AI Today and Everyday — April 11, 2024
What’s New in the World of AI
Edit images in ChatGPT with new interface
The Rundown: In this tutorial, you’ll learn how to use ChatGPT’s new editor interface to edit your generated images with precision — providing a lot more control over your images.
Step-by-step:
- Visit ChatGPT and generate an image with DALL-E 3 by prompting “Create an image of [desired image]”. You’ll need a ChatGPT+ subscription.
- Click the image to open the editor interface.
- Highlight the area you want to modify using the selection tool.
- Describe your desired changes in the conversation panel (e.g., add, remove, or modify elements).
- That’s it! You can now download it for future use by pressing the Save button.
Hot tip: You can also access the editor on the ChatGPT mobile app.
AI IN META
Imaged by Magna Ding
Meta, the tech giant, plans to buy the renowned publisher Simon & Schuster. The goal is to access a large collection of books to train Meta’s AI systems. This initiative highlights the tech industry’s increasing demand for data to improve AI models and the ethical, legal, and professional implications that arise from such endeavors.
The Details:
Meta’s Acquisition Strategy: Meta discussed purchasing Simon & Schuster to enhance its AI models with a broader range of training materials, including books, poems, and essays.
- Legal and Ethical Concerns: Meta’s plans involved using copyrighted content without permission, leading to discussions about potential lawsuits and ethical dilemmas regarding intellectual property rights.
- Industry Response: The proposed acquisition raised questions within the publishing industry about the impact on authors’ rights and the preservation of the publishing house’s mission and integrity.
Why It Matters:
- AI Training and Intellectual Property: The story underscores the tension between the need for comprehensive data sets to train AI models and the respect for copyright laws and ethical standards in using such data.
- Impact on the Publishing Industry: It highlights concerns about how tech giants’ interventions could transform traditional publishing and potentially undermine authors’ rights and revenues
Udio levels up AI music creation
Image source: Udio
The Rundown: A new AI-powered music creation app from former Google DeepMind researchers called Udio just launched with the backing of prominent tech and music industry figures.
The details:
- Udio allows users to generate full audio tracks in under 40 seconds with simple text prompts from descriptions like genre, lyrics, or inspirational artists.
- The app offers powerful editing and capabilities, as well as a variety of vocal languages, music types, and remixing options.
- Udio has secured $10M in seed funding from investors including a16z, Instagram co-founder Mike Kreiger, and musicians will.i.am and Common.
- The company is also working with artists directly to explore new ways of creating and monetizing music using AI.
Why it matters: Udio’s launch marks a watershed moment for AI in music — showing off capabilities that far surpass previous audio models. As generations become indistinguishable, the music industry will face complex questions in a world where hit songs are just a prompt away.
Check out some of the impressive sample generations here.
AI IN MARKETING
Mailchimp blends AI with human ingenuity for tailored marketing campaigns.
Imaged by Magna Ding
The marketing team at Intuit Mailchimp successfully integrated AI into their daily workflow, leading to a very effective campaign.
The Details:
- AI for Prototyping: The team used AI-driven image generators for creating and refining the “clustomer” concept prototypes. This involved multiple iterations, with each step adjusted based on team feedback to accurately reflect their vision.
- Rapid Iteration and Optimization: AI enabled quick prototyping and concept validation, reducing discussions from several weeks to a single meeting. This accelerated decision-making and facilitated deeper discussions earlier.
- Personalization and Localization: The team leveraged AI to adjust and localize their marketing messages for different markets. They used AI tools for tasks like adjusting spellings for different English-speaking markets or launching campaigns in new languages, maintaining detail control and quick market response.
- Feedback Loop with Focus Groups: Using generative AI, various “clustomer” script versions were created to test different digital marketing concepts. Feedback from focus groups was quickly incorporated into the AI prototypes, enabling real-time refinement of visuals and messaging.
- Human-AI Collaboration: The text highlights the importance of combining human intuition with machine speed. The marketing team depended on their interpretation of subtle feedback and adjusted AI prompts based on insights from focus groups for rapid prototype optimization.
- Daily Experimentation and Application: Through daily small projects and experiments, the team built a collaborative relationship with AI tools, gradually improving their ability to solve problems and achieve objectives with AI. This continuous practice deepened their understanding of AI and enhanced efficiency in achieving business results.
Why It Matters:
- AI as a Competitive Advantage: AI empowers teams to be more agile, innovative, and efficient, providing a competitive edge in a rapidly evolving market landscape.
- Balancing AI and Human Creativity: The successful integration of AI in marketing campaigns showcases the importance of balancing technological capabilities with human insight and creativity.
- Future of Marketing: AI working alongside humans is becoming key to creating effective campaigns. This approach emphasizes the need for ongoing trials with AI to remain current and competitive.
Meta unveils powerful new custom AI chip
Image source: Meta
The Rundown: Meta just released the next generation of its custom Meta Training and Inference Accelerator (MTIA) AI chip family, delivering significant improvements in compute performance and efficiency.
The details:
- The next-gen MTIA chips perform 3x better than last year’s MTIA v1 across four key model evaluations.
- The new chip is currently serving Meta’s recommendation and ranking models, with plans to expand support to GenAI models like Lllama.
- The company isn’t alone in the custom silicon world — with rivals like Google, Amazon, and Microsoft all surging ahead with their own chips.
Why it matters: Meta’s next-gen chip is a crucial part of the company’s urgent (and expensive) effort to close the gap with competitors in the AI arms race. By developing its own hardware, Meta’s striving to reduce its reliance on costly Nvidia GPUs — while optimizing for their own systems in the process.
iOS 18 May Feature All-New ‘Safari Browsing Assistant’ (2 minute read)
iOS 18 will apparently feature a new Safari browsing assistant. While the code for the feature has been confirmed to exist, not many details about it are known. Apple is also apparently working on an ‘Encrypted Visual Search’ feature. iOS is set to be unveiled during Apple’s WWDC keynote on June 10.
Google has made a handful of editing features previously exclusive to Pixel devices and paid subscribers free to all Google Photos users. The features include the AI-powered Magic Editor, Magic Eraser, Photo Unblur, and Portrait Light. They will only work on devices running Android 8.0 or iOS 15 or higher and on Chromebook Plus devices with at least 3GB RAM and ChromeOS version 118+. The tools will start rolling out on May 15 — it may take weeks for them to make it to all users.
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