The Galaxy A27 5G has a stronger chipset, at least.

Worried recruiters see "ML/AI engineer" on a resume and assume zero security depth, even with real hands on work in the space. Anyone hired into security from a non-traditional background like this — how'd you frame it? submitted by /u/Xorphian [link] [留言]

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.

Hi HN, Nick here. We’re launching OpenKnowledge ( https://openknowledge.ai/ ), a “what you see is what you get” markdown editor that has direct integrations with Claude, Codex, and Cursor. Available as MacOS app or CLI. Fully free/local and OSS ( https://github.com/inkeep/open-knowledge ). We built this because we wanted a “Google docs” like experience for writing and sharing markdown files across our team. Obsidian is the best alternative we tried, but found it doesn’t have a true “what you see

Speaking as someone who just had to buy a new garbage disposal on his lunch break, I know firsthand how much home maintenance can cost, so I’m always excited to find inexpensive home tech that feels like an upgrade. Prime Day is a great time to score deals on video doorbells and cameras, novel methods […]

I have long been on the hunt for the perfect distraction-free writing setup. The latest contender is BYOK, which stands for Bring Your Own Keyboard. It's a simple $199 black plastic rectangle with a low-resolution LCD screen that lets you edit text and does almost nothing else. I've tried dedicated apps. I've even converted an […]

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 […]

General Intuition has raised $320 million to scale AI trained on millions of hours of gameplay, betting action data can help AI develop something closer to human intuition.

"There were employees doing things like, 'Claude is so helpful for me — it analyzes my calendar and my email and puts together a plan for me,'" he says. "That person was spending at a run rate of $30,000 a year for this."

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.

Google Finance is a standalone Android app now, with an iOS version on the way.

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 […]

We talk a lot about what AI can build. Code generation. Faster prototypes. Automated debugging. One-shot apps. Entire products created in hours. And yes, AI is powerful. But there is a quieter cost we are not talking about enough: AI hype is starting to weaken the motivation to learn core engineering deeply. That should worry us. 1. The "Why Bother?" Mindset When the dominant narrative says AI can generate code instantly, many engineers start asking: Why should I spend months mastering frameworks, architecture, databases, networking, or system design? At first, that sounds practical. If a tool can help, why not use it? But there is a difference between using AI to move faster and using AI to avoid understanding. Core engineering is not just about writing code. It is about knowing why something works, where it breaks, how it scales, and how to fix it when the generated answer is wrong. If we skip that learning, we create engineers who can prompt systems but cannot reason deeply about systems. That is a dangerous tradeoff. 2. The Funding and Praise Monopoly Right now, AI gets most of the attention. Budgets move toward AI. Leadership praises AI initiatives. Teams are pushed to add AI features even when the fundamentals are still weak. Meanwhile, excellent core engineering often goes unnoticed. The people improving reliability, performance, developer experience, infrastructure, security, and maintainability are still doing high-impact work. But in many places, that work is being treated as less exciting simply because it is not branded as AI. This creates pressure. Engineers feel they must pivot to AI, not always out of interest, but out of fear. Fear of being left behind. Fear of being replaced. Fear that their existing expertise is no longer valued. That is not innovation. That is anxiety disguised as progress. 3. The "AI-First" Discount There is another subtle problem. When someone builds something impressive today, the reaction is often: AI probably generated that.