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Bathroom Bois! New YCH Scene featuring two new models and multiple VA's! 🎙️VA's in order: Sora Dalet_093🩷🔞(C0mms open) Lust 欲 and ✞✃PumppKen🪽🎃 🧵Each Scene will be featured in the thread below! The Va's got to choose their pairings for free <3 🧍Models by x_RedEyes 🔞 | (OPEN COMMISSIONS)

ScoutfunTF2 COMMISSIONS check description!

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237,263 views • 2 months ago •via X (Twitter)

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I pasted the Three.js code from the previous 3D scene in Grok 4 from xAI and prompted it to create a variation with new shapes. The scene leverages custom GLSL shaders for particle behavior and click morphs between shapes. Open source code and workflow in the thread below. 🧵👇

I pasted the Three.js code from the previous 3D scene in Grok 4 from xAI and prompted it to create a variation with new shapes. The scene leverages custom GLSL shaders for particle behavior and click morphs between shapes. Open source code and workflow in the thread below. 🧵👇

Techartist

3,104,476 views • 1 year ago

Obsidian 1.11 is now available for desktop and mobile! Mobile: - The interface has been refreshed to improve the editing and reading experience. - Lock Screen, Control Center, and Home Screen widgets let you quickly create a new note, open a specific note, open daily note, open search, or open Obsidian. - When scrolling down in a note, the navigation hides to maximize screen space for reading. - New sidebar navigation for switching sidebar tabs and actions, aligned to the bottom for better ergonomics. - Added double-tap to switch a note from reading mode to editing mode. iOS - Shortcuts to open a note, open daily note, capture to a note. Capture shortcuts allow you to append or prepend text to a note, without opening the Obsidian app. - Siri integration such as "Capture using Obsidian", "Capture to Obsidian", "Open my daily note in Obsidian", "Search in Obsidian". -Searching for Obsidian in Spotlight shows additional actions: New Note, Search, and Daily Note. Android - New widgets: Open Note, New Note, Search, Daily Note, Open Obsidian. You can add multiple widgets of the same type to open different files, or trigger different search queries. - Quick Settings Tile and new shortcuts: Open note, Daily note. Editor - Markdown links are now supported in text and list properties. Internal links are automatically updated when the destination file is moved or renamed. - When text is selected, pasting a URL into the editor will convert the selection into a Markdown link using the URL. Settings - New "Keychain" settings section for storing plugin secrets. A guide for plugin developers is published in our docs. - Added icons to settings sections. - Community Plugins › Automatically check for plugin updates. Obsidian will check for plugin updates in the background every 3 days, or after the app updates. - New setting Files & links › Default file to open. Choose between "Last opened files", "New note", "Specific note", or "Daily note". - The daily note format can be selected from a list of predefined formats. Obsidian URI - New, open, and daily URI actions now support a new paneType param.

Obsidian 1.11 is now available for desktop and mobile! Mobile: - The interface has been refreshed to improve the editing and reading experience. - Lock Screen, Control Center, and Home Screen widgets let you quickly create a new note, open a specific note, open daily note, open search, or open Obsidian. - When scrolling down in a note, the navigation hides to maximize screen space for reading. - New sidebar navigation for switching sidebar tabs and actions, aligned to the bottom for better ergonomics. - Added double-tap to switch a note from reading mode to editing mode. iOS - Shortcuts to open a note, open daily note, capture to a note. Capture shortcuts allow you to append or prepend text to a note, without opening the Obsidian app. - Siri integration such as "Capture using Obsidian", "Capture to Obsidian", "Open my daily note in Obsidian", "Search in Obsidian". -Searching for Obsidian in Spotlight shows additional actions: New Note, Search, and Daily Note. Android - New widgets: Open Note, New Note, Search, Daily Note, Open Obsidian. You can add multiple widgets of the same type to open different files, or trigger different search queries. - Quick Settings Tile and new shortcuts: Open note, Daily note. Editor - Markdown links are now supported in text and list properties. Internal links are automatically updated when the destination file is moved or renamed. - When text is selected, pasting a URL into the editor will convert the selection into a Markdown link using the URL. Settings - New "Keychain" settings section for storing plugin secrets. A guide for plugin developers is published in our docs. - Added icons to settings sections. - Community Plugins › Automatically check for plugin updates. Obsidian will check for plugin updates in the background every 3 days, or after the app updates. - New setting Files & links › Default file to open. Choose between "Last opened files", "New note", "Specific note", or "Daily note". - The daily note format can be selected from a list of predefined formats. Obsidian URI - New, open, and daily URI actions now support a new paneType param.

Obsidian

191,929 views • 8 months ago

[>] Hello, artists! I am pleased to announce that I am now curating cyberpunk art for an OPEN CALL from SuperchiefGalleryNFT culminating in a display on a giant screen in Times Square in New York City! 🔥🦾 [>] This contest, called Remote Control, breaks new ground! [>] I will be selecting works related to technology and cyberpunk that impress me. Show me what you got! [>] Send in your non-minted artworks. The best works will be those that embody the cyberpunk theme and will be unique and exciting [>] Like, retweet, follow me, SuperchiefGalleryNFT, RemoteControl [>] I'm offering free access to Remote Control for those ready to inspire and shape the digital future. I will choose the best of you and give you this access. I WILL GIVE FREE ACCESS FOR MORE IMPORTANT VOTING ON THE Remote Control website! [>] Showcase your skills, and let's change the world together! So if you send in your art and I like it, I'll give you free access to Remote Control! [>] I'LL CHOOSE ONE ARTIST WITH FREE ACCESS TO SHOW THEIR ART IN TIME SQUARE! [>] Join the voting on the Remote Control platform! [> >] Stay creative. The network is watching 🦾 [>] Details below:

[>] Hello, artists! I am pleased to announce that I am now curating cyberpunk art for an OPEN CALL from SuperchiefGalleryNFT culminating in a display on a giant screen in Times Square in New York City! 🔥🦾 [>] This contest, called Remote Control, breaks new ground! [>] I will be selecting works related to technology and cyberpunk that impress me. Show me what you got! [>] Send in your non-minted artworks. The best works will be those that embody the cyberpunk theme and will be unique and exciting [>] Like, retweet, follow me, SuperchiefGalleryNFT, RemoteControl [>] I'm offering free access to Remote Control for those ready to inspire and shape the digital future. I will choose the best of you and give you this access. I WILL GIVE FREE ACCESS FOR MORE IMPORTANT VOTING ON THE Remote Control website! [>] Showcase your skills, and let's change the world together! So if you send in your art and I like it, I'll give you free access to Remote Control! [>] I'LL CHOOSE ONE ARTIST WITH FREE ACCESS TO SHOW THEIR ART IN TIME SQUARE! [>] Join the voting on the Remote Control platform! [> >] Stay creative. The network is watching 🦾 [>] Details below:

Atmo

43,943 views • 2 years ago

🦙 ollama is used by 9 million developers and 85% of the Fortune 500, giving co-founder and CEO Jeffrey Morgan (Jeffrey Morgan) a unique view into which AI models people are actually using and how that’s changing. Right now, the biggest shift he sees is toward open models, driven by coding agents, falling costs, and capabilities that are rapidly catching up to the frontier labs. On Ollama Cloud, that shift has driven a 150x increase in token usage since the start of the year. In this episode of Lightcone Podcast, Jeff joins Garry Tan, Jared Friedman, Diana, and Harj Taggar to talk about the future of open models and the story behind Ollama, from two years of searching for the right idea to building one of the most widely used AI developer tools in the world. 00:43 — The Shift to Open Models 03:03 — How AI Agents Are Driving Token Usage 05:31 — Are Open Models Catching Up? 08:26 — What Happens When a New Model Launches 11:31 — Ollama as an Operating System for AI 14:05 — The New Opportunities Above the Model Layer 18:19 — Why 80–90% of Enterprise Tokens Could Be Open 20:57 — The Future Is Local and Cloud 26:40 — Why AI Is Coming Back to Your Computer 28:56 — The Coming Era of Unlimited Tokens 32:30 — Do We Still Need a “God Model”? 33:41 — Open Models and Geopolitics 36:14 — The Origins of Ollama 40:36 — Two Years Lost in the Wilderness 42:39 — The Pivot That Changed Everything 47:02 — How Ollama Found a Business Model 49:43 — Why Second-Time Founders Did YC

🦙 ollama is used by 9 million developers and 85% of the Fortune 500, giving co-founder and CEO Jeffrey Morgan (Jeffrey Morgan) a unique view into which AI models people are actually using and how that’s changing. Right now, the biggest shift he sees is toward open models, driven by coding agents, falling costs, and capabilities that are rapidly catching up to the frontier labs. On Ollama Cloud, that shift has driven a 150x increase in token usage since the start of the year. In this episode of Lightcone Podcast, Jeff joins Garry Tan, Jared Friedman, Diana, and Harj Taggar to talk about the future of open models and the story behind Ollama, from two years of searching for the right idea to building one of the most widely used AI developer tools in the world. 00:43 — The Shift to Open Models 03:03 — How AI Agents Are Driving Token Usage 05:31 — Are Open Models Catching Up? 08:26 — What Happens When a New Model Launches 11:31 — Ollama as an Operating System for AI 14:05 — The New Opportunities Above the Model Layer 18:19 — Why 80–90% of Enterprise Tokens Could Be Open 20:57 — The Future Is Local and Cloud 26:40 — Why AI Is Coming Back to Your Computer 28:56 — The Coming Era of Unlimited Tokens 32:30 — Do We Still Need a “God Model”? 33:41 — Open Models and Geopolitics 36:14 — The Origins of Ollama 40:36 — Two Years Lost in the Wilderness 42:39 — The Pivot That Changed Everything 47:02 — How Ollama Found a Business Model 49:43 — Why Second-Time Founders Did YC

Y Combinator

310,621 views • 18 days ago

🎃 #STEPNTrickOrSneak EVENT 🎃 Get ready to spook up your #STEPN Sneakers! 🗓️ Dates: Oct 27 - Oct 31, 2023 Participate in daily challenges for a chance to win a unique Skin each day: 🦴 Day 1: Perform 5 Gem Upgrades 🐺 Day 2: Perform one Mint 🎃 Day 3: Open a Mystery Box 🐙 Day 4: Perform one Enhancement 👻 Day 5: Use 5 Energy 🏆 3 Genesis & 99 OGs will be raffled daily among participants. Each day will bring a new, exciting #Halloween themed Sneaker! 👉 The prizes will be divided equally between the 3 Realms, meaning that you will be eligible for the raffle in the Realm where you completed the daily requirement. 📝 Notes: 🔹 Each daily challenge is independent from the others. You don't need to enter prior days to be eligible for a certain day. 🔹 You can participate in the 3 Realms 🔹 Complete all 5 challenges to get the the #STEPNSneakOrTreat Badge and Background 🔹 Each day starts at 08:00am UTC and ends at 08:00am UTC the following day! #STEPNTrickOrSneak 🧡

🎃 #STEPNTrickOrSneak EVENT 🎃 Get ready to spook up your #STEPN Sneakers! 🗓️ Dates: Oct 27 - Oct 31, 2023 Participate in daily challenges for a chance to win a unique Skin each day: 🦴 Day 1: Perform 5 Gem Upgrades 🐺 Day 2: Perform one Mint 🎃 Day 3: Open a Mystery Box 🐙 Day 4: Perform one Enhancement 👻 Day 5: Use 5 Energy 🏆 3 Genesis & 99 OGs will be raffled daily among participants. Each day will bring a new, exciting #Halloween themed Sneaker! 👉 The prizes will be divided equally between the 3 Realms, meaning that you will be eligible for the raffle in the Realm where you completed the daily requirement. 📝 Notes: 🔹 Each daily challenge is independent from the others. You don't need to enter prior days to be eligible for a certain day. 🔹 You can participate in the 3 Realms 🔹 Complete all 5 challenges to get the the #STEPNSneakOrTreat Badge and Background 🔹 Each day starts at 08:00am UTC and ends at 08:00am UTC the following day! #STEPNTrickOrSneak 🧡

STEPN GO

611,758 views • 2 years ago

David Sacks Predicts the Regulatory Capture Playbook to Ban Open Source AI, Step by Step: David Sacks: “I got bad news for you, Chamath, an open source ban is coming. They're not going to call it that. They're going to say that we simply have to apply the same standards to open models that we apply to closed ones. Here's how they do it step by step, let me explain how regulatory capture actually works. So first of all, you have to get this regulatory apparatus. Dario wants an FDA for AI, but he doesn't have enough political support for that, so instead they do this Trojan horse of a FINRA for AI. They call it self-regulating, it's not really, but anyway, that gets them off the ground. Now they've created the standard-setting organization. Now they've got pre-release model testing. Then the pressure grows to codify that in law, so that happens next. And then what they do is they say, ‘Look, all these standards need to apply equally to all models.’ But here's the problem with that. Open models and closed models are technologically different. Once you release an open model into the world, you can't roll it back and you can't monitor exactly how people are using it because they run it on their own hardware. Dario says this is what makes open models dangerous. So what they're going to do is they're going to have the standard-setting body say, ‘Well, we have to set the standards for AI safety.’ By the way, Dario and OpenAI, they're going to fund the whole thing. They're going to contribute all the compute. They're going to be behind it. They're going to be the ones coordinating with the government officials because frankly, people in government have no idea how to monitor and control and set standards for AI safety. Technologically, this is way beyond them. So they're going to go to these companies and say, ‘Tell us how to do it.’ And so what will happen is the standards will get set, and then it'll be a very simple matter of fairness to say that the standards need to apply to open as well as closed models. The open models cannot comply in the same way, and gradually they will be shut out of the market.”

David Sacks Predicts the Regulatory Capture Playbook to Ban Open Source AI, Step by Step: David Sacks: “I got bad news for you, Chamath, an open source ban is coming. They're not going to call it that. They're going to say that we simply have to apply the same standards to open models that we apply to closed ones. Here's how they do it step by step, let me explain how regulatory capture actually works. So first of all, you have to get this regulatory apparatus. Dario wants an FDA for AI, but he doesn't have enough political support for that, so instead they do this Trojan horse of a FINRA for AI. They call it self-regulating, it's not really, but anyway, that gets them off the ground. Now they've created the standard-setting organization. Now they've got pre-release model testing. Then the pressure grows to codify that in law, so that happens next. And then what they do is they say, ‘Look, all these standards need to apply equally to all models.’ But here's the problem with that. Open models and closed models are technologically different. Once you release an open model into the world, you can't roll it back and you can't monitor exactly how people are using it because they run it on their own hardware. Dario says this is what makes open models dangerous. So what they're going to do is they're going to have the standard-setting body say, ‘Well, we have to set the standards for AI safety.’ By the way, Dario and OpenAI, they're going to fund the whole thing. They're going to contribute all the compute. They're going to be behind it. They're going to be the ones coordinating with the government officials because frankly, people in government have no idea how to monitor and control and set standards for AI safety. Technologically, this is way beyond them. So they're going to go to these companies and say, ‘Tell us how to do it.’ And so what will happen is the standards will get set, and then it'll be a very simple matter of fairness to say that the standards need to apply to open as well as closed models. The open models cannot comply in the same way, and gradually they will be shut out of the market.”

The All-In Podcast

299,023 views • 29 days ago

Gavin Baker says the future for the world's biggest companies is open models and private context: "I think the future is an ensemble of models. There's a Pareto curve. No one model is going to be the best at everything." "For the global 1,000 biggest companies, you're going to take whatever the best open-source model is. I think probably in the very near future, that's going to be an Nvidia model." "Everybody says 'Well, in a world where open-source wins, who funds the training?' Chip companies can fund the training." "It's trivial to do a $50 to $100 billion training run for Jensen, but I do think you're going to see American open-source led by Nvidia get really close to the frontier." "Sharing your own enterprise context, that's truly your IP, that's truly the value of your company, the context embedded in all of your data, sharing that with a frontier lab may be hazardous for your financial health." "I think what you'll see these companies do is they'll have their own model on their data, and it will work with one or two other frontier models, checking each other... I think that feels like a very likely future to me." Gavin Baker David George

Gavin Baker says the future for the world's biggest companies is open models and private context: "I think the future is an ensemble of models. There's a Pareto curve. No one model is going to be the best at everything." "For the global 1,000 biggest companies, you're going to take whatever the best open-source model is. I think probably in the very near future, that's going to be an Nvidia model." "Everybody says 'Well, in a world where open-source wins, who funds the training?' Chip companies can fund the training." "It's trivial to do a $50 to $100 billion training run for Jensen, but I do think you're going to see American open-source led by Nvidia get really close to the frontier." "Sharing your own enterprise context, that's truly your IP, that's truly the value of your company, the context embedded in all of your data, sharing that with a frontier lab may be hazardous for your financial health." "I think what you'll see these companies do is they'll have their own model on their data, and it will work with one or two other frontier models, checking each other... I think that feels like a very likely future to me." Gavin Baker David George

a16z

39,947 views • 22 days ago

Today we're launching Accomplish FREE - powered by our new hybrid model router. Since we launched Accomplish a few weeks ago, we've been blown away by what users are building with it. Hundreds of thousands of you downloaded the app and took it for a spin, but one thing kept coming up: not everyone wants to bring their own API key just to get started. So today we're fixing that with free, built-in models - made possible by a massive shift that's happened in just the past few weeks: the rise of fully hosted open-weight models - locally on your Windows machine with NVIDIA NVIDIA GeForce, on your Mac with Apple MLX, or on Accomplish cloud, for FREE. Our new hybrid routing algorithm dynamically routes between cloud models and models running locally on your machine - optimizing for local execution by automatically detecting your hardware capabilities and each sub-task's complexity: coding, visuals, simple classifications - every LLM call is routed to the best model. We also brought some of our favorite enterprise features to the free tier: scheduled task dispatch, Google Workspace integration (Google Drive Docs, Sheets, Slides) via the new Google Workspace CLI, native Slack MCP connectivity, and more. Accomplish FREE is available for macOS, Windows, and Linux. Download, send a task - and boom, it just works with ZERO configuration! Download link in bio / first comment >>

Today we're launching Accomplish FREE - powered by our new hybrid model router. Since we launched Accomplish a few weeks ago, we've been blown away by what users are building with it. Hundreds of thousands of you downloaded the app and took it for a spin, but one thing kept coming up: not everyone wants to bring their own API key just to get started. So today we're fixing that with free, built-in models - made possible by a massive shift that's happened in just the past few weeks: the rise of fully hosted open-weight models - locally on your Windows machine with NVIDIA NVIDIA GeForce, on your Mac with Apple MLX, or on Accomplish cloud, for FREE. Our new hybrid routing algorithm dynamically routes between cloud models and models running locally on your machine - optimizing for local execution by automatically detecting your hardware capabilities and each sub-task's complexity: coding, visuals, simple classifications - every LLM call is routed to the best model. We also brought some of our favorite enterprise features to the free tier: scheduled task dispatch, Google Workspace integration (Google Drive Docs, Sheets, Slides) via the new Google Workspace CLI, native Slack MCP connectivity, and more. Accomplish FREE is available for macOS, Windows, and Linux. Download, send a task - and boom, it just works with ZERO configuration! Download link in bio / first comment >>

Or Hiltch

103,738 views • 6 months ago

NEWS: Kia today unveiled their PBV concept, a modular EV vehicle platform. "An all set answer to all your mobility needs" "Kia PBVs (Platform Beyond Vehicle) are intended to be a total mobility solution that combines fit-for-purpose EVs with advanced software solutions. As a Platform Beyond Vehicle, Kia PBVs are designed to open the door to new businesses and lifestyles by redefining the concept of space thanks to advanced, tailored interiors that provide freedom and flexibility." It will launch in the coming years. No pricing given. 4K photos in thread below:

NEWS: Kia today unveiled their PBV concept, a modular EV vehicle platform. "An all set answer to all your mobility needs" "Kia PBVs (Platform Beyond Vehicle) are intended to be a total mobility solution that combines fit-for-purpose EVs with advanced software solutions. As a Platform Beyond Vehicle, Kia PBVs are designed to open the door to new businesses and lifestyles by redefining the concept of space thanks to advanced, tailored interiors that provide freedom and flexibility." It will launch in the coming years. No pricing given. 4K photos in thread below:

Sawyer Merritt

435,350 views • 2 years ago

It’s become abundantly clear that the future of intelligence will be compute shaped. Today, we’re excited to introduce Brainbase, the first AI agent cloud, as a first step towards our vision of non-monolithic intelligence that provisions like compute. Brainbase lets teams from government, Toyota, NBC and Fal deploy and orchestrate thousands of cloud agents across all models and harnesses by handling sandboxing, routing, evals and monitoring. These agents deploy over a universal managed agents API, route intelligently between frontier and open-source models and come with statistical price-performance guarantees. You can try Brainbase today at with $25 in free credits. Check out what you can build with Brainbase in the thread below.

It’s become abundantly clear that the future of intelligence will be compute shaped. Today, we’re excited to introduce Brainbase, the first AI agent cloud, as a first step towards our vision of non-monolithic intelligence that provisions like compute. Brainbase lets teams from government, Toyota, NBC and Fal deploy and orchestrate thousands of cloud agents across all models and harnesses by handling sandboxing, routing, evals and monitoring. These agents deploy over a universal managed agents API, route intelligently between frontier and open-source models and come with statistical price-performance guarantees. You can try Brainbase today at with $25 in free credits. Check out what you can build with Brainbase in the thread below.

Brainbase Labs

20,439 views • 2 months ago

🚨 | ITV announce new celebrity game show called #TheBox coming in 2026, hosted by Gary Lineker. It’s like Destination X - they won’t know where in the country their box will open, but when they step out they’ll be faced with a task to complete, and two losers each episode will face elimination! The cast is: Joey Essex, Sara Davies, Graeme Souness, Ellie Taylor, Shakira Kahn, JB Gill, John Bercow, Jenny Ryan, Danny Aarons, and Ranvir Singh. 📦

🚨 | ITV announce new celebrity game show called #TheBox coming in 2026, hosted by Gary Lineker. It’s like Destination X - they won’t know where in the country their box will open, but when they step out they’ll be faced with a task to complete, and two losers each episode will face elimination! The cast is: Joey Essex, Sara Davies, Graeme Souness, Ellie Taylor, Shakira Kahn, JB Gill, John Bercow, Jenny Ryan, Danny Aarons, and Ranvir Singh. 📦

sᴜᴘᴇʀ ᴛᴠ

329,583 views • 1 year ago

"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model! This short course is created with Meta and taught by Amit Sangani, Director of AI Partner Engineering at Meta. Meta’s Llama family of models is leading the way in open models, allowing anyone to download, customize, fine-tune, or build new applications on top of them. Learn about the vision capabilities of the Llama 3.2, and use it for image classification, prompting, tokenization, tool-calling. You'll also learn about the open-source Llama stack, which gives building blocks for many different stages of the LLM application life cycle. In detail, you’ll: - Learn what are the features of Meta's four newest models, and when to use which Llama model. - Learn best practices for multimodal prompting, with applications to advanced image reasoning, illustrated by many examples: Understanding errors on a car dashboard, adding up the total of photographed restaurant receipts, grading written math homework. - Use different roles—system, user, assistant, ipython—in the Llama 3.1 and 3.2 models and the prompt format that identifies those roles. - Understand how Llama uses the tiktoken tokenizer, and how it has expanded to a 128k vocabulary size that improves encoding efficiency and multilingual support. - Learn how to prompt Llama to call built-in and custom tools (functions) with examples for web search and solving math equations. - Learn about Llama Stack, a standardized interface for common toolchain components like fine-tuning or synthetic data generation, useful for building agentic applications. By the end of this course, you’ll be equipped to build out new applications with the new Llama 3.2. Thank you to Ahmad Al-Dahle, Amit Sangani, and the whole AI at Meta team AI at Meta for all the hard work on Llama 3.2 — we’re excited to make these open models even more accessible to more developers with this new course! Please sign up here!

"Introducing Multimodal Llama 3.2": As promised two weeks ago, here's the short course on Meta's latest open model! This short course is created with Meta and taught by Amit Sangani, Director of AI Partner Engineering at Meta. Meta’s Llama family of models is leading the way in open models, allowing anyone to download, customize, fine-tune, or build new applications on top of them. Learn about the vision capabilities of the Llama 3.2, and use it for image classification, prompting, tokenization, tool-calling. You'll also learn about the open-source Llama stack, which gives building blocks for many different stages of the LLM application life cycle. In detail, you’ll: - Learn what are the features of Meta's four newest models, and when to use which Llama model. - Learn best practices for multimodal prompting, with applications to advanced image reasoning, illustrated by many examples: Understanding errors on a car dashboard, adding up the total of photographed restaurant receipts, grading written math homework. - Use different roles—system, user, assistant, ipython—in the Llama 3.1 and 3.2 models and the prompt format that identifies those roles. - Understand how Llama uses the tiktoken tokenizer, and how it has expanded to a 128k vocabulary size that improves encoding efficiency and multilingual support. - Learn how to prompt Llama to call built-in and custom tools (functions) with examples for web search and solving math equations. - Learn about Llama Stack, a standardized interface for common toolchain components like fine-tuning or synthetic data generation, useful for building agentic applications. By the end of this course, you’ll be equipped to build out new applications with the new Llama 3.2. Thank you to Ahmad Al-Dahle, Amit Sangani, and the whole AI at Meta team AI at Meta for all the hard work on Llama 3.2 — we’re excited to make these open models even more accessible to more developers with this new course! Please sign up here!

Andrew Ng

131,846 views • 1 year ago

Two city councillors spoke to the press yesterday regarding the new downtown mosque’s outdoor call to prayer broadcast. The mosque has filed for their noise permit renewal with the Regina Police service, and will be submitting their own community survey results. Noise permits are approved through the Chief of Police who is overseen by the Board of Police Commissioners. The next board meeting will be 9am, Tuesday, July 21st at RPS HQ. Meetings are open to the public. Delegations wishing to speak can register by filling in a delegation form in-person prior to the meeting.

Two city councillors spoke to the press yesterday regarding the new downtown mosque’s outdoor call to prayer broadcast. The mosque has filed for their noise permit renewal with the Regina Police service, and will be submitting their own community survey results. Noise permits are approved through the Chief of Police who is overseen by the Board of Police Commissioners. The next board meeting will be 9am, Tuesday, July 21st at RPS HQ. Meetings are open to the public. Delegations wishing to speak can register by filling in a delegation form in-person prior to the meeting.

Just Bins

37,431 views • 2 months ago

Project Launch 🚀: mukh v0.1.14 - The Face Analysis Library Hello Everyone, I am happy to launch my first python package "mukh". Mukh (मुख, meaning "face" in Sanskrit) is a comprehensive face analysis library that provides unified APIs for various face-related tasks. It simplifies the process of working with multiple face analysis models through a consistent interface. --- 📌 Features: 🥸 DeepFake Detector: First Python package featuring an Ensemble of multiple models 🎯 Unified API: Single, consistent API for multiple face analysis tasks like face detection and reenactment 🔄 Model Flexibility: Support for multiple models per task 🛠️ Custom Pipelines: Optimized preprocessing and model combinations --- 📌 Currently Supported Tasks: 1️⃣ Face Detection 2️⃣ Face Reenactment with Source Image and Driving Video 3️⃣ Deepfake Detection for Image and Video 4️⃣ Deepfake Detection Pipeline - Ensemble of multiple models --- 📌 Open Source Contributions: I am opening up multiple tasks in the issues section of mukh including a bunch of `good-first-issues`. My goal is to help a number of beginners get started with their contributions, I will be personally guiding across completing these tasks so keep a check on the issues section. The link to the GitHub repository and detailed documentation is available below 👇 in the reply section, do give it a ⭐️ to support the project! --- Special Mentions in the video: Ayush Chaurasia adi hsr hacker house Nimisha Chanda @ElonMastikhor Ctrl+Vibe

Project Launch 🚀: mukh v0.1.14 - The Face Analysis Library Hello Everyone, I am happy to launch my first python package "mukh". Mukh (मुख, meaning "face" in Sanskrit) is a comprehensive face analysis library that provides unified APIs for various face-related tasks. It simplifies the process of working with multiple face analysis models through a consistent interface. --- 📌 Features: 🥸 DeepFake Detector: First Python package featuring an Ensemble of multiple models 🎯 Unified API: Single, consistent API for multiple face analysis tasks like face detection and reenactment 🔄 Model Flexibility: Support for multiple models per task 🛠️ Custom Pipelines: Optimized preprocessing and model combinations --- 📌 Currently Supported Tasks: 1️⃣ Face Detection 2️⃣ Face Reenactment with Source Image and Driving Video 3️⃣ Deepfake Detection for Image and Video 4️⃣ Deepfake Detection Pipeline - Ensemble of multiple models --- 📌 Open Source Contributions: I am opening up multiple tasks in the issues section of mukh including a bunch of `good-first-issues`. My goal is to help a number of beginners get started with their contributions, I will be personally guiding across completing these tasks so keep a check on the issues section. The link to the GitHub repository and detailed documentation is available below 👇 in the reply section, do give it a ⭐️ to support the project! --- Special Mentions in the video: Ayush Chaurasia adi hsr hacker house Nimisha Chanda @ElonMastikhor Ctrl+Vibe

Ishan Dutta

13,967 views • 1 year ago

🇩🇪 Germany is launching production of 5,000 long-range drones for Ukraine A joint venture between German-American company Auterion and Ukraine’s Airlogix has already begun serial production of the strike drones. The German government order is estimated at around €300 million and is expected to be completed by mid-2027. Production is being expanded near Munich and in eastern Germany. One of the new models will be able to strike targets at distances of up to 1,500 km, while AI-powered systems are designed to help the drones overcome Russian electronic warfare. Video for illustrative purposes: Merz and Zelensky discuss a new defense package during their April meeting.

🇩🇪 Germany is launching production of 5,000 long-range drones for Ukraine A joint venture between German-American company Auterion and Ukraine’s Airlogix has already begun serial production of the strike drones. The German government order is estimated at around €300 million and is expected to be completed by mid-2027. Production is being expanded near Munich and in eastern Germany. One of the new models will be able to strike targets at distances of up to 1,500 km, while AI-powered systems are designed to help the drones overcome Russian electronic warfare. Video for illustrative purposes: Merz and Zelensky discuss a new defense package during their April meeting.

NEXTA

53,537 views • 19 days ago

On a Tuesday, in Kungyaz Cafe, we watch it Begin Again 🧣 Valentine’s is not over! In fact, it’s just the Beginning 😉 Spend the remaining days of your February by reading the exclusive stories of your favorite writers in your favorite cafe ☕️ The #SUNNIEDRIVE is back in Sunnieville—with its new purpose 🫶 All the proceeds will be allotted to fund Kungyaz’s UPICK nomination wherein they’ll have the chance to be featured in Yeongdeungpo Times Square Art Canvas for 3 days and the rest of the collected amount will also be added to our current Fundraising to reach the target Goal for WTL in Bulacan Kungyaz Fan Projects What are you waiting for? Don’t miss this amazing opportunity to avail your favorite authors’ works while helping Kungyaz to win their current voting and make the fan supports happen! 🤎 Click the forms below to avail 💌 • #SUNNIEDRIVE23 🌿: • #SUNNIEDRIVE24 🍃: Kungyaz Cafe is open until February 25, 2025 only.

On a Tuesday, in Kungyaz Cafe, we watch it Begin Again 🧣 Valentine’s is not over! In fact, it’s just the Beginning 😉 Spend the remaining days of your February by reading the exclusive stories of your favorite writers in your favorite cafe ☕️ The #SUNNIEDRIVE is back in Sunnieville—with its new purpose 🫶 All the proceeds will be allotted to fund Kungyaz’s UPICK nomination wherein they’ll have the chance to be featured in Yeongdeungpo Times Square Art Canvas for 3 days and the rest of the collected amount will also be added to our current Fundraising to reach the target Goal for WTL in Bulacan Kungyaz Fan Projects What are you waiting for? Don’t miss this amazing opportunity to avail your favorite authors’ works while helping Kungyaz to win their current voting and make the fan supports happen! 🤎 Click the forms below to avail 💌 • #SUNNIEDRIVE23 🌿: • #SUNNIEDRIVE24 🍃: Kungyaz Cafe is open until February 25, 2025 only.

KUNGYAZ HQ

20,551 views • 1 year ago

Today Mirror Mirror AI is launching the marketplace where fashion models license their likeness and brands get stunning AI-generated imagery featuring real people. Commercially licensed, model-approved. Try our platform: As a fashion model I used to spend hours on fashion photoshoot sets. I later did my PhD in CS and became a Research Scientist on AI for fashion. I can see clearly that AI image generation is replacing a large portion of my old job. But brands that use AI recklessly have already paid the price. It damages reputations and hurts the bottom line. Putting real people at the core of AI-generated imagery isn't just about avoiding backlash. It's better business. That's what Mirror Mirror AI is built for. Right now, Mirror Mirror AI houses agency-signed models who have graced the covers of Vogue and Harper's Bazaar. You can digitally book them using our fashion-centric AI software, get your campaign done in hours instead of weeks, and never have to fly anyone in. You purchase a license for commercial use upon approval, and the models get paid. Mirror Mirror AI is also opening a global call for independent models from anywhere in the world to apply to be featured on the platform. Work with fashion brands internationally, choose the projects you take on, and earn from your own likeness on your own terms. Selected models will be announced at an exclusive event in New York during Tech Week this June. Apply for the open call: A huge thank you to our incredible team for pouring their hearts into this launch, and to a16z speedrun for believing in our vision from the start. We're just getting started.

Today Mirror Mirror AI is launching the marketplace where fashion models license their likeness and brands get stunning AI-generated imagery featuring real people. Commercially licensed, model-approved. Try our platform: As a fashion model I used to spend hours on fashion photoshoot sets. I later did my PhD in CS and became a Research Scientist on AI for fashion. I can see clearly that AI image generation is replacing a large portion of my old job. But brands that use AI recklessly have already paid the price. It damages reputations and hurts the bottom line. Putting real people at the core of AI-generated imagery isn't just about avoiding backlash. It's better business. That's what Mirror Mirror AI is built for. Right now, Mirror Mirror AI houses agency-signed models who have graced the covers of Vogue and Harper's Bazaar. You can digitally book them using our fashion-centric AI software, get your campaign done in hours instead of weeks, and never have to fly anyone in. You purchase a license for commercial use upon approval, and the models get paid. Mirror Mirror AI is also opening a global call for independent models from anywhere in the world to apply to be featured on the platform. Work with fashion brands internationally, choose the projects you take on, and earn from your own likeness on your own terms. Selected models will be announced at an exclusive event in New York during Tech Week this June. Apply for the open call: A huge thank you to our incredible team for pouring their hearts into this launch, and to a16z speedrun for believing in our vision from the start. We're just getting started.

Yusan Lin

253,667 views • 6 months ago

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.

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

45,595 views • 1 month ago

Not every new model needs to be the biggest model. Sometimes I'd rather have one that's fast, reliable, affordable, and actually pleasant to build with. That's the impression I got after using Tencent Hunyuan Hy3. I threw a mix of coding, reasoning, and agent tasks at it throughout the afternoon, and what stood out was how stable the experience felt. It followed instructions well, kept track of long conversations, and didn't require much prompt babysitting. The 256K context window is especially useful when working with larger projects, and Tencent says Hy3 reaches performance comparable to flagship open-source models 2–5× larger in parameter scale, which is an interesting trade-off between capability and efficiency. Being Apache 2.0 open source is another bonus, and it's currently free to try on OpenRouter for the next two weeks. Worth taking for a spin if you're evaluating models for real-world development. 👉 Thanks Tencent Hy #Hy3 #Hunyuan #OpenSource #TencentAI

Not every new model needs to be the biggest model. Sometimes I'd rather have one that's fast, reliable, affordable, and actually pleasant to build with. That's the impression I got after using Tencent Hunyuan Hy3. I threw a mix of coding, reasoning, and agent tasks at it throughout the afternoon, and what stood out was how stable the experience felt. It followed instructions well, kept track of long conversations, and didn't require much prompt babysitting. The 256K context window is especially useful when working with larger projects, and Tencent says Hy3 reaches performance comparable to flagship open-source models 2–5× larger in parameter scale, which is an interesting trade-off between capability and efficiency. Being Apache 2.0 open source is another bonus, and it's currently free to try on OpenRouter for the next two weeks. Worth taking for a spin if you're evaluating models for real-world development. 👉 Thanks Tencent Hy #Hy3 #Hunyuan #OpenSource #TencentAI

FELIX

56,379 views • 2 months ago

Introducing "Building with Llama 4." This short course is created with Meta AI at Meta, and taught by Amit Sangani, Director of Partner Engineering for Meta’s AI team. Meta’s new Llama 4 has added three new models and introduced the Mixture-of-Experts (MoE) architecture to its family of open-weight models, making them more efficient to serve. In this course, you’ll work with two of the three new models introduced in Llama 4. First is Maverick, a 400B parameter model, with 128 experts and 17B active parameters. Second is Scout, a 109B parameter model with 16 experts and 17B active parameters. Maverick and Scout support long context windows of up to a million tokens and 10M tokens, respectively. The latter is enough to support directly inputting even fairly large GitHub repos for analysis! In hands-on lessons, you’ll build apps using Llama 4’s new multimodal capabilities including reasoning across multiple images and image grounding, in which you can identify elements in images. You’ll also use the official Llama API, work with Llama 4’s long-context abilities, and learn about Llama’s newest open-source tools: its prompt optimization tool that automatically improves system prompts and synthetic data kit that generates high-quality datasets for fine-tuning. If you need an open model, Llama is a great option, and the Llama 4 family is an important part of any GenAI developer's toolkit. Through this course, you’ll learn to call Llama 4 via API, use its optimization tools, and build features that span text, images, and large context. Please sign up here:

Introducing "Building with Llama 4." This short course is created with Meta AI at Meta, and taught by Amit Sangani, Director of Partner Engineering for Meta’s AI team. Meta’s new Llama 4 has added three new models and introduced the Mixture-of-Experts (MoE) architecture to its family of open-weight models, making them more efficient to serve. In this course, you’ll work with two of the three new models introduced in Llama 4. First is Maverick, a 400B parameter model, with 128 experts and 17B active parameters. Second is Scout, a 109B parameter model with 16 experts and 17B active parameters. Maverick and Scout support long context windows of up to a million tokens and 10M tokens, respectively. The latter is enough to support directly inputting even fairly large GitHub repos for analysis! In hands-on lessons, you’ll build apps using Llama 4’s new multimodal capabilities including reasoning across multiple images and image grounding, in which you can identify elements in images. You’ll also use the official Llama API, work with Llama 4’s long-context abilities, and learn about Llama’s newest open-source tools: its prompt optimization tool that automatically improves system prompts and synthetic data kit that generates high-quality datasets for fine-tuning. If you need an open model, Llama is a great option, and the Llama 4 family is an important part of any GenAI developer's toolkit. Through this course, you’ll learn to call Llama 4 via API, use its optimization tools, and build features that span text, images, and large context. Please sign up here:

Andrew Ng

68,034 views • 1 year ago