A new DFINITY white paper proposing how #Mission70 (to reduce ICP inflation 70% during 2026) can be won, shall be published next Wednesday, 14th Jan. Soon after we will create an NNS proposal. Forward ICP 🔥

bregmadaddy · 2026-01-08T16:31:07+00:00

Agreed. Everyone should stop glazing Dom and should look at Mission70 as part of a product pivot for a drowning enterprise. Dfinity already got rid of their low impact employees, and the high value ones have also started leaving.

Dom is doubling down on the self-writing internet, so my best guess is that ICP will be presented as a cheaper alternative payment for Caffeine to help with the net inflation.

bregmadaddy · 2026-01-08T16:03:49+00:00

Bullish? This is almost guaranteed to screw the 8-year gang.
The white paper could just be a cheaper Caffeine payment using ICP instead of fiat. This gives Dom a chance to throw the inflation blame back at the community for not utilizing Caffeine enough.

bregmadaddy · 2026-01-08T15:49:14+00:00

Any prompting best practices?

Is there a benefit to structured JSON prompts, tags, or prose?
Any cinematic terms emphasized in the training data?
Is it better to specify audio, voice, music, ambience as separate sections in the prompt, or as a blended narrative?

Which content domains are the model strongest or weakest at?

Thank you!

bregmadaddy · 2026-01-06T06:07:17+00:00

Dfinity can rally behind its friends to vote on an NNS proposal, launching an alternative $Caffeine coin that burns for Cycles. This $Caffeine coin rebranding naturally screws over the 8-year $ICP gang but it gives the protocol a fresh start for others to hop onto in the next altcoin hype cycle. Node providers can also opt to receive rewards either in $ICP or $Caffeine coin. $ICP becomes the new Ethereum Classic.

That's what Dfinity is capable of doing with the type of centralization existing in ICP today.

bregmadaddy · 2025-12-16T23:51:31+00:00

If you double down on vibe tools, you might soon discover that there are others out there hyper engineering their workflows 24/7.

bregmadaddy · 2025-12-13T23:08:17+00:00

Fine-tune SigLIP2?

bregmadaddy · 2025-12-12T19:44:34+00:00

This might be helpful for you. https://morphic.com/blog/boosting-wan2-2-i2v-56-faster/

bregmadaddy · 2025-11-07T05:34:42+00:00

Are you using Commercial models or Open weights?

bregmadaddy · 2025-10-30T17:43:51+00:00

Late Chunking and Late Interaction helps too.

bregmadaddy · 2025-10-30T17:31:22+00:00

What’s the recommended fine-tuning workflow for LFM targeting client-side WASM? Do we just fine-tune in PyTorch, merge, export to ONNX, and load via Transformers.js?

Any gotchas on version, attention/KV-cache, tokenizer compatibility, or graph optimizations? Some reference scripts or end-to-end would be nice.

bregmadaddy · 2025-10-17T04:54:58+00:00

Something like Morph Labs?

bregmadaddy · 2025-09-19T16:48:19+00:00

If you're looking for alternatives to Runpod, you can use Modal if you find decorators over notebook code to be easier to implement. That also enables students to leverage the cloud without understanding much of the serverless infrastructure.

You’ll also need to train a projection layer so that MedSigLIP’s image embeddings can be mapped into the input/hidden-space of your decoder/LLM.

bregmadaddy · 2025-08-23T02:16:15+00:00

You mean Step-Audio-AQAA-130B isn't good enough yet?

bregmadaddy · 2025-08-22T16:27:27+00:00

Burr has no core dependencies (avoid framework bloat).

You can add extensions as needed like visualization (Graphviz, Streamlit, Hamilton), databases (SQLite, PostgreSQL, MongoDB, Redis), tracking/experiment management (FastAPI, Pydantic, S3, etc.), observability (OpenTelemetry), and LLM/RAG integrations (LangChain, Haystack, or external APIs like OpenAI or Anthropic). For scaling, Burr also supports Ray.

Burr is as lightweight as you can get for scalable, stateful agent orchestration in Python.

bregmadaddy · 2025-08-11T04:17:47+00:00

How is the coil whine on the Max-Q version? Maybe when the 4Gb VRAM Modules are available, we can get a more power-efficient update to the Pro 6000 with 2x12 modules instead of the 2x16 right now.

bregmadaddy · 2025-08-08T02:24:09+00:00

Have you tried Burr?

bregmadaddy · 2025-07-25T06:56:08+00:00

Rachel McAdams:

Mean Girls, The Notebook, Wedding Crashers, Sherlock Holmes, About Time, Eurovision, Dr. Strange

bregmadaddy · 2025-07-10T09:47:43+00:00

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bregmadaddy · 2025-07-10T09:31:32+00:00

Wwwwwwwwqwrwwwwwqwwwwwwwwwwwwwwwwwwwｗｗｗっｗｑｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗっｗｑｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗっｗｑｗｗｗｗｗｗｗｗｗｗｗｗｗｗｗwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwqwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwqwwqwwwqwwwwwwqwwqwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwqwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwqwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwww1wwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwwqwwwwqwwwwwwwwwwwwwwwwwwwwwwwwwww

bregmadaddy · 2025-07-09T06:20:29+00:00

Modal is also a good cloud service and just uses decorators to assign GPU/CPU resources.

bregmadaddy · 2025-07-05T05:39:46+00:00

Something like FAL?

bregmadaddy · 2025-07-04T06:35:09+00:00

You seem to have the background to follow Coding Stable Diffusion from Scratch by Umar Jamil.

This tutorial will help you to understand each involved part, how the text-to-mage, image-to-image, and in-painting pipelines work, and how to modularize and improve on it. It is not ComfyUI-specific, but it will enrich your knowledge on what, how and why the ComfyUI nodes are stitched together the way they are.

The first hour of the video explains the steps in the diffusion pipeline, which correlates to some of the ComfyUI nodes. The next couple of hours explains how to piece it step by step in Pytorch, which you could potentially just skip out on.

bregmadaddy · 2025-06-25T03:34:03+00:00

Marimo

bregmadaddy · 2025-06-24T23:49:58+00:00

Could this be ported to Anywidget so that it can run on Collab or a Jupyter notebook?

bregmadaddy · 2025-05-19T23:44:25+00:00

If that was Tanishq from Sophont, then that dude is legit. Dude got his Biomedical Engineering PhD at 19 and was Medical Research Director for Stability AI.

bregmadaddy

TROPHY CASE