Joined August 2012
- Tweets 3,471
- Following 188
- Followers 1,715
- Likes 1,951
173 Photos and videos
May 15
I wrote a technical blog post on emulating Atari music on an Amiga while using 0% of the CPU. #amiga #atari #demoscene
arnaud-carre.github.io/2026-…
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I just released LSP v1.30, which adds an ADPCM compression option to drastically reduce MOD file size in executables or on disk. As a bonus, no changes to your workflow are required. More details are available in the GitHub README. #amiga #demoscene
github.com/arnaud-carre/LSPl…
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Our "64k-Silhouette" Amiga intro won first place at Revision! Huge thanks to everyone who voted, and massive thanks to @revision_party for putting together such an amazing event for all of us weird nerds! #demoscene #amiga
pouet.net/prod.php?which=105…
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Our 64KiB Amiga intro is available! Please vote at @revision_party :)
pouet.net/prod.php?which=105…
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This year, Oxygene is releasing its first 64KiB Amiga intro at the great @revision_party! We hope you’ll enjoy it! (Competition starts on April 4 at around 10 PM.)
2026.revision-party.net/
#demoscene #amiga
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Mar 30
Awesome and funny! so much memories from childhood! #arkanoid #taito #amstrad
youtu.be/b7aa7Dajw0M?si=Tjw0…
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Feb 20
I’m tired of all these threads debating the “safety” of programming languages. If you write code without bugs, you’ll be safe—no matter which programming language you use.
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Jan 16
To me, this tiny device is the climax of engineering
Inside a TO-18. metal encapsulated transistor
legendary 2N2222 transistor.
The transistor is actually a small silicon cube with wires connecting 3 terminals, being one of them to the metal body.
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Very nice video about a SDF engine. The amount of different tech involved in order to render very large and dynamic SDF world, with any amount of SDF primitives , including physics, is crazy!
I just released my video about the engine (and game) I've been working on.
The engine is based on dynamic SDFs, and the video describes how it works and what it makes possible.
Link in the reply!
This is my first YouTube video and it took forever - please repost!
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a book about how to debug motion vectors in your graphics engine :)
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Arnaud Carré retweeted
22 Nov 2025
A beautiful visual proof.
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2 Apr 2024
The graal trophy for any demoscener! Our second Meteoriks!
2016: "best low end demo" for "We Were @"
2024: "Outstanding Technical Achievement" for "Cycle-Op" Amiga demo
As a lifelong CPU cycle optimization nerd, this one means a lot to me!
Thanks @meteoriks ! #demoscene
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16 Nov 2025
cycle-op: pouet.net/prod.php?which=941…
We Were @: pouet.net/prod.php?which=667…
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5 Nov 2025
Here is L-Packer, my new Atari & Amiga executable compressor! Optimized for 64K-style demos, it balances high compression ratios with efficient decompression. Feedback and testing are welcome! More details here github.com/arnaud-carre/L-Pa…
#demoscene #amiga #atari
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4 Nov 2025
1 day estimated to delete 216GiB on a fast PC! I hate NTFS... If my 40 years AMSTRAD CPC supported large disk, it would have take few cycles (because it just write 0xe5 char on the directory name first char :) )
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4 Nov 2025
I wish I could have a very simple filesystem in a dedicated NTFS disk. Like, no journaling, no file permissions etc. But very fast delete. Could be awesome for temp building directories
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Arnaud Carré retweeted
28 Oct 2025
A few months ago, demoscene was inscribed in the national intangible cultural heritage in France. #AtariST computers appear often in this French video youtu.be/_skK8JU1CPQ #atari #demoscene
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20 Oct 2025
Think different!
15 Oct 2025
i made a chrome extension that hides all website content except ads
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13 Oct 2025
No need for software or IC :)
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7 Oct 2025
Use AI to train compressors on your specific data. Awesome!
6 Oct 2025
OpenZL - outperforms zstd, xz, gzip, and Blosc on multiple real-world datasets with 10x (!!!) speed improvement
Another huge win when computations represented in a form of graph (DAG)
Meta / OpenZL: A Novel Data Compression Framework
It's not a new algorithm. It’s a new architecture for composing existing algorithms. Its power comes from the graph abstraction, automatic training, and self-describing format that let you quickly build specialized compressors for different data types without rewriting or deploying new decoders.
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