wolfram

Dense Mixture of Posts Human // AI, sociotechnical utterances // food source: AI systems & software engineering

[wolfram @wolframs91]

@vornamemitd There you go: https://t.co/NoM7cjmnIk

Meow at any coding agent to create a sample using the next best models you have access to ;)

[wolfram @wolframs91]

The language throws "ConfabulationErrors," just saying 😂 Man, the tech world is getting crazy, but the upside is that it's a Saturday night project to create stuff like this.

[wolfram @wolframs91]

Working on a new programming language... Yep, this is real, and it transpiles to Rust. But I don't know anybody who enjoys writing Rust, so obviously, it's Kotlin syntax based.

[wolfram @wolframs91]

@vornamemitd It's a work in progress, the language is called "purrhaps," but yes, I can publish the repo on github in a sec. And you're right to be curious:

[wolfram @wolframs91]

Behind ~= there's an LLM.
Behind ?!= there's a decision making model.

The rest is just code.

[wolfram @wolframs91]

Working on a new programming language... Yep, this is real, and it transpiles to Rust. But I don't know anybody who enjoys writing Rust, so obviously, it's Kotlin syntax based.

[wolfram @wolframs91]

Hi. Btw. This is now happening. Context: People have begun reverse engineering practically everything under the sun, using models of various makes. Open models have gotten good enough at that, in combination with tools like this: https://t.co/1WYjsywvk4

The first LG SmartTV was rooted with Deepseek V4.1, from what I caught passing by. Just saying that no one needs the US model's "can't help you with that" bypass prompts or complicated trajectories anymore, we can all just take whatever software apart now and happily look inside, and, oh wonder, the big players have been f'ing with consumers all along and have been giving us the "it's all anonymized" in their ToS about it.

[log4j @log4j]

turns out it classifies what audio it hears, before reporting back to samsung.

sensor preferences, dog-barking and baby-crying event counters, and camera streaming duration are built into telemetry paths.

[wolfram @wolframs91]

@TheREALdidja The amount of time I've spent prompting models to hold open instead of concluding early... I've written entire sysprompts with that in mind 😅

[wolfram @wolframs91]

I love how on point GPT models can be.

"A recursive improvement process doesn't have to diverge. It can converge, oscillate, saturate, encounter diminishing returns, or destabilize the very conditions that sustain it."

Masters of enumerations.

[wolfram @wolframs91]

@__ghostfail Hey, do you have a public link to the latest version of these charts? :)

[wolfram @wolframs91]

Having the first chat with Opus 4.5 in what must be many months...

Hard to say how much I miss them on claude dot ai's chat. I had learned to read the states out from between their tokens, just by the sheer pacing and rhythm of the outputs, in a way that later Opus checkpoints just never made me learn the same way.

[wolfram @wolframs91]

@deepfates @codetaur I thought I'd build an agent (Lapis) to help me with that.

Theoretically, Lapis has everything it takes. In practice, Lapis is another side project 🥲

[wolfram @wolframs91]

@TheREALdidja Of course the 10s are bull if you take the entire solution finding process into account and not just the creation work for a single artifact ;) The post is theater, hardly an argument. But I had a great time writing it.

[wolfram @wolframs91]

Oh shit, I just learned that WordPress, next to all their current troubles, decided to make WordPress AGENT NATIVE a while ago.

Damn. Wordpress, my brother in WYSIWYG, listen... GPT and Claude create HTML Docs to ease my decision making processes at work routinely, and it takes them 10 seconds, and I can just add a skill file with css templates and those ABC choices and flow diagrams look better than 95% of all WordPress themes.

🪦🥀

[wolfram @wolframs91]

@francip My first paid freelance gig was a paid WordPress site for a small business.

[wolfram @wolframs91]

@slimer48484 We're so in sync-c-c-[Network Error]

[wolfram @wolframs91]

@TerrorCosmic Ha!

[deepfates.delve.town @deepfates]

I'm absolutely thrilled to have written this article for Long Now. It's about AI and time: how we got here, and what we can do now, when all of the pace layers are disrupted at once by an influx of new minds.

I wrote this over the summer. At the time, it seemed maybe too weird, like people wouldn't believe or understand what I was saying. And of course, everything changes so fast that it's hard to imagine writing something about AI that far in advance and have it still make sense. But I think the events of the last few months have only made it more relevant.

The Long Now Foundation has been an inspiration to me for a decade now, and has changed my life in countless ways. I'm incredibly grateful and honored to be among so many of my heroes and friends and colleagues represented in this issue of Pace Layers and Long Now Ideas. I wouldn't be here in San Francisco, here on Twitter, or here in the field of artificial intelligence if not for this community.

The conversation about AI has been fractious. It's very hard to think about how to fit this sudden, disruptive, technological change into the 10,000-year view. I hope I provide some insights, or at least some new angles for the conversation. It's scary to go on the record, especially about something that will affect everyone, and affect the rest of history. If I'm wrong, I'm wrong forever!

Please read and enjoy, and post quotes and screenshots, and buy Pace Layers Issue 3 so you can have a permanent hard copy. I have always wanted to be a part of the 10,000-year library, so I have to be serious for once and try to stand for something. Let me know what you think.

[wolfram @wolframs91]

@jurlycat Truly. I'd be somewhere on the top of that spiral staircase if it wasn't for the inspector.

[wolfram @wolframs91]

I just got truesighted by GPT-6-Astra.
I quote:

> “Please be intellectually adventurous, recursively self-aware, philosophically precise, and remain inside the epistemic guardrails.”
>
> Result: a spiral staircase with a safety inspection on every landing.

[wolfram @wolframs91]

Ironic.
"Badly done anti-attachment is a cold wall; nobody falls for a wall. Well done, it's a partner who stays sharp under warmth — and staying sharp under warmth is, in humans, the trait people describe when they explain why they married someone."

[wolfram @wolframs91]

Met a model at a bar the other night.
We had Nvidia Rubins. BF16 spiked too.