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<div style="display: none; max-height: 0px; overflow: hidden;">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 </div>
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<h1><strong>TLDR <span id="date">2026-06-10</span></strong></h1>
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<strong>WorkOS launches auth.md - an open protocol for agent registration. (Sponsor)</strong>
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Sign-up forms were built for humans in browsers, so how do AI agents programmatically register with services?<p></p><p>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.</p><p>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.</p><p><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fworkos.com%2Fauth-md%3Futm_source=tldr%26utm_medium=newsletter%26utm_campaign=q22026%26utm_content=cta_auth_md_docs/1/0100019eb10a0db5-006641df-d02c-406f-a394-6131b283147c-000000/RiYiapH0CyyC_9suKobbjOv9scBeTV8PNUypyL_vqzs=452" rel="noopener noreferrer nofollow" target="_blank"><span>Read the auth.md docs</span></a>
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<div style="text-align: center;"><span style="font-size: 36px;">📱</span></div></div>
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<h1><strong>Big Tech & Startups</strong></h1>
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<strong>Initial impressions of Claude Fable 5 (12 minute read)</strong>
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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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<strong>Elon Musk's first-gen orbital data center craft spans wider than a Boeing 747 and runs an interchangeable chip payload (2 minute read)</strong>
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SpaceX's AI1 satellite will have a 70-meter deployed wingspan and carry a 150 kW peak compute payload. It will have an interchangeable hardware design that will let different chipmakers supply the processors. The craft will operate at roughly 600 km. SpaceX has already filed with the FCC to launch up to a million orbital data center satellites.
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<h1><strong>Science & Futuristic Technology</strong></h1>
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<strong>NASA's Next Moon Mission Is a Rube Goldberg Machine of Corporate Failure Points (3 minute read)</strong>
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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.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.theguardian.com%2Fworld%2F2026%2Fjun%2F09%2Fworlds-first-wind-powered-underwater-datacentre-starts-operating-in-china%3Futm_source=tldrnewsletter/1/0100019eb10a0db5-006641df-d02c-406f-a394-6131b283147c-000000/WEukTXWwl8q-1MGw1uHIMVv5MdGUtBX8i5Q77W5QiCk=452">
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<strong>World's first wind-powered underwater datacentre starts operating in China (4 minute read)</strong>
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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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<div style="text-align: center;"><span style="font-size: 36px;">💻</span></div></div>
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<h1><strong>Programming, Design & Data Science</strong></h1>
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<strong>AhaCreator is reinventing influencer marketing with AI (Sponsor)</strong>
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Influencer marketing has hit a structural bottleneck. The reason? Too much of it still runs on emails, spreadsheets, and manual follow-ups. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.ahacreator.com%2F%3Futm_source=tldr06/2/0100019eb10a0db5-006641df-d02c-406f-a394-6131b283147c-000000/f5X00VEXnN2eLNsKlMv2PnBEPtEWBGCV0JfABfXvfcw=452" rel="noopener noreferrer nofollow" target="_blank"><span>AhaCreator 3.0</span></a> is the AI solution you've been waiting for: multimodal matching, instant content review, 100,000+ onboarded creators. Scale your influencer program from one-off to 500+ monthly collabs. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.ahacreator.com%2F%3Futm_source=tldr06/3/0100019eb10a0db5-006641df-d02c-406f-a394-6131b283147c-000000/Dka0zSFcTP4i8jTFDEU4berZ9iqvhP6PSjR7wcJ0c6w=452" rel="noopener noreferrer nofollow" target="_blank"><span>See the future of influencer campaigns</span></a>
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<strong>container (GitHub Repo)</strong>
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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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<strong>ktx (GitHub Repo)</strong>
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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.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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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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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.
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Test-case reducers are tools that automate the process of reducing test cases, which often makes debugging vastly easier.
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Datatype is a variable font that turns text into charts.
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A list of the smaller changes announced at WWDC.
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A lot of people who use LLMs to write have never written before, and while most perform substantial editing, they don't feel that LLMs capture their voice or ideas.
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