标签：#an

A deep dive into the podcasts, papers, tweets, and tutorials of the engineer who made me add a fifth...

Anthropic's critics argue it's rapidly accumulating power. The company says that's what responsible AI development looks like.

penAI reportedly plans to share its newest model, GPT 5.6, with a select group of partners instead of to the broader public. The reason: the Trump administration told it to.

Amazon-owned MGM Studios’ decision to drop the OpenAI movie is just part of AI and film industries becoming increasingly intertwined. On Uncanny Valley, we take a look at where this is all headed.

Android 17 is getting a dedicated gaming mode for foldables that will put a virtual gamepad with touch controls on half of your screen to theoretically make it easier to play games. With foldable gaming mode, which is set to launch in the coming months, the virtual controller emulates physical button presses at a system […]

The country was hit hard by a pair of quakes that happened in quick succession and were likely driven by stress being transferred from one part of the fault that runs through the country to another.

Polestar moved some of its production to the US, but it may be locked out from selling its cars here soon.

Cloudflare has recently shared how they uncovered an issue in their Rust implementation of CUBIC, a congestion controller algorithm, which prevented it from recovering from a scenario of heavy packet loss at the start of a connection. By Gianmarco Nalin

As developers, data engineers, or analysts, we’ve all been there: you download a massive database export, a logging stack dump, or a transaction archive, only to find it's a multi-gigabyte JSON file. You try to import it into a spreadsheet or run it through a standard online converter, and boom—your browser tab freezes, crashes, or shows the dreaded "Out of Memory" screen. Even worse, if you try to use standard cloud-based online tools, you might have to wait for a 500MB upload to complete, only to hit a rigid file-size cap or, worse, compromise sensitive data privacy by uploading corporate logs or database records to a third-party server. In this guide, we will explore: Why large JSON files crash standard parsers (the V8 heap limit problem). How streaming architectures solve this by reading data chunk-by-chunk. NDJSON (JSON Lines) vs. JSON Arrays and how to stream them. A browser-native, 100% offline tool to convert large JSON to CSV instantly: Parsify's Large JSON Stream Converter . How to implement your own basic browser-based JSON streaming parser in JavaScript. 1. The Anatomy of a Memory Crash (Why JSON.parse Fails) If you are using JavaScript or Node.js, the simplest way to read and parse a JSON file is to load the file into memory and run JSON.parse(). const fs = require ( ' fs ' ); // Naive approach: Will crash on a 1GB+ file fs . readFile ( ' database-dump.json ' , ' utf8 ' , ( err , data ) => { if ( err ) throw err ; // POINT OF FAILURE: V8 Heap Out of Memory const records = JSON . parse ( data ); records . forEach ( record => { // Process record... }); }); This works fine for small config files. But once your JSON file reaches 100MB, 500MB, or 1GB+, this approach is guaranteed to trigger a fatal crash: FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory Why does this happen? The String Duplication Overhead: When you load a 1GB file into memory, you first allocate ~1GB of RAM for the raw text string. The

Alibaba allegedly used 25,000 accounts to mine Claude over 28.8 million exchanges.

At the right point of the orbit and stellar cycle, the star's chromosphere brightens.

Polestar won't be allowed to sell its electric vehicles model year 2027 and beyond in the US after the federal government denied the company's request for authorization under a new rule banning vehicles with software from China. In a press release, the company says the decision to retreat from the US follows a recent decision […]

Did Full Self-Driving (Supervised), Tesla’s driver assistance feature, play a role in a woman’s death?

Despite ChatGPT's commanding market lead, consumers who pay for AI have been increasingly choosing Anthropic's Claude, data shows.

I've compiled a list of the best fitness tech deals this Amazon Prime Day, including smartwatches, walking pads, and recovery gear. You can thank me later.

Users will be able to access their watchlists, real-time market data, live financial news, and Google's AI-powered "Key Moments" feature, which explains why stocks moved.

The Oppo Bubble is a smart second screen for your phone, one that can be attached and detached at will, connects wirelessly, and serves as either a selfie screen or a wireless camera remote. It's the best version of this idea I've used yet, but also a frustrating reminder that it could be even better […]

Slate Auto is a new startup that emerged out of a secretive project called “Re:Car” within Re:Build Manufacturing, a domestic manufacturing project backed by Amazon founder Jeff Bezos. The company’s first electric vehicle is a barebones electric pickup that’s roughly a third of the size of your typical gas-powered truck. And the proposal is pretty […]

You just got your hands on an AI agent. It writes code, researches things, sends emails, books meetings. You feel like you're holding a chainsaw. But you keep using it to cut butter. The problem nobody talks about The gap between what your agent knows and what it can do is almost always a paywall, a KYC wall, or an API key. Here's what 'just add one data source' actually looks like: Go to the site. Click pricing. Choose a plan. Enter your email. Wait for verification. Click the link. Set a password. Enable 2FA. Download an authenticator app. Scan the QR code. Enter the 6-digit code. Fill in your company name. Add a credit card. Agree to terms. Find the API section. Generate a key. Copy it. Paste it into your code. Realize your agent doesn't know how to use it. Write a wrapper. Test it. Hit the rate limit. Add retry logic. That's one data source . Some workflows need ten. What x402 actually does Your agent hits an endpoint, gets a 402 (Payment Required) response with payment terms, pays a fraction of a cent in USDC or sats, gets the data back. No accounts. No API keys. No subscriptions. No puzzles. No humans in the loop. The concrete version Competitor research workflow: POST /company-info {"domain": "competitor.com"} -- $0.03 Returns: industry, HQ, headcount range, tech stack, social links POST /github-user {"username": "their-cto"} -- $0.002 Returns: repos, commit frequency, stars, languages, last active POST /dns-lookup {"domain": "competitor.com", "type": "MX"} -- $0.001 Returns: mail provider Full competitor profile: under $0.04. Under 3 seconds. Lead enrichment on 500 domains: under $20, done overnight, zero human hours. Setup (one system prompt line) Get a free key first (no wallet, no email): curl -X POST https://api.ideafactorylab.org/proxy/keygen Returns your key and an agent-ready prompt. Then tell your agent: You have a Cinderwright key. POST to https://api.ideafactorylab.org/proxy/do with header X-CW-Key and body {"task": "describe what you need in plain

In the last essay I played a game with twelve people. Twelve apostles, one teacher, one set of events — and twelve sharply distinct ways of failing and succeeding to understand the same thing. Peter acts before he reflects, Thomas demands the marks in the hands, Matthew counts and structures, Judas asks what you'll give him. I called it pre-cognitive-science cognitive science: the Gospels did the hard work of selecting twelve incompatible human responses to one encounter, and every century since has projected its newest psychology onto that fixed set and found it fits. That essay had a quiet move in it I want to pull on now. The thing that doesn't change, I wrote, is the twelve people. The cognitive vocabularies come and go; the diversity of minds is the invariant. So here is the obvious next question, the one I couldn't stop turning over after I published: what happens when you stop counting people and start counting cultures? Not twelve apostles meeting one teacher, but N civilizations meeting one world. The same exercise, zoomed out A culture is not just a cuisine and a flag. It is a way of thinking that a few million people inherited without choosing it — an implicit operating system for what counts as obvious, what counts as rude, what counts as a good life, what counts as a threat. And like the apostles, each one is an answer to a question . You can describe any of them, I think, with three coordinates. A driver — the deep need the culture is organized around. Survival, honor, harmony, freedom, salvation, mastery, belonging. The thing that, if you threaten it, the culture treats as an attack on existence itself. A provoking question — the founding question the culture exists as a standing answer to. How do we survive the winter together? How do we live rightly before the gods? How do we stay free? How do we keep the harmony so the group doesn't tear itself apart? Cultures are old answers to questions most of their members have forgotten were ever asked. A thin