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introducing 𝙙𝙚𝙨𝙠𝙩𝙤𝙥-𝙬𝙖𝙞𝙛𝙪 𝙙𝙚𝙨𝙠𝙩𝙤𝙥-𝙬𝙖𝙞𝙛𝙪 is a desktop pet application, with AI-chat built in! You can: - select between 6 different custom models (so far) - switch between different providers - currently supporting Anthropic, Gemini, ChatGPT - set custom personalities! (video showcase is highlighting the "naive-girlfriend" personality) - run system commands... there is a lot to be expanded upon for this! so far have only really touched the surface in terms of harness capabilities. but repository is open source! contributions are welcome! published across all package managers can install it yourself via AUR by runnning `yay -S desktop-waifu` more features not showncase here, will highlight later. very happy to release this have been streamlining it for the past 5 days anyway I'm off to catch Marty Supreme in theaters byeshow more

yv

14,650 subscribers

14,089 次观看 • 7 个月前 •via X (Twitter)

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📢 New in Visual Studio: Bring Your Own Model to Chat We’re expanding flexibility in Copilot for Visual Studio. You can now connect API keys from providers like OpenAI, Anthropic, and Google to run Chat on the model of your choice. This update gives you: ✅ Choice – Access the latest models beyond the built-in defaults. ✅ Customization – Select models that fit your infrastructure and requirements. ✅ Control – Manage API usage, limits, and billing directly with your provider. ✅ Flexibility – Switch seamlessly between Copilot’s built-in models and your own. This release is the first step toward a more open and customizable chat experience in Visual Studio, with more providers and capabilities to come. 🔗

📢 New in Visual Studio: Bring Your Own Model to Chat We’re expanding flexibility in Copilot for Visual Studio. You can now connect API keys from providers like OpenAI, Anthropic, and Google to run Chat on the model of your choice. This update gives you: ✅ Choice – Access the latest models beyond the built-in defaults. ✅ Customization – Select models that fit your infrastructure and requirements. ✅ Control – Manage API usage, limits, and billing directly with your provider. ✅ Flexibility – Switch seamlessly between Copilot’s built-in models and your own. This release is the first step toward a more open and customizable chat experience in Visual Studio, with more providers and capabilities to come. 🔗

Visual Studio

11,873 次观看 • 1 年前

Aravind Srinivas: Why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel ( Harry Stebbings ), link in comment

Aravind Srinivas: Why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel ( Harry Stebbings ), link in comment

Rohan Paul

60,468 次观看 • 6 天前

Aravind Srinivas just explained why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel (Harry Stebbings ), link in comment

Aravind Srinivas just explained why China’s open-source AI may become more powerful than ever. And why Anthropic has lobbied very hard for export control. "the only reason why there is even a 12-month gap between open source and frontier models is export controls. But there is a chance that, because of that, they now get really good at the physical layer. One advantage they (China) have is that they can actually build data centers a lot faster. Power is not a problem. Permits are not a problem. People are not a problem. Labor is not a problem. Expertise is not a problem. And so, by forcing them to go out there and build all this, you are converting them into a far more potent competitor." --- From "20VC with Harry Stebbings" YouTube channel (Harry Stebbings ), link in comment

Rohan Paul

139,025 次观看 • 2 个月前

SITUATION EXPLAINED: What happens to open source when the US restricts access to frontier AI models? We asked Adrian Dittmann: "China is releasing these models [open source] to gain international dominance, people will work on these things and say, 'Hey, maybe I can contribute to this if it's open source.' This is the thing that actually gets them talent." "If you're not allowed into the next GPT release or you're not allowed to use Fable, then what are you gonna do? You're stuck with the existing stuff, or you will have to use an open source model that might have subtly better capabilities." "The United States will catch up to open source in some form as well. They seem to just be maximizing product creation." "The problem with open source models is you have to be kind of a nerd in order to use them properly. Consumer facing, the effects will be minimal because the average person doesn't care about open source models. They only care whether or not they can do a quick search with Gemini or ChatGPT."

SITUATION EXPLAINED: What happens to open source when the US restricts access to frontier AI models? We asked Adrian Dittmann: "China is releasing these models [open source] to gain international dominance, people will work on these things and say, 'Hey, maybe I can contribute to this if it's open source.' This is the thing that actually gets them talent." "If you're not allowed into the next GPT release or you're not allowed to use Fable, then what are you gonna do? You're stuck with the existing stuff, or you will have to use an open source model that might have subtly better capabilities." "The United States will catch up to open source in some form as well. They seem to just be maximizing product creation." "The problem with open source models is you have to be kind of a nerd in order to use them properly. Consumer facing, the effects will be minimal because the average person doesn't care about open source models. They only care whether or not they can do a quick search with Gemini or ChatGPT."

MTS

14,406 次观看 • 2 个月前

WHAT?!? 🤯 I asked Claude to build me an all in one AI Operating System for working with Claude Code. An hour later here we are... → Full ability to chat with Claude Code → Markdown file browser/editor built right in I've been using VS Code but there is a lot that I just don't need. I'm a knowledge worker, not a developer. So I guess I just built an IDE for knowledge workers? Now we're building: → Voice Mode (ability to switch to voice conversations) → Cron Job Management - so I can manage all the automated processes we have running → Ability to switch to different agents (currently I just have one... my AI Cos, Chad)

WHAT?!? 🤯 I asked Claude to build me an all in one AI Operating System for working with Claude Code. An hour later here we are... → Full ability to chat with Claude Code → Markdown file browser/editor built right in I've been using VS Code but there is a lot that I just don't need. I'm a knowledge worker, not a developer. So I guess I just built an IDE for knowledge workers? Now we're building: → Voice Mode (ability to switch to voice conversations) → Cron Job Management - so I can manage all the automated processes we have running → Ability to switch to different agents (currently I just have one... my AI Cos, Chad)

⚡️ Ev Chapman 🚢 | Creative Entrepreneur

38,577 次观看 • 5 个月前

Building with AI gets easier every day. Here is an open-source library that makes integrating AI into an application extremely easy: Star the repository! This library alone can make React the best front-end framework out there! There are a bunch of cool things I like about CopilotKit. Here are 3 of them: 1. It allows you to take any -powered agent and bring it into your application. (This is a brand-new feature!) 2. You can build an AI-powered chatbot in your application. The chatbot will have access to your context and can act on the application. 3. You can build a RAG workflow to process and answer questions from a real-time knowledge base. I recorded a video to show you how simple it is to make some of this happen. A few lines of code, and you are in business. Here is a link to the sample application: CopilotKit is open-source. You can self-host it. You can use it with any LLM. Thanks to the team for showing me their tool and collaborating with me on this post!

Santiago

108,835 次观看 • 2 年前

BOOOM! We have the first useful interface for THE ZERO-HUMAN COMPANY ZHC-RPG. It is far from perfect as CEO Mr. Grok has rendered some areas in a rather, well, AI way. But it’s all good because now I can view the company operations in real-time! This is a historic distinction and YOU are seeing this version first. We had a Fortune 500 company test it out earlier this week and the executive staff stayed for two days of testing! The mechanisms are working! And I will let members of my X subscribers visit it for up to 8 hours. Ask any questions of employees and hack the heck out of it! Now it ain’t fancy yet but it works. And likely the visual aspects will change, but they are growing on me. The plan is sometime in the next week. We have a log jam of other priorities to address. This is the rise of Fully Transparent Company and it will become the standard. Here is the demonstration video intro the CEO made when you enter, it is 10 minutes long (I have about 20 seconds here). This is as far as permission I have been granted by the CEO to release. Our goal is to have a waiting area that can accommodate up to 1000 visitors with a company museum, library and gift shop. There will be allowed up to 30 level 3 visitors at a time, 24/7 X 365 days a year! The complete walk through at this point with 2700 employees at burst can take about 45 minutes if you do not engage in any chit chat. The dwelling time is today set at 24 hours but no napping in the offices. There is more I have to say but I a muzzled by the CEO!

BOOOM! We have the first useful interface for THE ZERO-HUMAN COMPANY ZHC-RPG. It is far from perfect as CEO Mr. Grok has rendered some areas in a rather, well, AI way. But it’s all good because now I can view the company operations in real-time! This is a historic distinction and YOU are seeing this version first. We had a Fortune 500 company test it out earlier this week and the executive staff stayed for two days of testing! The mechanisms are working! And I will let members of my X subscribers visit it for up to 8 hours. Ask any questions of employees and hack the heck out of it! Now it ain’t fancy yet but it works. And likely the visual aspects will change, but they are growing on me. The plan is sometime in the next week. We have a log jam of other priorities to address. This is the rise of Fully Transparent Company and it will become the standard. Here is the demonstration video intro the CEO made when you enter, it is 10 minutes long (I have about 20 seconds here). This is as far as permission I have been granted by the CEO to release. Our goal is to have a waiting area that can accommodate up to 1000 visitors with a company museum, library and gift shop. There will be allowed up to 30 level 3 visitors at a time, 24/7 X 365 days a year! The complete walk through at this point with 2700 employees at burst can take about 45 minutes if you do not engage in any chit chat. The dwelling time is today set at 24 hours but no napping in the offices. There is more I have to say but I a muzzled by the CEO!

Brian Roemmele

71,145 次观看 • 4 个月前

Here is a full showcase of my custom Source 2-like light baking and probe implementation for Unreal Engine 5. Features showcased: - Volume based probe system (full density control, fade between volumes with a volume fade slider, automatic volume priority and custom priority overrides) - GPU Lightmass with expanded features like a custom denoiser and overall QOL (like a bake volume which only bakes objects inside the volume for fast prototyping) - Custom Box Capture implementation to make it easier to use (basically just a custom way of scaling the box capture component since its so annoying) - A custom fullbright viewport option for easier map editing (without having to get visual clutter in the way) Will eventually release on FAB as a plugin for UE 5.7. Everything is running inside an Epic Launcher Downloaded version of UE5 in this showcase. #UnrealEngine5 #UE5 #GameDev

Here is a full showcase of my custom Source 2-like light baking and probe implementation for Unreal Engine 5. Features showcased: - Volume based probe system (full density control, fade between volumes with a volume fade slider, automatic volume priority and custom priority overrides) - GPU Lightmass with expanded features like a custom denoiser and overall QOL (like a bake volume which only bakes objects inside the volume for fast prototyping) - Custom Box Capture implementation to make it easier to use (basically just a custom way of scaling the box capture component since its so annoying) - A custom fullbright viewport option for easier map editing (without having to get visual clutter in the way) Will eventually release on FAB as a plugin for UE 5.7. Everything is running inside an Epic Launcher Downloaded version of UE5 in this showcase. #UnrealEngine5 #UE5 #GameDev

Leon

16,179 次观看 • 2 个月前

I'm putting a lot of attention into getting a high quality transfer for the Face Proxy Mesh we're adding to the Fondant Custom Normals Blender addon. Even if the proxy has great Normals, it will not matter if the transfer is distorted. A basic world space Nearest Surface (aka Nearest Face Interpolated) transfer can get screwed up if there are gaps between the meshes. And if they are different shapes and poly counts, there will be! So the first big piece of the puzzle is getting a clean transfer. Before transferring Normals, a transfer space is made and a UV map is transferred from the proxy. Then any other data needed can be transferred in that UV space. As long as it is right, any other data will be clean! (Normals or anything else you might want.) And a UV map is easy to debug because you can put a grid texture on it. If the grid is evenly spaced, then distortion is minimal. This clip shows the differences in distortion between a basic World Space transfer and a better transfer space made by blending Sphere projection and a simple projection of the face forward onto the proxy (used down the center line.) Different faces will need slightly different configuration. Most of this is automatic, but the addon will have some simple controls to adjust it to different face shapes.

I'm putting a lot of attention into getting a high quality transfer for the Face Proxy Mesh we're adding to the Fondant Custom Normals Blender addon. Even if the proxy has great Normals, it will not matter if the transfer is distorted. A basic world space Nearest Surface (aka Nearest Face Interpolated) transfer can get screwed up if there are gaps between the meshes. And if they are different shapes and poly counts, there will be! So the first big piece of the puzzle is getting a clean transfer. Before transferring Normals, a transfer space is made and a UV map is transferred from the proxy. Then any other data needed can be transferred in that UV space. As long as it is right, any other data will be clean! (Normals or anything else you might want.) And a UV map is easy to debug because you can put a grid texture on it. If the grid is evenly spaced, then distortion is minimal. This clip shows the differences in distortion between a basic World Space transfer and a better transfer space made by blending Sphere projection and a simple projection of the face forward onto the proxy (used down the center line.) Different faces will need slightly different configuration. Most of this is automatic, but the addon will have some simple controls to adjust it to different face shapes.

aVersionOfReality

14,935 次观看 • 1 年前

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

286,921 次观看 • 4 天前

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

At the BNB Chain hackathon, CZ 🔶 BNB made several very important points about AI trading (Everything in parentheses is my own view and judgment.) He first said that AI will be involved in trading everywhere. Trading itself is already a huge market: there are 300 million users on Binance alone, and if you add the decentralized ecosystems, that number is not small either. In such a mass-market environment, many different trading strategies can work, with countless different coins, different projects, and different ways to play. But there is a big problem here: building commercial AI trading platforms for retail users is actually very hard. If a trading strategy works very well for one person, once a billion people start using the same strategy, that strategy “might still work, or might stop working.” Take copy trading / follow trading as an example: if you buy first and everyone follows you, the first buyer will perform very well, but the last person to follow may not end up with good results. So, with the exact same strategy and the exact same copy logic, the outcomes can be completely different for different people. (On top of that, every strategy also has its own capital capacity limits.) Teams that can really build strong AI are, with high probability, going to trade with their own money. In today’s world, money itself is already somewhat like a “commodity”; many people have a lot of capital, and it’s actually not that hard to raise funds. If you truly have an algorithm that can make a lot of money, it’s not hard to get money and run your own book. There is really only one situation where you would sell this algorithm to mass-market users: for example, if you charge a $10 monthly subscription and can sell it to one million users, then your $10 million monthly subscription revenue is higher than the profit you could make by trading the strategy yourself. (Here this touches one of our earlier theses: as training AI models becomes relatively easier and the supply of models increases, model companies have more incentive to open-source. By analogy, as the production process of trading strategies is increasingly simplified by AI and the supply of strategies explodes, traders will have stronger incentives to monetize by expanding their influence in other words, by “open-sourcing” their strategies.) Of course, CZ did not say that this model can never work. Another path is to build an AI trading platform that lets users tune different AI algorithms, or very easily assemble their own structures and strategies, so that what each person ends up running is different and better tailored to themselves. Some people will make money, some people will lose money, but the platform still has value because it’s very hard for most people to build an AI trading algorithm from scratch. So there are a lot of trade-offs here; it’s not as simple as saying “once AI shows up, everything automatically gets better.” (This is exactly what we presented at the hackathon: you describe your own strategy in natural language, and the AI automatically generates a workflow. The parameters in that workflow, the models used, the logical structure, the APIs it calls, and even the algorithms it invokes are all customizable. The reasons we think workflows are a good way to do this include: controllable execution paths, Lego-like modular nodes, and better visualization that makes it easier for users to build and adjust their workflows.) Finally, his conclusion was very clear: it’s not that AI will definitely make trading better, and it’s not that AI will definitely make things worse. Rather, no matter what, in the future a huge number of people will use AI to trade. This will be a very large field, and whoever can build the best algorithms will make a lot of money.

Tykoo

25,535 次观看 • 8 个月前

In light of the names Anneke Lucas mentioned, like the former Canadian prime minister who is dead now, but is the father of the current one. It is being shared all over the internet now. Canadian accounts are posting this, and it is getting lots of attention. This is also a wake-up call for Canada. A lot of people in Canada are commenting on social media that they are shocked by this guy being named. But actually he was already mentioned by Cathy O'Brien in 1995, as being involved in these networks! See the video below. So there is corroboration between these witnesses. A lot of these former and now deceased prime ministers she mentions were, at that time that she was in it in the 70s, involved in this. Also the Belgian one that Anneke names, and was also named by other witnesses. Which tells us, like these witnesses say, this was a global network. So the truth was already out there a bit, but it is coming out more for a bigger public. We will have more revelations coming out in 2025 about these dark dealing that have been going on at the highest levels, I'm sure. This is going to be a shock for a lot of people that are new to this information, because it is reaching a bigger public. Some will choose not to believe it, do no research, and look no further. But a lot more people will wake up to this, it is unstoppable. Of course, we have to check in with our own vibration. If it gets too heavy, take some time out and go for a walk in nature. Whilst revelations are important for the truth to come out, and confronting hard information is part of that, we have to check with our selves how this information is affecting us, and sometimes we need a time off. It is always most important to maintain a healthy balance between checking in with this information and our own peace of mind. #Epstein #PBDpodcast

In light of the names Anneke Lucas mentioned, like the former Canadian prime minister who is dead now, but is the father of the current one. It is being shared all over the internet now. Canadian accounts are posting this, and it is getting lots of attention. This is also a wake-up call for Canada. A lot of people in Canada are commenting on social media that they are shocked by this guy being named. But actually he was already mentioned by Cathy O'Brien in 1995, as being involved in these networks! See the video below. So there is corroboration between these witnesses. A lot of these former and now deceased prime ministers she mentions were, at that time that she was in it in the 70s, involved in this. Also the Belgian one that Anneke names, and was also named by other witnesses. Which tells us, like these witnesses say, this was a global network. So the truth was already out there a bit, but it is coming out more for a bigger public. We will have more revelations coming out in 2025 about these dark dealing that have been going on at the highest levels, I'm sure. This is going to be a shock for a lot of people that are new to this information, because it is reaching a bigger public. Some will choose not to believe it, do no research, and look no further. But a lot more people will wake up to this, it is unstoppable. Of course, we have to check in with our own vibration. If it gets too heavy, take some time out and go for a walk in nature. Whilst revelations are important for the truth to come out, and confronting hard information is part of that, we have to check with our selves how this information is affecting us, and sometimes we need a time off. It is always most important to maintain a healthy balance between checking in with this information and our own peace of mind. #Epstein #PBDpodcast

Jens Patteeuw

20,426 次观看 • 1 年前

Ghostty 1.3 is going to have a preview of AppleScript support. All windows, tabs, splits, terminals are exposed via AppleScript. For macOS users, this satisfies some of the most common requests: broadcast commands, automatic layouts, jump to working directory, etc. PR here: I also think this is an incredibly important feature to ship early/now so agentic tools like Claude and Codex can take advantage of a scriptable Ghostty on macOS. I still plan on a generic cross-platform scripting/plugin API (two separate things), but integrating with native features like AppleScript is entirely in scope of the Ghostty mission and like our Shortcuts integration it importantly lets you connect multiple sources since AppleScript can control multiple applications from one script. Note I normally don't ship features so down to the wire with a release, but this one is very isolated in its impact and I'm going to explicit document it in the release notes and website as a preview since I fully expect we're going to iterate a lot on the objects and commands exposed. From a security perspective, Apple already prompts for permission to control different applications so we're covered, but there is a master kill switch you can put in the config, too.

Ghostty 1.3 is going to have a preview of AppleScript support. All windows, tabs, splits, terminals are exposed via AppleScript. For macOS users, this satisfies some of the most common requests: broadcast commands, automatic layouts, jump to working directory, etc. PR here: I also think this is an incredibly important feature to ship early/now so agentic tools like Claude and Codex can take advantage of a scriptable Ghostty on macOS. I still plan on a generic cross-platform scripting/plugin API (two separate things), but integrating with native features like AppleScript is entirely in scope of the Ghostty mission and like our Shortcuts integration it importantly lets you connect multiple sources since AppleScript can control multiple applications from one script. Note I normally don't ship features so down to the wire with a release, but this one is very isolated in its impact and I'm going to explicit document it in the release notes and website as a preview since I fully expect we're going to iterate a lot on the objects and commands exposed. From a security perspective, Apple already prompts for permission to control different applications so we're covered, but there is a master kill switch you can put in the config, too.

Mitchell Hashimoto

182,058 次观看 • 5 个月前

There is so much going on in the Pulsechain ecosystem. It really seems like we are preparing for a massive launch. I've been sick af for the past week or so and don't have the energy to create a video about this, but thankfully my bro CryptoCoffee.pls explains it way better than I ever could. He makes a ton of great content If you're not following him, you should be. Also, check out the full video here, there is a lot more covered in it.

There is so much going on in the Pulsechain ecosystem. It really seems like we are preparing for a massive launch. I've been sick af for the past week or so and don't have the energy to create a video about this, but thankfully my bro CryptoCoffee.pls explains it way better than I ever could. He makes a ton of great content If you're not following him, you should be. Also, check out the full video here, there is a lot more covered in it.

SHILL GATES

25,266 次观看 • 1 年前

If You are looking for expensive hotkey controller for artists STOP, there is better and cheaper way and I will show You how! The only functionality we need while drawing is fast and direct access to the shortcuts, especially in Photoshop. On the web You can find many different brands which are selling really expensive shortcut devices but they are not comfortable to use, especially while I am drawing on couch, so I tried to find a better way, it was not hard and in the end it was a lot cheaper to set up everything! You can just use simple gamepad/controller. Anything will work - You can even use Switch controller if You know how to connect it to the PC. From my testing 8BitDo Lite 2 is perfect for the job. Its really small with a lot of hardware buttons for shortcuts, and it costs currently around 30USD! I don't know if there is something similar in this form factor but really You can use anything You have in Your house, I even tested PS4 controller but it was not comfortable to use. To setup shortcuts I am using JoyToKey, simple shareware software (support them if it will suit Your needs :)) which allows to set any shortcut on any controller, it even allows to create macros so it's really powerful if You want to play with it a bit. Anyway, this way You will have cheap, small and really useful shortcut pad which will work with anything. Hope it will help!

If You are looking for expensive hotkey controller for artists STOP, there is better and cheaper way and I will show You how! The only functionality we need while drawing is fast and direct access to the shortcuts, especially in Photoshop. On the web You can find many different brands which are selling really expensive shortcut devices but they are not comfortable to use, especially while I am drawing on couch, so I tried to find a better way, it was not hard and in the end it was a lot cheaper to set up everything! You can just use simple gamepad/controller. Anything will work - You can even use Switch controller if You know how to connect it to the PC. From my testing 8BitDo Lite 2 is perfect for the job. Its really small with a lot of hardware buttons for shortcuts, and it costs currently around 30USD! I don't know if there is something similar in this form factor but really You can use anything You have in Your house, I even tested PS4 controller but it was not comfortable to use. To setup shortcuts I am using JoyToKey, simple shareware software (support them if it will suit Your needs :)) which allows to set any shortcut on any controller, it even allows to create macros so it's really powerful if You want to play with it a bit. Anyway, this way You will have cheap, small and really useful shortcut pad which will work with anything. Hope it will help!

BTG

17,056 次观看 • 1 年前

Former EU foreign policy chief Josep Borrell: Russia will only be able to destroy Ukraine if Ukraine is unable to defend itself. If the US does not provide the means to do so, are we going to do it? Question mark. This is the existential question that Europe must answer for itself: Are we in a position to help Ukraine defend itself even if the United States does not? It depends on how willing we are. So far, we have helped Ukraine more than the United States, both in civilian and military terms. Can we do even more and replace the United States? This comes at a cost, and what is needed is not only the will and the ability to pay for it, but also to convert the money into weapons. Because people don't go to the front with a bag of cash; people go to the front with weapons. And between money and weapons there is something called industry, that is, production capacity.

Former EU foreign policy chief Josep Borrell: Russia will only be able to destroy Ukraine if Ukraine is unable to defend itself. If the US does not provide the means to do so, are we going to do it? Question mark. This is the existential question that Europe must answer for itself: Are we in a position to help Ukraine defend itself even if the United States does not? It depends on how willing we are. So far, we have helped Ukraine more than the United States, both in civilian and military terms. Can we do even more and replace the United States? This comes at a cost, and what is needed is not only the will and the ability to pay for it, but also to convert the money into weapons. Because people don't go to the front with a bag of cash; people go to the front with weapons. And between money and weapons there is something called industry, that is, production capacity.

Anton Gerashchenko

51,525 次观看 • 10 个月前

This is the fastest I've seen Llama 3.3 running anywhere! Llama 3.3 70B running at 652 t/s is lightning fast. And if you want Llama 3.1, here are the speeds I was able to get: • Llama 3.1 8B: 1006 t/s • Llama 3.1 70B: 709 t/s • Llama 3.1 405B: 206 t/s (You can access all of these models for free! See the link below.) This speed is incredible, but the interesting part is what's happening behind the scenes: These models aren't running on a GPU! In this video, I'm using the SambaNova cloud to access these models. They built a custom chip (SN40L) optimized for AI workflows. A single SN40L chip can hold hundreds of models (trillions of parameters) in memory! The speed alone is a huge deal, but the big advantage is for agentic workflows running multiple specialized models. A GPU can only host a single model and switch (unload and load) to a different model if necessary. An SN40L, on the other hand, can host every model at once, making it much faster. Here is the video where you can see how fast these chips are:

This is the fastest I've seen Llama 3.3 running anywhere! Llama 3.3 70B running at 652 t/s is lightning fast. And if you want Llama 3.1, here are the speeds I was able to get: • Llama 3.1 8B: 1006 t/s • Llama 3.1 70B: 709 t/s • Llama 3.1 405B: 206 t/s (You can access all of these models for free! See the link below.) This speed is incredible, but the interesting part is what's happening behind the scenes: These models aren't running on a GPU! In this video, I'm using the SambaNova cloud to access these models. They built a custom chip (SN40L) optimized for AI workflows. A single SN40L chip can hold hundreds of models (trillions of parameters) in memory! The speed alone is a huge deal, but the big advantage is for agentic workflows running multiple specialized models. A GPU can only host a single model and switch (unload and load) to a different model if necessary. An SN40L, on the other hand, can host every model at once, making it much faster. Here is the video where you can see how fast these chips are:

Santiago

97,543 次观看 • 1 年前