ai on tty

Apple's Reframe: A Moment That Never Was

Tue, 09 Jun 2026 00:00:00 +0000

Yesterday’s WWDC ‘26 keynote brought the usual slew of product updates and AI features. Most of the online discourse in my bubble has fixated on Siri AI, but I want to focus on something quieter that Apple demoed for the Photos app: a feature it calls Spatial Reframing or Reframe for short. Linked YouTube video is timestamped. Here is a press release with demo shots.

It is a spatial editing feature that lets you change the angle of a photo you have already taken. If your subject was not looking directly at the lens, you can seemingly “correct” that after the fact. Say you have a photo of a dog under an arch and the framing is not quite symmetrical. You wish you had captured it from a slightly better angle. Now you can “fix” that in post.

Video: VibeOS - Fully Hallucinated Operating System

Fri, 05 Jun 2026 00:00:00 +0000

Leave it to a Brit to deliver satire with a straight face in the most deadpan style. This had me in stitches, even my wife joined in to watch the whole thing.

Update: For anyone curious, presenter is Steve Sanderson and a little bit of context in this LinkedIn Post.

May 2026

Sun, 31 May 2026 00:00:00 +0000

Nine things, Space, Rust, Pi? Oh my!

An AI Hate Wave Is Here

Asked about backlash to AI, Superhuman Mail CEO Rahul Vohra — whose company makes an AI-powered email assistant — seemed unfamiliar with the premise of the question. After hearing about poor polling around AI, he responded: “We don’t really see that.”

Building Pi with Pi

Keep in mind that AI has not increased the number of people who need software, or the number of maintainers who can review it. It has mostly increased the amount of code and the number of projects competing for attention. Some of that is healthy, but a lot of it fragments effort that should be shared.

The last six months in LLMs in five minutes

Tue, 19 May 2026 00:00:00 +0000

Simon Willison’s annotated lightning talk from PyCon US 2026.

OpenAI and Anthropic had spent most of 2025 running Reinforcement Learning from Verifiable Rewards to increase the quality of code written by their models, especially when paired up with their Codex and Claude Code agent harnesses.

In November the results of this work became apparent. Coding agents went from often-work to mostly-work, crossing a quality barrier where you could use them as a daily-driver to get real work done, without needing to spend most of your time fixing their stupid mistakes.

If AI writes your code, why use Python?

Mon, 11 May 2026 00:00:00 +0000

The argument from the title: Python’s ergonomics were optimized for humans, and humans are increasingly not the proximate authors. If the model is happy writing Rust, the case for the slower-runtime, weaker-typed alternative gets thinner.

The last twenty years of language choice were shaped by a single constraint: humans write the code, and humans are slow at low-level languages. That constraint is gone. Stack Overflow’s 2025 survey had Rust as the most-admired language for the tenth consecutive year at 72%, with Gleam at 70%, Elixir at 66%, and Zig at 64%. The stated preference was always there; the tooling finally caught up to the preference.

Apr 2026

Thu, 30 Apr 2026 00:00:00 +0000

From skiplists to intergalactic probes.

DuckDB 1.5.2: SQL database that runs on laptop, server, in the browser

What are skiplists good for?

Later I discovered that a skiptree is closely related to a real data structure called a skip graph, a distributed data structure based on skiplists. Which just goes to show that there is nothing new under the sun. Whatever crazy idea you have, there’s a good chance some other crazy person has already done it. Moral of the story: you never know when an exotic data structure will save you a lot of time and money.

AI should elevate your thinking, not replace it

Sun, 26 Apr 2026 00:00:00 +0000

Koshy John on what the tool is good for and what it is not. The argument is small and worth keeping: use the model to extend the questions you can ask, not to skip the part where you think the answer through. His analogies are spot on.

Going back to the analogies: This is like copying answers through university and then showing up to a job that requires independent thought. It is like using a calculator for every arithmetic task and never developing number sense. It is like relying on self-driving features before learning how to actually drive. The support system may make you look functional, but it does not make you capable.