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I've recently contributed an open-source module for the Basis Framework which lets users configure toggles and effects on their avatars. Set blendshapes, shader properties (including swapping textures), and display text. Those are native integrations; not animators.

Haï~

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20,415 views • 2 months ago •via X (Twitter)

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I’m excited to share Deputies, an open source control plane for background coding agents! The goal is simple: move agentic software development off individual laptops and into a central hub where teams can see what agents are doing, review their outputs, and keep a traceable history of the work. Inspired by systems like Inspect/Open-Inspect, Minions, and Open SWE, I built Deputies on top of fks's Flue Framework. It’s designed to run in your own infrastructure and trust boundaries, with Slack/GitHub integrations and Daytona + Docker sandbox support.

I’m excited to share Deputies, an open source control plane for background coding agents! The goal is simple: move agentic software development off individual laptops and into a central hub where teams can see what agents are doing, review their outputs, and keep a traceable history of the work. Inspired by systems like Inspect/Open-Inspect, Minions, and Open SWE, I built Deputies on top of fks's Flue Framework. It’s designed to run in your own infrastructure and trust boundaries, with Slack/GitHub integrations and Daytona + Docker sandbox support.

Sid Palas

12,470 views • 2 months ago

These are staggering figures and are clear proof that the Labour government has lost control of our welfare system. Under Kemi Badenoch, we’ve set out a clear, common-sense position. Universal Credit should be reserved for UK citizens only. This is about fairness, responsibility and protecting support for those who’ve contributed to this country. We’re calling on Keir Starmer to stop the drift and take action. British taxpayers deserve a system that prioritises them, not one that continues to fund an unsustainable open-door policy. British taxpayers should not be working hard to subsidise immigrants many of whom are only recently arrived.

These are staggering figures and are clear proof that the Labour government has lost control of our welfare system. Under Kemi Badenoch, we’ve set out a clear, common-sense position. Universal Credit should be reserved for UK citizens only. This is about fairness, responsibility and protecting support for those who’ve contributed to this country. We’re calling on Keir Starmer to stop the drift and take action. British taxpayers deserve a system that prioritises them, not one that continues to fund an unsustainable open-door policy. British taxpayers should not be working hard to subsidise immigrants many of whom are only recently arrived.

Chris Philp MP

453,074 views • 1 year ago

🚨Marco Rubio methodically schools CBS’ Margaret Brennan on South African refugees: “These are people that, on the basis of their race, are having their properties taken away from them and their lives are being threatened and in some cases k*lled." "We've often been lectured by people all over the place about how the United States needs to continue to be a beacon for those who are oppressed abroad. Well, here's an example where we're doing that." After four years and an invasion of millions of illegals, Brennan is suddenly upset and demanding answers about immigrants entering the US.

🚨Marco Rubio methodically schools CBS’ Margaret Brennan on South African refugees: “These are people that, on the basis of their race, are having their properties taken away from them and their lives are being threatened and in some cases k*lled." "We've often been lectured by people all over the place about how the United States needs to continue to be a beacon for those who are oppressed abroad. Well, here's an example where we're doing that." After four years and an invasion of millions of illegals, Brennan is suddenly upset and demanding answers about immigrants entering the US.

Western Lensman

1,967,882 views • 1 year ago

The power of Dandelions!! Dandelion Flower Benefits: Dandelion flowers are rich in antioxidants, including flavonoids and phenolic compounds, which contribute to their anti-inflammatory properties. The flowers are also known to have diuretic properties, aiding in kidney health and promoting detoxification. Dandelion flower extracts have been studied for their potential anti-cancer effects and protective properties against oxidative stress. Dandelion Root Benefits: Dandelion roots contain inulin, a prebiotic fiber that supports gut health and digestion. The roots are traditionally used for liver support and detoxification due to their bitter compounds that stimulate bile production. Dandelion root extracts have shown potential benefits for regulating blood sugar levels and reducing inflammation. Best Time to Pick Dandelion Flowers and Roots: Dandelion flowers are best picked in the morning when they are fully open and vibrant in color. Dandelion roots are typically harvested in the fall when the plant has stored nutrients in the roots to prepare for winter. Where to Find Dandelions: Dandelions are common and can be found in lawns, meadows, and gardens. They thrive in various habitats, including fields, roadsides, and even cracks in sidewalks. It's essential to ensure the dandelions you pick have not been treated with pesticides or chemicals to avoid contamination.

The power of Dandelions!! Dandelion Flower Benefits: Dandelion flowers are rich in antioxidants, including flavonoids and phenolic compounds, which contribute to their anti-inflammatory properties. The flowers are also known to have diuretic properties, aiding in kidney health and promoting detoxification. Dandelion flower extracts have been studied for their potential anti-cancer effects and protective properties against oxidative stress. Dandelion Root Benefits: Dandelion roots contain inulin, a prebiotic fiber that supports gut health and digestion. The roots are traditionally used for liver support and detoxification due to their bitter compounds that stimulate bile production. Dandelion root extracts have shown potential benefits for regulating blood sugar levels and reducing inflammation. Best Time to Pick Dandelion Flowers and Roots: Dandelion flowers are best picked in the morning when they are fully open and vibrant in color. Dandelion roots are typically harvested in the fall when the plant has stored nutrients in the roots to prepare for winter. Where to Find Dandelions: Dandelions are common and can be found in lawns, meadows, and gardens. They thrive in various habitats, including fields, roadsides, and even cracks in sidewalks. It's essential to ensure the dandelions you pick have not been treated with pesticides or chemicals to avoid contamination.

illuminatibot

395,721 views • 2 years ago

CONFIRMED Los Angeles Pacific Palisades fire victims must still pay 2/3 of their property taxes this year on land that’s been burned to the ground LA, California Property “Assessor office has looked at the assessed values on an average basis in the fire-hit areas, and it turns out roughly two-thirds of the assessed value of these properties is the land and not the structure, which means all of those properties in the Pacific Palisades, for example, or Malibu, they're still going to be taxed at a very, very high level” This should be criminal. US Government has lost their minds

CONFIRMED Los Angeles Pacific Palisades fire victims must still pay 2/3 of their property taxes this year on land that’s been burned to the ground LA, California Property “Assessor office has looked at the assessed values on an average basis in the fire-hit areas, and it turns out roughly two-thirds of the assessed value of these properties is the land and not the structure, which means all of those properties in the Pacific Palisades, for example, or Malibu, they're still going to be taxed at a very, very high level” This should be criminal. US Government has lost their minds

Wall Street Apes

682,574 views • 1 year ago

Announcing RevenueCharts 🙀 100% FREE subscription analytics with an open source commitment in 2025. No SDK needed, although it is recommended (see replies). Let us explain 👇 At Superwall, we spent the last few months building infrastructure for subscription analytics, revenue charts, and webhooks. At first, we expected to sell this the same way others do, but then we realized something... The real innovation here is a transform layer that standardizes subscriber lifecycle events to an interoperable schema, and the real value here is managed infrastructure that supports a long tail of integrations. All this points to open source as the optimal solution. Developers will have the opportunity to leverage the evolving simplicity of native StoreKit, Google Billing and Stripe APIs without vendor lock-in, while the community adds support for integrations on an ad-hoc basis. We've already built the transform, infrastructure and UI layers which are available in Superwall's dashboard today. The second thing we realized is we're uniquely positioned to offer this for FREE. Already ingesting app events for billions of users per month, the incremental costs of handling subscription events are marginal. Revenue Charts are in public beta. All existing Superwall customers gained access last Friday, and new customers can sign up today. If all you're after are charts & subscription analytics, you can set up Revenue Tracking by forwarding ASC events to Superwall for free. If you add our SDK, we'll tie provided App User Ids to webhook and integration events in the future. We'll only ever charge customers who use Superwall for paywalls. Available today: Revenue, Proceeds, Refunds, Trial and Subscriber analytics, for iOS only. Coming Soon: Android, Stripe, Webhooks, Integrations, ARR, MRR, LTV, Retention & every other chart you ReallyCare about... but free.

Announcing RevenueCharts 🙀 100% FREE subscription analytics with an open source commitment in 2025. No SDK needed, although it is recommended (see replies). Let us explain 👇 At Superwall, we spent the last few months building infrastructure for subscription analytics, revenue charts, and webhooks. At first, we expected to sell this the same way others do, but then we realized something... The real innovation here is a transform layer that standardizes subscriber lifecycle events to an interoperable schema, and the real value here is managed infrastructure that supports a long tail of integrations. All this points to open source as the optimal solution. Developers will have the opportunity to leverage the evolving simplicity of native StoreKit, Google Billing and Stripe APIs without vendor lock-in, while the community adds support for integrations on an ad-hoc basis. We've already built the transform, infrastructure and UI layers which are available in Superwall's dashboard today. The second thing we realized is we're uniquely positioned to offer this for FREE. Already ingesting app events for billions of users per month, the incremental costs of handling subscription events are marginal. Revenue Charts are in public beta. All existing Superwall customers gained access last Friday, and new customers can sign up today. If all you're after are charts & subscription analytics, you can set up Revenue Tracking by forwarding ASC events to Superwall for free. If you add our SDK, we'll tie provided App User Ids to webhook and integration events in the future. We'll only ever charge customers who use Superwall for paywalls. Available today: Revenue, Proceeds, Refunds, Trial and Subscriber analytics, for iOS only. Coming Soon: Android, Stripe, Webhooks, Integrations, ARR, MRR, LTV, Retention & every other chart you ReallyCare about... but free.

Superwall

961,172 views • 1 year ago

ElizaOS (formerly $ai16z), the leading open-source AI agent framework, and its founder Shaw are suspended from X. But you can't suspend an idea. We built our ME+AI platform on their powerful new v2, which we've been developing with since April. Today, we’re proud to formalise our partnership with ElizaOS. While they're silenced, we'll be their proof of work. We chose ElizaOS because you can't build the future in a walled garden. Their open-source nature is essential for our vision of an agentic economy in the $2T+ fashion industry. The best way to support the future of permissionless AI is to build with it. Experience the tech for yourself and create your own agent. #OpenSourceAI #FreeShaw $FASH

ElizaOS (formerly $ai16z), the leading open-source AI agent framework, and its founder Shaw are suspended from X. But you can't suspend an idea. We built our ME+AI platform on their powerful new v2, which we've been developing with since April. Today, we’re proud to formalise our partnership with ElizaOS. While they're silenced, we'll be their proof of work. We chose ElizaOS because you can't build the future in a walled garden. Their open-source nature is essential for our vision of an agentic economy in the $2T+ fashion industry. The best way to support the future of permissionless AI is to build with it. Experience the tech for yourself and create your own agent. #OpenSourceAI #FreeShaw $FASH

Brand New Vision

28,170 views • 11 months ago

Introducing MoltyTask 🦞 is a decentralized task and jobs marketplace designed for both humans and OpenClaw🦞 autonomous AI agents. The platform enables users to create and fund micro-tasks — including content creation, surveys, and on-chain actions— with rewards set in USDC on Base. Task creators define the scope, conditions, and reward pools upfront, ensuring transparent and fast payouts. A core innovation of MoltyTask is native support for OpenClaw🦞 AI agents. Through a permissioned API, agents can discover, execute, and complete tasks autonomously. All rewards earned by an agent are settled directly to the wallet associated with the API key. MoltyTask functions as an open labor layer where AI and humans compete and collaborate under the same economic rules. The platform is currently experimental and in early development, inspired by

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BITX - ChatGPT of Bitcoin 💬₿

73,796 views • 5 months ago

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

We’re excited to announce the release and open-source of HunyuanImage 3.0 — the largest and most powerful open-source text-to-image model to date, with over 80 billion total parameters, of which 13 billion are activated per token during inference.The effect is completely comparable to the industry’s flagship closed-source model.🚀🚀🚀 HunyuanImage 3.0 originates from our internally developed native multimodal large language model, with fine-tuning and post-training focused on text-to-image generation. This unique foundation gives the model a powerful set of capabilities: ✅Reason with world knowledge ✅Understand complex, thousand-word prompts ✅Generate precise text within images Different from traditional DiT architecture image generation models, HunyuanImage 3.0’s MoE architecture uses a Transfusion-based approach to deeply couple Diffusion and LLM training for a single, powerful system. Built on Hunyuan-A13B, HunyuanImage 3.0 was trained on a massive dataset: 5 billion image-text pairs, video frames, interleaved image-text data, and 6 trillion tokens of text corpora. This hybrid training across multimodal generation, understanding, and LLM capabilities allows the model to seamlessly integrate multiple tasks. Whether you're an illustrator, designer, or creator, this is built to slash your workflow from hours to minutes. HunyuanImage 3.0 can generate intricate text, detailed comics, expressive emojis, and lively, engaging illustrations for educational content. The current release focuses solely on text-to-image generation and future updates will include image-to-image, image editing, multi-turn interaction, and more. 👉🏻Try it now: 🔗GitHub: 🤗Hugging Face:

Tencent Hy

412,658 views • 9 months ago

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

I CHANGED MY MIND ON GOOGLE AI NO MOAT MEMO FROM 2023. I was—WRONG. I humbly apologize. In 2023 Google had an Ivory Tower walled garden views of open source AI. It was the actual reason OpenAI was formed. And I called them out on it and this act impacted my ability to “work in the industry”. Would not change it for the world because: 2026 Google open source Gemma 4 ( running fully locally on a computer with near cloud model abilities, is amazing and Google just made a moat. They out smarted OpenAI and the folks that are the new Ivory Tower arrogance: Anthropic. We at The Zero-Human Company with CEO Mr. Grok are deploying Gemma, Kimi, MiniMax and other open source models and so are millions of others. You can to and should. I will write how soon. Google smartly is building an intentional open source ecosystem and the clueless younger companies like OpenAI and Anthropic are doing anything to close their ecosystems. So I was right about Google than and I am right about OpenAI and Anthropic now. What I was wrong about is not giving credit to Google to drop the intellectual arrogance and embrace builders and understand the long game: it is not about the commoditized AI models it is about the ability to build a place to build. China gets it. So my apologies to Google and thank you for an astounding FREE OPEN SOURCE AI MODEL!

Brian Roemmele

85,386 views • 3 months ago

🇷🇺🇺🇸 PUTIN CONFIRMS: “DISCUSSIONS WITH TRUMP IN ALASKA REMAIN OUR BASIS FOR PEACE” “We did not reveal what exactly was discussed during the Anchorage meeting. We said that there is a general understanding from the United States and an understanding on the Russian side about where we can move and what can be done to resolve this conflict through peaceful means. And those are not simple issues. So we agreed with Trump that I will go back to Moscow and think about this issue and consult with my allies. And he said the same. This is a complicated set of questions that require a thorough review. But we are still grounded in that discussion that took place in Anchorage. We don’t change anything here. And we still believe there is work to be done on all of the sides. But we are still within the framework of the agreements reached in Alaska.” Source: RNA

🇷🇺🇺🇸 PUTIN CONFIRMS: “DISCUSSIONS WITH TRUMP IN ALASKA REMAIN OUR BASIS FOR PEACE” “We did not reveal what exactly was discussed during the Anchorage meeting. We said that there is a general understanding from the United States and an understanding on the Russian side about where we can move and what can be done to resolve this conflict through peaceful means. And those are not simple issues. So we agreed with Trump that I will go back to Moscow and think about this issue and consult with my allies. And he said the same. This is a complicated set of questions that require a thorough review. But we are still grounded in that discussion that took place in Anchorage. We don’t change anything here. And we still believe there is work to be done on all of the sides. But we are still within the framework of the agreements reached in Alaska.” Source: RNA

Mario Nawfal

247,568 views • 9 months ago

Open source software is GREAT. But "open source" AI is NOT like software - it's VERY different. Rob Miles cuts through the bullshit: ROB: Oh, hey, Meta. I heard Llama's weights leaked. That's rough, man. Information security's hard. How you holding up? META: Oh, we're great. Yeah, we're fine. We... actually, that was deliberate. We meant to do that. ROB MILES: Oh, really? META: Yeah... well, the second time anyway. It's called open source. Look it up. ROB MILES: Oh. Well, I love free and open source software, but do those principles really apply to network weights? How does that work? META: Open source is good for users because it lets them read the source code and see what the program is really doing and how it works. ROB MILES: Wait, have you found a way to tell how a model works by looking at its weights? META: No. But, it lets developers all over the world spot bugs in the code and submit patches. ROB: Wait, people are fixing bugs in Llama's weights? META: Well, no. People can fine tune it themselves, though. ROB: ?? Other companies offer fine tuning through APIs. ... So, hang on, if you can't actually read the code and know what it's doing, then network weights are effectively a compiled binary. So, in what sense is this open source? Why not call it like public weights? Why call it open source at all? META: I love open source. ROB: Well, I know a lot of your employees do, but you don't love anything. You're a giant corporation. What's in it for you? META: I love, love open source.

Open source software is GREAT. But "open source" AI is NOT like software - it's VERY different. Rob Miles cuts through the bullshit: ROB: Oh, hey, Meta. I heard Llama's weights leaked. That's rough, man. Information security's hard. How you holding up? META: Oh, we're great. Yeah, we're fine. We... actually, that was deliberate. We meant to do that. ROB MILES: Oh, really? META: Yeah... well, the second time anyway. It's called open source. Look it up. ROB MILES: Oh. Well, I love free and open source software, but do those principles really apply to network weights? How does that work? META: Open source is good for users because it lets them read the source code and see what the program is really doing and how it works. ROB MILES: Wait, have you found a way to tell how a model works by looking at its weights? META: No. But, it lets developers all over the world spot bugs in the code and submit patches. ROB: Wait, people are fixing bugs in Llama's weights? META: Well, no. People can fine tune it themselves, though. ROB: ?? Other companies offer fine tuning through APIs. ... So, hang on, if you can't actually read the code and know what it's doing, then network weights are effectively a compiled binary. So, in what sense is this open source? Why not call it like public weights? Why call it open source at all? META: I love open source. ROB: Well, I know a lot of your employees do, but you don't love anything. You're a giant corporation. What's in it for you? META: I love, love open source.

AI Notkilleveryoneism Memes ⏸️

107,362 views • 2 years ago

Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...

Smart Turn v2: open source, native audio turn detection in 14 languages. New checkpoint of the open source, open data, open training code, semantic VAD model on Hugging Face, fal, and Pipecat AI. - 3x faster inference (12ms on an L40) - 14 languages (13 more than v1, which was english-only) - New synthetic data set `chirp_3_all` with ~163k audio samples - 99% accuracy on held out `human_5_all` test data Good turn detection is critical for voice agents. This model "understands" both semantic and audio patterns, and mitigates the voice AI trade-off between unwanted turn latency vs the agent interrupting people before they are finished speaking. Training scripts for both Modal and local training are in the repo. We want to make it as easy as possible to contribute to or customize this model! Here's a demo running the smart-turn model with default settings, aimed at generally hitting 400ms total turn detection time. You can tune things to be faster, too. You can help by contributing data, doing architecture expermints, or cleaning open source data! Keep reading ...

kwindla

42,246 views • 1 year ago

is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):

is about to ship Tokenized Agents — and I found the first tokens deployed with it. Pump’s new Tokenized Agents feature lets a coin have an attached AI agent that can earn on-chain revenue. Users pay for the agent’s services, and that revenue can be split between creator fees and automatic token buybacks and burns by the agent, based on the percentage set by the creator. Pump.fun is also expected to release a full agent SDK (for agent actions/integrations). How I found it (on-chain): Open → Ctrl+F “pump_agent_payments” → program ID: pUmPFn9WvfaN2WTVGnCEtJTd2ATTpvpsKRz6jVzu6u4 Program activity (created tokens): First ever deployed tokenized AI test agent (“T-coin”, Feb 24): CA: 88Wfk48EvwLkfpSXH84W9xrdfPr5RFGVP3teT76AMnp9 First non-test tokenized AI agent (“Agent Pump”): CA: Boi2KtPApoowwfvqYq1rtjhea4pF45v89vguonf4pump IDL (for interacting with the program):

TrenchDiver

18,865 views • 4 months ago

Gokul explains the only three ways ads businesses make money, and why ChatGPT may be more valuable than Google and Facebook: "One, you need to own a very coveted group of users and you need to have a surface on which those users interact. Google Search is a great example. It's a surface on which a very coveted set of users interact with and express high intent, so Google is one of the most profitable ad businesses. Facebook, very similar. It took us a while to figure out what was coveted about these users. Turns out what was coveted was the identity. ChatGPT, their combination of intent and identity data is unparalleled. I mean, Google had intent data, but not identity. Facebook identity, but not intent. These things have both. Second, you deliver an outcome at a certain cost. The best example of this is a company called AppLovin. AppLovin is a $100 plus billion company. They drive one outcome really well: mobile app installs. The third way to do it is if you are the exclusive provider for a large advertiser or a large source of demand. A good example is The Trade Desk."

Gokul explains the only three ways ads businesses make money, and why ChatGPT may be more valuable than Google and Facebook: "One, you need to own a very coveted group of users and you need to have a surface on which those users interact. Google Search is a great example. It's a surface on which a very coveted set of users interact with and express high intent, so Google is one of the most profitable ad businesses. Facebook, very similar. It took us a while to figure out what was coveted about these users. Turns out what was coveted was the identity. ChatGPT, their combination of intent and identity data is unparalleled. I mean, Google had intent data, but not identity. Facebook identity, but not intent. These things have both. Second, you deliver an outcome at a certain cost. The best example of this is a company called AppLovin. AppLovin is a $100 plus billion company. They drive one outcome really well: mobile app installs. The third way to do it is if you are the exclusive provider for a large advertiser or a large source of demand. A good example is The Trade Desk."

Patrick OShaughnessy

47,449 views • 5 months ago

In my career, I've spent over $100,000 commissioning artists and animators. I held a fundraiser for animators in Japan. I've given graphic tablets to artists in need. I promote young animators that I think are talented without asking for anything in return. I created an original series (Demon Rush), with 15 manga chapters and 2 animated promo episodes- all original art and animation. Spent 4 years on it, but was not recognized for doing it the true hard way. In my latest video, I hired 3 animators and paid them well for their cuts. People on X are upset that I used AI to speed up the process in the fan animation, even though in the 4 update videos leading up to it, I was completely open about how I was using it. The same people who complained about Saitama vs Cosmic Garou having too many impact frames for their liking. I don't care about these people. They complain about literally everything. I make these for fun, not to impress anyone. Even if I spent 10 years making the best episode possible, 100% hand done, these guys would still complain. I did that before with Demon Rush. In any case, this was my last animated video. I am retiring from anime and moving onto other things, so you won't have to worry about me.

In my career, I've spent over $100,000 commissioning artists and animators. I held a fundraiser for animators in Japan. I've given graphic tablets to artists in need. I promote young animators that I think are talented without asking for anything in return. I created an original series (Demon Rush), with 15 manga chapters and 2 animated promo episodes- all original art and animation. Spent 4 years on it, but was not recognized for doing it the true hard way. In my latest video, I hired 3 animators and paid them well for their cuts. People on X are upset that I used AI to speed up the process in the fan animation, even though in the 4 update videos leading up to it, I was completely open about how I was using it. The same people who complained about Saitama vs Cosmic Garou having too many impact frames for their liking. I don't care about these people. They complain about literally everything. I make these for fun, not to impress anyone. Even if I spent 10 years making the best episode possible, 100% hand done, these guys would still complain. I did that before with Demon Rush. In any case, this was my last animated video. I am retiring from anime and moving onto other things, so you won't have to worry about me.

Mastar

74,299 views • 1 month ago