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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

14,502 subscribers

14,226 次观看 • 8 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

23 条评论

Name can’t be blank 的头像

Name can’t be blank8 个月前

this is so cool bro is there any way we can donate to you or fund you? we can do it through @BagsApp

以太坊 Princess ✨ 的头像

以太坊 Princess ✨8 个月前

the ticker is $waifu G6TuWo7PhrdSFDiTjyjn9nqkyNvNqpwfkJYxwh3MBAGS claim the fees bro

Barbossa 🏴‍☠️ 的头像

Barbossa 🏴‍☠️8 个月前

So you telling a bot to copy in your clipboard meow, to paste meow on twitter ? My friend you're the next openAI engineer

yv 的头像

yv8 个月前

😂

Barbossa 🏴‍☠️ 的头像

Barbossa 🏴‍☠️8 个月前

All g bro you vibecoding 😂

Payout 🐂🀄️ 的头像

Payout 🐂🀄️8 个月前

@yvtweets check your pms

Kuro 的头像

Kuro8 个月前

Someone created this for your project @yvtweets Should be good to have a community just for this

Two 的头像

Two8 个月前

israeli hands typed this

CRPT 的头像

CRPT8 个月前

Epic! Sawe this on @BagsApp, I aped

kool 🗽 的头像

kool 🗽8 个月前

yo @yvtweets you deserve a nice funding for waifu. community is joinning

Squab 的头像

Squab8 个月前

waifu & Ct mix pretty well; think about the lengths you can take this with the proper funding

CRPT 的头像

CRPT8 个月前

Can we get an x com for this project? Would be epic!

autumn 💫 的头像

autumn 💫8 个月前

Wow dis would be cute

yv 的头像

yv8 个月前

wdym would? it is

Julian 的头像

Julian8 个月前

This is actually sick. A desktop pet with real AI backends, custom personalities, and system control is way deeper than a gimmick. Open source multi-provider support makes this especially interesting, excited to see where you take it next.

Flex.hl 的头像

Flex.hl8 个月前

insaaane. It's over for gfs

Rain 的头像

Rain8 个月前

this feels fun now surprisingly powerful later

yv 的头像

yv8 个月前

yeah

astrea 的头像

astrea8 个月前

this one's really cutiee

GRITCULT 的头像

GRITCULT8 个月前

Yoooo

astrea 的头像

astrea8 个月前

G6TuWo7PhrdSFDiTjyjn9nqkyNvNqpwfkJYxwh3MBAGS Is this the CA?

astrea 的头像

astrea8 个月前

G6TuWo7PhrdSFDiTjyjn9nqkyNvNqpwfkJYxwh3MBAGS

Zyan⚡️ 的头像

Zyan⚡️8 个月前

G6TuWo7PhrdSFDiTjyjn9nqkyNvNqpwfkJYxwh3MBAGS Hey @yvtweets . Amazing waifu tek. Noticed that you had claimed the fees twice. Any plan on what’s next for the project. Will be good if you support too.

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16,179 次观看 • 3 个月前

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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.

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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.”

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300,060 次观看 • 1 个月前

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

182,306 次观看 • 7 个月前

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 • 10 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

20,438 次观看 • 1 年前

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