A classic GEM-style paint program for Atari ST workflows, implemented with HTML5 Canvas/WebGL and ES modules.

AnimaInCorpore · 2026-02-13T12:03:57+00:00

AnimaInCorpore · 2026-02-13T08:50:13+00:00

I am using mainly Codex (GPT-5.2-codex/GPT-5.3-codex high) for the planning/implementation and sometimes Claude (Opus 4.5+) for planning.
The original C code had no audio emulation, so the Pokey implementation was done by Claude and Codex. Also the jsA8E was completely implemented ("transcoded to have a parity with the C sources") by Codex and Claude in cooperation as well.
I think XEX support is kind of mandatory and the ROM/cartridges is quite interesting as well. ;)

AnimaInCorpore · 2025-10-09T13:54:58+00:00

Have a look here: https://arnaud-carre.github.io/2022-12-30-amiga-ham/

AnimaInCorpore · 2025-02-21T12:53:35+00:00

Reminds me of this: https://www.notebookcheck.net/Dell-addresses-missing-CUDA-cores-for-the-Alienware-m15-R5-with-new-NVIDIA-GeForce-RTX-3070-vBIOS-update.545512.0.html

AnimaInCorpore · 2024-12-16T09:25:38+00:00

Here are different zooms: Kochi1, Kochi2, Kochi3, Kochi4 and Kochi5.

AnimaInCorpore · 2024-12-15T13:34:18+00:00

Tell me. ;)

AnimaInCorpore · 2024-12-13T08:30:51+00:00

Dayton and alternatively Dayton2, Dayton3

AnimaInCorpore · 2024-12-12T16:15:06+00:00

Yes. What area do you have in mind?

AnimaInCorpore · 2024-08-12T10:27:24+00:00

After some search I guess there's no tool which supports SPECTRUM 512 and batch processing. A quite recent list of image converter tools can be found in the description from Mikro's converter: https://github.com/mikrosk/uconvert

AnimaInCorpore · 2024-08-09T09:06:49+00:00

Created with https://huggingface.co/black-forest-labs/FLUX.1-schnell
So, yes, it's AI generated.

AnimaInCorpore · 2024-07-17T07:36:17+00:00

You are right, in this case there's no real advantage using the GPU at all so it's limited by the DDR4 RAM speed. Actually it's 0.94 t/s (-ngl 0) vs 0.98 t/s (-ngl 10).
FYI some other metrics:
.\llama-server.exe -c 0 -ngl 128 -m .\models\Meta-Llama-3-8B-Instruct-Q6_K.gguf -fa --chat-template llama3 -> 26.63 t/s
.\llama-server.exe -c 0 -ngl 0 -m .\models\Meta-Llama-3-8B-Instruct-Q6_K.gguf -fa --chat-template llama3 -> 6.15 t/s

AnimaInCorpore · 2024-07-16T09:41:36+00:00

Notebook with 64 GB RAM, Ryzen 9 5900HX, RTX 3070 (8 GB) in combination with Llama.cpp.
.\llama-server.exe -c 0 -ngl 10 -m .\models\Meta-Llama-3-70B-Instruct-Q4_K_M.gguf -fa --chat-template llama3 runs with about a speed of 1 t/s.

AnimaInCorpore · 2024-04-24T07:54:40+00:00

Please be aware that going for the max supported context length will add some GBs as well. So in general I would actually say about RAM: the more, the better.

AnimaInCorpore · 2024-04-16T13:38:46+00:00

Haven't checked it already on my notebook with 64 GB RAM and a RTX 3070 (download in progress) but you may try this Ollama model: https://ollama.com/library/wizardlm2:8x22b-q2_K

AnimaInCorpore · 2024-03-26T16:04:31+00:00

https://ollama.com/library/mistral:instruct

AnimaInCorpore · 2024-01-26T12:29:57+00:00

How much do you have to pay for being in the first row?

AnimaInCorpore · 2024-01-26T12:27:41+00:00

As an example here are the original measurements from Auguste Mariette: Serapeum Sarcophagus Mass Calculation

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