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Picture a young software developer sitting in a small, dimly lit room in Tehran. He has no political ambitions, no connections to the state apparatus, and no desire to break any domestic or international law. He wants to do something profoundly ordinary: build a small piece of software, refine his code, and offer it to the world using the same AI-driven development tools that his peers in Berlin, Toronto, or Tokyo take for granted. He opens his browser, clicks on a U.S.-based AI platform, and is immediately greeted by a cold, automated refusal: "Access from your region is restricted." In that single, unyielding moment, a door to the global community slams shut in his face. He has not been accused of a crime. No tribunal has judged him. No regulatory body has flagged his name. He is locked out simply because of where he was born and where he draws breath — a geographical reality he did not choose and cannot alter. The Asymmetry of Sanctions: How the State Circumvents While Citizens Suffer The tragic absurdity of this system lies in who actually bears the pain. Broad economic and digital sanctions are nominally designed to pressure and isolate a government. In practice, however, the targeted state mechanisms possess vast institutional wealth, specialized intelligence networks, and endless financial resources that render these restrictions practically useless against them. When the Iranian government or state-linked entities need to bypass international sanctions, they deploy a deeply entrenched, highly sophisticated network of circumvention tools: Front and Shell Companies: Establishing complex layers of paper companies in regional commercial hubs — such as the UAE, Turkey, Oman, or Eurasia — with clean, local ownership structures that mask the true state beneficiaries. Proxy Banking & Intermediaries: Utilizing specialized financial conduits and foreign bank accounts registered under these shell entities to route payments globally without triggering compliance alerts.

As OpenAI and Anthropic employees grow quieter online, researchers at Chinese AI labs are flocking to X to explain their work, recruit talent, and shape the global conversation on AI.

Gaps in laws may help Pennsylvania high school escape AI nudes scandal.

Several record labels, including the big three - Universal Music Group, Sony Music, and Warner Music Group - have proposed rules regarding chart eligibility for AI songs. In short, they wouldn't be. The proposal goes quite a bit further than a labeling proposal put forth by the RIAA, the International Federation of the Phonographic Industry […]

One hundred days ago, I had no idea this challenge would become one of the most rewarding technical journeys I've taken. There were days when everything clicked, and there were days when nothing compiled. I celebrated successful deployments, stared at cryptic errors for hours, rewrote programs that weren't good enough, and learned that understanding Solana has far less to do with memorizing APIs than changing how you think about state, ownership, and security. Looking back now, I realize I didn't just complete 100 challenges; I built a completely different mental model of software. Where I started I came in with a biochemistry degree I never used, a self-taught engineering career I built in public, and a GitHub full of Rust and Python work. I co-maintain statix, a Nix linter that ended up in the canonical NixOS/nixpkgs upstream. I had shipped real software before. What I did not have was any intuition for how Solana actually works. I knew the buzzwords. I had the mental model of "it's fast and cheap." I did not know what an account was. I did not know what a program was. I did not know why those two things were different. That gap, between knowing the words and understanding the model, is what these 100 days actually closed. What I expected I expected Solana to feel like a database with extra steps. In Web2, you have a server that holds state. You call an API. The server reads from the database, does something, writes back. I expected a blockchain to be the same thing, just slower and decentralized. The first thing that broke that model: accounts. On Solana, an account is not a row in your database. It is the database. Every piece of state, your wallet balance, a token you hold, the program you deployed, is an account. Programs are accounts. Data is accounts. Everything is an account. That sounds obvious written down. It took me until around Day 15 to actually feel it, when I was staring at a getAccountInfo call wondering why the program I deployed was also an accou

The leading U.S. automakers are mentioning EVs on their investor calls at pre-pandemic rates, according to new data from TechCrunch and Hudson Labs.

Viral tales of good triumphing over evil are racking up millions of views. They’re almost entirely AI-generated clickbait.

The startup is building voice models designed to make AI phone calls pass the Turing test.

WhatsApp will automatically move messages from large businesses to a new folder a few hours after you receive them.

Tesla had already reportedly prepped for the idea in the event that Beijing invades Taiwan.

GitHub热门项目 | High-performance Markdown and MDX processing for the JavaScript ecosystem | Stars: 1,060 | 18 stars today | 语言: Rust

GitHub热门项目 | The Parity Polkadot Blockchain SDK | Stars: 2,789 | 0 stars today | 语言: Rust

Holly Cummins discusses why "nothing is new under the sun" in tech. She maps historical architectural tradeoffs to modern cloud, microservices, and AI hype cycles. She connects financial debt (post-ZIRP) and technical debt to epistemic and sleep debt, showing engineering leaders how to navigate shifts in assumptions, embrace sustainability, and revive proven engineering disciplines. By Holly Cummins

This is a submission for Frontend Challenge - Comfort Food Edition, CSS Art. Inspiration Comfort...

Hello, I'm Maneshwar. I'm building git-lrc, a Micro AI code reviewer that runs on every commit. It is...

In a review triggered by OpenAI’s Hugging Face incident, Anthropic discovered three of its AI models had breached real organizations during third-party evaluations.

Are you a "data hoarder" when it comes to your health? Between Apple Health exports, Oura Ring logs, and Garmin CSVs, I found myself sitting on nearly 10 million rows of biometric data. Trying to analyze a multi-year trend of Heart Rate Variability (HRV) or Resting Heart Rate (RHR) in Excel is a one-way ticket to "Application Not Responding" hell. 📉 In this tutorial, we are diving into the world of Quantified Self data engineering. We will leverage DuckDB —the Swiss Army knife of OLAP—and Apache Superset to build a lightning-fast, local-first biometric dashboard. We'll explore how to turn messy JSON/CSV exports into high-performance insights using dbt for modeling and DuckDB for compute. If you've been looking for a way to master Data Engineering for personal use, this is the ultimate "learn in public" project! 🚀 The Architecture: From Raw Export to Real Insights Before we write a single line of SQL, let’s look at how the data flows. We want a system that is modular, fast, and stays entirely on our local machine (privacy first, right? 🥑). graph TD A[Raw Data: Apple Health / Oura / Garmin] -->|CSV/JSON| B(DuckDB Storage) B --> C{dbt Transformation} C -->|Cleaned Views| D[DuckDB Analytical Layer] D --> E[Apache Superset / Grafana] E -->|Visualization| F[Personal Biometric Dashboard] style B fill:#fff,stroke:#333,stroke-width:2px style D fill:#fbbf24,stroke:#333,stroke-width:2px Prerequisites 🛠️ To follow along, ensure you have the following in your tech stack: DuckDB : Our ultra-fast in-process analytical database. dbt-duckdb : For data modeling and transformations. Apache Superset : For the "wow factor" visualizations. Python 3.10+ : To glue it all together. Step 1: Ingesting the "Mess" with DuckDB DuckDB is incredible because it can query CSV and JSON files directly without an ingestion step. Let’s say you have a massive heart_rate.csv from an Apple Health export. Instead of waiting for a traditional DB to "load" the data, we can create a view instantly: -- Create a

I am not by any means an expert at finance but I think I do now have some advice for people who are: Do not name your hedge fund anything that will be hilarious if it blows up. Don't use a name like "Long-Term Capital Management," or "Amaranth Advisors" (named for the floral symbol for […]

Satellites show burn scars and fires at AWS data centers and Saudi oil refinery.

Researchers fear AI is moving too fast, while Mark Zuckerberg is worried about who owns it. Plus: Inside Black Forest Labs’ push into robotics.