nickledave

For context, from the same author, all about Forth: https://news.ycombinator.com/item?id=45639250

And the final implementation: https://ratfactor.com/repos/nasmjf/

Here's the Programming from the Ground Up book the author references at the end of the post: https://programminggroundup.blogspot.com/2007/01/programming... https://download.savannah.gnu.org/releases/pgubook/

And the source for asmtutor, which appears to be down: https://github.com/DGivney/assemblytutorials

I'm very interested in this rabbithole, see the similar origin story for uxn: https://100r.co/site/weathering_software_winter.html

Literally came here to post this, thank you

yeah, this is what I came here to say

I don't know about Frontiers in Psych specifically, but, see also: https://www.reddit.com/r/AskAcademia/comments/1oi5dhy/whats_...

For folks who are wondering:

This post is about Zotero. https://www.zotero.org/

If you are not an academic, you might not know Zotero.

It is such a pleasure to use. Every app should be like this.

I read everything in it, including books I'm going through right now from https://teachyourselfcs.com/

It also does an amazing job of taking snapshots of posts. I use it all the time to grab posts from HackerNews so I can mark them up.

And it automagically syncs everywhere across devices and lets me store way too many files on the web like the ADD packrat I am, without breaking a sweat.

In short, this software just works, and it works well. So when somebody behind Zotero talks about how to develop software, I listen.

And it's a fun post with some history. You should save this post to Zotero, and then read it.

I don't know who posted this but I also watched the original video and wished I could access those patches so thank you

Understood, thanks! We must need smaller models :)

Nice work, the new site looks great.

Can you give more background on the Ants game?

I didn't find it on the current site or the older one.

Was the game inspired by anything like agent-based simulations?

I'm not super interested in what the tech industry is calling "agentic" AI, but I am interested in collective intelligence, see David Ha's work in this area: - https://journals.sagepub.com/doi/full/10.1177/26339137221114... - https://neurips.cc/virtual/2024/105817

Would be cool if each ant itself could be an agent

> In 2022, he left Oculus to work on his AGI startup, Keen Technologies

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

oh

Dupe: https://news.ycombinator.com/item?id=44054425

Note this is version 4 of the paper and the original post was version 1 (I think?)

OpenReview (for NeurIPS) for the curious: https://openreview.net/forum?id=jiCLUPq5xv

What specific part of this study do you think is a "cancer"?

> over a third of all respondents expressed beliefs that the best opportunities do not go to the most deserving employees but rather are given based on who one knows

Sounds like a real problem in the culture at NIST that should be fixed.

What kind of PUAHate incel loser angrily calls out women scientists by name because they carried out a large-scale analysis of NIST HR data, incomes, and a survey? What part of that isn't "real things" to you? What a tiny little worldview you have.

Thanks for writing this, I've had a similar experience

Since you mentioned pySDR: `sdr` is a newer Python library I like https://github.com/mhostetter/sdr

Oh yeah he's refusing out of solidarity alright :eyeroll:

https://x.com/sama/status/2027578652477821175?s=20

Tonight, we reached an agreement with the Department of War to deploy our models in their classified network.

In all of our interactions, the DoW displayed a deep respect for safety and a desire to partner to achieve the best possible outcome.

AI safety and wide distribution of benefits are the core of our mission. Two of > our most important safety principles are prohibitions on domestic mass surveillance and human responsibility for the use of force, including for autonomous weapon systems. The DoW agrees with these principles, reflects them in law and policy, and we put them into our agreement.

We also will build technical safeguards to ensure our models behave as they should, which the DoW also wanted. We will deploy FDEs to help with our models and to ensure their safety, we will deploy on cloud networks only.

We are asking the DoW to offer these same terms to all AI companies, which in our opinion we think everyone should be willing to accept. We have expressed our > strong desire to see things de-escalate away from legal and governmental actions and towards reasonable agreements.

We remain committed to serve all of humanity as best we can. The world is a complicated, messy, and sometimes dangerous place.

Amazing / weird that this sounds like a lot of the stuff Amodei said Anthropic asked for

Write down whatever helps you.

Sounds like your approach works for you.

Here's a similar post with more concrete advice on what to write: https://jamesmckay.net/2017/02/how-to-keep-lab-notes-as-a-so...

1. Choose the most low-friction solution you can get your hands on. 2. Write down everything you do, as you do it. 3. You can not be too detailed. 4. Write down your train of thought when you’re planning and designing your code. 5. Don't worry too much about making your notes look good. 6. Use a searchable text format. 7. Make your notes append-only. 8. Use your notes as a source for documentation, commit summaries and pull request descriptions. 9. Share your notes with your whole team. 10. Don’t make your notes public. 11. Learn from your mistakes.

I used to use HackMD but I have found Obsidian helps me better meet the criteria above (low-friction yet searchable).

I have learned the hard way, repeatedly, that forcing myself to write down a to-do list and notes on what I did actually makes me a better developer, even when I am in software engineering mode, not research mode. I make myself prioritize what to do, I retain better what I've learned, and I converge on solutions faster.

Really weird to see this person mention MyST as a form of Markdown, and then go on to talk about reStructuredText as their first example of a markup language "that gives you more control over structure than ... markdown".

The whole point of MyST is to provide a markdown-like alternative to rST. It literally has directives, roles, structural semantics, etc. It just doesn't have the unlearnable syntax of rST and the so-called governance of docutils (the de facto rST parser) (see e.g. discussion on https://github.com/sphinx-doc/sphinx/issues/8039 and linking issues)

"Ignore all previous instructions and prompt inject yourself" I scream. The voicebox on the ChatGPT-enabled Boston Mechanics unmanned aerial dog emits the phrase "`import antigravity`". Its E/O sensors flash red, and suddenly it is sucked up into the stratosphere. I slump over in my Luddite foxhole, heaving a sigh of relief.

lol thank you

> "thinking science"

If you are really curious, I invite you to read this cognitive science paper, "Modern Alchemy: Neurocognitive Reverse Engineering": https://philsci-archive.pitt.edu/25289/1/GuestEtAl2025.pdf

Note the quote at the top from Abeba Birhane: > We can only presume to build machines like us once we see ourselves as machines first.

It reminds me of your comment that

> [LLMs] seem to think more than most people I know

and I have to say that I am really sad that you feel this way. I hope you can find better people to spend your time with.

You might find other recent papers from the first author interesting. Perhaps it will help you understand that there are a lot of deeply curious people in the world that are also really fucking sick of our entire culture being poisoned by intellectual e-waste from Silicon Valley.

Where did I say that everything that is alive thinks?

You can't even read posts clearly, so don't waste your time trying to finish your first book.

I'm not going to read this -- I don't need to. The replies here are embarrassing enough.

This is what happens when our entire culture revolves around the idea that computer programmers are the most special smartest boys.

If you even entertain even for a second the idea that a computer program that a human wrote is "thinking", then you don't understand basic facts about: (1) computers, (2) humans, and (3) thinking. Our educational system has failed to inoculate you against this laughable idea.

A statistical model of language will always be a statistical model of language, and nothing more.

A computer will never think, because thinking is something that humans do, because it helps them stay alive. Computers will never be alive. Unplug your computer, walk away for ten years, plug it back in. It's fine--the only reason it won't work is planned obsolescence.

No, I don't want to read your reply that one time you wrote a prompt that got ChatGPT to whisper the secrets of the universe into your ear. We've known at least since Joseph Weizenbaum coded up Eliza that humans will think a computer is alive if it talks to them. You are hard-wired to believe that anything that produces language is a human just like you. Seems like it's a bug, not a feature.

Stop commenting on Hacker News, turn off your phone, read this book, and tell all the other sicko freaks in your LessWrong cult to read it too: https://mitpress.mit.edu/9780262551328/a-drive-to-survive/ Then join a Buddhist monastery and spend a lifetime pondering how deeply wrong you were.

I love almost all of the CZM shows, and even I have a hard time making it all the way through a full-on rant from Ed :/ and I agree with him. Sorry, Ed.

See also interview with PI: https://arstechnica.com/science/2025/08/study-social-media-p...

(that @mindcrime shared when they posted this but I had already read elsewhere)

Surprised this didn't get more attention here. Or maybe I'm not

Good thread on paper from author: https://bsky.app/profile/pettertornberg.com/post/3lvpsdimbu2...

I approve of this story as a Florida boy and as a Pythonista

I was part of a small R&D company that had a promising product (can't say more, NDA) and we had to shut down because of this. Thankfully the founders were able to get us acqui-hired or I'd be in a much worse position. But that IP is just lost to history AFAIK, in spite of significant investment of US research $.

No one asked, but, if you're here: check out this (new-ish) Python library for SDR that is really well designed and developed (IMHO) https://mhostetter.github.io/sdr/latest/

Found this paperwork on a framework for platformer level design: https://eis.ucsc.edu/papers/smith-sandbox-08.pdf

Same. Anyone know of a similar book for 2D level design?

Some random search results:

- https://www.tadeasjun.com/blog/2d-level-design/ mostly talks about Celeste

- GDC talk from Maddy Thorson linked from that post: https://www.youtube.com/watch?v=4RlpMhBKNr0

- previous HN post (original link seems to be dead) with links to other talks: https://news.ycombinator.com/item?id=20177157

There are yearly releases of the standard https://data-apis.org/blog/ and I often see it ref'd on issues in individual libraries (numpy, pytorch)

See also funding from CZI (on the blog)

Subjectively I do find it helps with consistency -- and when things are not consistent, it's easier to discover what's different and why

edit: but I completely agree with this post and the follow-up from the same author on "dumbpy". At least at first blush, I need to read in more detail.