9to5Mac’s article “Google launches Snapseed camera for iPhone with pro manual controls, retro film”:

Snapseed, a photo editing app by Google, has launched a new camera feature for iOS with manual adjustments, professional mode, and various film emulation styles. The updated app allows users to customize their photos with real-time filters and provides a full editing stack that enables post-capture modifications. The app is free and available in the App Store, with plans to update the Android version in the future.

I never quite understood why Google is making such an app. It’s great but… why?

9to5Mac’s article “Another AirPods Pro 3 model is coming, with one rumored upgrade”:

Apple is rumored to be developing a new, higher-end version of AirPods Pro 3 featuring infrared (IR) cameras to enhance AI capabilities and potentially support visual intelligence and hand gestures. This upcoming model is expected to be similar to the current AirPods Pro 3 but will likely come at a higher price point. The IR cameras are anticipated to help users better understand and interact with their external environment.

Oh, as an AirPods Pro 2 owner, I might want to hold up my next purchase. I’m just curious about the appeal of this upgrade.

Using Claude Code, I added an OPML export feature to my RSS Flow webpage so that I could move my feeds into Current so that I could compare the reading experience of a RSS river… let’s see.

I bought Current. I’m not sure it’s for me. It doesn’t support Inoreader. It might be in a future version. Information density is too low. I like some of its design decisions. It seems that some useful features will come the more I use the app. I’ll see.

We're Making a Big Mistake

I believe that IT workers who are also passionate about gen AI are making a major misjudgment. We wrongly assume that the advances we observe in our field, such as the autonomous or semi-autonomous development of applications, also translate to sectors like medicine or law. This is a false generalization.

The field of IT heavily relies on strict formalism: the raw material consumed by LLMs. In the legal field, for example, this is not the case: it is much more complex. Laws, regulations, and judgments are generally written and presented in standardized forms, but the content is far from being as digestible formalism as lines of code written in a programming language. In my opinion, we should remember that when we share our enthusiasm for gen AI. We must be lucid while also setting the right expectations for decision-makers and lawmakers.

Matt Shumer writes in “Something Big is Happening”:

The AI labs made a deliberate choice. They focused on making AI great at writing code first… because building AI requires a lot of code. If AI can write that code, it can help build the next version of itself. A smarter version, which writes better code, which builds an even smarter version. Making AI great at coding was the strategy that unlocks everything else. That’s why they did it first.

Clever. Exciting. But scary, too.