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SAM-2 is apache license - you can indeed just build crazy apps with them without fear. This weekend I ported SAM-2 models to run optimally on Apple Silicon. I have also quantized all the SAM models to 16bit, 8bit, and 4bit variants (collection below) Repo is open source and...

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You can now fine-tune Llama 3 without writing a single line of code! We are moving at breakneck speed. I recorded a video to show you how to fine-tune any open-source model in a few minutes. I'm using a GPT capable of taking a problem and turning it into a fine-tuned model that will solve it. You don't have to write any code. You only need to explain to a GPT what problem you want to solve and tell it you want to use Llama 3. For example, "fine-tune Llama 3" or "deploy zephyr." It feels magic. The system will recommend a dataset and fine-tune the model for you. I'm using Monster API, a platform that specializes in making fine-tuning and deploying open-source models easy and fast. Their stack is well-optimized to maximize fine-tuning efficiency using techniques like Q-Lora and vLLM. They are behind the GPT. Here is what you need to do: 1. Create an account at 2. Load the GPT with the link below This is as simple as it gets. When you are done, you can click a button to deploy the model and start using it. I have 10,000 free credits for anyone using the code "SANTIAGO" in the dashboard. You can use these credits to access, fine-tune, and deploy these open-source models. You can also keep up with their latest updates, and get free credits and special offers on their Discord server:
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Santiago

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nader dabit

173,538 Aufrufe • vor 9 Monaten

How I have Claude automate anything I do on my computer just by showing it: I use the free Clips app and hit record to start recording. Then I just do the action - like navigating to Rippling and approving any unapproved time off - and I’ll often just talk out loud as I do it explaining any add’l details like I would when showing a human. The Clips app captures everything on your screen and everything you say, and transforms it into a format Claude can “see and hear”. You'll then get a link that you can easily share with Claude (or humans too). I’ll paste it to Claude and say something like, "automate this for me every day at 8:00 AM." The link has special metadata that agents like Claude can discover. It exposes APIs to see the full transcript with timestamps and grab screenshots of what was on your screen at any of those timestamps. Once it's created the routine, you can go to the Routines tab in Claude Code desktop app. This also works with the CLI, Claude Cowork, Codex etc. You’ll see your new routine there, and you can just hit Run Now to have it start running it. Video attached shows this step by step. The Clips apps is free and open source - I’ll link to it and the source code in the thread.
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How I have Claude automate anything I do on my computer just by showing it: I use the free Clips app and hit record to start recording. Then I just do the action - like navigating to Rippling and approving any unapproved time off - and I’ll often just talk out loud as I do it explaining any add’l details like I would when showing a human. The Clips app captures everything on your screen and everything you say, and transforms it into a format Claude can “see and hear”. You'll then get a link that you can easily share with Claude (or humans too). I’ll paste it to Claude and say something like, "automate this for me every day at 8:00 AM." The link has special metadata that agents like Claude can discover. It exposes APIs to see the full transcript with timestamps and grab screenshots of what was on your screen at any of those timestamps. Once it's created the routine, you can go to the Routines tab in Claude Code desktop app. This also works with the CLI, Claude Cowork, Codex etc. You’ll see your new routine there, and you can just hit Run Now to have it start running it. Video attached shows this step by step. The Clips apps is free and open source - I’ll link to it and the source code in the thread.

Steve (Builder.io)

25,473 Aufrufe • vor 1 Monat

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Tune Studio is an end-to-end platform for developing applications using Large Language Models. So far, I haven't seen any other platform like this one. You can do everything here: 1. You can curate your data. 2. Use the playground to play with different models and try your ideas. 3. Fine-tune an open-source model on your data. 4. Deploy the model when you are done. This is awesome for anyone building generative AI applications. You can use Tune Studio to work with any of the open-source models out there. They were one of the few companies to host Llama 2 and Llama 3 before anyone else. Here is a link to check it out: One of their main selling points is that Tune Studio scales! You don't have to worry about serving your model to lots of users. They also have built-in user management, authentication, on-prem support, user context management, and pretty much everything you need to build generative AI applications. Thanks to the Tune team for collaborating with me on this post. We are living through the best years of development tools for AI developers. The field is unstoppable.

Santiago

39,101 Aufrufe • vor 2 Jahren

Sam: ...my wife moved out, started having an affair with a coworker, and now has come back and wants to stay married but shows little to no remorse for what she did. And acts like it's not a big deal. Um, she also said to me last week in conversation, uh, that she still has feelings for this guy that she works with, but it doesn't matter because they don't talk or spend time together anymore. Um, I'm not really sure what to do. I've lost a lot of respect for my wife, and I also just don't trust her, um, for a multitude of reasons. And then I kind of want to add to that, um, that after she left and moved out, um, I went and slept with someone that I don't have contact with, that I don't have feelings for, so... John Delony: Sure, cuz why not, right? Cuz why not? You showed her, huh? Sam: Yeah. John Delony: You showed her. Sam: Yeah, so this is... I just turned 30 this year, and this is like, not really what I'd envisioned for my life. And I just, I hear you say all the time, you know, "I'll sit with you and help you figure out the next right move," and it's like, I just really don't know what to do, John. John Delony: Yeah. Can I be super honest with you, Sam? Sam: Yeah. John Delony: I think you do know. You don't want to. I think you 100% know. So, let me ask you: what is, um, what's terrifying over that next hill? Because you know the hill you got to cross. Sam: And we have a baby that's about to be two next week, or actually on Sunday. Um, and then I have a stepdaughter that I've raised, her daughter since she was a year old, calls me dad. And so, um, I desperately want to, you know, be with my girls and, you know, wake up in the morning and, and you know, get them dressed for school like this morning. And I want that, and I really just want to have a quote-unquote "normal life." John Delony: And you don't. And you don't. Sam: I don't.
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Sam: ...my wife moved out, started having an affair with a coworker, and now has come back and wants to stay married but shows little to no remorse for what she did. And acts like it's not a big deal. Um, she also said to me last week in conversation, uh, that she still has feelings for this guy that she works with, but it doesn't matter because they don't talk or spend time together anymore. Um, I'm not really sure what to do. I've lost a lot of respect for my wife, and I also just don't trust her, um, for a multitude of reasons. And then I kind of want to add to that, um, that after she left and moved out, um, I went and slept with someone that I don't have contact with, that I don't have feelings for, so... John Delony: Sure, cuz why not, right? Cuz why not? You showed her, huh? Sam: Yeah. John Delony: You showed her. Sam: Yeah, so this is... I just turned 30 this year, and this is like, not really what I'd envisioned for my life. And I just, I hear you say all the time, you know, "I'll sit with you and help you figure out the next right move," and it's like, I just really don't know what to do, John. John Delony: Yeah. Can I be super honest with you, Sam? Sam: Yeah. John Delony: I think you do know. You don't want to. I think you 100% know. So, let me ask you: what is, um, what's terrifying over that next hill? Because you know the hill you got to cross. Sam: And we have a baby that's about to be two next week, or actually on Sunday. Um, and then I have a stepdaughter that I've raised, her daughter since she was a year old, calls me dad. And so, um, I desperately want to, you know, be with my girls and, you know, wake up in the morning and, and you know, get them dressed for school like this morning. And I want that, and I really just want to have a quote-unquote "normal life." John Delony: And you don't. And you don't. Sam: I don't.

Brown Legacy

49,469 Aufrufe • vor 1 Monat

Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.
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Nvidia has just announced Alpamayo 2 Super, an open 34 billion parameter reasoning vision-language-action model designed to accelerate the development of autonomous vehicles. This new model combines the NVIDIA Cosmos 3 Super reasoning model with a 2 billion parameter diffusion-based action expert model, and is post trained with reinforcement learning. The model can return multiple outputs: future trajectory plans, reasoning traces, grounded answers to questions about the scenes, and auto label generation. The model weights are now available for anyone to download on Hugging Face, and the inference code has been posted to GitHub. Distilled models can be deployed commercially without any further permission from Nvidia, and model outputs carry no license conditions. Automakers can distill down a compact version of this model that can run on the Nvidia computer in the car. Major kudos to Nvidia and Jensen Huang for advancing the state of the industry by releasing this as an open model with permissive licensing. Jensen isn't just paying lip service to the idea of open models, Nvidia is actually contributing to the ecosystem — and it's great for their business, because it helps sell more Thor computers that go in the car. Anyone can go download the model and play with it. If you do, let me know what you think. Personally I think it's so cool that we have open weights models that are this advanced, for anyone to download.

Whole Mars Catalog

45,459 Aufrufe • vor 16 Tagen

A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.
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A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.

kwindla

202,147 Aufrufe • vor 1 Jahr

On Steve Jobs and soul and instinct and fear and breaking through: 1. I realized I need to meet people with real talent and then all I gotta do is not get thrown out of the f*cking room. 2. I met with a bunch of tech companies and Steve was the only one that had soul. I told him I wanted to build this headphone company and Steve said: “You can do it.” 3. When I used to run companies I just woke up every day and did everything by my instinct. 4. You don't have to understand something fully to do it. I'm proof of that. I don't understand f*cking anything. But I know how to get things done. I know how to hustle. I'm willing to work harder than the next guy. 5. For a lot of people fear stops them. For the people that succeed, fear propels them forward. You need to learn how to harness fear because fear is energy. 6. Your job is to figure out a way around the gatekeeper. 7. If I see something new and great and unusual, I just can't stop. 8. If you know what you have is going to stick and if you’re passionate about it —then just break through that wall. There’s going to be a lot of resistance. But if it sticks, you win.
2:25

On Steve Jobs and soul and instinct and fear and breaking through: 1. I realized I need to meet people with real talent and then all I gotta do is not get thrown out of the f*cking room. 2. I met with a bunch of tech companies and Steve was the only one that had soul. I told him I wanted to build this headphone company and Steve said: “You can do it.” 3. When I used to run companies I just woke up every day and did everything by my instinct. 4. You don't have to understand something fully to do it. I'm proof of that. I don't understand f*cking anything. But I know how to get things done. I know how to hustle. I'm willing to work harder than the next guy. 5. For a lot of people fear stops them. For the people that succeed, fear propels them forward. You need to learn how to harness fear because fear is energy. 6. Your job is to figure out a way around the gatekeeper. 7. If I see something new and great and unusual, I just can't stop. 8. If you know what you have is going to stick and if you’re passionate about it —then just break through that wall. There’s going to be a lot of resistance. But if it sticks, you win.

David Senra

68,989 Aufrufe • vor 6 Monaten

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7:42

This is how you can start automating your entire life: (No need to install or configure anything. You don't have to mess with OpenClaw.) 1. Go to SureThing 2. Connect a few apps (1000+ available) 3. Start building automations by just asking I recorded a few examples in the video. Surething is an autonomous agent with a chat interface. There's absolutely nothing to configure. It literally takes 5 seconds to be up and running. You start connecting with different apps. For example, your email, Slack, your calendar, Discord, Zoom, whatever. It has memory. It updates it as you interact with it and as it consumes more information about you. You can also build and schedule automations by just asking. No code necessary. The system does it all automatically. This is pretty incredible! Thanks to the team for partnering with me on this post.

Santiago

107,878 Aufrufe • vor 6 Monaten

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You should really stop using Zapier or Make. Deploying Python scripts on Replit takes less than 5 min and is cheaper. Just describe what you want to automate and AI takes care of writing the code. For example, I created an automation that merges all the PDFs in a folder on Drive into a single file. All that's left to do is: - Copy/paste the API key - Click on "Run" And you're done! In this case I used Aider Chat (free and open source), but you can also use Replit Agent.

Paul Couvert

163,002 Aufrufe • vor 1 Jahr

First time I have tickets for #Tomorrowland and the mainstage is on fire. What a disaster for the festival and all The people that worked so hard for years to build it all. I really hope you can solve it but I hope more that everyone is ok. #Tomorroland 🧡
1:40

First time I have tickets for #Tomorrowland and the mainstage is on fire. What a disaster for the festival and all The people that worked so hard for years to build it all. I really hope you can solve it but I hope more that everyone is ok. #Tomorroland 🧡

₿ Didi Taihuttu ₿ ALLIN💥

26,158 Aufrufe • vor 1 Jahr

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.
4:10

Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

Santiago

56,815 Aufrufe • vor 1 Jahr

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.
2:30

Is Windsurf better than Cursor? impossible to say, but... it does one thing better: soooo... I spent an hour testing windsurf... and this is what i created... and app called "boop-boop" lol... one thing windsurf does is it searches the internet. If you've been watching my videos you know that i go to perplexity all the time to get code examples and docs. but with windsurf you can just say, "search the replicate top image gen models and add them to the chat we just created" It will search the internet, find the right model then write the code. This is great for replicate and openrouter. You can have one api key in your .env file then just tell windsurf to search for docs for [insert ai model] and it will just add it to your app. Impressed tbh.

Riley Brown

31,043 Aufrufe • vor 1 Jahr