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AWS: Inaccurate Estimated Billing Data – $1.7 billion

URL already posted: https://health.aws.amazon.com/health/status I've got an estimated bill for $1.7 BILLION over this month. Normal usage is < $5. Obvs have created an urgent AWS support ticket. Anyone else seeing something like this? Update: Reddit link: https://www.reddit.com/r/aws/comments/1uyuaw7/help_my_bill_s...

2026-07-17 原文 →
AI 资讯

Ask HN: Do you say please and thank you to your LLMs?

This is an orthogonal question to whether LLMs have qualia (almost certainly no) and to the question of whether any hypothetical qualia would be in any way correlated with word choice (also almost certainly no), as opposed to mechanistic factors such as runtime and memory access patterns.

2026-07-17 原文 →
AI 资讯

The Advisory Said It Was Fixed. I Didn't Believe It Until I Broke It Myself.

Update: This investigation spawned a complete stress-testing toolkit. See the apktool-diagnostics repo for the full tool with security scanning, round-trip validation, and fuzzing setup. The Setup I was deep into a project stress-testing apktool — the standard tool for decompiling and rebuilding Android APKs — hunting for real bugs to fix, not hypothetical ones. While digging through recent issues and advisories, I ran across a patched vulnerability: CVE-2026-39973 , a path traversal bug that let a malicious resources.arsc make apktool write decoded files outside the intended output directory. Already fixed upstream. Advisory published. Case closed, according to everyone else. I didn't believe it until I broke it myself. Why "already patched" wasn't good enough Advisories describe what should happen. They don't prove it. And a tool like apktool has one job that matters more than any other: you point it at a file you don't trust — someone else's APK — and it processes that file on your machine. If the sanitization it depends on for that trust boundary can silently regress in a refactor (which is exactly what happened here — a PR reorganizing resource-file-path construction dropped the call to BrutIO.detectPossibleDirectoryTraversal() without anyone noticing), then "patched now" only tells you about today. It doesn't tell you the mechanism actually holds, and it doesn't tell you what "vulnerable" concretely looks like on your own machine, with your own files. So instead of writing "confirmed CVE-2026-39973, see upstream fix" and moving on, I decided to reproduce it myself, end to end. Building both sides of the fence Step one: build apktool twice from source — once at v3.0.1 (the last vulnerable tag), once at current HEAD (post-fix). Now I had a vulnerable binary and a patched binary sitting side by side, and no more reason to trust anyone's summary of what the difference actually did. Step two: I needed a malicious input. The vulnerability lived in how ResFileDecoder

2026-07-17 原文 →
AI 资讯

Where Do Rich People Store Their Crypto?

Retail investors hold digital coins on standard mobile apps. They also use basic physical hardware devices. These devices protect small amounts of money perfectly well. Things change entirely when an account holds fifty million dollars. A single hardware device creates a huge physical weakness. A home invader can force an investor to hand over the pin code. This makes the underlying computer math completely useless. Wealthy investors skip this physical risk entirely. They divide control across different global regions. They ensure no single person can approve a money transfer alone. When you ask where do rich people store their crypto, the answer is never a single app. The answer is a shared digital network. This guide explains exactly how ultra-high net worth crypto management works. We break down shared vaults. We look at the exact differences between multiple signatures and mathematical key splitting. We also cover the severe technical failures that retail investors ignore completely. Table of Contents The Core Strategy for Whale Wallet Management Why Standard Hardware Wallets Fail at Scale How Asset Transfers Actually Work for Whales The Multisig Boardroom Approach The Multi Party Computation Breakthrough The Fragmented Lens Analogy The Firmware Desync Edge Case Inside the Air Gapped Fortress The Rise of Institutional Crypto Custodians Segregated Accounts Versus Omnibus Pools Constructing a Family Office Security Standard Handling Succession and Inheritance Planning Physical Threats and Bunker Security Network Fees and Trading Execution for Whales The Institutional Blockchain Storage Comparison The Three Point Technical Audit for Large Vaults The Bottom Line The Core Strategy for Whale Wallet Management Rich people store their crypto by using qualified institutional custodians, multi-signature (multisig) wallets, and Multi-Party Computation (MPC) systems. Instead of leaving large funds on regular exchanges, wealthy investors split their cryptographic private key

2026-07-17 原文 →