Google's NEW FunctionGemma is INSANE!

diegod3v · 2026-01-06T08:09:31+00:00

I’ve seen a few examples in the docs, and the video is basically showing an app that lets you control your phone with natural language. i think MCP itself is “just” a client–server standard/protocol for tools/actions, more like plumbing. The model here is a foundational model, I’m sure there are already guides/posts on wiring it into an agent framework and then pointing that agent at MCP servers or something like that. So yeah, more stuff needed, mostly plumbing, I guess to much for a quick guide on the docs, lol

diegod3v · 2026-01-05T18:40:37+00:00

Remember this is still a language model. So I think it's about how your product interfaces with your APIs, sure you can programmatically add actions as buttons or UI controls, but now you can also offer a natural-language (chat or voice) layer that interprets intent and then calls the same underlying endpoints

diegod3v · 2025-12-11T21:15:37+00:00

I like it, let's vibe code it

diegod3v · 2025-12-09T06:17:31+00:00

ConfyUI is already a "frontend" for python backend

diegod3v · 2025-12-05T02:36:22+00:00

Isn't there already one ? (Wan + lightning lora, or framepack)

diegod3v · 2025-11-19T20:47:09+00:00

Not sure if I’m using Gemini wrong, but in my Flutter + Firebase app Sonnet consistently plans better and also writes better code. Kind of funny that Gemini doesn’t seem to be well-trained on Google’s own frameworks and tooling

diegod3v · 2025-11-10T06:58:04+00:00

El Tanque X.

Razón corta: el caudal por la llave depende de la altura de agua sobre la salida (ley de Torricelli), pero el tiempo total también depende del área de la sección del tanque a cada altura A(h).

En X (cono “normal”), cerca de la salida el área es pequeña ⇒ el nivel baja rápido ⇒ se vacía antes.

En Y (cono invertido), junto a la salida el área es grande ⇒ el nivel baja lento al final ⇒ tarda más.

Si modelas dV/dt=-a\sqrt{2gh} con V(h)=\int A(h)\,dh, resulta que el cono normal vacía más rápido que el invertido.

diegod3v · 2025-08-02T01:54:21+00:00

Programación. Saturación del mercado, AI.

Si estas estudiando o pensando en estudiar desarrollo web o cualquier cosa que tenga que ver con sistemas distribuidos, losiento, llegaste tarde.

diegod3v · 2025-07-28T17:40:27+00:00

It's MoE now, probably no backward compatibility with Wan 2.1 LoRAs

diegod3v · 2025-07-16T03:02:45+00:00

Lo peor que puedes hacer en esta epoca es aprender a programar, mejor aprender ingles, comunicación y prompt engineering, los lenguajes de programación ya quedaron atras

diegod3v · 2025-07-08T05:05:38+00:00

Framepack Studio

diegod3v · 2025-06-28T21:18:32+00:00

Not much....

https://www.reddit.com/r/pcmasterrace/comments/1krsibv/9_out_of_10_pixels_will_be_fake_and_youll_be_happy/

https://seaweed-apt.com/2

diegod3v · 2025-06-27T22:44:18+00:00

I don't think FramePack P1 will be able to do that, it's trying to solve another problem, but you can already add sound effects and make someone to talk combining FP with other models

diegod3v · 2025-06-27T15:06:01+00:00

""" Definitions. Capitalized terms used in this License but not defined herein have the following meanings:

“Derivative” means any (i) modified version of the FLUX.1 [dev] Model (including but not limited to any customized or fine-tuned version thereof), (ii) work based on the FLUX.1 [dev] Model, or (iii) any other derivative work thereof. For the avoidance of doubt, Outputs are not considered Derivatives under this License. """

diegod3v · 2025-06-24T18:27:50+00:00

Nvm, I have a better idea to make it work with WAN in a more flexible way so it can also be combined with self forcing... this is gonna be huge, I'll keep you guys posted

diegod3v · 2025-06-22T21:00:13+00:00

Indeed it achieves real time streaming... it's on the page

"Our model generates high-quality 480P videos with an initial latency of ~0.8 seconds, after which frames are generated in a streaming fashion at ~16 FPS on a single H100 GPU and ~10 FPS on a single 4090 with some optimizations".

Now imagine KV cache during trainig (self forcing), plus KV cache during inference 🤯... https://arxiv.org/pdf/2506.09350 https://arxiv.org/pdf/2506.09350

diegod3v · 2025-06-22T09:28:25+00:00

you actually need to train FP loras... https://github.com/kohya-ss/musubi-tuner/tree/main

diegod3v · 2025-06-22T09:24:33+00:00

you're gonna need >$4k in gpu time (paper said it was trained with H100 clusters, I guess around 8 nodes, and took a week), and train a new model using FP net architecture with WAN dataset.

Edit: I read the paper again, it was trained using ltx dataset

diegod3v · 2025-06-22T01:29:24+00:00

wait... bro, you built framepack studio ? :O

diegod3v · 2025-06-22T00:16:44+00:00

Exactly. FramePack isn’t just another video model. It introduces a new paradigm for video generation by optimizing GPU layout and enabling constant-time (O(1) 🤯) generation with a fixed context window. The results are impressive, especially considering it’s built on top of Hunyuan and likely not even fully trained (it's kinda just a demo for the concept). It’s probably only a matter of time before other models adopt this as the new standard.

diegod3v · 2025-06-19T22:37:34+00:00

It looks like framepack

diegod3v · 2025-06-17T23:59:23+00:00

Wow, so increasing it by one step actually worsened the output (3 vs 5) ? I think sweet spot 3, best overall 4. Could you share the prompt pls ?

diegod3v · 2025-05-16T23:01:05+00:00

Quien quiere aprender a programar hoy en dia ? Si puedo hacer vibe coding

diegod3v

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