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How does Phoenix GenAI running on decentralized AI elastic compute stack up against mainstream Web2 AI platforms? Below is a side-by-side comparison between Kling AI image-to-video vs Phoenix GenAI Img2Motion V2 Beta. Average output time puts Phoenix GenAI Img2Motion V2 Beta at 7-10 min running on SkyNet’s High Performance...

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Phoenix AI Labs

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24,127 просмотров • 1 год назад •via X (Twitter)

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Фото профиля 🌠 Boss BEST 🎋 🚀
🌠 Boss BEST 🎋 🚀1 год назад

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Фото профиля Serkan Batur💱🪽
Serkan Batur💱🪽1 год назад

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Фото профиля maybe future
maybe future1 год назад

70 $phb 💚🔥

Фото профиля Mustafa Acar
Mustafa Acar1 год назад

Sizden bi sikim olmaz

Фото профиля El Gran Machista
El Gran Machista1 год назад

$12-$15 #phb. Fundamentally you're ready!

Фото профиля peak
peak1 год назад

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Фото профиля Murat Kiremit
Murat Kiremit1 год назад

1 ileri 2 geri 2 doları bi geçemedi böyle giderse vedalaşacam phb ile hiç projesi olmayan coinler nerdeyse 5x yaptı

Фото профиля NARUTO- Unknown
NARUTO- Unknown1 год назад

$PHB make the best AI image - to - video

Фото профиля The King
The King1 год назад

Soon 10$ phb 🚀🚀🚀

Фото профиля lia
lia1 год назад

Consider also @xnetworkAI’s decentralized AI platform- it’s a vision for the future of innovation. It combines #AI and #Blockchain to empower users, businesses, and developers to harness the true potential of decentralized intelligence in a secure and scalable way. #DonBelle

Похожие видео

Phoenix GenAI’s Img2Motion V2 Beta is now available – this significant upgrade showcases the latest generation of image-to-video AI technology built off of base image generation model FLUX, often dubbed as “Midjourney Killer”, which is also available on Phoenix GenAI. This latest release also utilizes SkyNet’s high performance node cluster, which consists of a combination of Nvidia A100 and H100 GPUs – a testament to SkyNet’s versatility of matching AI tasks with suitable compute resources. $PHB #AI
0:39

Phoenix GenAI’s Img2Motion V2 Beta is now available – this significant upgrade showcases the latest generation of image-to-video AI technology built off of base image generation model FLUX, often dubbed as “Midjourney Killer”, which is also available on Phoenix GenAI. This latest release also utilizes SkyNet’s high performance node cluster, which consists of a combination of Nvidia A100 and H100 GPUs – a testament to SkyNet’s versatility of matching AI tasks with suitable compute resources. $PHB #AI

Phoenix AI Labs

32,308 просмотров • 1 год назад

Introducing Phoenix Deep Research, a vertical AI agent for in-depth, multi-step research and real-time knowledge. Phoenix Deep Research is blazingly fast with average response output time of 30 to 90 seconds, much faster than industry averages and is built on top of an accelerated Deepseek R1 utilizing SkyNet High Performance Cluster consisting of the newest Huawei Ascend and Nvidia A100, and A10 GPUs. Phoenix DR combines the most cutting-edge open source LLM, industry-specific agentic workflows, real-time AI search, and novel decentralized compute infrastructure into a differentiated and versatile tool previously unseen in the decentralized AI space. Phoenix DR will be open for Beta whitelist and testing early next week for community users and partners. Stay tuned. #Phoenix $PHB #DeepResearch
1:42

Introducing Phoenix Deep Research, a vertical AI agent for in-depth, multi-step research and real-time knowledge. Phoenix Deep Research is blazingly fast with average response output time of 30 to 90 seconds, much faster than industry averages and is built on top of an accelerated Deepseek R1 utilizing SkyNet High Performance Cluster consisting of the newest Huawei Ascend and Nvidia A100, and A10 GPUs. Phoenix DR combines the most cutting-edge open source LLM, industry-specific agentic workflows, real-time AI search, and novel decentralized compute infrastructure into a differentiated and versatile tool previously unseen in the decentralized AI space. Phoenix DR will be open for Beta whitelist and testing early next week for community users and partners. Stay tuned. #Phoenix $PHB #DeepResearch

Phoenix AI Labs

21,296 просмотров • 1 год назад

Phoenix GenAI’s new generative AI model Image-to-3D is now online. Create high fidelity 3D models importable to Unreal Engine 5 or Unity simply by sending an original image into PhoenixLLM. Better yet, generate the source image using Phoenix GenAI’s Flux and feed it into Image-to-3D. This release marks yet another upgrade of GenAI’s arsenal of capabilities, getting it ready for multi-workflow GenAI agents, in which users will be able to combine text-to-image, image-to-prompt, text-to-video, text-to-3D, and image-to-3D into complex multi-step workflows with simple commands via PhoenixLLM. Image-to-3D is yet another addition to Phoenix’s Vertical AI Solutions for gaming, content, and metaverse. Users are able to use it as a Phoenix-native alternative to SkyNet AI Marketplace’s Tripo Integration earlier this year. #Phoenix $PHB
1:37

Phoenix GenAI’s new generative AI model Image-to-3D is now online. Create high fidelity 3D models importable to Unreal Engine 5 or Unity simply by sending an original image into PhoenixLLM. Better yet, generate the source image using Phoenix GenAI’s Flux and feed it into Image-to-3D. This release marks yet another upgrade of GenAI’s arsenal of capabilities, getting it ready for multi-workflow GenAI agents, in which users will be able to combine text-to-image, image-to-prompt, text-to-video, text-to-3D, and image-to-3D into complex multi-step workflows with simple commands via PhoenixLLM. Image-to-3D is yet another addition to Phoenix’s Vertical AI Solutions for gaming, content, and metaverse. Users are able to use it as a Phoenix-native alternative to SkyNet AI Marketplace’s Tripo Integration earlier this year. #Phoenix $PHB

Phoenix AI

30,853 просмотров • 1 год назад

We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software, hardware, and computing power in our data centers used to train, build, and deploy AI models and applications. The “middle layer” is the GenAI sandbox – all the tools, Large Language Models (LLMs), and Foundation Models (FMs) we’ve built into Amazon Bedrock. This lets customers pick the #AI models that best fit their needs to easily and securely customize GenAI applications specific to their business. The “top layer” means the popular agents and assistants that people actually interact with – now including Amazon Q. These are built from the models in the middle layer – in Amazon Bedrock. While other apps might help you write a quick email, or edit an image, Amazon Q’s meant for taking care of business. It’s been engineered to be the most capable GenAI-powered assistant for speeding up software dev and leveraging companies’ internal data. Are you as bullish on the future of GenAI as we are? Listen to our CEO Andy Jassy talk about our investment across the stack.
1:19

We think #GenAI will transform virtually every customer experience. That’s why we’re doubling down on all three layers of what’s called the GenAI “stack.” What do we mean by stack? Simple. Three layers, bottom to top. The “bottom layer” means the infrastructure. Think chips, servers, networking – the software, hardware, and computing power in our data centers used to train, build, and deploy AI models and applications. The “middle layer” is the GenAI sandbox – all the tools, Large Language Models (LLMs), and Foundation Models (FMs) we’ve built into Amazon Bedrock. This lets customers pick the #AI models that best fit their needs to easily and securely customize GenAI applications specific to their business. The “top layer” means the popular agents and assistants that people actually interact with – now including Amazon Q. These are built from the models in the middle layer – in Amazon Bedrock. While other apps might help you write a quick email, or edit an image, Amazon Q’s meant for taking care of business. It’s been engineered to be the most capable GenAI-powered assistant for speeding up software dev and leveraging companies’ internal data. Are you as bullish on the future of GenAI as we are? Listen to our CEO Andy Jassy talk about our investment across the stack.

Amazon

47,421 просмотров • 2 лет назад

So Kling AI 3.0 now supports multi-shot sequences, so I was excited to test it head-to-head against Flow by Google VEO 3.1, which is known for having some of the best video lip-sync out there. Verdict 🏆: This might not even be a totally fair comparison since Kling can generate up to 15s clips while VEO tops out at 8s. That said, Kling feels like it’s capturing more emotional performance and nuance, with more natural overall mouth movement. VEO still seems stronger on strict lip-sync accuracy, while Kling characters can look like they’re slightly mumbling at times. Overall, it feels like Kling is pushing performance forward, which is a huge leap. I definitely want to run more side-by-side tests.
1:09

So Kling AI 3.0 now supports multi-shot sequences, so I was excited to test it head-to-head against Flow by Google VEO 3.1, which is known for having some of the best video lip-sync out there. Verdict 🏆: This might not even be a totally fair comparison since Kling can generate up to 15s clips while VEO tops out at 8s. That said, Kling feels like it’s capturing more emotional performance and nuance, with more natural overall mouth movement. VEO still seems stronger on strict lip-sync accuracy, while Kling characters can look like they’re slightly mumbling at times. Overall, it feels like Kling is pushing performance forward, which is a huge leap. I definitely want to run more side-by-side tests.

Curious Refuge

17,672 просмотров • 5 месяцев назад

Today, we're announcing the next evolution of Sword Thrive: a fully revamped experience anchored by a new conversational care model, Vision AI, and a more powerful Phoenix. At the center of this evolution is a first-of-its-kind care model: a 3-way chat connecting the member, Phoenix, and their Doctor of Physical Therapy in a single interface, making continuous, 24/7 care possible for the first time, with the clinical oversight only a human specialist can provide. Vision AI, our proprietary technology trained on years of movement data, now delivers precise movement detection in real-world home environments - cluttered, noisy, and everything in between - and runs entirely through the Sword Health app on smartphones and tablets. Phoenix, our AI Care Specialist, is now more capable as well, providing deeper, personalized two-way conversational guidance and real-time form correction, adapting to each member as they move. From proactive care to continuous recovery, this is how healthcare should show up: with reliability, clinical memory, and real-time support that never drops the thread. Watch the video to see it in action:
3:06

Today, we're announcing the next evolution of Sword Thrive: a fully revamped experience anchored by a new conversational care model, Vision AI, and a more powerful Phoenix. At the center of this evolution is a first-of-its-kind care model: a 3-way chat connecting the member, Phoenix, and their Doctor of Physical Therapy in a single interface, making continuous, 24/7 care possible for the first time, with the clinical oversight only a human specialist can provide. Vision AI, our proprietary technology trained on years of movement data, now delivers precise movement detection in real-world home environments - cluttered, noisy, and everything in between - and runs entirely through the Sword Health app on smartphones and tablets. Phoenix, our AI Care Specialist, is now more capable as well, providing deeper, personalized two-way conversational guidance and real-time form correction, adapting to each member as they move. From proactive care to continuous recovery, this is how healthcare should show up: with reliability, clinical memory, and real-time support that never drops the thread. Watch the video to see it in action:

Sword Health

27,974 просмотров • 5 месяцев назад

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:
2:18

Finally got our hands on Seedance 2.0 (through YouArt) and ran it head-to-head with Kling AI 3.0. Here’s what stood out: Seedance 2.0’s physics feel stronger right away. The movement just looks more natural and realistic, especially in bigger physical actions. It also handles continuity across multiple shots from a single prompt better than I expected, which makes scene building a lot easier. And on the audio side, the lip sync generally holds up better than Kling. But here’s the tradeoff: Both models struggle with fine details. Background faces and smaller elements still get a bit messy. Seedance currently outputs at 720p, while Kling 3.0 supports 1080p, so Kling has the edge in overall sharpness. Even with upscaling, Seedance doesn’t fully recover those tiny details. Verdict🏆: Seedance 2.0 is a real step forward, especially for motion realism, but it’s definitely not the “end of Hollywood.” Check out our latest tutorial where we show you how to get access to this new model and take a deep look at the quality of this new AI Video Generator:

Curious Refuge

58,989 просмотров • 5 месяцев назад

Mini AI video models usually come with an obvious tradeoff. You get faster generation and lower cost, but the output often starts to look compromised: weaker motion, softer details, flatter lighting, and less cinematic control. So we tested Dreamina Seedance 2.0 mini side by side against Dreamina Seedance 2.0 to see how much of that tradeoff actually shows up in the final render. Officially launched by ByteDance's official product Dreamina: Dreamina Seedance 2.0 mini! Delivers on-par performance with Dreamina Seedance 2.0, but at a lower cost and faster speed.
0:29

Mini AI video models usually come with an obvious tradeoff. You get faster generation and lower cost, but the output often starts to look compromised: weaker motion, softer details, flatter lighting, and less cinematic control. So we tested Dreamina Seedance 2.0 mini side by side against Dreamina Seedance 2.0 to see how much of that tradeoff actually shows up in the final render. Officially launched by ByteDance's official product Dreamina: Dreamina Seedance 2.0 mini! Delivers on-par performance with Dreamina Seedance 2.0, but at a lower cost and faster speed.

GitHub Projects Community

26,029 просмотров • 1 месяц назад

Excited to announce I have officially begun production on the first pilot installment of my AI Sci-Fi mini-film series based on my trailer “RE-IN” that I premiered a few months back. With where the tools are at it seemed like it was time to get the ball rolling. We are moving from “concept” to “content” extremely fast and I believe we are almost at the edge. Here is the announcement teaser for my AI series. The plan is to start with the first part of the story and see how it is received. I will be releasing them first exclusively on @theescapeai and my YouTube with some behind the scenes content as well. Stay tuned. #Rein #aifilm #GenAI #aiart #generativeAI #scifi #filmmaking
0:45

Excited to announce I have officially begun production on the first pilot installment of my AI Sci-Fi mini-film series based on my trailer “RE-IN” that I premiered a few months back. With where the tools are at it seemed like it was time to get the ball rolling. We are moving from “concept” to “content” extremely fast and I believe we are almost at the edge. Here is the announcement teaser for my AI series. The plan is to start with the first part of the story and see how it is received. I will be releasing them first exclusively on @theescapeai and my YouTube with some behind the scenes content as well. Stay tuned. #Rein #aifilm #GenAI #aiart #generativeAI #scifi #filmmaking

Dave Clark

41,899 просмотров • 2 лет назад

2026 = The end of upscaling? One of generative AI's biggest drawbacks was the resolution, and I'm not talking about the output resolution as 1080p would be enough for most of the projects. I'm talking about the "internal" resolution of how these models work, that makes small faces distorted in your generations, the ones that will make a wide-shot impossible because the small details will morph and of course with some models text rendering is not possible. Upscaling with AI was always a strange case, local upscalers sometimes lacked the quality compared to the closed source competitors, but those can be pretty pricey and the results are sometimes way too "creative". So I was very, very interested when Kling AI announced native, not upscaled 4K generation but wanted to have a good method test it. Again, I never missed the 4K output resolution with genAI, but I missed the nuanced detail rendering of the engines and the lack of that made it impossible to create for example very wide shots with tiny details. So I fired up some image models to generate stills inspired by Morocco and see how Kling behaves, now in 4K. Some notable moments: 00:22 - Skin and eye texture, the movements, the little coins in the headdress 01:18 - The reflection in the water 01:39 - The reflection in the eye, and the scarf textures 02:10 - Check all the details on the rails 02:20 - Water particles and leaves 02:29 - The rendering of the rusty parts of the rail 02:50 - How the waves change the reflection in the foreground 02:55 - The cloud movement in the background
3:19

2026 = The end of upscaling? One of generative AI's biggest drawbacks was the resolution, and I'm not talking about the output resolution as 1080p would be enough for most of the projects. I'm talking about the "internal" resolution of how these models work, that makes small faces distorted in your generations, the ones that will make a wide-shot impossible because the small details will morph and of course with some models text rendering is not possible. Upscaling with AI was always a strange case, local upscalers sometimes lacked the quality compared to the closed source competitors, but those can be pretty pricey and the results are sometimes way too "creative". So I was very, very interested when Kling AI announced native, not upscaled 4K generation but wanted to have a good method test it. Again, I never missed the 4K output resolution with genAI, but I missed the nuanced detail rendering of the engines and the lack of that made it impossible to create for example very wide shots with tiny details. So I fired up some image models to generate stills inspired by Morocco and see how Kling behaves, now in 4K. Some notable moments: 00:22 - Skin and eye texture, the movements, the little coins in the headdress 01:18 - The reflection in the water 01:39 - The reflection in the eye, and the scarf textures 02:10 - Check all the details on the rails 02:20 - Water particles and leaves 02:29 - The rendering of the rusty parts of the rail 02:50 - How the waves change the reflection in the foreground 02:55 - The cloud movement in the background

László Gaál

17,514 просмотров • 2 месяцев назад

Sharing some work in progress on my latest AI short. Here is a rough cut of a dialogue scene where I use Kling 2.6 motion control to capture and transfer my performance to the AI generated characters of both Terry and Carol. No sound design, Carol's voice is just mine pitched up 😝 and I am clearly not a trained actor but I think this gives you a good idea of where we are in terms being able to capture performance and create engaging dialogue scenes with AI tools. I'd usually post the video with an inset of me performing but I did this late last night in my Rick and Morty Oodie with hair like a crazy money, ain't nobody need to see that!
0:33

Sharing some work in progress on my latest AI short. Here is a rough cut of a dialogue scene where I use Kling 2.6 motion control to capture and transfer my performance to the AI generated characters of both Terry and Carol. No sound design, Carol's voice is just mine pitched up 😝 and I am clearly not a trained actor but I think this gives you a good idea of where we are in terms being able to capture performance and create engaging dialogue scenes with AI tools. I'd usually post the video with an inset of me performing but I did this late last night in my Rick and Morty Oodie with hair like a crazy money, ain't nobody need to see that!

Uncanny Harry AI

65,050 просмотров • 6 месяцев назад

Hey everyone, today I want to introduce a project that’s aiming to redefine how we access compute for AI — it’s called GPUAI. 🔶 GPUAI: Unlocking Global GPU Power for the AI Era GPUAI isn’t just another GPU marketplace or leasing service. It’s a fully decentralized protocol that connects idle GPU resources around the world — from gaming PCs to data center clusters — and transforms them into a high-performance compute network for AI workloads. 🧠 Why does it matter? Right now, the biggest bottleneck in AI isn’t algorithms — it’s access to compute. Training and running models requires massive GPU power, but it’s locked up in centralized cloud platforms, expensive and hard to access for smaller teams. With GPUAI, anyone can tap into a global GPU pool that’s: ✅ Fully decentralized ✅ Reputation-based and smart contract coordinated ✅ Encrypted and secure ✅ Token-incentivized — meaning contributors get rewarded in $GPUAI 📈 For developers, it’s a flexible way to access GPU compute for training, inference, and more — without cloud lock-in. 💰 For GPU owners, it’s a chance to monetize idle hardware that would otherwise go unused. The protocol is live, the apps are active, and the ecosystem is growing fast. 🌐 Try it yourself at 📖 Learn more on 🎮 Play our community games at This is real infrastructure for the future of AI, not hype. Follow them and explore their mission of decentralized computing at Tell me what you think - if you have a GPU, you can start profiting now. #GPUAI #Web3Infrastructure #AIComputing #DePIN #Decentralization
1:25

Hey everyone, today I want to introduce a project that’s aiming to redefine how we access compute for AI — it’s called GPUAI. 🔶 GPUAI: Unlocking Global GPU Power for the AI Era GPUAI isn’t just another GPU marketplace or leasing service. It’s a fully decentralized protocol that connects idle GPU resources around the world — from gaming PCs to data center clusters — and transforms them into a high-performance compute network for AI workloads. 🧠 Why does it matter? Right now, the biggest bottleneck in AI isn’t algorithms — it’s access to compute. Training and running models requires massive GPU power, but it’s locked up in centralized cloud platforms, expensive and hard to access for smaller teams. With GPUAI, anyone can tap into a global GPU pool that’s: ✅ Fully decentralized ✅ Reputation-based and smart contract coordinated ✅ Encrypted and secure ✅ Token-incentivized — meaning contributors get rewarded in $GPUAI 📈 For developers, it’s a flexible way to access GPU compute for training, inference, and more — without cloud lock-in. 💰 For GPU owners, it’s a chance to monetize idle hardware that would otherwise go unused. The protocol is live, the apps are active, and the ecosystem is growing fast. 🌐 Try it yourself at 📖 Learn more on 🎮 Play our community games at This is real infrastructure for the future of AI, not hype. Follow them and explore their mission of decentralized computing at Tell me what you think - if you have a GPU, you can start profiting now. #GPUAI #Web3Infrastructure #AIComputing #DePIN #Decentralization

The Crypto GEMs

69,984 просмотров • 1 год назад

PhoenixONE, the next-gen AI agents platform for Web 3 intelligence, is now here in Beta. Today’s launch includes: 1) Phoenix Crypto Research – proprietary AI deep research agent optimized for the crypto market. Obtain in-depth research of projects, investment analysis, technology, specific events, and macro environment in real-time. 2) Phoenix Deep Research - agent for in-depth, multi-step, knowledge-intensive research across various topics, including trading & markets, academic research, journalism, coding, travel & shopping planning, technology, and more. 3) AlphaNet QuickQuery - crypto research assistant that can quickly retrieve information regarding tokens, including prices, supply, market caps, orderbook, holders, on-chain data, DEXs/liquidity pools, and more. 4) Newest foundational base models Deepseek R1 (671B) and Alibaba Qwen 2.5 Access and test PhoenixONE here: In the following week, we have invited various ecosystem partners, KOLs, and platform partners to test drive PhoenixONE – expect new features to be added and performance optimizations to be conducted on a weekly basis. #DeepResearch #AIAgents #PhoenixAI $PHB
1:51

PhoenixONE, the next-gen AI agents platform for Web 3 intelligence, is now here in Beta. Today’s launch includes: 1) Phoenix Crypto Research – proprietary AI deep research agent optimized for the crypto market. Obtain in-depth research of projects, investment analysis, technology, specific events, and macro environment in real-time. 2) Phoenix Deep Research - agent for in-depth, multi-step, knowledge-intensive research across various topics, including trading & markets, academic research, journalism, coding, travel & shopping planning, technology, and more. 3) AlphaNet QuickQuery - crypto research assistant that can quickly retrieve information regarding tokens, including prices, supply, market caps, orderbook, holders, on-chain data, DEXs/liquidity pools, and more. 4) Newest foundational base models Deepseek R1 (671B) and Alibaba Qwen 2.5 Access and test PhoenixONE here: In the following week, we have invited various ecosystem partners, KOLs, and platform partners to test drive PhoenixONE – expect new features to be added and performance optimizations to be conducted on a weekly basis. #DeepResearch #AIAgents #PhoenixAI $PHB

Phoenix AI Labs

33,302 просмотров • 1 год назад

"Russian soldiers only live an average of 20 to 30 minutes on the battlefield because of Ukraine’s AI drones." - CIA Director John Ratcliffe "Our intelligence is consistent with some of the open-source reporting you may have seen in Ukraine: the average life expectancy of a Russian recruit right now, arriving on the battlefield in Ukraine, is estimated to be between 20 and 30 minutes. And that's because AI-powered drones have gotten to be such specialised, low-cost killing machines. So it's why an inferior force, 4 and a half years later, has held off the superior force of Russia against Ukraine. The pace of their advance has stopped as Ukraine's mastery of emerging technologies, and in this case, drone warfare, asymmetric warfare, is such a great equalizer," the Central Intelligence Agency chief said at the Pennsylvania Defense and Innovation Summit.
1:00

"Russian soldiers only live an average of 20 to 30 minutes on the battlefield because of Ukraine’s AI drones." - CIA Director John Ratcliffe "Our intelligence is consistent with some of the open-source reporting you may have seen in Ukraine: the average life expectancy of a Russian recruit right now, arriving on the battlefield in Ukraine, is estimated to be between 20 and 30 minutes. And that's because AI-powered drones have gotten to be such specialised, low-cost killing machines. So it's why an inferior force, 4 and a half years later, has held off the superior force of Russia against Ukraine. The pace of their advance has stopped as Ukraine's mastery of emerging technologies, and in this case, drone warfare, asymmetric warfare, is such a great equalizer," the Central Intelligence Agency chief said at the Pennsylvania Defense and Innovation Summit.

Anton Gerashchenko

129,785 просмотров • 12 дней назад

Two weeks ago, we blew up on Twitter and sparked a debate in Bollywood, after voicing how reaching to Sam Altman is easier than Karan Johar. A side of the internet cheered for us 20-somethings organizing the AI Film Festival. On the other side, Vir Das made a video about us. A popular film critic Sucharita critiqued us. But we have always been convicted that the work of a critic is easy. The bitter truth critics must face is in the grand scheme of things, an average piece of junk is probably more meaningful than the criticism designating itself. The world is often unkind to new talent, new creations, and, the new needs friends. We at localhost HQ and Invideo are providing a space for these new underdogs of AI filmmakers to show the world how far AI filmmaking has reached. And how most of the world is completely oblivious of its advancements. We are here to show the world AI video is here to sure, take some production jobs, but simultaneously, allow any one to dream and create videos, like never before, without $100M budgets. Whether you agree with us or not, if you have an open mind full of curiosity, consider coming to the Screening of the AI x Filmmaking Festival, on November 2nd, 6PM at Royal Opera House, Mumbai. People who have made AI films in 7 days, will have their work screened here amongst other parts of the agenda, which includes a panel with a Bollywood director, actor and influential people in the industry. Also expect a red-carpet, robots walking around, a jazz-band and more. We are already running a waitlist, but are prioritizing people in Bollywood, academics and professors, government officials, world changemakers, and soaring technologists. Consider coming, and best case, try to get a warm intro to us.
2:12

Two weeks ago, we blew up on Twitter and sparked a debate in Bollywood, after voicing how reaching to Sam Altman is easier than Karan Johar. A side of the internet cheered for us 20-somethings organizing the AI Film Festival. On the other side, Vir Das made a video about us. A popular film critic Sucharita critiqued us. But we have always been convicted that the work of a critic is easy. The bitter truth critics must face is in the grand scheme of things, an average piece of junk is probably more meaningful than the criticism designating itself. The world is often unkind to new talent, new creations, and, the new needs friends. We at localhost HQ and Invideo are providing a space for these new underdogs of AI filmmakers to show the world how far AI filmmaking has reached. And how most of the world is completely oblivious of its advancements. We are here to show the world AI video is here to sure, take some production jobs, but simultaneously, allow any one to dream and create videos, like never before, without $100M budgets. Whether you agree with us or not, if you have an open mind full of curiosity, consider coming to the Screening of the AI x Filmmaking Festival, on November 2nd, 6PM at Royal Opera House, Mumbai. People who have made AI films in 7 days, will have their work screened here amongst other parts of the agenda, which includes a panel with a Bollywood director, actor and influential people in the industry. Also expect a red-carpet, robots walking around, a jazz-band and more. We are already running a waitlist, but are prioritizing people in Bollywood, academics and professors, government officials, world changemakers, and soaring technologists. Consider coming, and best case, try to get a warm intro to us.

Hardeep

19,668 просмотров • 9 месяцев назад

I’m not even sure I can wrap my brain around this… you? 🚨 Elon Musk Predicts Operating systems and phone apps will be going away in 5-6 years “Essentially you will have AI on the server side communicating to an AI on your device and generating real time video of anything you can possibly want. There won’t be operating systems, there won’t be apps in the just be, you’ve got a device that is just there with a screen and audio and to put as much AI onto the device as possible to minimize the amount of bandwidth between your device and the servers.” Rogan asked if X and other platforms exist, and Elon Musk says “you’ll get everything through AI.” So… how do you get on social media platforms? Clip Full Interview
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I’m not even sure I can wrap my brain around this… you? 🚨 Elon Musk Predicts Operating systems and phone apps will be going away in 5-6 years “Essentially you will have AI on the server side communicating to an AI on your device and generating real time video of anything you can possibly want. There won’t be operating systems, there won’t be apps in the just be, you’ve got a device that is just there with a screen and audio and to put as much AI onto the device as possible to minimize the amount of bandwidth between your device and the servers.” Rogan asked if X and other platforms exist, and Elon Musk says “you’ll get everything through AI.” So… how do you get on social media platforms? Clip Full Interview

MJTruthUltra

414,963 просмотров • 9 месяцев назад