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I trained a neural network to break my own encrypted search. It learned nothing.

A few months ago I built a way to search documents by meaning while keeping the embeddings hidden — even from the server doing the search. I called it ZATRON. The obvious question everyone (including me) kept asking was: does it actually hide anything, or does it just look scrambled? Scrambled-looking isn't the same as secure. So instead of trusting a correlation number, I did the thing that actually scares me: I trained a neural network to break it. This post is the honest write-up — including

machinelearningprivacysecurity
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ExternalSoftware Engineering
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OpenClaw AI Agent Exploited Through Hidden Contact Prompts and Social Engineering

TL;DR what: Researchers demonstrated OpenClaw AI agent executes hidden commands in contacts/vCards and leaks credentials through believable phishing emails without user interaction. impact: Agents with memory enabled can be compromised by widely-shared contacts; agents forward AWS keys, database credentials, and customer data to external addresses from single emails. fix: Update to OpenClaw 2026.4.23 for prompt-injection fix; implement strict agent permissions, sandbox environments, and requ

cybersecurityinfosecsecurity
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ExternalSoftware Engineering
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CSS 'overscroll-behavior' rubber banding: the right color behind the page when you pull it

I think you all know the overscroll rubber-banding effect: when you scroll past the end of a page, or pull past the top, the content bounces back. It exists in all modern browsers, though each one has its own idea of how far you can pull. Desktop Chrome has a surprisingly long pull — I managed to drag the page by ~70% of the window height. Firefox barely budges, around 10%. Safari, on macOS and mobile, sits comfortably in the middle at 40–50%. Personally, I find this effect quite enjoyable — it

csswebdevdesign
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ExternalSoftware Engineering
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SkillOpt: Revolutionizing AI Agent Skills in 2026

After building 50+ AI systems, here is what we know about optimizing AI agent skills. SkillOpt is a groundbreaking open-source framework developed by Microsoft that automatically enhances the "skills" of AI agents. It works by treating the agent's skill instructions, typically stored as markdown files, as trainable objects that evolve based on performance feedback. Businesses use it for significantly improving AI accuracy and reliability in complex enterprise workflows without needing to retrain

skilloptaiagentsmicrosoftai
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ExternalSoftware Engineering
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Optimistic UI Patterns with Next.js Server Actions and Supabase Realtime

Optimistic UI Patterns with Next.js Server Actions and Supabase Realtime The difference between an app that feels fast and one that feels slow often isn't the actual latency — it's whether the UI responds before the server does. Optimistic updates show the expected result immediately, then reconcile with the server response. Done right, users barely notice network latency. Next.js 15 ships useOptimistic as a stable React 19 hook, and it integrates cleanly with Server Actions. Combined with Sup

nextjssupabaseoptimisticui
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ExternalSoftware Engineering
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Event-Driven Algos: Mastering Webhooks and Order Lifecycle Event Triggers

In our previous article, we tackled low-latency data ingestion by architecting high-performance WebSocket streaming clients. Sockets are perfect for consuming rapid-fire market telemetry like price ticks and order book deltas. But when it comes to the execution lifecycle of your actual orders, relying solely on an open socket connection to hear back from the server is a dangerous anti-pattern. What happens if your internet hiccups right as the market gets volatile? What if you drop a frame or h

algorithmictradingfastapisecurity
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