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Smart lighting company Nanoleaf has been acquired by OneRobotics, the parent company of SwitchBot. In an exclusive interview with The Verge, Nanoleaf CEO Gimmy Chu says the company will remain independent and that he and his cofounder and COO, Christian Yan, will continue to run it. "Nothing is changing operationally," says Chu, adding that there […]
Nvidia's announcement that it's getting into the consumer laptop chip space with RTX Spark is huge. Apple has proved for years that Arm-based chips can perform incredibly well while also delivering great battery life - at least on the Mac. In the Windows world, performance hasn't fully matched up under Qualcomm chips, mostly in the […]
Things are bad out there. Despite 2026 shaping up to be a great year when it comes to actual games, it couldn't really be worse for the people that make them or the industry as a whole. Hardware prices keep going up, layoffs have shown no signs of stopping, and even big-budget titles backed by […]
Earlier this month, I finally achieved the elusive goal I had set for myself in Bungie's Marathon. I collected six of the game's rarest items, allowing me to attempt and then successfully clear the raid-style Compiler boss. I felt a massive weight lift off my shoulders - nearly 185 hours of playtime and I had […]
Arm has open-sourced Metis, an agentic AI security framework designed to autonomously uncover complex software vulnerabilities. Unlike traditional pattern-based tools, Metis applies semantic reasoning to analyze cross-component dependencies and provides clear, natural language explanations for its findings. By Sergio De Simone
I haven't seen anything as stupid as the WeWork IPO document in a very long time - that is, until Elon Musk filed to take SpaceX public. WeWork was a joke. SpaceX is a threat. And if Musk and his bankers have their way, you are going to be their bagholder. Lots of the top-line […]
AI image tools rarely make me feel like I'm part of the creative process. They are, afterall, mostly designed so that people with no design experience can type in a few words and get back a usable result. So I was pleasantly surprised by Adobe's latest take on an AI image assistant: it's a bot […]
A decade ago, Nintendo made a big splash into the world of mobile gaming with a new Super Mario platformer directed by none other than Shigeru Miyamoto. But even though the game proved popular, it wasn't the success the company had hoped for. Over the ensuing years Nintendo has slowly retreated from smartphone gaming, with […]
The most memorable part of 007 First Light is something that's typically pretty boring: the tutorial. In many games, you're forced through a series of tedious lessons in how to play, presented in a way that feels disconnected from the story itself and at a plodding pace. But First Light does something different. Because the […]
For a few glorious years, a $399 portable gadget could run almost anything you'd want to play. In 2022, the Steam Deck finally made PC gaming portable and affordable. I played through the vast majority of Elden Ring on a Steam Deck, agape that such a rich world could comfortably fit between my two hands. […]
Last year, I was doing something that felt increasingly absurd: manually reading AI-generated content to decide if it was "good enough." PostAll — the content automation tool I've been building — was producing hundreds of blog posts per week for clients. And I had no systematic way to evaluate quality at scale. I was spot-checking. Vibes-checking, really. That doesn't work at volume. So I built a programmatic quality analysis pipeline, ran it over 1,000 AI-generated posts, and let the numbers tell me what my gut was missing. The findings surprised me. A few of them genuinely changed how I think about AI content quality. What I Actually Measured First, a definition of terms, because "quality" is almost meaninglessly vague in this space. I broke quality into five measurable dimensions: Readability — Flesch-Kincaid grade level and reading ease score Keyword density — Target keyword frequency and distribution across the post Grammar error rate — Errors per 1,000 words, caught via LanguageTool's API Factual accuracy — Claims that could be verified programmatically (dates, statistics, named entities cross-referenced against a knowledge base) Structural consistency — Presence of expected elements: intro hook, subheadings, conclusion, CTA I used 1,000 posts across three categories: SaaS product descriptions, long-form "how-to" articles (1,200–2,000 words), and listicles (500–900 words). All were generated by PostAll using GPT-4o, with various prompting strategies. The Setup The analysis pipeline isn't complicated, but the piece that makes it useful is the batch processing layer: import anthropic import language_tool_python import textstat from dataclasses import dataclass from typing import Optional import json @dataclass class QualityReport : post_id : str flesch_reading_ease : float flesch_kincaid_grade : float grammar_errors_per_1000_words : float keyword_density : float structural_score : int # 0–5 based on element presence flagged_claims : list [ str ] overall_score :