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- Adobe Express vs Canva 🎨
Adobe Express vs Canva 🎨
Adobe plans to compete against Canva, Meta's new dexterity project, and more.
Welcome to Daily Zaps — we’re like the Panasonic of AI newsletters, we have new stories for life. 😁
Here’s what we got for you today:
🎨 Adobe Express challenges Canva
🦵 Meta’s new plan for AI human dexterity
😱 GPT-4 expected to filter harmful content all by itself
📰 New York Times vs AI saga continues
❓ Why Google AI researcher felt he needed to leave company
🔗 Other tech news
🖼 AI Generated Image of the Day
Let’s get right into it!
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Adobe Express Challenges Canva
After a successful beta phase, Adobe has introduced AI-powered features to its cloud-based design platform, Adobe Express, powered by the Firefly generative AI model. Aimed at simplifying content creation for non-professionals, Adobe Express offers quick and easy-to-use templates for tasks like designing social graphics, editing videos, and decorating PDFs. The latest version is now accessible on desktop web for free, with mobile availability coming soon.
The update includes features such as generating custom images and text effects in multiple languages, automatic background removal, and simple character animations using audio. While Adobe Express showcases notable advancements, it lags behind Canva, a competitor offering AI-driven tools since 2019. Nonetheless, Adobe's reassurance of Firefly's commercial safety due to its Adobe-owned training content may attract users to the platform.
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Meta’s New Plan For AI Human Dexterity
Meta AI collaborates with researchers from renowned universities for MyoSuite 2.0, an AI project showcasing human-like dexterity through machine learning. It offers musculoskeletal models and tasks for exploration. Lead researcher Vikash Kumar sees potential for robot developers to learn from human control techniques. MyoSuite's application within Meta's products remains uncertain. MyoSuite 1.0 hinted at lifelike avatars. MyoChallenge 2022 highlighted algorithms' adaptability struggles, prompting Meta to enhance generalization using MyoArm and MyoLegs. Associate Professor Emo Todorov praises MyoSuite's versatile control strategies. The fusion of AI and human-like skills holds innovative promise.
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GPT-4 Expected to Filter Harmful Content All By Itself
OpenAI has unveiled a content moderation system utilizing GPT-4 technology to sift through and filter out harmful content online. The aim is to ease the workload of human moderators and maintain healthy digital platforms. This system, adaptable to specific platform policies, employs GPT-4's capabilities for consistent content labeling and faster policy adaptation. Moderation rules are input into GPT-4, which is then tested with problematic content samples, and human reviewers refine its decisions, expediting policy development. While OpenAI acknowledges potential biases, they commit to transparency and community engagement in refining the system.
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New York Times vs AI Saga Continues
The New York Times is contemplating legal action against OpenAI to protect its intellectual property rights after negotiations for a licensing deal turned contentious. The dispute centers around OpenAI's use of the Times' content in its AI tools, particularly ChatGPT, which generates responses based on the newspaper's reporting. Concerns arise from the potential competition this poses to the Times and the legality of data-mining for training AI models. A lawsuit could set a precedent for copyright protection in the era of generative AI, potentially resulting in penalties and the destruction of infringing articles. The Times aims to ensure fair compensation for its content's use in AI models while guarding its intellectual property and reader relationships.
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Why Google AI Researcher Felt He Needed to Leave the Company
Llion Jones, who played a significant role at Google for nearly 12 years and was a co-author of the influential Transformers research paper that underpins modern generative artificial intelligence, has left Google along with other co-authors to establish a generative AI research lab called Sakana AI in Tokyo, in collaboration with former Google researcher David Ha. Jones, despite holding no animosity towards Google, felt that the company's size hindered his ability to engage in the type of research he desired, citing bureaucracy as a limiting factor.
The 2017 paper he contributed to at Google laid the groundwork for innovations integral to OpenAI's creation of ChatGPT. Sakana AI aims to explore alternative, nature-inspired methods for generative AI, different from the current trend of creating massive models. Jones and Ha have critiqued OpenAI for scaling up research based on work they had initiated at Google. They have expressed the intention to bring in more researchers and establish their unique approach to generative AI at Sakana AI.
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In case you’re interested — we’ve got a bunch of cool AI tools listed over at Daily Zaps AI hub. If you have any cool tools to share, feel free to submit them or get in touch with us by replying to this email.
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Other Links We Thought Were Cool 🔗
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100% A.I. Generated Image of the Day
To celebrate Discovery Day — here is a ClipDrop image what it looks like on an adventure 🛥️
ClipDrop Prompt - Picture of sailors on a boat discovering an island.
![](https://media.beehiiv.com/cdn-cgi/image/fit=scale-down,format=auto,onerror=redirect,quality=80/uploads/asset/file/27664406-0ad1-448b-967f-8323ad341821/stable-diffusion-xl__3_.jpg)
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