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Found a database with the fastest growing Github repositories here is the link: it's must have resource for daily & weekly tracking to get the most modern AI tools FIRST you can pick any time period and check the best performing repos during this time you don't need anymore... show more

Ronin

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21,899 görüntüleme • 3 ay önce •via X (Twitter)

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Problem: New github repos drop too fast and I don't have time to figure out if they're relevant to me. Solution: Have Claude build me a "magazine" that summarizes most popular repos 📈 of the last week AND how they could be applied to my businesses ✅. Prompt below...

Problem: New github repos drop too fast and I don't have time to figure out if they're relevant to me. Solution: Have Claude build me a "magazine" that summarizes most popular repos 📈 of the last week AND how they could be applied to my businesses ✅. Prompt below...

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⚠️ATTENTION CREATORS/EDITORS⚠️ I've created one of the most useful tools you can use to speed up your workflow! And it's available right now!! First 10 people can use code "LAUNCH50" for 50% off! Get it here:

⚠️ATTENTION CREATORS/EDITORS⚠️ I've created one of the most useful tools you can use to speed up your workflow! And it's available right now!! First 10 people can use code "LAUNCH50" for 50% off! Get it here:

Adge

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I built a free Mac app to download individual folders from GitHub repos. No more downloading entire repositories just to access one project. Supports private repos & branch selection. Get it here:

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StewartLynch 🇨🇦

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i had opus credits to burn so i recreated github with instant navigation and the ui that i would want you can use it today most of your workflow should work on it, private repos are supported, and it's open source

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Rhys

161,535 görüntüleme • 4 ay önce

You can find these Sasha Riley interviews on Substack / Threads Each time I share the link on X it goes to “ page not found” within a short period of time‼️ They DO NOT want you to hear / read these ALLEGATIONS‼️

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Meidas_Charise Lee

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New tools, models, repos, and papers out of Microsoft Research are here. Use AI and agents? It's worth watching: • MagenticLite from MSR AI Frontiers • Agentic GitHub workflows • Verification‑first agents • Meaning‑matching fine‑tuning • AI transition + the economy

New tools, models, repos, and papers out of Microsoft Research are here. Use AI and agents? It's worth watching: • MagenticLite from MSR AI Frontiers • Agentic GitHub workflows • Verification‑first agents • Meaning‑matching fine‑tuning • AI transition + the economy

Microsoft Research

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This week on my podcast, The Most Interesting Thing in AI, I had the pleasure of talking with Audrey Tang about two big topics: How can AI help democracy? Audrey has helped get Taiwan to use the tools of modern technology to strengthen democracy even as they have frayed it around the world. What is the secret, and could it work in the U.S? How can we build humanistic and pluralistic values into the most powerful AI? Audrey has a great theory about the two races in AI---one vertical, and one horizontal---and how, with the tools of open-source, it's possible that we can align all future models with our highest ambitions. It’s a brilliant framework for thinking about the future of AI. I hope you'll listen to our conversation: Produced by Atlantic Re:think with PwC.

This week on my podcast, The Most Interesting Thing in AI, I had the pleasure of talking with Audrey Tang about two big topics: How can AI help democracy? Audrey has helped get Taiwan to use the tools of modern technology to strengthen democracy even as they have frayed it around the world. What is the secret, and could it work in the U.S? How can we build humanistic and pluralistic values into the most powerful AI? Audrey has a great theory about the two races in AI---one vertical, and one horizontal---and how, with the tools of open-source, it's possible that we can align all future models with our highest ambitions. It’s a brilliant framework for thinking about the future of AI. I hope you'll listen to our conversation: Produced by Atlantic Re:think with PwC.

nxthompson

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AI Mocap tools are evolving at breakneck speed... and I could find more than 10 all compiled and compared in a list you can get by subscribing to the XR AI Spotlight newsletter (link on top of my profile). This is Cartwheel and the stepping on that box was one of the most solid I saw. There is a bit of floatiness in the feet and they are not perfectly grounded, but since I tested the tool, the team has pushed massive improvement. What AI mocap tool do you use in your workflow? Let me know in the comments

Gabriele Romagnoli

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99% of developers don't get Docker... It's one of the most underrated infrastructure tools in all of AI. So if you don't want to fall behind, I suggest you learn Docker in 10 mins:

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"I don't have time to go to the gym" A kettlebell is all you need to get lean and strong. Here are my top 10 kettlebell exercises you can do in 10 minutes from anywhere (bookmark this) 🧵 1. The Halo

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Andrew Panella

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if you are going to Japan any time soon this is the best souvenir you can ever get somebody bookmark this so you don't forget

if you are going to Japan any time soon this is the best souvenir you can ever get somebody bookmark this so you don't forget

katexbt.hl

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An LLM with native access to find and run agents is a huge thing! This large language model (called ASI:One and developed by Fetch.ai) can do this natively when you show it a problem: • Reason about the problem • Identify live agents and tools that can help solve it • Dynamically invoke these agents and tools Honestly, this is pretty nuts! You don't need to set up anything beforehand. You don't need to write any code. Here is the best part: ASI:One has access to any agent published on Agentverse, an open directory of agents! This gives the model access to *millions* of tools it can execute dynamically when solving a task. Here is a simple example (the one in the attached video): • I went to Google Maps • I copied the latitude and longitude of a location • I asked ASI:One about relevant places around that location • ASI:One went to the marketplace • It identified and called the Google Places agent • It returned a list of museums, restaurants, and landmarks near my location Pretty awesome! You can try this now by going to You don't need to pay or register to test it out. If you want to get ideas of what's possible, check Agentverse, the agent marketplace: The model will have access to all of those tools. This is pretty awesome and opens up a whole new world of possibilities! Thanks to the team for partnering with me on this post!

An LLM with native access to find and run agents is a huge thing! This large language model (called ASI:One and developed by Fetch.ai) can do this natively when you show it a problem: • Reason about the problem • Identify live agents and tools that can help solve it • Dynamically invoke these agents and tools Honestly, this is pretty nuts! You don't need to set up anything beforehand. You don't need to write any code. Here is the best part: ASI:One has access to any agent published on Agentverse, an open directory of agents! This gives the model access to millions of tools it can execute dynamically when solving a task. Here is a simple example (the one in the attached video): • I went to Google Maps • I copied the latitude and longitude of a location • I asked ASI:One about relevant places around that location • ASI:One went to the marketplace • It identified and called the Google Places agent • It returned a list of museums, restaurants, and landmarks near my location Pretty awesome! You can try this now by going to You don't need to pay or register to test it out. If you want to get ideas of what's possible, check Agentverse, the agent marketplace: The model will have access to all of those tools. This is pretty awesome and opens up a whole new world of possibilities! Thanks to the team for partnering with me on this post!

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Nars

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Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Right now, I have a few dozen tools to automate my life. Every single thing that I do more than once every week is now a tool: either a Claude Code skill, a scheduled workflow, or an application. • I spend the time doing this once. • I schedule it. • I forget about it (or at least, try to) CREAO is one of the platforms I've used extensively for building some of these automations. They are partnering with me on this post. They are one of the only platforms where you can go from a conversation to a scheduled agent that quickly. This is how it works: 1. You describe the problem you want to solve 2. CREAO's agent builds the logic and executes it 3. You can iterate with the agent to improve the solution 4. When you are done, you turn that solution into a mini app 5. You can schedule that app to run any time you need it Something important: These agents are deterministic. They don't use an LLM to generate answers, so they will always return the same output given the same input. This is critical: when you're automating something that runs every Monday at 9 am, you need it to return the same result every time, not a "creative" answer.

Santiago

13,708 görüntüleme • 2 ay önce

🚨 Elon Musk on Grok 3.5: "With Grok 3.5, that is about to be released, it's trying to reason from first principles. The focus of Grok 3.5 is to find the fundamentals of physics and applying physics tools across all lines of reasoning and to aspire to truth with minimal error. So apply kind of the tools of physics to thinking, and you know physics, if you violate conservation of energy or momentum, then you're either going to get a Nobel Prize, or you're wrong. We aim to get to truth with acknowledged error, but minimize that error over time. And I think that's actually extremely important for AI safety. So I've put a lot for a long time about AI safety, and conclusion is the old maxim that honesty is the best policy."

🚨 Elon Musk on Grok 3.5: "With Grok 3.5, that is about to be released, it's trying to reason from first principles. The focus of Grok 3.5 is to find the fundamentals of physics and applying physics tools across all lines of reasoning and to aspire to truth with minimal error. So apply kind of the tools of physics to thinking, and you know physics, if you violate conservation of energy or momentum, then you're either going to get a Nobel Prize, or you're wrong. We aim to get to truth with acknowledged error, but minimize that error over time. And I think that's actually extremely important for AI safety. So I've put a lot for a long time about AI safety, and conclusion is the old maxim that honesty is the best policy."

DogeDesigner

83,775 görüntüleme • 1 yıl önce

video trying to demonstrate a workflow™ system of layers being bound to tools. The idea is that during drawing you only need to pick the tool you want without having to interact with layers or other panels. If i remembered where each tool is you'd see how seamless and fast it is

video trying to demonstrate a workflow™ system of layers being bound to tools. The idea is that during drawing you only need to pick the tool you want without having to interact with layers or other panels. If i remembered where each tool is you'd see how seamless and fast it is

redi

12,059 görüntüleme • 1 ay önce

i found the secret to writing copy that SELLS with AI... it's not about the model, it's not about the prompt, and it doesn't matter how good you are at writing it's about feeding AI with world-class examples i built a full copywriting swipe file you can use with any LLM: - over 1,000 examples of the best emails, ads and landing pages copy - my 3-step process to use this inside AI projects - my super-prompt to extract the sauce from any copy reply "SWIPE" + retweet and i'll send it for free (must be following so i can DM)

i found the secret to writing copy that SELLS with AI... it's not about the model, it's not about the prompt, and it doesn't matter how good you are at writing it's about feeding AI with world-class examples i built a full copywriting swipe file you can use with any LLM: - over 1,000 examples of the best emails, ads and landing pages copy - my 3-step process to use this inside AI projects - my super-prompt to extract the sauce from any copy reply "SWIPE" + retweet and i'll send it for free (must be following so i can DM)

Machina

32,519 görüntüleme • 1 yıl önce

This is the fastest text-to-speech and speech-to-text API out there. It's under 250 ms to first-byte latency. That's what we need to deploy conversational AI applications everywhere! (I can't wait for the death of automated voice machines.) Look at the attached video. For the first time, I could have a conversation with an AI agent in real time without awkward pauses. This technology is Aura from Deepgram. It's the fastest text-to-speech option I've seen. Here is a GitHub repository with the demo in the video: You can use it to build a conversational AI application using natural voice. You'll need a Deepgram API Key and an OpenAI API Key. Thanks to Deepgram for giving me access to Aura and collaborating with me on this post. If you want to learn more about Aura, here is the announcement post:

This is the fastest text-to-speech and speech-to-text API out there. It's under 250 ms to first-byte latency. That's what we need to deploy conversational AI applications everywhere! (I can't wait for the death of automated voice machines.) Look at the attached video. For the first time, I could have a conversation with an AI agent in real time without awkward pauses. This technology is Aura from Deepgram. It's the fastest text-to-speech option I've seen. Here is a GitHub repository with the demo in the video: You can use it to build a conversational AI application using natural voice. You'll need a Deepgram API Key and an OpenAI API Key. Thanks to Deepgram for giving me access to Aura and collaborating with me on this post. If you want to learn more about Aura, here is the announcement post:

Santiago

185,560 görüntüleme • 2 yıl önce