schemers used a good old `compose` instead of a dedicated syntax

and beside multiple-args, there's the usual threading macros

    (-> [1 2 3] f g)

Always loved using old hardware with recent understandings.

I don't think there's anything recent here, they are just pre-computing a normal map which doubles as already "baking" a 3D-looking image in.

Was there anything of that sort made during the gbc era on this hardware ? I thought nobody ever attempted it before

Not exactly this, but many "3D games" were pre-computed scenes. The normal map is the novel bit of this demo.

Ok, and at the time, was anybody even thinking about computing normal maps this way on such hardware ? that was my original though, "maybe" this is the result of applying more recent ideas for this group to hardware that wasn't made to support it. But maybe i'm wrong and people did try.

Makes me wonder who printed their motherboards early on

Great link, he also discusses the start of his lab. The discovery of bioelectricity induced eye "modeling" was ..kinda crazy.

Also, I've been trying to find people to discuss this, so I set up a discord server:

https://discord.gg/gdaSgDgC5y

if anyone is interest (note: i'm just a software engineer, not in biomedicine or bioelectricity yet). if there are already long running discord servers then i'd rather join these instead :)

That was my first question. Somehow people thought that a tool able to generate an entire fullstack app from a few sentences is not capable of inferring needs based on context or customer directly.

    Location: Paris, FR
    Remote: full remote
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    Technologies: Python, Typescript, Lisps, React, Django, FastAPI, Postgresql, Gitlab/ci, Docker
    Résumé/CV: https://registry.jsonresume.org/jnpn?theme=elegant
    Email: johan.ponin.pro@gmail.com
    Schedule: Part-time (10/20h per week)

Senior Fullstack Developer | 12+ Years | Seeking Long-Term Collaboration as Freelance

Currently employed but looking to build relationships with teams that value craftsmanship and velocity. I'm offering competitive rates ($70-90/hr) for the right fit - prioritizing team culture and interesting problems over maximizing income.

What I bring:

- 12+ years shipping production code

- Dev tooling expertise (recently: custom Babel AST analyzers for faster debugging)

- US timezone compatible, fluent English for technical discussions

- Proactive problem-solver who improves processes, not just writes tickets

Availability: 10-20 hours/week (flexible evenings/weekends)

Ideal projects:

- Teams with strong engineering culture who build ambitious things cleanly and fast

- Greenfield development or systematic refactoring

- Bonus: Highly formal/industrial model-driven environments and FP/Logic Programming environments (Clojure, Haskell, Scala, Prolog)

Open to reduced rates or pro bono work for compelling mission-driven projects in healthcare, education, ecology.

Open to chat if you value quality over speed-at-any-cost.

Links:

https://registry.jsonresume.org/jnpn?theme=elegant

https://github.com/jnpn

https://mastodon.social/@jnpn

Interesting, just the other day I tried asking if iterating in haskell or prolog wouldn't help both converging speed and token use. I wish there was a group to study how to do proper engineering with LLMs without losing the modeling / verification aspect.

    Location: Paris, FR
    Remote: full remote
    Willing to relocate: no
    Technologies: Python, Typescript, Lisps, React, Django, FastAPI, Postgresql, Gitlab/ci, Docker
    Résumé/CV: https://registry.jsonresume.org/jnpn?theme=elegant
    Email: johan.ponin.pro@gmail.com
    Schedule: Part-time (1 week a month minimum)

Hello, I'm a senior (11+ years) fullstack dev looking for secondary job part time, between 5 and 10 days, US timezone possible (would fit right after my main job). Development or maintenance. I like working clean and fast, improving development tools to increase velocity / faster debugging (writing short babel ast analyzers at the moment). Fluent enough in English to hold conf calls with US teams. I'm proactive, well rounded personality. Seeking very high speed teammates, I enjoy learning new paradigms too. Willing to lower hourly rate in the 40-50 usd range if needs be. Volunteering is possible depending on the domain.

Also open to FP or logic programming (lisp/clojure, haskell/scala, prolog). Especially highly formal/industrial model-driven environment.

Thanks in advance for reading

https://registry.jsonresume.org/jnpn?theme=elegant

https://github.com/jnpn

https://mastodon.social/@jnpn

Can't find the links right now, but there were some papers on llm generating prolog facts and queries to ground the reasoning part. Somebody else might have them around.

There's a lot of work in this area. See e.g., the LoRP paper by Di et al. There's also a decent amount of work on the other side too, i.e., using LLMs to convert Prolog reasoning chains back into natural language.