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  Claude Mythos: The AI That Saw Everything Inside Project Glasswing — how Anthropic's Claude Mythos was turned loose on the world's most critical codebases, and what happened when the bug list started scrolling #ClaudeMythos   #ProjectGlasswing   #Security This is a Tech-Reader AI Digest Special Edition. The opening scene is a composite drawn from public accounts of Project Glasswing sessions. The room goes quiet before anyone says a word. It is a conference room somewhere inside a major technology company — a company whose name you would recognize instantly. The engineers and their managers have been granted something extraordinary: controlled access to Claude Mythos, Anthropic's most powerful AI model, a system so capable that Anthropic refused to release it publicly. The team has fed Mythos a portion of their codebase. Now the results are coming back on screen. Nobody is ready for what they are seeing. The list scrolls. And scrolls. Vulnerabilities — not theoretical, ...

  Tech-Reader AI Digest Friday, May 22, 2026 #AI   #TechNews   #Digest Story 1: Project Glasswing — Mythos Has Found 10,000 Critical Vulnerabilities in One Month What happened:  Anthropic published its first progress report on Project Glasswing today — and the numbers it contains are unlike anything previously reported in cybersecurity history. In one month, Anthropic and approximately 50 partners have used Claude Mythos Preview to find more than  10,000 high- or critical-severity vulnerabilities  across the most systemically important software in the world. Cloudflare alone found  2,000 bugs  — 400 of them high or critical severity — across its critical-path systems, with a false positive rate that Cloudflare's team considers better than human testers. Mozilla found and fixed  271 vulnerabilities  in Firefox 150 while testing Mythos Preview — more than ten times the number found in Firefox 148 using Claude Opus 4.6. The open-source scan...

  The Tech-Reader AI Digest Thursday, May 21, 2026 #AI   #TechNews   #Digest Story 1: SpaceX Files for IPO — $80 Billion, $1.75 Trillion Valuation, AI Infrastructure Dominates S-1 What happened:  SpaceX filed publicly for its initial public offering Wednesday night, targeting a Nasdaq listing under the ticker symbol SPCX. SpaceX is seeking to raise up to $80 billion at a valuation of around $1.75 to $2 trillion — by far the largest IPO in history, surpassing Saudi Aramco's $29 billion raise in 2019. The financials disclosed for the first time: SpaceX reported 2025 revenue of $18.7 billion, up 33% year-over-year, driven primarily by Starlink. The filing also revealed a $4.3 billion net loss in Q1 2026 — compared to $528 million in the year-ago quarter — driven by the merger with xAI, on which SpaceX spent $20.7 billion last year. As of March 31, SpaceX has accumulated a total deficit of $41.3 billion. The governance structure is explicit. Musk holds 85% of the voting ...

  The Secret Life of JavaScript: The Intersection Observer API Getting a smooth infinite scroll by eliminating layout thrashing #JavaScript   #IntersectionObserver   #WebPerformance   #Frontend Margaret is a senior software engineer. Timothy is her junior colleague. They work in a grand Victorian library in London — the kind of place where code quality is the unspoken objective, and craftsmanship is the only thing that matters. Episode 37 The Laggy Scroll Animation Timothy stared as his browser tab froze, the fan on his development laptop spinning up to a frantic whine. His NDJSON streaming engine from Volume 31 was working perfectly, successfully pulling 100,000 user records from the database without a single byte of memory bloat on the network layer. But the moment he tried to inject those 100,000 records into the DOM all at once, the browser’s rendering engine ground to a screeching halt. "The streaming data pipeline is lightning fast," Timothy explained to Margar...

  Agentic AI Has a Long Way To Go Before It Can Book Your Flight It's smart enough to find your flight. But not secure enough to book it. #AgenticAI   #AISearch   #GoogleIO This is a Tech-Reader AI Digest Special Edition. There is a kind of exhaustion that accumulates invisibly. You do not notice it at the airport gate or in the moment you finally click "confirm purchase." But it was there all along — in the thirty-seven browser tabs, the comparison sites that compared the comparison sites, the Reddit thread from 2019 that might still be accurate, the airline's own website with its deliberately confusing fare class designations. Somewhere between the first search and the final booking, you became your own travel agent. Nobody paid you for it. For most of the internet's commercial life, this was simply the deal. Google found things. You decided what to do with them. The machine handled retrieval; the human handled judgment, navigation, and the maddening last mile o...