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<div style="display: none; max-height: 0px; overflow: hidden;">A configuration error in Anthropic's content management system exposed a draft blog post describing a new model called Claude Mythos </div>
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<h1><strong>TLDR <span id="date">2026-03-30</span></strong></h1>
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A configuration error in Anthropic's content management system exposed a draft blog post describing a new model called Claude Mythos. The model is reportedly larger and more intelligent than the Opus models. The draft warns that the model poses unprecedented cybersecurity risks as it is far ahead of any other AI model in cyber capabilities. Mythos is extremely compute-intensive and expensive to serve - Anthropic is working on making it much more efficient before any general release.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fsimonwillison.net%2F2026%2FMar%2F29%2Fpretext%2F%3Futm_source=tldrnewsletter/1/0100019d3e414444-48bdd11c-6aa7-4df3-8fb4-3bcc102fe433-000000/S0xS97H7Ogxmbqst6PfP3ZitKBpdDILOvi3sYzaU75M=450">
<span>
<strong>Pretext (4 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Pretext is a browser library that solves the problem of calculating the height of a paragraph of line-wrapped text without touching the DOM. It uses a clever array of tricks to make the process faster and enable all sorts of new text rendering effects. Pretext supports all languages, including Korean mixed with RTL Arabic and platform-specific emojis. A demo is available in the article.
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<strong>How To Solve Problems Of Long Running, Autonomous Agentic Engineering Workflows (11 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
All harness design is to overcome the problems of agents either becoming lazy and cutting corners or being confused and stupid. For most people, starting with a vanilla startup using native features will be good enough. However, a custom agent will allow users to create new workflows that directly address all the ways agents fail in more specific contexts. This article describes all of the problems developers likely face when using agents in long-running autonomous projects so that they can better put these problems into words when creating custom harnesses.
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<div style="text-align: center;"><span style="font-size: 36px;">🎁</span></div></div>
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdanielmiessler.com%2Fblog%2Fthe-most-important-ideas-in-ai%3Futm_source=tldrnewsletter/1/0100019d3e414444-48bdd11c-6aa7-4df3-8fb4-3bcc102fe433-000000/zs-pSR4jMzTcq0Wm2b2w8_wD1HSyimySdUL7H_SgmkM=450">
<span>
<strong>The Most Important Ideas in AI Right Now (11 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
The most important ideas in AI right now are autonomous component improvement, the transition to intent-based engineering, the move from opacity to transparency, the realization that most work is scaffolding, and the idea that expertise gets diffused into public knowledge. The speed of improvement in many fields is about to accelerate beyond anything we've ever seen. The new bottleneck is being able to say what you actually want. Every organization is going to converge on the same cycle: define what you're trying to do, execute with agents, log everything, collect failures, and let the system improve itself.
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<strong>Buying DeepMind (14 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Google bought DeepMind for $650 million at the end of January 2014. It poured billions into DeepMind's research, but it took a decade for the quest for superintelligence to go into overdrive. This article tells the inside story of how Google ended up purchasing the startup and the specific terms of the final deal.
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<div style="text-align: center;"><span style="font-size: 36px;">⚡</span></div></div>
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<h1><strong>Quick Links</strong></h1>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetalbear.com%2Fmirrord%2Fai-agents%2F%3Futm_source=tldrdevops%26utm_medium=tldrnewsletter%26utm_campaign=ql-20260330%26utm_content=std/1/0100019d3e414444-48bdd11c-6aa7-4df3-8fb4-3bcc102fe433-000000/tfiVtXS7ZWwL7RSp4B5XHEgaEX9qyp29iJABXm9FrRw=450">
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<strong>mirrord — Give AI coding agents real-world context so they write working code, not guesswork (Sponsor)</strong>
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Your AI agents are fast but flying blind. mirrord connects them to real API responses, database state, and queue payloads so every change gets tested against actual staging. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fmetalbear.com%2Fmirrord%2Fai-agents%2F%3Futm_source=tldrdevops%26utm_medium=tldrnewsletter%26utm_campaign=ql-20260330%26utm_content=std/2/0100019d3e414444-48bdd11c-6aa7-4df3-8fb4-3bcc102fe433-000000/zro0yvIK-rzPoRx9tEea7xG21f1OTEj8CmPAJB1iBug=450" rel="noopener noreferrer nofollow" target="_blank"><span>See how monday.com cut dev cycle time by 70%.</span></a>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdanielmiessler.com%2Fblog%2Fai-unmasked-our-work-as-scaffolding%3Futm_source=tldrnewsletter/1/0100019d3e414444-48bdd11c-6aa7-4df3-8fb4-3bcc102fe433-000000/CQWOMg_QDAM61VppY0PQ_fIRaONGE8j-m8qxtAw0n5Y=450">
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<strong>AI Unmasked Our Work as Scaffolding (3 minute read)</strong>
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</a>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
AIs with Agent Skills can execute tasks as good or better than most people who do that work professionally.
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<strong>Stop holding out hope, Liquid Glass will be mandatory in iOS 27 (2 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Apple has made it clear that Liquid Glass is absolutely moving forward, evolving, and expanding across the ecosystem.
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<strong>jsongrep is faster than {jq, jmespath, jsonpath-rust, jql} (17 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
jsongrep takes a query and a JSON input and prints every value whose path through the document matches the query.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fblog.colinbreck.com%2Foperational-benefits-of-databases-built-on-object-storage%2F%3Futm_source=tldrnewsletter/1/0100019d3e414444-48bdd11c-6aa7-4df3-8fb4-3bcc102fe433-000000/xUihSW8axpT2Ix4V7-ANkaL8MNgGcuM6ZskgxJOYV1E=450">
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<strong>Operational Benefits of Databases Built on Object Storage (3 minute read)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Object storage is cost-effective, and the independence of compute from storage allows flexible scaling of compute resources.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fjohnjwang.com%2Fpost%2F2026%2F03%2F27%2Fwhy-are-executives-enabled-with-ai-but-ics-arent%2F%3Futm_source=tldrnewsletter/1/0100019d3e414444-48bdd11c-6aa7-4df3-8fb4-3bcc102fe433-000000/cLvg81wNnR-RcrI8RZStAVNY9alkiCk_Nofdkf-tfA8=450">
<span>
<strong>Why are executives enamored with AI but ICs aren't? (4 minute read)</strong>
</span>
</a>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
Executives built their careers around managing non-deterministic systems, while ICs operate in a more deterministic world and are evaluated on their ability to deliver precise, reliable output.
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<span>
<strong>pgmicro (GitHub Repo)</strong>
</span>
</a>
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<br>
<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
pgmicro is an in-process reimplementation of PostgreSQL that is backed by a SQLite-compatible storage engine.
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