#051 - DALL-E 3: The Most Powerful AI Image Generator Ever, LinkedIn Launches New AI Features, MetaAI: A New Virtual Assistant Powered By Your Facebook and Instagram Posts
Fresh & Hot curated AI happenings in one snack. Never miss a byte 🍔
This snack byte will take approx 6 minutes to consume.
AI BYTE # 1 📢 : Why You Should Try Out DALL-E 3, the Latest AI Image Generator from OpenAI
⭐ If you are a fan of AI art and creativity, you might have heard of DALL-E, the generative AI image generator from OpenAI.
DALL-E can create realistic and imaginative images from text prompts, such as “a cat wearing a hat” or “a painting of a landscape in the style of Van Gogh”.
But did you know that OpenAI has recently released a new version of DALL-E, called DALL-E 3, that is even more impressive and capable than its predecessor?
DALL-E 3 is a major upgrade to DALL-E 2, which was already a remarkable tool. DALL-E 3 can generate extremely detailed and accurate images from nuanced text requests, such as “a portrait of Albert Einstein wearing a tuxedo and holding a violin” or “a logo for a company called Emerge that uses AI to create content”.
DALL-E 3 can also render readable text within images, such as “a book cover with the title ‘The Art of AI’ and the author ‘Ryan Ozawa’” or “a billboard with the slogan ‘Bing: The Search Engine for Web3’”.
This feature was not possible with DALL-E 2, which produced random gibberish instead of text.
DALL-E 3 can even depict historical figures and famous celebrities, such as “a selfie of Abraham Lincoln and Barack Obama” or “a photo of Taylor Swift and Kanye West hugging”. This is another improvement over DALL-E 2, which struggled to recognize faces and names.
DALL-E 3 is powered by OpenAI’s new Tensor G3 chips, which leverage AI to boost performance. These chips are also used in the new Pixel 8 and 8 Pro smartphones from Google, which feature an AI-enhanced digital assistant called Assistant with Bard.
DALL-E 3 was officially announced on Sept. 20, but it was not available to the public until recently.
Now, you can access DALL-E 3 through Microsoft’s Bing Image Creator tool, which is part of its browser-based AI suite. You can use Bing Image Creator to experiment with different text prompts and see what images DALL-E 3 generates for you.
DALL-E 3 is not only a fun and fascinating tool, but also a powerful and practical one. You can use it to create stunning visuals for your projects, presentations, websites, social media posts, and more. You can also use it to explore your creativity and imagination, and discover new ideas and perspectives.
If you are interested in AI art and image generation, I highly recommend you to try out DALL-E 3. It is easily the best AI image generator ever, and it will blow your mind with its amazing capabilities.
Let me know what you think of DALL-E 3 in the comments below.
What are some of the coolest images you have created with it? What are some of the challenges or limitations you have faced with it? How do you think it compares to other image generators like Midjourney and Stable Diffusion?
I hope you enjoyed this post and learned something new about DALL-E 3. If you did, please share it with your network and subscribe to my newsletter for more posts on AI art and creativity. Thank you for reading!
AI BYTE # 2 📢 : LinkedIn Launches New AI Features: How Does It Impact You?
⭐ LinkedIn is one of the oldest and most successful social platforms in the world of technology, with nearly 1 billion users and $15 billion in revenues last year.
But to stay relevant and competitive in the changing landscape of work and recruitment, LinkedIn is not resting on its laurels. Instead, it is constantly innovating and introducing new features that leverage the power of AI.
AI is not new to LinkedIn. In fact, it has been powering many of its core functionalities for years, such as suggesting connections, generating insights, and personalizing content.
But now, LinkedIn is taking AI to the next level, by integrating it into its products and services across job hunting, marketing, sales, and learning.
One of the most exciting new features is Recruiter 2024, an AI-assisted recruiting experience that uses generative AI to help recruiters find the best candidates for their roles.
Recruiters can use natural language to describe their ideal candidates, and get more relevant and diverse results. They can also get suggestions for candidates outside their usual search criteria, expanding their talent pool.
Another new feature is the AI-powered LinkedIn Learning coach, a chatbot that provides guidance and advice to learners who want to improve their skills.
The coach can answer questions, recommend courses, and provide feedback on soft skills such as communication, leadership, and teamwork. The coach is based on OpenAI’s GPT-4 model, which can generate realistic text and images.
LinkedIn is also using AI to enhance its marketing and sales products. Accelerate is a new tool that helps marketers create and optimize campaigns on LinkedIn, using AI to analyze data and provide insights.
Another feature, Inside Sales helps salespeople find and connect with potential customers on LinkedIn, using AI to generate leads and initiate conversations.
These new features are just some examples of how LinkedIn is using AI to power its products and services, and to help its users achieve their professional goals.
By tapping into the technology of OpenAI and Microsoft, LinkedIn is able to offer cutting-edge solutions that are both useful and engaging.
As AI becomes more mainstream and accessible, LinkedIn is poised to lead the way in the future of work.
AI BYTE # 3 📢 - How Meta is Using Your Social Media (FB and Instagram) Posts to Train Its AI Assistant
⭐ Meta Platforms recently revealed that it used public posts from its own social media platforms to train its new AI assistant, MetaAI.
MetaAI is a virtual assistant that can interact with users through voice, text, and gestures, and has a variety of personalities and functions.
MetaAI was one of the highlights of Meta’s Annual Connect Conference, where the company also announced its collaboration with Ray-Ban to produce smart glasses integrated with MetaAI and other AI-powered tools.
Meta’s President of Global Affairs, Nick Clegg, has said that the company tapped into the massive cache of posts by Facebook and Instagram users to improve the performance of its AI and machine learning systems.
He said that the “vast majority” of the dataset was publicly available, but did not clarify if the remaining material was private or confidential data. He also said that the company tried to exclude datasets that have a heavy preponderance of personal information, such as LinkedIn.
Meta is not the only tech company that uses user data to feed its AI engines. Spotify, Netflix, Twitter, and Instagram are some examples of platforms that analyze user behaviors and preferences to provide personalized recommendations and content.
However, Meta’s use of user data raises some privacy and ethical concerns, especially given its history of data breaches and scandals.
Some platforms have opted for a model that gives users more control over their data.
For instance, Amazon allows its users to prevent the company from training its Alexa model on their data. OpenAI also lets artists opt-out of having their work ingested for training its models, although the process is cumbersome and frustrating.
User data is undoubtedly a valuable resource for shaping AI experiences. Meta and its tech industry counterparts must balance the trade-off between technological innovation and user privacy.
The next time you share a post or ask Alexa a question, remember that you might be training the next generation of AI. So choose your words wisely!
