u/deferare

It seems like we can currently use Gemini 3.2 Flash (or 3.5) under the name Gemini 3 Flash. The model has become significantly faster than usual, and the performance has improved incredibly. Not only that, but looking at the photos, it accurately identifies the latest iPhone model names without even needing an internet search.

Everyone should give it a try. It’s definitely different.

First of all, before using the AirPods Max 2, I was using Bose's QC Ultra headphones and Sony's WH-1000XM6. In terms of build quality, the Sony product felt very plasticky, but the Bose product felt relatively well-made, which I liked better. But using the AirPods Max 2 for the first time, the build quality is just insane. It feels like it's densely packed inside? While other products feel plasticky and hollow, Apple's build quality really hits different.

And the true advantage of the AirPods Max 2 is definitely its ecosystem integration with Apple products. I usually use the AirPods Pro 3, and being able to connect and use it directly at the OS level without any extra apps seems like a huge plus. The AirPods Max 2 works exactly the same as regular AirPods. I am using a Mac, an iPhone, and an iPad—a total of three devices simultaneously—and the sound plays well from all three. Bose or Sony only allowed pairing up to a maximum of two devices.

As for comfort, I wore them almost continuously during my waking hours for a month. My ears never hurt or anything like that. When I first put on the AirPods Max 2, they felt a bit heavier than Sony or Bose, but now I'm used to it and just wear them all day long. For reference, I barely used the Sony ones because they hurt my ears. You can consider the wearing comfort of the Bose QC Ultra headphones and the AirPods Max 2 to be quite similar, although the weight is different, of course.

In terms of noise-canceling performance, Apple and Sony are similar, while Bose feels a bit behind. With Bose or Sony products, I could hear at least a little bit of white noise when noise canceling was turned on, but with Apple's AirPods Max 2, there is absolutely zero white noise. I don't know how this is even possible...

Sonically, the AirPods Max 2 is very clean. It's refreshing, I would say. It feels like drinking a cold Coke Zero. On the other hand, the Sony product felt somewhat muffled, like drinking a sports drink and having phlegm stuck in your throat. Bose also had a clean sound, but I don't think it was quite up to Apple's level.

In conclusion, having used it for a month, I am highly satisfied—there's no white noise during noise cancellation, the sound is clean, and it connects and operates seamlessly with Apple products at the OS level. Also, there was a recent firmware update, and it feels like the device is getting consistent support, which is also great haha. Bose's firmware version has been exactly the same for years.

Previously, it was a preview version.

Google is rebranding the Fitbit app to the Google Health app, a unified hub for fitness tracking, sleep, nutrition, cycle tracking, vital signs, and U.S. medical records from compatible devices including potential Apple Watch support. The app features a Gemini-powered AI Health Coach for personalized recommendations and guidance, with Google Health Premium available for subscribers.

Here is the quick TL;DR:

• Better Exploration: Suggests related articles and deep-dive analyses after an AI response.
• News Subscriptions: Highlights links from your favorite subscribed news sources.
• More Inline Links: Links are now placed directly next to the relevant text inside the AI response.
• Hover Previews (Desktop): Hovering over an inline link now shows a quick preview of the website/page title.
• Social & Community Insights: AI responses will now preview perspectives from forums, social media, and creators (more context on who is saying what).

The first photo shows the results when run on the CPU, and the second one is on the GPU.

Look at the speed difference between the Prefill and Decode speeds in my benchmark results. There's almost a 10 to 20-fold gap.
They say Prefill is mainly driven by the CPU or GPU, while memory speed is what really matters during the Decode stage.
It seems memory really is the bottleneck in AI inference. It's pretty insane. Of course, data centers would be using high-performance HBM.

Samsung Electronics and SK Hynix are absolutely raking it in right now. It’s seriously mind-blowing. It looks like they might even earn more than Apple and Google this year.
Both are Korean companies, and their combined operating profit is projected to be $340 billion lol.