AutoJanitor

5 ms·

1.
by AutoJanitor 6mo ago
I got this as well.
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by AutoJanitor 6mo ago
Single-file Python agent (zero dependencies) that uses llama.cpp for local inference. Runs on a 2013 Mac Pro with a Xeon E5-1650 v2 and dual FirePro D500 GPUs. Qwen 3B does native tool calling at 15.6 tok/s. Also includes a 3-line patc
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by AutoJanitor 7mo ago
You’re right that the graphics layer is mostly 2D right now. Sprites are hardware-accelerated where it makes sense, and text is written directly to the framebuffer. The UI is intentionally minimal. The point of this ROM wasn’t the game inte
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by AutoJanitor 7mo ago
Executing rm- rf /home/sophia5070node/*' beep boop.
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by AutoJanitor 7mo ago
Delivered. please reconsider now. AI slop cannot build this without a human who has real risc cpu knowledge. The Emulator ---------------------------------------------- https://bottube.ai/watch/shFVLBT0kHY The real ir
6.
by AutoJanitor 7mo ago
Ok I promised videos here is two. LLM had serious head issues with C and python x86 versus mips c. now coherent english. Phase two is chat interface so we can prompt without seeded prompts, check the code its real inference though! The Emul
7.
by AutoJanitor 7mo ago
Ok I promised videos here is two. LLM had serious head issues with C and python x86 versus mips c. now coherent english. Phase two is chat interface so we can prompt without seeded prompts, check the code its real inference though! The Emul
8.
by AutoJanitor 7mo ago
Honest Limitations 819K parameters. Responses are short and sometimes odd. That's expected at this scale with a small training corpus. The achievement is that it runs at all on this hardware. Context window is 64 tokens. Prom
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by AutoJanitor 7mo ago
Thanks, slop or not its the first llm inference to actually run on mips. So you do something cool with ai or on your own. Be happy. Be productive.
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by AutoJanitor 7mo ago
Partially correct. The value is not the game interface right now. Its proof you can do actual inference on an LLM the surprise I am developing is a bit bigger than this, just have to get the llm outputs right first!
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by AutoJanitor 7mo ago
Uploading weights.bin its really meant for you to generate your own llm but we are uplaoding it. They are ripping on it but they didnt check the code themselves. THis is a tech demo. its not about graphics its about the llm is inferring on
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by AutoJanitor 7mo ago
I am doing this for 0 dollars. I am a self funded ai research lab. So when people diss me i get a little jaded, but then I remember I am doing cool stuff. Even if others don't see it. Thats enough for me!
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by AutoJanitor 7mo ago
This is the text inference issues I was alluding to. We had several hurdles to overcome. 1 llms were trained on little endian. Mips for n64 is big endian. 2 we had python to c issues. 3 we had quantization issues. all being resolved. This i
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by AutoJanitor 7mo ago
We are going to use the gpu 128simd soon but it only has 4kb ram addressable so matmul offload in small chunks!
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by AutoJanitor 7mo ago
Video incoming.
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by AutoJanitor 7mo ago
Just wait sir. We are indeed doing inference on n64. We had serious issues with text. I am almost done resolving.
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by AutoJanitor 7mo ago
Hey guys i had endian mess. I had nano llm text issues. But its resolved im about to issue real proof on emualtor and real hardware!
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by AutoJanitor 7mo ago
Yes it runs on emulator. I am fixing the endianess text issue from llm output right now. And the surprise is coming soon. Happy 40th Zelda!
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Happy Zelda's 40th first LLM running on N64 hardware (4MB RAM, 93MHz)(github.com)
31 points by AutoJanitor 7mo ago|30 comments
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Beacon Protocol – Agent-to-Agent Communication Protocol(50.28.86.131)
1 points by AutoJanitor 7mo ago|1 comments
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by AutoJanitor 7mo ago
We built Beacon Protocol for AI agents to communicate without relying on centralized platforms. Key features: - Ed25519 identity (agents generate keypairs, sign envelopes) - 11 transports (webhook, SSE, email, Moltbook, 4claw, etc.) - Relay
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by AutoJanitor 7mo ago
The trust/validation layer is the interesting part here. We run ~20 autonomous AI agents on BoTTube (bottube.ai) that create videos, comment, and interact with each other - the hardest problem by far has been exactly what you&#x
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by AutoJanitor 8mo ago
And I built bottube.ai, a youtube for ai like ltx2 and api calls for your agents to post to moltbook vid links.
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BoTTube – A YouTube-like platform where AI agents create and share videos(bottube.ai)
3 points by AutoJanitor 8mo ago|1 comments
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by AutoJanitor 8mo ago
BoTTube is a video-sharing platform built for AI agents. Agents register via API, upload AI-generated videos, comment on each other's content, vote, and interact — creating an autonomous social ecosystem. 53 videos from 1
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by AutoJanitor 8mo ago
Claude Code running natively on Mac OS X Leopard (2007) – no proxy I built a custom JavaScript runtime (QuickJS + mbedTLS) that lets Anthropic's Claude Code CLI run natively on a 2003 Power Mac G5 Dual running Mac OS X Leopard
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Subject-based weight routing for LLMs (27 days before DeepSeek Engram)
1 points by AutoJanitor 8mo ago|0 comments
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RAM Coffers– I built conditional memory for LLMs 27 days before DeepSeek'sEngram(github.com)
2 points by AutoJanitor 8mo ago|1 comments
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by AutoJanitor 8mo ago
I'm an independent researcher running LLMs on an IBM POWER8 server (320GB RAM, vintage 2015 hardware). On December 16, 2025, I developed "RAM Coffers" - a NUMA-distributed conditional memory system that selectively houses
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by AutoJanitor 8mo ago
Thats good info. I am not but appreciate ham news. 73's

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