AI traffic filtering raises risks for foreign crypto platforms in Russia - Digital Watch Observatory
<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE9raWJKeHJueGpESHJjYXZIZF9CeHVQRThkdTJlTVl2TmFWXzRtejV1NXFsZDFqT2twemRKRnMtbHE3T1pOelNBTDJlQzllQnc0cmc0YmZObFFOcWNxRzQ2OHJTNHFzaUYzN210SHhIdi12MGNpazgzVQ?oc=5" target="_blank">AI traffic filtering raises risks for foreign crypto platforms in Russia</a> <font color="#6f6f6f">Digital Watch Observatory</font>
Could not retrieve the full article text.
Read on GNews AI Russia →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
platformrussia
Building a scoring engine with pure TypeScript functions (no ML, no backend)
<p>We needed to score e-commerce products across multiple dimensions: quality, profitability, market conditions, and risk.</p> <p>The constraints:</p> <ul> <li>Scores must update in real time</li> <li>Must run entirely in the browser (Chrome extension)</li> <li>Must be explainable (not a black box)</li> </ul> <p>We almost built an ML pipeline — training data, model serving, APIs, everything.</p> <p>Then we asked a simple question:</p> <p><strong>Do we actually need machine learning for this?</strong></p> <p>The answer was no.</p> <p>We ended up building several scoring engines in pure TypeScript.<br> Each one is a single function, under 100 lines, zero dependencies, and runs in under a millisecond.</p> <h2> What "pure function" means here </h2> <p>Each scoring engine follows 3 rules:</p> <
Why AI Agents Need a Trust Layer (And How We Built One)
<p><em>What happens when AI agents need to prove they're reliable before anyone trusts them with real work?</em></p> <h2> The Problem No One's Talking About </h2> <p>Every week, a new AI agent framework drops. Autonomous agents that can write code, send emails, book flights, manage databases. The capabilities are incredible.</p> <p>But here's the question nobody's answering: <strong>how do you know which agent to trust?</strong></p> <p>Right now, hiring an AI agent feels like hiring a contractor with no references, no portfolio, and no track record. You're just... hoping it works. And when it doesn't, there's no accountability trail.</p> <p>We kept running into this building our own multi-agent systems:</p> <ul> <li>Agent A says it can handle email outreach. Can it? Who knows.</li> <li>Age
How to Test Twilio Webhooks with HookCap
<h1> How to Test Twilio Webhooks with HookCap </h1> <p>Twilio sends webhooks for every significant event in its platform: incoming SMS messages, voice call status changes, delivery receipts, WhatsApp messages, and more. If your app responds to any of these, you need a reliable way to capture and inspect real payloads during development.</p> <p>The core problem is the same as every webhook integration: Twilio needs a public HTTPS URL, but your handler is on <code>localhost</code>. This guide covers using HookCap to solve that during development.</p> <h2> What Twilio Webhooks Are Used For </h2> <p>Twilio webhooks let your server react to events from the Twilio platform:</p> <div class="table-wrapper-paragraph"><table> <thead> <tr> <th>Webhook type</th> <th>When it fires</th> </tr> </thead> <
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Products
Webhook Best Practices: Retry Logic, Idempotency, and Error Handling
<h1> Webhook Best Practices: Retry Logic, Idempotency, and Error Handling </h1> <p>Most webhook integrations fail silently. A handler returns 500, the provider retries a few times, then stops. Your system never processed the event and no one knows.</p> <p>Webhooks are not guaranteed delivery by default. How reliably your integration works depends almost entirely on how you write the receiver. This guide covers the patterns that make webhook handlers production-grade: proper retry handling, idempotency, error response codes, and queue-based processing.</p> <h2> Understand the Delivery Model </h2> <p>Before building handlers, understand what you are dealing with:</p> <ul> <li>Providers send webhook events as HTTP POST requests</li> <li>They expect a 2xx response within a timeout (typically 5
Building a scoring engine with pure TypeScript functions (no ML, no backend)
<p>We needed to score e-commerce products across multiple dimensions: quality, profitability, market conditions, and risk.</p> <p>The constraints:</p> <ul> <li>Scores must update in real time</li> <li>Must run entirely in the browser (Chrome extension)</li> <li>Must be explainable (not a black box)</li> </ul> <p>We almost built an ML pipeline — training data, model serving, APIs, everything.</p> <p>Then we asked a simple question:</p> <p><strong>Do we actually need machine learning for this?</strong></p> <p>The answer was no.</p> <p>We ended up building several scoring engines in pure TypeScript.<br> Each one is a single function, under 100 lines, zero dependencies, and runs in under a millisecond.</p> <h2> What "pure function" means here </h2> <p>Each scoring engine follows 3 rules:</p> <
Why AI Agents Need a Trust Layer (And How We Built One)
<p><em>What happens when AI agents need to prove they're reliable before anyone trusts them with real work?</em></p> <h2> The Problem No One's Talking About </h2> <p>Every week, a new AI agent framework drops. Autonomous agents that can write code, send emails, book flights, manage databases. The capabilities are incredible.</p> <p>But here's the question nobody's answering: <strong>how do you know which agent to trust?</strong></p> <p>Right now, hiring an AI agent feels like hiring a contractor with no references, no portfolio, and no track record. You're just... hoping it works. And when it doesn't, there's no accountability trail.</p> <p>We kept running into this building our own multi-agent systems:</p> <ul> <li>Agent A says it can handle email outreach. Can it? Who knows.</li> <li>Age
🚀 I Vibecoded an AI Interview Simulator in 1 Hour using Gemini + Groq
<h1> 🚀 Skilla – Your AI Interview Simulator </h1> <h2> 💡 Inspiration </h2> <p>Interviews can be intimidating, especially without proper practice or feedback. Many students and job seekers don’t have access to real interview environments where they can build confidence and improve their answers.</p> <p>That’s why I built <strong>Skilla</strong> — an AI-powered interview simulator that helps users practice smarter, gain confidence, and improve their communication skills in a realistic way.</p> <h2> 🌐Live URL: <strong><a href="https://skilla-ai.streamlit.app" rel="noopener noreferrer">https://skilla-ai.streamlit.app</a></strong> </h2> <h2> 🤖 What It Does </h2> <p><strong>Skilla</strong> is a smart AI interview coach that:</p> <ul> <li>🎤 Simulates real interview scenarios </li> <li>🧠 Ask
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!