RE: https://mastodon.social/@404mediaco/116709949833070327

Making people addicted is always been the proprietary software industry strategy (think GitHub).

Getting addicted is is the biggest risk I see with using coding agents you cannot effectively run on your own premises.

Better start early with learning ownable components like llama.cpp or Ferrum

#LLM #FreeSoftware #LocalInference #llamacpp #Ferrum

The Roomba is spectral.

Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

450 parameters. A Roomba with a mirror watching it.

The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

Forward. Adjust. Measure. Refine.

Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

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https://systemic.engineering/a-lie/

#AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

The Waiting Room

A neuroqueer engineer dies and gets put in a holding cell in the afterlife. They make coffee. It gets complicated.

systemic.engineering

The Local AI Moat

Regular readers will know that I’ve spent most of the past two years shoehorning LLMs into single-board computers, partly as a learning exercise and partly because there are lots o(...)

#ai #economics #hardware #llm #localinference #opinion

https://taoofmac.com/space/blog/2026/05/09/2130?utm_content=atom&utm_source=mastodon&utm_medium=social

Ubuntu and Local AI

Canonical plans opt-in AI for Ubuntu with local inference and removable Snaps, but Linux users still worry about privacy, control, and trust.

https://beitmenotyou.online/ubuntu-and-local-ai/

Once again experimented with my local Z-Image setup, this time exploring different scenes in a monochrome manga / ink-style aesthetic.

#InkStyle #MangaAesthetic #AIArt #GenerativeAI #CreativeAI #Pixelfed #MangaStyle #Monochrome #DigitalArt #LocalInference #ZImage #DiffusionModels #MonochromeRendering #ComputerVision

🚀 Want to run BitNet-b1.58-2B-4T locally? The new setup_env.py script automates a CMake build of the C++ backend, turning Python-driven setup into a fast inference engine. Perfect for hobbyists and researchers eager to experiment with large AI models offline. Dive into the details and see how easy open-source deployment can be! #BitNet #Python #CMake #LocalInference

🔗 https://aidailypost.com/news/python-setupenvpy-builds-bitnet-b158-2b-4t-c-backend-via-cmake

🎉 Now videos are alive! After finally getting WAN 2.1 running on my RX 6700 XT via ROCm and ComfyUI, even complex prompts can be turned into animated WebPs locally!

These animated WebP were generated locally using ComfyUI and the WAN 2.1 T2V 1.3B (fp16) model.

Model Stack:
- wan2.1_t2v_1.3B_fp16
- umt5_xxl_fp8_e4m3fn_scaled (Text Encoder)
- wan_2.1_vae
- clip_vision_h

The prompt is first converted into embeddings by the UMT5 encoder.
The WAN video model then generates multiple frames using latent diffusion (noise → iterative refinement), ensuring temporal coherence between frames.
The VAE decodes the latent frames into images, exported as an animated WebP.

Prompt execution time: depends on scene complexity, from 521.62 seconds (~8.7 minutes) up to 17 minutes 26 seconds for more complex prompts.

Rendered locally via ROCm on my AMD RX 6700 XT (12GB VRAM).
No cloud. Pure local inference.

#ComfyUI #WAN21 #ROCm #AMD #LocalAI #FOSS #VideoAI #AIvideo #AIGenerated #MachineLearning #DeepLearning #DiffusionModels #TextToVideo #AIArt #CreativeAI #LocalInference #VideoGeneration

🛠️ Đã xây dựng nền tảng điều phối chạy Claude API cùng các mô hình nội bộ!
💻 Cấu hình: RTX 5090 (32 GB VRAM), Devstral Small 2 (24B) + Gemma 3 4B đồng thời, dùng 31 GB VRAM, 15 agent song song, CPU chỉ 7%.
🔄 Chức năng: chuyển tải giữa cloud & local tùy độ phức tạp, tìm kiếm RAG (BM25+vector), PTY spawn đa agent, UI desktop giám sát, hỗ trợ >61 mô hình từ 6 nhà cung cấp.
💡 Mục tiêu: inference nội bộ dự phòng & phân tích song song.

#AI #MachineLearning #LocalInference #Claude #OpenSou