OpenAI’s New Tool Detects 98% AI-Generated Images
Plus: Meta expands AI-powered creativity tools for advertisers, OpenAI’s ‘Media Manager’ will let creators opt out of AI training.
Hello Engineering Leaders and AI Enthusiasts!
Welcome to the 270th edition of The AI Edge newsletter. This edition features “OpenAI’s New Tool Detects 98% AI-Generated Images.”
And a huge shoutout to our amazing readers. We appreciate you😊
In today’s edition:
🖼️ OpenAI’s new tool detects 98% DALL-E 3 generated images
📣 Meta expands AI-powered creativity tools for advertisers
🎬 OpenAI’s ‘Media Manager’ will let creators opt out of AI training
📚 Knowledge Nugget: What's With All the Humanoid Robots? by
Let’s go!
OpenAI’s new tool detects 98% DALL-E 3 generated images
OpenAI has developed a new tool to detect if an image was created by DALL-E 3, its AI image generator. The tool can detect DALL-E 3 images with around 98% accuracy, even if the image has been cropped, compressed, or had its saturation changed. However, the tool is not as effective at detecting images generated by other AI models, only flagging 5-10% of images.
This image detection classifier is only available to a group of testers, including research labs and research-oriented journalism nonprofits through OpenAI’s Research Access Program.
OpenAI has also added watermarking to Voice Engine, its text-to-speech platform, which is currently in limited research preview.
Why does it matter?
Early experiences have shown that AI detectors don’t work. In fact, if they have high error rates, they could lead to false accusations. In 2023, OpenAI had to shut down its own AI detection software for text because of its poor accuracy.
So, if this detector is as good as OpenAI claims, we may be on the precipice of a revolutionary new capability to reliably detect AI-generated content, with huge implications across domains.
Meta expands AI-powered creativity tools for advertisers
Meta has expanded its generative AI tools for advertisers. Advertisers can request AI to generate entirely new images, including product variations in different colors, angles, and scenarios. The AI tools can add text overlays with different fonts, expand images to fit different aspect ratios like Reels and Feed, and generate ad headlines that match the brand's voice.
The AI features will roll out globally to advertisers by the end of 2024.
Meta is also expanding its paid Meta Verified service for businesses to more countries. Different pricing tiers offer features like account support, profile enhancements, and better customer service access.
Why does it matter?
Integrating such powerful AI features could lead to more effective advertising campaigns and improved customer engagement with targeted marketing and personalized ads. However, it could also raise questions about transparency and potential misuse.
OpenAI’s ‘Media Manager’ will let creators opt out of AI training
OpenAI is developing Media Manager, a tool that will enable creators and content owners to decide what they own and specify how they want their works to be included or excluded from machine learning research and training. This first-ever tool of its kind will help OpenAI identify copyrighted text, images, audio, and video across multiple sources and reflect creator preferences.
OpenAI aims to have the tool in place by 2025 and set a standard across the AI industry with it.
Why does it matter?
Media Manager seems to be OpenAI’s response to growing criticism of its approach to developing AI models, which heavily scraps publicly available data from the web for training. Recently, 8 prominent U.S. newspapers sued OpenAI for copyright infringement.
On the other hand, OpenAI has formed mutually beneficial partnerships with platforms like Stack Overflow, Shutterstock, The Financial Times, and more to use their content.
So, OpenAI may be trying to meet creators in the middle, but if it is positioning itself as a fully ethical actor with this, we’ll take it with a grain of salt.
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Knowledge Nugget: What's With All the Humanoid Robots?
In this article,
examines the recent explosion of humanoid robot startups and the reasons behind this trend:He first defines a "humanoid" robot as one that looks like a human, can work in human environments, is multi-purpose, and can be instructed and interacted with like a human.
The author then discusses the various aspects of mimicking the human form, such as using legs to navigate stairs and human-like hands with fingers for dexterity.
The author also notes the challenges of replicating the human body, including the complexity and expense of legs for balance and dynamic movement and the difficulty of recreating the sensitivity and strength of the human hand.
While humanoid robots promise to work seamlessly in human environments and perform a wide range of tasks, the engineering challenges in achieving this are significant.
The author suggests that a less human-like design with powerful fingers and focusing on sensory capabilities rather than speed may be a more practical approach.
Why does it matter?
It makes us rethink if we are going right with this shift in robot design philosophy. Because no matter how much we try to make robots look and function like humans, we may never be able to make them “feel/sense” like humans.
As the author suggests, perhaps a less anthropomorphic design focused on specific capabilities like sensory perception could be a more pragmatic path forward? Only time will tell.
What Else Is Happening❗
🍎 Apple releases M4 chip at the ‘Let Loose' event with powerful AI capabilities
Apple released its much-anticipated M4 chip at the "Let Loose" event. M4 is slated to spearhead Apple's next generation of devices, with the iPad Pro leading the charge and powering the forthcoming OLED iPad Pro which is meticulously engineered to elevate the user experience to unprecedented heights. (Link)
📰 OpenAI strikes licensing deal with People magazine publisher
OpenAI has inked a licensing deal with Dotdash Meredith to bring the People magazine publisher’s content to ChatGPT and help train it’s AI models. Under the partnership, OpenAI will be able to display lifestyle and entertainment content in its chatbot from the many websites of one of the US's largest digital and print publishers. (Link)
🤖 Amazon announces Bedrock Studio to simplify Gen AI app development
Amazon is launching a new tool, Bedrock Studio, designed to let organizations experiment with generative AI models, collaborate on those models, and ultimately build generative AI-powered apps. Bedrock Studio is a “rapid prototyping environment” for generative AI. It also guides developers in evaluating, analyzing, fine-tuning, and sharing generative AI models. (Link)
👨💻 Oracle introduces Code Assitant to accelerate enterprise software development
Oracle has announced Code Assitant, an AI-powered service to help developers rapidly program apps based on Java, SQL, and the Oracle Cloud infrastructure. It will join tools like GitHub Copilot and Amazon CodeWhisperer to accelerate the app development lifecycle. However, Oracle hasn’t yet specified when this feature will be released. (Link)
🚀 Red Hat launches RHEL AI and InstructLab to democratize enterprise AI
At Red Hat Summit 2024, RedHat announced two major initiatives to bring the power of generative AI to the enterprise. Red Hat Enterprise Linux AI (RHEL AI), a foundation model platform for developing and running open-source language models, and InstructLab, a community project to enable domain experts to enhance AI models with their knowledge. (Link)
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