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Artificial Intelligence

Google launches an AI-powered image generator


Taylor Swift deepfakes be damned, Google is releasing a new AI-powered tool, ImageFX, for image creation.

Underpinned by Imagen 2, a GenAI image model developed by Google’s DeepMind team, ImageFX offers a prompt-based UI to create and edit images. That’s no different than tools like OpenAI’s DALL-E 3, Midjourney, Meta’s Imagine with Meta AI and Microsoft Designer. But ImageFX’s unique twist is “expressive chips” — basically a list of keyword suggestions that let users experiment with “adjacent dimensions” of their creations and ideas.

“Designed for experimentation and creativity, ImageFX lets you create images with a simple text prompt, then easily modify them with a new take on prompting using expressive chips,” Google writes in a blog post.

But what of the potential for abuse — especially in light of recent events?

Google ImageFx

Image Credits: Google

Google claims that it’s taken steps to ensure that ImageFX can’t be used in ways that it wasn’t intended, for example by adding “technical safeguards” to limit “problematic outputs” like violent, offensive and sexually explicit content. ImageFX also has a prompt-level filter for “named people,” presumably public figures — although Google wasn’t especially clear on that point in its press materials.

“We invested in the safety of training data from the outset,” Google said. “Consistent with our AI principles, we also conducted extensive adversarial testing and red teaming to identify and mitigate potential harmful and problematic content.”

As an additional safety measure, Google’s tagging images produced using ImageFX with SynthID, a digital watermark that’s allegedly robust against image edits and crops.

Google Imagen 2

An image sample from Imagen 2. Image Credits: Google

“SynthID watermarks are imperceptible to the human eye but detectable for identification,” Google continues in the blog post. “With added insights in ‘About this image,’ you’ll know if an image may have been generated with Google’s AI tools when you come across it in Google Search or Chrome.”

You’ll find ImageFX in AI Test Kitchen, Google’s web app for experimental AI projects.

Imagen 2 expanded

In related news today, Google said that it’s bringing Imagen 2 to more of its products and services starting this week, including to its next-gen AI search experience and family of managed AI services Vertex AI.

Imagen 2 — which also now powers text-to-image capabilities in Google Ads and Duet AI in Workspace, Google’s GenAI suite of products for productivity — has made its way into Google’s SGE (Search Generative Experience). SGE, which began surfacing image generation tools for users in Google Image Search last October, now taps Imagen 2 for generating images. Users can enter a prompt specifying what sort of image they want and SGE will return four results directly in the SGE conversational experience.

Google Imagen 2

Another sample from Imagen 2. Image Credits: Google

In Vertex AI, Imagen 2 is available through an API to Google Cloud customers. Elsewhere, Imagen 2 is now invokable through Bard, Google’s AI-driven chatbot.

“With Imagen 2, Bard understands simple or complex prompts so that you can generate a range of high-quality images,” Google explains. “Just type in a description — like ‘create an image of a dog riding a surfboard’ — and Bard will generate custom, wide-ranging visuals to help bring your idea to life.”

Google still hasn’t revealed the data it used to train Imagen 2, which — while disappointing — doesn’t exactly come as a surprise. It’s an open legal question as to whether GenAI vendors like Google can train a model on publicly available — even copyrighted — data and then turn around and commercialize that model.

Google Imagen 2

Image Credits: Google

Relevant lawsuits are working their way through the courts, with vendors arguing that they’re protected by fair use doctrine. But it’ll be some time before the dust settles.

In the meantime, Google’s playing it safe by keeping quiet on the matter.



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by Team SNFYI

Facebook is testing a new feature that invites some users—mainly in the US and Canada—to let Meta AI access parts of their phone’s camera roll. This opt-in “cloud processing” option uploads recent photos and videos to Meta’s servers so the AI can offer personalized suggestions, such as creating collages, highlight reels, or themed memories like birthdays and graduations. It can also generate AI-based edits or restyles of those images. Meta says this is optional and assures users that the uploaded media won’t be used for advertising. However, to enable this, people must agree to let Meta analyze faces, objects, and metadata like time and location. Currently, the company claims these photos won’t be used to train its AI models—but they haven’t completely ruled that out for the future. Typically, only the last 30 days of photos get uploaded, though special or older images might stay on Meta’s servers longer for specific features. Users have the option to disable the feature anytime, which prompts Meta to delete the stored media after 30 days. Privacy experts are concerned that this expands Meta’s reach into private, unpublished images and could eventually feed future AI training. Unlike Google Photos, which explicitly states that user photos won’t train its AI, Meta hasn’t made that commitment yet. For now, this is still a test run for a limited group of people, but it highlights the tension between AI-powered personalization and the need to protect personal data.

by Team SNFYI

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by Team SNFYI

You might’ve heard of Grok, X’s answer to OpenAI’s ChatGPT. It’s a chatbot, and, in that sense, behaves as as you’d expect — answering questions about current events, pop culture and so on. But unlike other chatbots, Grok has “a bit of wit,” as X owner Elon Musk puts it, and “a rebellious streak.” Long story short, Grok is willing to speak to topics that are usually off limits to other chatbots, like polarizing political theories and conspiracies. And it’ll use less-than-polite language while doing so — for example, responding to the question “When is it appropriate to listen to Christmas music?” with “Whenever the hell you want.” But Grok’s ostensible biggest selling point is its ability to access real-time X data — an ability no other chatbots have, thanks to X’s decision to gatekeep that data. Ask it “What’s happening in AI today?” and Grok will piece together a response from very recent headlines, while ChatGPT, by contrast, will provide only vague answers that reflect the limits of its training data (and filters on its web access). Earlier this week, Musk pledged that he would open source Grok, without revealing precisely what that meant. So, you’re probably wondering: How does Grok work? What can it do? And how can I access it? You’ve come to the right place. We’ve put together this handy guide to help explain all things Grok. We’ll keep it up to date as Grok changes and evolves. How does Grok work? Grok is the invention of xAI, Elon Musk’s AI startup — a startup reportedly in the process of raising billions in venture capital. (Developing AI’s expensive.) Underpinning Grok is a generative AI model called Grok-1, developed over the course of months on a cluster of “tens of thousands” of GPUs (according to an xAI blog post). To train it, xAI sourced data both from the web (dated up to Q3 2023) and feedback from human assistants that xAI refers to as “AI tutors.” On popular benchmarks, Grok-1 is about as capable as Meta’s open source Llama 2 chatbot model and surpasses OpenAI’s GPT-3.5, xAI claims. Image Credits: xAI Human-guided feedback, or reinforcement learning from human feedback (RLHF), is the way most AI-powered chatbots are fine-tuned these days. RLHF involves training a generative model, then gathering additional information to train a “reward” model and fine-tuning the generative model with the reward model via reinforcement learning. RLHF is quite good at “teaching” models to follow instructions — but not perfect. Like other models, Grok is prone to hallucinating, sometimes offering misinformation and false timelines when asked about news. And these can be severe — like wrongly claiming that the Israel–Palestine conflict reached a ceasefire when it hadn’t. For questions that stretch beyond its knowledge base, Grok leverages “real-time access” to info on X (and from Tesla, according to Bloomberg). And, similar to ChatGPT, the model has internet browsing capabilities, enabling it to search the web for up-to-date information about topics. Musk has promised improvements with the …