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This is good reminder but I do regular calls to her even today also

Seeing more modular gaming mice lately with swappable parts and weight tuning. Curious if this actually helps in competitive FPS or if consistency matters more. Anyone here used modular gear in serious play?

Curious what the HN crowd thinks matters most in camera comparisons — low-light, detail, or autofocus? Feedback will help shape the next update.

I created this guide because most “AI tool lists” online are either too technical. My aim was to make something simple enough for beginners who want to try AI without feeling overwhelmed. Happy to hear suggestions on what I should add or improve.

New analysis shows that a widely-publicized quantum computing “breakthrough” doesn’t replicate under closer scrutiny. Researchers attempted to reproduce the claimed quantum advantage and found conventional explanations for the results — suggesting the original announcement oversold what the device actually did.

One thing that surprised me in this piece is how quickly AI is becoming good at the parts of communication we assumed were uniquely human… It feels like AI is holding up a mirror not to what we say, but to how we listen

I like how they’re re-using old Samsung stock where possible and only switching people over as needed. It avoids unnecessary waste while still shifting to a more sustainable standard.

Microsoft is bringing Claude into healthcare workflows through Foundry — aiming at clinical and administrative tasks that require accuracy and compliance. Does AI in regulated medical settings actually improve reliability, or just shift risk?

Going through this page surprised me. A bunch of things I thought were “basic facts” like humans having only five senses, Einstein struggling with math, or seasons changing because we’re closer to the Sun turn out to be wrong. There are quite a few tech-related misconceptions in there too. Made me realize how many things we repeat without ever checking where they came from.

Incredible story: In 1971, a tiny bug in AT&T’s switching software caused a cascading failure that took down nearly all long-distance calling in the US. The entire system collapsed because one switch sent a malformed signal and every other switch copied the same failure. Wild early example of distributed-system fragility.

This is a great example of how a small change in the right place can outweigh years of incremental tuning.

Amazing to see satellite networks giving people a path online when terrestrial routes are blocked.

One detail that stood out is that latency and multimodal performance seem to have been major factors in Apple selecting Gemini. It suggests that the practical constraints of on device inference are still a significant bottleneck for assistants like Siri.

The 2016 JAMA paper illustrates how funding sources can shape research focus, reinforcing the value of transparency and multiple lines of evidence in nutrition research.

A lot of lessons from Google are really lessons from a historically unique monopoly era that no longer exists. Useful context, but dangerous to treat as timeless advice.

Build something intentionally small and complete a tiny tool or protocol you can understand end-to-end. The satisfaction comes from clarity, constraints, and finishing the whole arc, not scale.

Read your article.

It’s interesting how quickly criticism cools when ownership is taken instead of resisted

Thanks for sharing.

Nice write-up. Static allocation forcing you to think about limits up front feels like a real design win

Google isn’t dead, but it’s no longer the single answer. Even Mark Zuckerberg recently acknowledged how fast Google is improving, which explains why Meta is pushing AI harder. Still, competing shouldn’t mean replacing what already works.

That’s a bit risky. When AI starts swapping proven ads, you often end up with more volume but lower quality lots of junk leads. If something is already working, replacing it automatically can hurt real results, not just the metrics.

A recent disclosure about Intel’s forthcoming Granite Rapids-WS Zeno processors suggests that the highest-end models will feature up to 86 cores and support up to 2 DDR5 DIMMs per socket on the W893 platform. These specifications enable Intel to directly rival AMD’s Threadripper series in the high-end workstation (HEDT) sector.

Nice one

iRobot has entered bankruptcy after struggling for years to keep up in a fast changing market. The company filed for Chapter 11 in the US on December 14, saying it has reached a deal that will hand over control to its main supplier and lender, Shenzhen PICEA Robotics, along with Santrum Hong Kong.

Statement from iRobot on Bankruptcy

Same here. I tried a few smart home gadgets and the excitement faded fast. Apps broke, updates stopped, and they became more hassle than help. Simple non-smart devices have lasted way longer for me.

The diskless systems point is a good one — the convenience is real, but the loss of resale, lending, and long-term ownership adds up more than reviews usually acknowledge. Do you think that trade-off was obvious at purchase time, or did it only start to feel painful once storage filled up and the library grew? On the Apple Watch side, was the battery issue something you noticed early, or did it become frustrating over time as usage increased?

This resonates a lot, especially the “death by a thousand papercuts” feeling.

None of these are deal-breakers alone, but together they make iPadOS feel hostile to repetitive, text-heavy, or workflow-driven tasks. The image URL point is a perfect example — something trivial on desktop becomes a ritual on iPad. The WebP handing is particularly telling. On macOS it’s invisible friction; on iOS it’s a multi-step ceremony that feels like the system actively resists you. “There’s an app for that” isn’t really an answer when the OS already knows what the file is.

Safari losing long text areas is another one that quietly kills trust. Once you’ve lost a few drafts, you start working around the device instead of with it — Notes buffers, manual copy cycles, etc. That’s usually the moment a device stops being a primary machine.

Curious: do you feel this is something Apple could realistically fix with iPadOS changes, or is it more fundamental to iOS’s design assumptions?