It seems your article is all about using the API at some website.
It doesn't empower users.
Who Does That Server Really Serve? - GNU Project - Free Software Foundation:
https://www.gnu.org/philosophy/who-does-that-server-really-serve.html
Jean Louis
JLouisBiz
AI & ML interests
- LLM for sales, marketing, promotion
- LLM for Website Revision System
- increasing quality of communication with customers
- helping clients access information faster
- saving people from financial troubles
Recent Activity
new activity about 12 hours ago
MiniMaxAI/MiniMax-M2.7:"Open source" my ass -- they are liars updated a collection about 18 hours ago
Deceptfully claiming to be Free Software or Open SourceOrganizations
repliedto abdurrahmanbutler's post about 19 hours ago
I see model there. Not everyone is skilled to understand what is trademark. Finally, not every US trademark applies in other countries. If there is problem, the trademark owner is to complain.
Maybe Hugginface decides they are in breach of terms and conditions, or Anthropic, that they are using their trademark...
I have seen known international trademarks used in third world countries without any scruples.
Yes, but is difference in size expected? I can't see difference by file size.
reactedto Bils's post with 🔥 7 days ago
Post
2680
Avatars are everywhere, but here is the reality behind full-system marketing automation. 🚀
Many see "Madame AI" simply as an AI news presenter. She is far deeper than that. Madame AI is a Real-time Agentic AI Assistant we developed to orchestrate entire workflows for marketing and professional media. She manages UGC (User-Generated Content), understands marketing system automation intuitively, and handles complex media tasks.
We have solved the character consistency and high production cost bottlenecks that traditionally required immense training and time. By precisely orchestrating every computational step behind videos and branded designs, we have fully automated the pipeline and significantly reduced costs.
This capability is built on our extensive experience managing large-scale automation projects with complex requirement documentation (PRD).
Grabclip is our public portal and the practical result of that journey. It is the interface where "Madame AI" acts as the intelligent engine.
We have spent three years building this pipeline with a clear goal: a 100% local, end-to-end solution that operates despite external restrictions.
See the live example on YouTube (our fast-paced AI news podcast with Madame AI) and try the automation portal yourself👇
📺 The Playlist: https://www.youtube.com/playlist?list=PLwEbW4bdYBSCVSziFfJYq4zXop_cyHquO
🌐 Our Portal (Grabclip) — The first practical step in our pipeline: https://grabclip.bilsimaging.com/
hashtag#AgenticAI hashtag#VirtualInfluencer hashtag#FutureOfWork hashtag#GenerativeAI hashtag#TunisiaTech hashtag#MarketingAutomation hashtag#100PercentLocal hashtag#OSMedia hashtag#Grabclip hashtag#RealTimeAssistant hashtag#UGC hashtag#ProfessionalMedia hashtag#TunisiaAI
Many see "Madame AI" simply as an AI news presenter. She is far deeper than that. Madame AI is a Real-time Agentic AI Assistant we developed to orchestrate entire workflows for marketing and professional media. She manages UGC (User-Generated Content), understands marketing system automation intuitively, and handles complex media tasks.
We have solved the character consistency and high production cost bottlenecks that traditionally required immense training and time. By precisely orchestrating every computational step behind videos and branded designs, we have fully automated the pipeline and significantly reduced costs.
This capability is built on our extensive experience managing large-scale automation projects with complex requirement documentation (PRD).
Grabclip is our public portal and the practical result of that journey. It is the interface where "Madame AI" acts as the intelligent engine.
We have spent three years building this pipeline with a clear goal: a 100% local, end-to-end solution that operates despite external restrictions.
See the live example on YouTube (our fast-paced AI news podcast with Madame AI) and try the automation portal yourself👇
📺 The Playlist: https://www.youtube.com/playlist?list=PLwEbW4bdYBSCVSziFfJYq4zXop_cyHquO
🌐 Our Portal (Grabclip) — The first practical step in our pipeline: https://grabclip.bilsimaging.com/
hashtag#AgenticAI hashtag#VirtualInfluencer hashtag#FutureOfWork hashtag#GenerativeAI hashtag#TunisiaTech hashtag#MarketingAutomation hashtag#100PercentLocal hashtag#OSMedia hashtag#Grabclip hashtag#RealTimeAssistant hashtag#UGC hashtag#ProfessionalMedia hashtag#TunisiaAI
At first I could not find model and provider settings!
Do you know why?
When you open settings, and try to scroll with the mouse, cursor comes to the text where there are updates, that text start scrolling instead of the page.
Updates are not that important, though they come first.
LLM Models should be in it's separate tab in settings, that is important.
Other issue is that text is too small and I cannot enlarge it. Do you know how?
How to configure provider and model?
Why such is not in the GUI interface?
Is it?
{
"default_provider": "llama.cpp",
"providers": {
"llama.cpp": {
"url": "http://192.168.1.68:8080/v1",
"default_model": "llm"
}
}
}
reactedto frumu's post with 👍 15 days ago
Post
704
I’m looking for Mac/Windows/Linux testers and contributors for Tandem, an open-source, local-first AI desktop workspace.
Runs on your machine (works great with local LLMs like Ollama / LM Studio)
Built with Tauri + a sidecar runtime, so it’s a single install
Focused on making agent workflows usable for non-developers (approvals + undo)
If you’re willing to test installs (especially macOS) or poke at bugs, I’d really appreciate it. Repo: https://github.com/frumu-ai/tandem
Runs on your machine (works great with local LLMs like Ollama / LM Studio)
Built with Tauri + a sidecar runtime, so it’s a single install
Focused on making agent workflows usable for non-developers (approvals + undo)
If you’re willing to test installs (especially macOS) or poke at bugs, I’d really appreciate it. Repo: https://github.com/frumu-ai/tandem
reactedto frumu's post with 👍 15 days ago
Post
167
New write-up: Tandem is an engine-first local agent runtime in Rust (Desktop + TUI), Plan Mode diffs, Multi Agents, and local memory.
Would love feedback from HF builders.
https://dev.to/tacshade/i-built-an-agentic-ferrari-in-rust-and-nobodys-driving-it-57fe
Would love feedback from HF builders.
https://dev.to/tacshade/i-built-an-agentic-ferrari-in-rust-and-nobodys-driving-it-57fe
- 3 replies
reactedto Ujjwal-Tyagi's post with 😎 15 days ago
Post
2926
Public reports allege that Anthropic gobbled up trillions of tokens of copyrighted material and public data to build their castle. 🏰📄 Now that they're sitting on top, they're begging for special laws to protect their profits while pulling the ladder up behind them. 🪜🚫
But the hypocrisy meter just broke! 📉 They are accusing Chinese labs like DeepSeek, Minimax, and Kimi of "huge distillation attacks. The Reality is that You can't just loot the entire internet's library, lock the door, and then sue everyone else for reading through the window. Stop trying to gatekeep the tech you didn't own in the first place. Read the complete article on it: https://huggingface.co/blog/Ujjwal-Tyagi/the-dark-underbelly-of-anthropic
But the hypocrisy meter just broke! 📉 They are accusing Chinese labs like DeepSeek, Minimax, and Kimi of "huge distillation attacks. The Reality is that You can't just loot the entire internet's library, lock the door, and then sue everyone else for reading through the window. Stop trying to gatekeep the tech you didn't own in the first place. Read the complete article on it: https://huggingface.co/blog/Ujjwal-Tyagi/the-dark-underbelly-of-anthropic
- 3 replies
repliedto omarkamali's post 15 days ago
This could become a meaningful direction for future LLM design.
reactedto omarkamali's post with 🔥 15 days ago
Post
1867
I just might have cracked tokenizer-free LLMs. No vocab, no softmax.
I'm training a 22M params LLM rn to test this "thing" and it's able to formulate coherent sentences 🤯
Bear in mind, this is a completely new, tokenizer-free LLM architecture with built-in language universality.
Check the explainer video to understand what's happening. Feedback welcome on this approach!
I'm training a 22M params LLM rn to test this "thing" and it's able to formulate coherent sentences 🤯
Bear in mind, this is a completely new, tokenizer-free LLM architecture with built-in language universality.
Check the explainer video to understand what's happening. Feedback welcome on this approach!
- 14 replies
reactedto feeday's post with 👍 16 days ago
Post
167
z_image_turb_b16:T4-34s
z_image_turb_b16:A800-4s
z_image_turb_Q4_K_M:T4-20s
feeday/Z-Image-Turbo-GGUF
z_image_turb_b16:A800-4s
z_image_turb_Q4_K_M:T4-20s
feeday/Z-Image-Turbo-GGUF
reactedto Nymbo's post with 👍 18 days ago
Post
2792
Genuine recommendation: You should really use this AutoHotKey macro. Save the file as
In my experience the past few months,
macros.ahk and run it. Before sending a prompt to your coding agent, press Ctrl + Alt + 1 and paste your prompt to any regular chatbot. Then send the output to the agent. This is the actual, boring, real way to "10x your prompting". Use the other number keys to avoid repeating yourself over and over again. I use this macro prolly 100-200 times per day. AutoHotKey isn't as new or hype as a lot of other workflows, but there's a reason it's still widely used after 17 years. Don't overcomplicate it.; Requires AutoHotkey v1.1+
; All macros are `Ctrl + Alt + <variable>`
^!1::
Send, Please help me more clearly articulate what I mean with this message (write the message in a code block):
return
^!2::
Send, Please make the following changes:
return
^!3::
Send, It seems you got cut off by the maximum response limit. Please continue by picking up where you left off.
returnIn my experience the past few months,
Ctrl + Alt + 1 works best with Instruct models (non-thinking). Reasoning causes some models to ramble and miss the point. I've just been using GPT-5.x for this. repliedto DedeProGames's post 22 days ago
Is this a truly new model or some other model was used as base?
How was it trained?
Are datasets available?
Any transparency?
reactedto DedeProGames's post with 🤗 22 days ago
Post
613
Introducing GRM2, a powerful 3b parameter model designed for long-term reasoning and high performance in complex tasks.
Even with only 3b of parameters, it outperforms qwen3-32b in several benchmarks.
With only 3b of parameters, it can also generate large and complex code of over 1000 lines, use tools in a way comparable to large models, and is perfect for agentic tasks.
GRM2 is licensed under Apache 2.0, making it perfect as a FineTune base for other tasks.
OrionLLM/GRM2-3b
Even with only 3b of parameters, it outperforms qwen3-32b in several benchmarks.
With only 3b of parameters, it can also generate large and complex code of over 1000 lines, use tools in a way comparable to large models, and is perfect for agentic tasks.
GRM2 is licensed under Apache 2.0, making it perfect as a FineTune base for other tasks.
OrionLLM/GRM2-3b
- 2 replies
reactedto prometechinc's post with 👍 22 days ago
Post
310
The Mutant Reasoning Dataset is a high-level "masterclass" training kit designed to transform your model from a mere chatterbox into a true solution partner offering deep insights. Featuring the most refined reasoning traces from the world's most advanced intelligences, such as GPT-5, Claude 4.6, Gemini 3 Pro, and Grok-4, this exclusive collection aims for a massive performance increase of up to 40%, particularly in logic and coding capabilities. Instead of overwhelming the model with unnecessary information, this kit focuses on instilling complex problem-solving methodologies and deep thought processes. Even with short training periods at a slow learning rate, it elevates your model from a "chatterbox" to a sensible and wise companion. Shared by Prometech Inc., this dataset sets a new standard in the open-source world for all developers who want AI to not only respond but truly "think."
repliedto EricFillion's post 29 days ago
so how many hours for that dataset? Price is important.
reactedto OzTianlu's post with 🔥 29 days ago
Post
5395
Arcade-3B — SmolReasoner
NoesisLab/Arcade-3B
Arcade-3B is a 3B instruction-following and reasoning model built on SmolLM3-3B. It is the public release from the ARCADE project at NoesisLab, which investigates the State–Constraint Orthogonality Hypothesis: standard Transformer hidden states conflate factual content and reasoning structure in the same subspace, and explicitly decoupling them improves generalization.
NoesisLab/Arcade-3B
Arcade-3B is a 3B instruction-following and reasoning model built on SmolLM3-3B. It is the public release from the ARCADE project at NoesisLab, which investigates the State–Constraint Orthogonality Hypothesis: standard Transformer hidden states conflate factual content and reasoning structure in the same subspace, and explicitly decoupling them improves generalization.
- 5 replies
repliedto EricFillion's post 29 days ago
Eric, I like the project, but not the name, don't call names by yourself.
repliedto marksverdhei's post 29 days ago
GGUF link doesn't work. I am using Nomic Embed, they are smaller and support images and text.
What benefits do I get with the larger model? So far Qwen3.5 models already provide embeddings as well.