标签：#us

Getting the future right is now big business. But at a festival in Berkeley, forecasters worry that sports markets could take the whole industry down.

Most cloud systems make one authorization decision at login. Everything after runs on trust established at authentication time. For systems handling regulated data, that gap is where breaches happen. This article presents a continuous authorization architecture covering risk-tiered evaluation, behavioral baselines, privacy-preserving audit trails, and a phased and incremental rollout. By Venkata Nedunoori

GitLab 19.0 extends agentic AI beyond code generation into securing credentials, reviewing and merging changes, and scanning dependencies, adding a public beta Secrets Manager, a full merge request Developer Flow, usage-based GitLab Duo billing, and generally available SBOM dependency scanning. By Mark Silvester

TL;DR Welcome back to Dev Opportunity Radar. This is a weekly series where I share opportunities,...

ClickHouse HTTP API: A Complete Beginner's Guide Introduction When most people think about interacting with a database, they usually imagine connecting through a database client or application. However, ClickHouse also provides a simple and powerful HTTP API that allows you to query and manage your database using standard HTTP requests. The ClickHouse HTTP API provides a universal interface for communicating with your ClickHouse server. Since almost every programming language and automation tool supports HTTP, it becomes an excellent choice for integrations, monitoring, scripting, and lightweight applications. In this guide, you'll learn what the ClickHouse HTTP API is, why it's useful, and how to perform common database operations using simple HTTP requests. What Is the ClickHouse HTTP API? The ClickHouse HTTP API is a built-in interface that enables clients to communicate with a ClickHouse server using the HTTP protocol. Instead of connecting through the native TCP protocol, you simply send HTTP requests and receive responses in formats such as JSON, CSV, TSV, XML, or plain text. The HTTP interface is: Language agnostic Easy to integrate with web applications Firewall friendly Simple to test using tools like cURL, Postman, or a web browser Because of its simplicity, the HTTP API is widely used for automation, dashboards, data pipelines, and monitoring systems. Why Use the HTTP API? The ClickHouse HTTP API offers several advantages: No dedicated database driver is required. Works with virtually every programming language. Easy integration with REST-based applications. Supports multiple output formats. Ideal for automation and scripting. Perfect for cloud-native applications and microservices. Common Operations Using the HTTP API, you can: Execute SQL queries Insert data Create and modify tables Retrieve query results Export data in different formats Automate database operations Authentication Options ClickHouse supports multiple authentication methods when using th

Building a prototype of an AI agent is fun. Building a production-ready agent is a nightmare. In a perfect world, your agent always gets the perfect context, the API never fails, and the model never gets "lazy." But in the real world, transient errors are a constant, and models love to take shortcuts. If you aren't testing your agent against the messy reality of production, you’re setting yourself up for failure. This is where our Agent Profiler comes in. We’ve designed it to be an "adversity sandbox." It doesn’t just ask your agent a question; it challenges it. We inject transient runtime errors, introduce "lazy-agent traps" that force the model to stay focused, and validate structural AST matches to ensure the agent is actually outputting what it claims to output. It’s an active testing loop designed to stress-test your agent’s self-recovery mechanics. If your agent can’t handle a little chaos in the test suite, it certainly won’t survive your users.

Telegram argues India should block specific content, not an entire platform used by millions.

DeductiveAI, a startup that uses AI to catch and resolve bugs in software, was founded just three years ago.

Every startup idea looks perfect... until you start building. The first version of PixoraCloud looked amazing on paper. Then reality hit. We discovered: Some features weren't necessary Some APIs were too complicated Some ideas solved our problem, not the user's problem So we changed them. A lot. That's where we are today. Not chasing perfection. Chasing simplicity. Building in public means admitting your first idea isn't always your best one. What's one thing you've completely changed after starting a project?

👋👋👋👋 Looking back on your week -- what was something you're proud of? All wins count -- big or small...

Anthropic still can’t distribute Claude Mythos or Fable 5 after running afoul of the Trump administration. But no one can say exactly what the company did wrong.

At its core, software development has always been about a simple cycle: Write > Review >...

Plaintiffs in the class action complaint allege Rivian falsely promised for years it would bring hands-free driving to its first-generation R1 vehicles.

On today’s Uncanny Valley, we dive into the dysfunction in Meta’s newly formed AI unit and why it’s been driving already-low employee morale even further into the ground.

“People just really want to take back control of their time, their lives, their attention... They’re down for whatever helps them do that.”

Biggest AI firms will likely recoil at Bernie Sanders' AI wealth fund.

The software engineers filed a complaint with Seattle’s civil rights office accusing Amazon of illegally retaliating against them for expressing their personal political beliefs.

You walk into the RFP briefing. Your competitor has 200 people, 97% AI coverage, and a 4-day delivery promise. You have 15 people and a proposal you haven't even finished writing. Do you bet on better tech, or on understanding people better — and playing dirtier when you have to? This story is your answer. Act I · The Crack When Finova's RFP landed, everyone in the industry knew how big this was. Cross-border payment system. Multi-currency settlement + compliance + risk. Their last deployment had a P0 incident — an exchange rate module drifted by four decimal places in an edge case, and audit chased it for two months. So Finova's CTO made it clear: a $1.8M contract, and whoever signs off owns the result. $1.8M. Enough to keep a small testing company alive for a whole year. Plenty of firms showed up at the briefing. But only two were real contenders. QualiGuard — mid-sized, just closed their Series A, 200 people, their own AI testing platform called Aegis. A $1.8M contract was barely a rounding error for them — but with Series A money comes the pressure to show revenue growth for the next round, and Finova was a trophy client in the cross-border payments space. The case study was worth more than the project itself. Derek stood at the podium, flipping through slides packed with numbers: Aegis delivers 97.2% test automation coverage. Full Finova platform testing in four business days. No "we'll try." Just "we can do it." VeriTest — small, fifteen people. Marcus spent the whole morning working the room with Finova's people. I sat in the back row with nothing. Marcus slid back over and leaned in: "Their PPT makes yours look like a joke." I didn't answer. I was watching Derek's boss. Sarah — QualiGuard's VP, Derek's direct supervisor. She sat in the front row, off to the side, and never once looked at Derek during his entire presentation. She was on her phone. As one of the few women running a technical department, I watched her longer than I watched Derek. When Derek fla

General Intuition is in talks to raise around $300 million at a roughly $2 billion valuation from backers including Jeff Bezos. The startup trains AI agents on spatial-temporal reasoning.

The rich are getting richer. Here’s what wealth advisers are telling their tech clients right now.