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开发者

Something’s glowing on the Pixel 11’s camera bar

A new teaser for Google's upcoming Pixel 11 lineup reveals that the phones will feature some kind of glowing orb on the camera bar, as reported by 9to5Google. Google's store page for the Pixel 11 has a short video that shows the glowing, color-shifting orb to the one side of the camera bar. The store […]

2026-07-16 原文 →
AI 资讯

Jurassic Park computers in excruciating detail

Ever sat down and thought about how a movie can spark your curiosity about technology? I was rewatching "Jurassic Park" recently, and, for the umpteenth time, I found myself mesmerized not just by the dinosaurs but by the computers! The way they portrayed tech in the early '90s was a mix of excitement and pure whimsy. I’ve been exploring the tech behind the magic, and it’s been a wild ride down memory lane—a nostalgia trip mixed with some surprising insights into how things have evolved. A Walk Down Memory Lane When I first watched "Jurassic Park" as a kid, the scene where Dr. Ellie Sattler runs through the control room, frantically trying to restore the park’s security, left me awestruck. I mean, who didn’t dream of typing on one of those cool-looking computers? As a budding developer, I couldn't help but wonder about the behind-the-scenes tech. Ever wondered why they used UNIX systems? Or why the computer graphics felt so cutting-edge back then? Turns out, they were leveraging a blend of SGI workstations and proprietary software that made their visual effects legendary. I remember my first experience with UNIX during my college days, and it felt like being dropped into a different universe—powerful, complex, and sometimes, downright intimidating. I’ve learned that just like in the movie, the power of tech lies in how effectively we can wield it. The Nostalgia of User Interfaces Let’s talk about user interfaces. The interfaces portrayed in the film, with their vibrant colors and flashy animations, were quite ahead of their time. It’s funny looking back because, at points, they seemed so unrealistic. I mean, the way Dr. Ian Malcolm effortlessly navigated the systems? I wish it was that easy! When I started working on UI/UX projects, I learned that simplicity is key. I once spent hours creating a beautiful interface that was so complex no one could figure it out! My takeaway? Sometimes, less is more. It’s the same lesson I’ve carried into modern frameworks like React

2026-07-16 原文 →
开源项目

Stripe and Advent reportedly offered to buy PayPal for around $53.4B

Stripe and private equity firm Advent International have reportedly submitted a joint bid to acquire PayPal in a deal valued at approximately $53.4 billion. Reuters reports that the offer was submitted earlier this month and is backed by roughly $50 billion in committed bank financing. Under the proposal, Stripe and Advent would jointly own PayPal, […]

2026-07-15 原文 →
AI 资讯

Bypassing AMM Slippage: How Typelex Uses On-Chain Atomic Swaps for MEV-Proof OTC Trading

If you’ve ever built or interacted with DeFi protocols, you know the mathematical limitations of Constant Product Market Makers ($x \times y = k$). While AMMs are great for retail liquidity, executing a large transaction (e.g., $100,000+) directly against a liquidity pool triggers two major issues: Severe Slippage: The marginal price of the asset degrades exponentially relative to the trade size. MEV Exploitation (Sandwich Attacks): Public mempool transactions are highly vulnerable. Front-running bots will buy the asset ahead of your execution block, push the price up to your maximum slippage limit, and dump it immediately after. To solve this without relying on centralized, custodial desks or risky off-chain escrow setups, we built Typelex —a decentralized, non-custodial P2P OTC protocol. Here is a look at how we bypassed the AMM bonding curve entirely using on-chain atomic swaps. The Architecture of an On-Chain Atomic Swap Instead of routing trades through active liquidity pools, Typelex utilizes isolated smart contracts to execute peer-to-peer trades. The entire swap happens atomically : either all conditions are met within a single block execution, or the entire transaction reverts. Conceptual Smart Contract Logic (Solidity-based) To understand how the trustless escrow works under the hood, here is a simplified mental model of the swap execution logic: struct Order { address maker; address taker; // address(0) if public address tokenA; uint256 amountA; address tokenB; uint256 amountB; bool active; } mapping(uint256 => Order) public orders; function takeOrder(uint256 orderId) external { Order storage order = orders[orderId]; require(order.active, "Order not active"); if (order.taker != address(0)) { require(msg.sender == order.taker, "Unauthorized taker"); } order.active = false; // Pull Token B from Taker to Maker IERC20(order.tokenB).transferFrom(msg.sender, order.maker, order.amountB); // Push Token A from Contract Escrow to Taker IERC20(order.tokenA).transfer

2026-07-15 原文 →
开发者

The Motorola Edge 70 Max is all about power

Motorola has launched the Edge 70 Max, its latest flagship phone that's designed for power intensive tasks like streaming video and mobile gaming. Alongside having a huge battery and rapid wired charging support, the Motorola Edge 70 Max is the first Android phone to support full 25W wireless Qi2 charging since Google launched the Pixel […]

2026-07-15 原文 →
AI 资讯

Home Depot’s 12-foot viral skeleton now talks

The Home Depot is once again upgrading its 12-foot-tall skeleton to help keep the viral piece of Halloween decor popular as spooky season creeps closer. Skelly is borrowing some of the tech introduced in the smaller 6.5-foot Ultra Skelly last year, including letting you speak through the skeleton's moving mouth using a mobile app. The […]

2026-07-15 原文 →
产品设计

Samsung’s new foldable display is harder to crease and damage

Samsung has unveiled a new flexible display technology for foldable phones that's designed to be slimmer, more durable, and less prone to creasing. The Flex Titanium tech is the culmination of everything that the company has learned over seven generations of foldables, according to Samsung, and will debut with the upcoming Galaxy Z Fold 8 […]

2026-07-15 原文 →
AI 资讯

OpenAI may announce a ChatGPT smart speaker this year

OpenAI's first device is set to be a smart speaker that lets you talk with ChatGPT, according to a report from Bloomberg. The device apparently won't have a screen, but will use a camera and additional sensors to "understand" your environment. The report comes just days after Apple filed a lawsuit against OpenAI that accused […]

2026-07-15 原文 →
AI 资讯

Can Claude Analyze My Portfolio?

If Claude can already search the web, read a 10-K, and explain what a rate cut does to long-duration equities, the fair question is why you would connect anything to it at all. It is the right question, and the honest answer is that for a large class of questions you should not. Raw Claude is enough. The gap is narrower and sharper than "Claude does not know finance." Claude knows finance. What it does not know is you. What raw Claude already does well Be clear about this before the sales pitch, because pretending otherwise would insult anyone who has actually used it. Claude with web search will look up a current quote, summarize an earnings call, explain a valuation multiple, walk you through how a Monte Carlo simulation works, and reason about a macro scenario better than most of the commentary you would read instead. If your question is about the world, and not about your own balance sheet, a connector adds nothing. Ask Claude directly. The trouble starts the moment the answer depends on what you actually own. Four things that break when the question is about your money 1. It starts from zero every time A chat has no memory of your holdings. You can paste them in, and many people do, and it works for exactly one conversation. There is no cost basis, no purchase date, no daily snapshot series behind it. So "how concentrated am I really", "what is my realized gain this year", and "how correlated are my top five positions over the last 90 days" are not questions it can answer. It can only answer them about the numbers you re-typed, this once, from memory. 2. The same question gives a different answer twice LLM inference is not deterministic, and it is not deterministic even at temperature zero. Thinking Machines Lab traced the cause to batch-invariance in inference kernels: the batch your request lands in varies with server load, so the arithmetic varies with it. They fixed it in a research setting and got 1,000 bitwise-identical runs, which tells you how much engi

2026-07-15 原文 →