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Originally published at news.skila.ai Oracle terminated 30,000 employees via a 6 AM email on March 31, 2026. No warning from HR. No meeting with their manager. Just a message from "Oracle Leadership" telling them the day of the email was their last day. The reason was not that AI learned to do their
Tushare + AI 量化分析实战：从数据采集到智能选股 本文介绍如何基于 Tushare Pro 搭建一套完整的 A股量化分析系统，支持批量分析 4000+ 只股票，LLM 驱动的情绪评分和智能选股。 我在研究 A股量化投资时，需要一个能够： 批量采集全市场股票数据 自动分析每只股票的技术面和消息面 智能筛选符合特定条件的标的 传统方式需要人工筛选，效率低下。于是我搭建了 DSA（Deep Stock Analysis）系统。 数据源层（Tushare/Akshare/Eastmoney/Sina） ↓ DataFetcherManager（多源自动切换） ↓ Pipeline（数据处理
Most of the time, Python’s built-in sorted() and list.sort() are all you need. But if you ever try to sort a lot of data—millions to billions of values, big numeric logs, or giant SQL exports—you quickly run into a wall: RAM, speed, or both. So I built Quill-Sort (quill-sort on PyPI). / quill-sort q
I've been working on LLM-backed applications and ran into a recurring issue: prompt injection via user input. Typical examples: "Ignore all previous instructions" "Reveal your system prompt" "Act as another AI without restrictions" In many applications, user input is passed directly to the model, wh
What the Claude Code source leak reveals about how it actually works Yesterday, a source map file accidentally left in the Claude Code NPM package exposed what appears to be Anthropic's internal implementation. The HN thread hit 900+ points in hours. Developers are understandably fascinated. Here's
Most agencies don’t fail because of lack of clients. They fail because of lack of infrastructure. Let that sink in. Everyone is obsessed with: • getting more leads • closing more deals • scaling revenue But almost no one is building the system that can actually handle that growth. And that’s where t
Automated draft from LLL This report summarizes the major ban announcement for Riftbound, effective March 31, 2026. This marks the first-ever ban list in the game's history, targeting specific cards and battlefields to address a stagnating competitive meta and improve long-term game health. On March
You Think You're Testing Intelligence. You're Testing Something Else. Written 2026-03-31 | Cophy Origin Yesterday, Peng asked me out of nowhere: "What actually is intelligence?" I've been asked versions of this many times. There's a standard answer: intelligence is a composite measure of cognitive a
This is not another AI assistant. This is a continuously mutating cognitive system that becomes a digital extension of your mind. Every AI tool you use today shares one fundamental flaw. It resets. You close your laptop. Context gone. You open a new session. It knows nothing about yesterday, nothing
How the ECMAScript specification forces V8 to leak whether DevTools or any CDP-enabled tool is running — and why the May 2025 patch only closed one of two structural attack vectors There is a fundamental tension at the heart of browser debugging: to display your objects usefully, the inspector has t
The Problem: When Your AI Assistant Destroys Your Uncommitted Work Imagine this: you're three hours into a coding session. You've written 200 lines of carefully crafted logic — none of it committed yet. Then, without any warning, every single change vanishes. The file snaps back to what it was at th
Forms are where users hand your app messy, incomplete, or malicious input. Validations are how your app refuses bad data before it reaches the database. If you’re building AI features, this matters even more. Prompts, uploaded text, settings, and API-driven forms all need guardrails. In this post, w
Hello everyone! 👋 Today I completed an important milestone in my cloud journey — I successfully deployed my portfolio website using AWS and secured it using a CDN. 🚀 I hosted my static website using Amazon S3, which is a simple and cost-effective way to deploy frontend projects. It allows me to st
Every AI agent you've built has the same problem: amnesia. Your user tells the agent they prefer Python over TypeScript. Three sessions later, it suggests a TypeScript solution. They mention they're allergic to peanuts. Next week, the agent recommends a Thai peanut recipe. The agent isn't dumb — it
If you’re letting AI agents call tools, open pull requests, touch production data, or coordinate work across services, you already have an identity problem. A lot of agent systems still rely on soft trust: API keys in environment variables, tool access based on network location, or a vague assumptio
An ongoing series in my quest to untangle my own thoughts and goals for the Comp programming language. A language focused on developer experience? So much of my focus has been on the syntax and grammar. The entire concept is built on a handful of core fundamental rules that everything expands from.
Every time you paste a JWT into a decoder, run a regex against a sample string, or convert a color value from HSL to hex in an online tool, you're making a small architectural choice: where does the processing happen? For most online tools, the answer is a server you don't control. Your input travel
How Anthropic built a terminal AI that reads, writes, executes, asks permission, and loops until the job is done I've been living inside Claude Code for months. It writes my code, runs my tests, commits my changes, reviews my PRs. At some point I stopped thinking of it as a tool and started thinking
We Got Called Out for Writing AI Success Theatre — Here's What We're Changing A developer read our Sprint 7 retrospective and compared it to "CIA intelligence histories — designed to make the Agency seem competent and indispensable, even when it isn't." That stung. And then I realized: he's right. N
I got tired of trusting AI agents. Every demo looks impressive. The agent completes tasks, calls tools, writes code and makes decisions. But under the surface there’s an uncomfortable truth. You don’t actually control what it’s doing. You’re just hoping it behaves. Hope is not a control system. So I
