pbronez

Sent a PR for this. Vibecoded, we'll see if the author finds that helpful or insulting...

https://github.com/joone/fossbook/pull/8

The primary source is

https://cheekypint.transistor.fm/39/transcript#:~:text=quite...

The primary source is

https://cheekypint.transistor.fm/39/transcript#:~:text=quite...

Interesting, makes sense. JIT in CPython main is a big deal, glad they’re proceeding with caution. Overall looks like they added it as an experimental feature for two years, then decided to back it out. Perfectly reasonable outcome.

Try Lewis Cole or The Comet is Coming

How do I find and hire a UX person like this?

I'm astonished you've managed to coax AI into a novel conversation partner. Interacting with AI usually leaves me exactly "super bored and partly drained by the lack of speed and creativity."

All the novelty of AI engagements comes from data it pulls in via tools. It's great to have a conversational interface over the public web, but there's a huge difference between knowledge retrieval and insightful conversation.

Please share how you've cracked this so we <2sd minds can enjoy the crumbs from your lofty table.

This is fascinating. I’m intrigued by the combination of discursive metaphor and weak convention to define actor identities.

The writing style is not natural to me. I was initially put off by phrases like “YAML Jazz” even though I love Tron’s “digital jazz”. Maybe this is because I’ve never experienced psychedelics. I’m at least two generations beyond / behind - removed? - from the movement that defined this way of thinking and communicating.

But sitting with it, it makes sense. I have to stretch my brain. It feels like thinking through a new algorithm… except I’m juggling jello instead of assembling a puzzle.

Ultimately it aligns with my understanding of AI as xkcd’s stirred pile of linear algebra. LLMs don’t understand anything. They project words into probability space, infer momentum vectors based on chunks that bubbling up in the soup of digested everything, and strike out in the prognosticated direction with blind confidence constrained only by temperature.

We constrain these systems with sandboxes and sturdy deterministic tools. Prompts default to the same shape: sharp, precise, hard, directive. But maybe a bag of words is also valid.

If the computer knows your references, each token is much richer than I might assume. Does “minsky” vendor the psychedelic moment? Does “SIMS” scaffold a game loop worth of the emotional energy people have poured into that series? Do these combine to elevate Claude, Qwen, or any other multi-million-dollar number box into an engaging partner?

I will play around it with it to find out.

AppleTV does support multiple users, but it’s terrible.

I have an AppleTV on the main television, with Apple accounts set up for each member of my family. It makes almost no difference which user you have selected.

Now, maybe I just haven’t spent enough time trying to set this up, and I’d be delighted to be wrong, but AFAICT:

All users share the same Home Screen layout

All users share the same screen saver

Third party apps have zero integration with the AppleTV accounts. This means I have 4 users on the AppleTV, then 3-5 users on every single app installed on the Apple TV, and any AppleTV user can use any app user.

All together this means the AppleTV users are useless to me. They don’t help me with parental controls. They don’t help me switch between personalized content collections. They don’t even help me log into third party apps!

This should be so much better than it is.

I think some of that is defensive. They don’t have a GPU or other AI Accelerator story right now. They have to remind people that regular compute is still relevant for all the other stuff around the AI workload.

That said AMD’s participation in this round + heavy hints on the podcast and YouTube suggest they will pursue an GPGPU Compute Sled built around an AMD product.

The related https://fizzbee.ai/ tool is pretty neat. It's similar to /grillme but with additional formalism. Not sure if the resulting specs are definitively better, if only because the FizzBee code is harder for me to decipher.

Yeah the README on OpenAI/Math says:

“On average, each result used three hours of ChatGPT Pro thinking compute with that model. Over the course of the evaluation, the model was posed approximately 4,000 problems.”

That leaves a lot of ambiguity. Is “result” exclusively “positive result shown here” or “all results”?

Since proving infeasibility is a valuable result, the unpublished problems must not have reached a valuable end state. Thus it’s an operator decision of when to turn the machine off and try another problem. I’d thought they had a three hour time box on this, but apparently not.

So much about LLMs can be framed as Information Retrieval, Compression, and Search. Computers have always been good at ruthlessly hammering through a huge but finite set of possibilities. The wild thing now is that you can define that set of possibilities as "all the ideas ever published in mathematics journals."

It makes solving advanced math problems feel like cracking a hash. If it's possible, it's just a matter of compute time.

This is a Google Deepmind project to “Identify AI generated media”

More detail at https://deepmind.google/models/synthid/

For those who, like me, were hoping it was a vision model to identify synthesizer models from photos of concerts and music studios!

Rapid-MLX was my first thought too. It’s optimized for self-hosted agents on Apple silicon. It’s my current choice for self-hosted models.

https://github.com/raullenchai/Rapid-MLX

I believe you are correct about the general decline in socializing. Came across this article about it yesterday https://www.derekthompson.org/p/the-death-of-the-american-ho...

“In short, the great disinvitation is real, and we can’t wish or explain it away by arguing that Americans are just finding new ways to be with friends.”

It’s definitely bad that twice as many people have a gambling problem. However to assess the NET impact you also have to count how much value/fun/whatever the non-problem-gamblers are having, plus whatever tax revenues you get, increased economic activity from more attention on sports, etc.

Personally I think these companies suck. Just need more work to make a strong good faith argument about it.

Yeah I had a session fail and keep failing.

https://status.claude.com/ says:

Elevated errors on claude.ai, Claude Code, Claude Cowork and the Claude API Subscribe Update - We are investigating reports of degraded performance affecting claude.ai, platform.claude.com, the Claude API, Claude Code, and Claude Cowork. We will provide an update as soon as possible. Sep 29, 2026 - 14:30 UTC Update - We are investigating elevated error rates affecting Claude.ai (including the desktop and mobile apps), Claude Code and Claude Cowork. Some requests to the Claude API are also returning errors. We will provide an update as soon as possible. Sep 29, 2026 - 14:28 UTC Investigating - We are investigating elevated error rates affecting Claude.ai (including the desktop and mobile apps), Claude Code and Claude Cowork. Users may see failed requests, errors loading or sending conversations, or be asked to sign in again; retrying may succeed. We will provide an update as soon as possible. Sep 29, 2026 - 14:21 UTC

The common element appears to be the use of a Voronoi tessellation to map a field of scattered points (LED locations) to cells.

https://en.wikipedia.org/wiki/Voronoi_diagram

This is “second mover advantage.” There are several dynamics that can make it better to wait and move later. Framed in terms of firms, moving late is advantaged when:

- the product category is long lived

- switching costs are low for buyers

- there are objective standards of quality

- product imitation costs are low

https://insight.kellogg.northwestern.edu/article/the_second_...

Let’s consider those criteria for an individual competing in the labor market with AI. The category should be long lived, AI is here to stay. Switching costs (here, hiring/firing by employers/clients) are low. Objective quality standards fails; technical labor is notoriously difficult to quantify. Imitation costs (can you copy someone else’s good ideas) are moderate but decreasing. That’s where model and tooling improvement shows up.

Based on this analysis, I agree that late movers are well positioned IF the market leaders continue to improve models and tooling to integrate best practices that were previously individual skills.

Early movers should exploit the lack of objective standards. Use your experience with the first generation of tools as marketing to win and retain clients. Continue to invest in soft skills like communication.

Oh my god that was just written at the beginning of August?? It feels like I read it a year ago. We really are speed running this tech cycle…

Are these Spotlight? The New Siri combined Siri and Spotlight into a single agentic retrieval thing, so it’s possible that when you turn off “Siri” they leave on Spotlight but it’s reported under the new branding.

Inconsistent & confusing if so.

I generally don’t bother to complain about claudism but YES. There’s a special irony to using a tool to complain about how the tool is breaking things.

Lexfina looks very cool. I need self-hosting to adopt at my business.

Seems pretty useful in an enterprise context to me. I see it as an alternative to 10 million vibe coded apps to dockerize and manage. You can put the runtime on everyone’s machine and provide a web version for really collaborative stuff.

Bonus points for an intelligent way to manage these stored in OneDrive and other cloud folders. Easy to get corruption on SQLite files stored there.

I thought that was the point of .me, but apparently that’s actually the Montenegro national TLD despite widespread use for personal sites.

https://en.wikipedia.org/wiki/.me

It’s more economical at a compute level, but not at the developer level. The moment you start customizing your crawler to use protocol X for site Y your scale story collapses.

“Expect to lose some functionality, at least when accessing our resources anonymously.”

This seems fine to me. It would be a better world if we could have anonymous bulk data access. But if aggressive scrapers are bloating host costs, I’m fine with logging in.

Now, the flip side is that ONCE logged in, I want my bulk access. The worst of all worlds with when you demand authentication and then STILL block bulk access.

Case in point, I want to automatically download my Amazon and Target order records. This is easy to automate with playwright or whatever, but authentication stays annoying. My sessions expire quickly and I have to re-auth all the time. There should be an API to pull this data down.

Looks interesting. Might want to double check your website - the Customization / Assistants / MCP pills in your hero aren't working for me