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🚀🚨🤖Adobe revealed the integration of four innovative generative AI features: Object Addition, Object Removal, Generative Extend, and Text Video Supporting an AI open ecosystem for third-party plugins, such as OpenAI Pika and Runway Highlighting commitment to responsible AI, focusing on ethically guided training for commercial applications. Video: Adobe Creative Cloud

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Teodora P L

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13,659 Aufrufe • vor 2 Jahren •via X (Twitter)

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Teodora P Lvor 2 Jahren

Thanks for sharing @GFMwrites 🤗

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AIBonyvor 2 Jahren

@Adobe @OpenAI @pika_labs @runwayml Great news

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拆墙者vor 2 Jahren

@Adobe @OpenAI @pika_labs @runwayml 多钱？

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As you know, my explorations of the Gen AI space is ultimately all about creative control. You should be able to shape the generative matter using all your artistic sensibilities and your aesthetic sense. OpenAI's Sora is a huge technological leap, but what excites me the most about it is the modalities where it depends on input other than text alone. Such as video to video. Here's an example of how Sora can change an input video. Base video🧵

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This is a story about the tools of creation and their impact on creators themselves and the very canvas of creation. The advent of Firefly, Adobe's AI-driven offering, reflects a broadening recognition of artificial intelligence as an integral part of the creator's toolkit. In other words, Adobe's massive ecosystem of creators needn't wade out into new waters to acquire AI capabilities -- they will simply be infused into the products they already know and (mostly) love, but more critically -- need to use every day to get creative stuff done. The Increasing Stickiness of Adobe's Tools The intersection of AI and creative tools like Photoshop's generative fill is transforming how creators perceive and interact with AI. When they encounter the innovative features of generative fill, they're not primarily thinking about the AI technology that powers it. Instead, they're marveling at the cool new tool that's now part of their beloved Photoshop. This immediate affinity for "Photoshop" masks the sophisticated technology behind it, essentially furthering Adobe's stronghold on the creative industry. Layer in Adobe's stance to training their AI models with sources like Adobe Stock that promise rock-solid data provenance, and you can see Adobe clearly wants to seem like the responsible adults in the room. After all Adobe elected not to put the Behance catalog to work, perhaps rightly so given the ethical backlash to the scraping Artstation imagery. Adobe's Thirty Something Conundrum But it's not all rainbows and sunshine. While Adobe sails ahead full steam, there's an intriguing conundrum waiting in the wings. With 30-year-old codebases forming the foundation of its most popular tools, Adobe faces a significant challenge: its software has back pain. But it's not just a technical problem -- it's also a philosophical one, akin to the ship of Theseus. Can Adobe modernize and refactor its code bases without sacrificing the essence that made these tools indispensable to creators? Can they innovate without alienating their long-time users who've grown accustomed to the 'Adobe way' of doing things? An Unexpected Solution? Interestingly, solutions might emerge from unexpected quarters. Perhaps it'll take an army of developers armed with GitHub Co-Pilot to alleviate Adobe's refactoring nightmare. By automating parts of the refactoring process, it could accelerate the evolution of Adobe's legacy tools, making them more adaptable to the rapidly progressing tech landscape while preserving their core functionality. In a twist of irony, the AI that's reshaping Adobe's offerings might just come to the rescue of its own legacy. As Adobe navigates these murky waters, opportunities are emerging for new entrants in the field. Startups might also find their moment to shine in the midst of Adobe's strategic and technological shifts. With their innovative approaches and less-encumbered platforms, they have the chance to offer alternative solutions to creators seeking novel, efficient, and intuitive tools. The Battle for Creativity The tech giant's journey through a massive transformation at a previously unfathomable speed will set the course for the next era of creative technology. Given the sheer ubiquity of Adobe tools today, it's by far the most common way creators will experience AI. But let's be honest -- this transformation will not be easy. The future of creative tech isn't written yet and as a growing line up of new entrants vie for the prize, one thing's for sure: it's going to be a darn good fight. Make Art Not War In the end, it is the creators who stand to gain the most. As Adobe and its competitors lock horns, they'll strive to deliver increasingly powerful, intuitive, and efficient tools. But, it's up to the creators themselves to harness these innovations. 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Make Art Not War: The Battle for Creativity It's Adobe's annual Max event in London today and scott belsky's spotlight on AI paints a clear picture: AI isn't just on Adobe's agenda, it is the agenda. Adobe has already scored a home run with generative fill in Photoshop, a feature now spawning entire categories of memes - including my own video, which surprisingly garnered a million views. However, Adobe's ambitions extend beyond still imagery. The Tanker Charges Towards Video At Max, Adobe's Chief Product Officer put an emphasis on AI video generation with Firefly Video. The tech tanker is charging full steam ahead to the next obvious modality for creation, leaving a wake of disruption for any upstarts bold enough to challenge it. The announcement isn't new, but it showcases the emphasis on new product development with a marked increase in the velocity we can expect from the creative tech behemoth. 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This is a story about the tools of creation and their impact on creators themselves and the very canvas of creation. The advent of Firefly, Adobe's AI-driven offering, reflects a broadening recognition of artificial intelligence as an integral part of the creator's toolkit. In other words, Adobe's massive ecosystem of creators needn't wade out into new waters to acquire AI capabilities -- they will simply be infused into the products they already know and (mostly) love, but more critically -- need to use every day to get creative stuff done. The Increasing Stickiness of Adobe's Tools The intersection of AI and creative tools like Photoshop's generative fill is transforming how creators perceive and interact with AI. When they encounter the innovative features of generative fill, they're not primarily thinking about the AI technology that powers it. Instead, they're marveling at the cool new tool that's now part of their beloved Photoshop. This immediate affinity for "Photoshop" masks the sophisticated technology behind it, essentially furthering Adobe's stronghold on the creative industry. Layer in Adobe's stance to training their AI models with sources like Adobe Stock that promise rock-solid data provenance, and you can see Adobe clearly wants to seem like the responsible adults in the room. After all Adobe elected not to put the Behance catalog to work, perhaps rightly so given the ethical backlash to the scraping Artstation imagery. Adobe's Thirty Something Conundrum But it's not all rainbows and sunshine. While Adobe sails ahead full steam, there's an intriguing conundrum waiting in the wings. With 30-year-old codebases forming the foundation of its most popular tools, Adobe faces a significant challenge: its software has back pain. But it's not just a technical problem -- it's also a philosophical one, akin to the ship of Theseus. Can Adobe modernize and refactor its code bases without sacrificing the essence that made these tools indispensable to creators? Can they innovate without alienating their long-time users who've grown accustomed to the 'Adobe way' of doing things? An Unexpected Solution? Interestingly, solutions might emerge from unexpected quarters. Perhaps it'll take an army of developers armed with GitHub Co-Pilot to alleviate Adobe's refactoring nightmare. By automating parts of the refactoring process, it could accelerate the evolution of Adobe's legacy tools, making them more adaptable to the rapidly progressing tech landscape while preserving their core functionality. In a twist of irony, the AI that's reshaping Adobe's offerings might just come to the rescue of its own legacy. As Adobe navigates these murky waters, opportunities are emerging for new entrants in the field. Startups might also find their moment to shine in the midst of Adobe's strategic and technological shifts. With their innovative approaches and less-encumbered platforms, they have the chance to offer alternative solutions to creators seeking novel, efficient, and intuitive tools. The Battle for Creativity The tech giant's journey through a massive transformation at a previously unfathomable speed will set the course for the next era of creative technology. Given the sheer ubiquity of Adobe tools today, it's by far the most common way creators will experience AI. But let's be honest -- this transformation will not be easy. The future of creative tech isn't written yet and as a growing line up of new entrants vie for the prize, one thing's for sure: it's going to be a darn good fight. Make Art Not War In the end, it is the creators who stand to gain the most. As Adobe and its competitors lock horns, they'll strive to deliver increasingly powerful, intuitive, and efficient tools. But, it's up to the creators themselves to harness these innovations. Only by embracing and mastering these new tools can they unlock their full creative potential. So what are you waiting for? Wield these new tools at your disposal and turn your imagination into reality. We are the architects of a new era of creative self expression. If you enjoyed this, drop a like and retweet. Follow Bilawal Sidhu for more writing on creative tech and AI.

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Today is a good day for open science. As part of our continued commitment to the growth and development of an open ecosystem, today at Meta FAIR we’re announcing four new publicly available AI models and additional research artifacts to inspire innovation in the community and help advance AI in a responsible way. More in the video from Joelle Pineau. What we’re releasing: 🦎 Meta Chameleon 7B & 34B language models that support mixed-modal input and text-only outputs. 🪙 Meta Multi-Token Prediction Pretrained Language Models for code completion using Multi-Token Prediction. 🎼 Meta JASCO Generative text-to-music models capable of accepting various conditioning inputs for greater controllability. Paper available today with a pretrained model coming soon. 🗣️ Meta AudioSeal An audio watermarking model that we believe is the first designed specifically for the localized detection of AI-generated speech, available under a commercial license. 📝 Additional RAI artifacts Including research, data and code to measure and improve the representation of geographical and cultural preferences and diversity in AI systems. We believe that access to state-of-the-art AI creates opportunities for everyone – not just a small handful of Big Tech companies. We’re excited to share this work and to see how the community learns, iterates and builds using this technology. Details and access to everything released by FAIR today ➡️

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380,962 Aufrufe • vor 2 Jahren

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We are excited to unveil 𝗦𝗸𝘆𝗡𝗲𝘁 𝗔𝗜 𝗠𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲, an open platform that enables various leading AI apps and platforms on the market to integrate into the SkyNet AI Compute Layer. This means accelerated growth for Phoenix’s AI App Ecosystem by deploying unique AI capabilities and features of each partner into SkyNet. The Phoenix AI Ecosystem and SkyNet users will now be able to access various AI features and products provided by AI Marketplace partners via SkyNet, on top of the existing suite of technology provided by SkyNet, GenAI, PhoenixLLM and AlphaNet. The first partner to be integrated with SkyNet AI Marketplace and deployed on SkyNet is 𝗹𝗲𝗮𝗱𝗶𝗻𝗴 𝗔𝗜-𝘁𝗼-𝟯𝗗 𝗽𝗿𝗼𝘃𝗶𝗱𝗲𝗿 𝗧𝗿𝗶𝗽𝗼. This integration enables Phoenix AI Ecosystem, SkyNet, and Phoenix GenAI users to create 3D models from text prompts or 2D images. These 3D models are then able to be inserted into Unreal Engine 5 game environments, 3D animations, or 3D content assets such as NFTs. This partnership, first of its kind, 𝗲𝗻𝗮𝗯𝗹𝗲𝘀 𝗣𝗵𝗼𝗲𝗻𝗶𝘅 𝗔𝗜 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺 𝘁𝗼 𝗽𝗿𝗼𝘃𝗶𝗱𝗲 𝘃𝗮𝗹𝘂𝗮𝗯𝗹𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 for verticals such as Web 3 gaming, animation rendering, content & NFT, and metaverse. For more information regarding this particular partner, visit: More details and release information to follow. $PHB

Phoenix AI Labs

38,154 Aufrufe • vor 2 Jahren

Excited to share a new product (and a new category for Adobe): Mood-boarding and concepting in the age of AI with Project Concept. Project Concept is an AI-first product for the early stages of every creative journey - designed for an era where we will spend LESS time on the mundane and repetitive parts of production, and MORE time exploring the full surface area of possibility and finding better ideas. It features the very latest capabilities from Adobe’s Firefly Generative AI models to help you rapidly explore potential artistic directions, mix images together, transform regions of an asset, and remix styles, backgrounds, and other ingredient assets. You can start a project using your own assets or other sources of inspiration. Project Concept then uses AI and collaborative tools to assist with both divergent thinking, illuminating the far-reaching possibilities of any creative project, and convergent thinking to bring ideas together, apply controls, and ultimately select the final direction to go with. Excited about this one. Project Concept goes into Private Beta today, now back to work… #AdobeMAX
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Excited to share a new product (and a new category for Adobe): Mood-boarding and concepting in the age of AI with Project Concept. Project Concept is an AI-first product for the early stages of every creative journey - designed for an era where we will spend LESS time on the mundane and repetitive parts of production, and MORE time exploring the full surface area of possibility and finding better ideas. It features the very latest capabilities from Adobe’s Firefly Generative AI models to help you rapidly explore potential artistic directions, mix images together, transform regions of an asset, and remix styles, backgrounds, and other ingredient assets. You can start a project using your own assets or other sources of inspiration. Project Concept then uses AI and collaborative tools to assist with both divergent thinking, illuminating the far-reaching possibilities of any creative project, and convergent thinking to bring ideas together, apply controls, and ultimately select the final direction to go with. Excited about this one. Project Concept goes into Private Beta today, now back to work… #AdobeMAX

scott belsky

106,872 Aufrufe • vor 1 Jahr

🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️
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🤝 Alphabet and NVIDIA are expanding their decade-long partnership to advance agentic AI, robotics, drug discovery, and more. This involves deep co-engineering with integrated platforms, open-source frameworks, and managed services. ✅ Google Cloud is one of the first to bring the NVIDIA Blackwell platform to the cloud. ✅ Google Distributed Cloud using NVIDIA Confidential Computing on #NVIDIABlackwell for enterprises to run Google Gemini on-premises. ✅ Integration of the NVIDIA AI platform across Vertex AI, Cluster Director and Google Kubernetes Engine. ✅ Bringing the NVIDIA Nemotron family of open models to Vertex AI Model Garden. Watch the full video to learn more ➡️

NVIDIA AI Infrastructure

268,567 Aufrufe • vor 7 Monaten

Meta Movie Gen is on the scene! Our breakthrough generative AI research for media enables: -turning text into video -creation of personalized video -precision video editing -audio creation And while it’s just research today, we can’t wait to see all the ways people enhance their creativity in the future. Stay tuned for more info on Meta Movie Gen’s release.
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Meta Movie Gen is on the scene! Our breakthrough generative AI research for media enables: -turning text into video -creation of personalized video -precision video editing -audio creation And while it’s just research today, we can’t wait to see all the ways people enhance their creativity in the future. Stay tuned for more info on Meta Movie Gen’s release.

Meta

148,524 Aufrufe • vor 1 Jahr

most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity
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most AI APIs either cost too much or lock the best models behind expensive plans. then i came across Agnes AI. it’s one of the few platforms giving developers access to text, image, and video AI models through a single API. their ecosystem gives you direct access to top-tier models like - Agnes-2.0-Flash for text - Agnes-Image-2.0 for image - Agnes-Video-V2.0 for video Instead of managing different providers for different tasks, everything works from one place. what stood out to me: > one API for text, image, and video generation > OpenAI-compatible API, so integration is straightforward > built for speed and scalability > free access for developers to start building > useful for everything from chatbots to image generation and content automation if you’re building AI products, it’s worth taking a look while it’s still flying under the radar. sometimes the biggest advantage is finding great tools before everyone else does. check out Agnes AI here, get free access for developers : and if you’re building with it, join the developer community here: Agnes AI #AgnesAI #AgnesAPI #BuildWithAgnes #MultimodalAI #AIforDevs #DeveloperAPI #AIParity

MIKE

14,591 Aufrufe • vor 1 Monat