASA has announced the crew for its upcoming Artemis 3 mission. The mission will require the astronauts to travel to Earth's orbit inside NASA's Orion capsule, where they'll meet and board both Blue Origin's Blue Moon lander and SpaceX's Starship in quick succession over three days. It is designed to lay the groundwork for the crewed Moon landing tentatively scheduled for 2028. NASA is confident that Blue Origin's New Glenn will be ready for the mission despite the recent explosion that dealt significant damage to the company's launch pad.

World's first wind-powered underwater datacentre starts operating in China (4 minute read)

The Shanghai Lingang undersea datacenter demonstration project is a joint effort between HiCloud Technology and China Communications Construction, a state-owned company. The datacenter, which has a capacity of 24 megawatts, is submerged 10 meters below the surface of the water. It is powered by a nearby offshore windfarm. The datacenter uses less energy compared to land-based datacenters because of the natural cooling effect that comes from being submerged in seawater.

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Programming, Design & Data Science

ktx (GitHub Repo)

ktx is an executable context layer for data and analytics agents. It allows AI agents to query data accurately and with full context. ktx is self-improving and can teach agents how to query data warehouses accurately. It learns from company knowledge, maps the data stack, builds a semantic layer, and serves agents at execution. A video explaining the tool is available in the repository.

container (GitHub Repo)

container is a tool for creating and running lightweight virtual Linux containers on Mac. It consumes and produces OCI-compatible container images and can pull and run images from any standard container registry. The tool uses the Containerization Swift package for low-level container, image, and process management.

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Miscellaneous

Apple Wins Consumer AI By Default (14 minute read)

Apple is set to win AI from a consumer perspective. The company may seem late to the AI race, but it was just doing what it has always done: watch new products and services develop and then jump in later with a better user experience. Its latest product announcements may seem underwhelming to the people living at the edge of AI, but most people don't need or even want that. Apple is set to bring AI usage mainstream with Apple Intelligence and the new Siri AI - if it is able to roll out what it showcased at WWDC.

What it feels like to work with Mythos (11 minute read)

Anthropic's Mythos-class AI model, Fable, represents a very real leap over past models. In informal experiments, it outperforms every other public model by a considerable margin. The model has guardrails that prevent it from being used for things like cybersecurity, but it can still produce impressive results from single prompts. This post looks at several examples of outputs from the model and describes what it is like working with it.

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