AI News To Know
In a week where Adobe supercharged Photoshop with AI, and an AI generated image punked the markets.
Can you spot an AI face?
Neuroscientists have found that the human brain can detect AI-generated deepfake images better than chance, even when individuals cannot verbally identify which images are real and which are fake. This discovery suggests that the brain can distinguish between deepfakes and authentic images, despite individuals' limited conscious awareness of the distinction.
The study, led by Mic Moshel, a PhD candidate in clinical neuropsychology at Macquarie University, was conducted in response to the emergence of AI-generated faces. The research team aimed to explore how humans respond to hyper-realistic AI-generated faces, specifically their ability to differentiate between real and fake.
In the behavioral testing, participants were asked to determine quickly whether an image was real or fake based on their immediate visual impressions. This test was designed to assess how well untrained observers could distinguish between real and fake images.
Despite the challenges participants faced in differentiating between real and realistic faces, distinct neural representations were observed in their brains. Participants' brain activity could identify AI-generated faces 54% of the time, while verbal identification accuracy was only 37%. This suggests that the distinction between real and realistic faces can be decoded from neural activity, but this may not reflect in behavioral performance.
The study's findings could have implications for various areas such as cybersecurity, counterfeiting, fake news, and border security, where distinguishing between real and fake images is crucial. The researchers concluded that it was possible to reliably detect AI-generated fake images using EEG activity given only a brief glance, even though observers could not consciously report seeing differences.
The results of this study are fascinating and highlight the complex interplay between human perception and the increasingly sophisticated world of AI-generated content. Even though participants found it difficult to verbally identify deepfake images, their brains showed a capacity for detection beyond mere chance. This discrepancy between conscious identification and neural activity suggests that our brains might have an unconscious awareness of AI-generated content.
Surprisingly, participants often perceived AI-generated faces as more authentic than real faces. This is an intriguing finding and might be due to the fact that AI-generated faces are typically created to be ideal or average, thus lacking the unique quirks and imperfections of real human faces.
Read: Psypost.org
Creating your own memories
Runway, an AI startup, hosted the first ever AI film festival in San Francisco, featuring short films that heavily utilized AI tools. One standout film, "Expanded Childhood," used OpenAI's DALL-E to alter childhood photos, adding elements that were not originally present.
The line between real memories and AI-generated content is becoming blurred as tech giants like Google and Adobe release AI-powered editing tools. Google's Magic Editor and Adobe's Firefly can alter images in significant ways, changing the context and potentially the memory associated with the image.
Google's Magic Eraser, released in 2021, can remove unwanted elements from photos, while Adobe's Generative Fill can add elements to a photo based on a text prompt.
These tools are becoming more accessible and common, leading to questions about the authenticity of photos and the impact on our memories.
Adobe and Google emphasize that the use of these tools should be considered in the context of the photo and its intended use. They also highlight the importance of transparency and authenticity in photo editing.
The arrival of AI-powered editing tools is really cool in the tech world! It's fascinating to see how these tools aren't just changing how we interact with images, but they might also change our memories linked to them. Being able to add or remove elements from a photo can create a whole new story or context, which can deeply impact how we remember certain events or experiences.
The ethical considerations surrounding the use of these tools are also important to think about. As they become more accessible and widespread, it's getting harder to distinguish between real and AI-generated content. This raises questions about authenticity and truth in the digital age. Thankfully, tech giants like Adobe and Google are taking steps to ensure transparency and authenticity in photo editing, which is really encouraging.
The film "Expanded Childhood" demonstrates the amazing creative potential of using AI. It's fascinating how the filmmaker was able to change his childhood photos and create a unique narrative, adding a touch of nostalgia and eeriness to the movie. This shows how AI can be a powerful tool for storytelling and artistic expression, which is pretty cool!
Read: Wired
Will AI save business?
LLMs, such as ChatGPT, Claude, and Bard, can answer questions, summarize information, and generate creative content. The next generation of LLMs are being built with more focused datasets to solve domain-specific challenges.
The current challenge with LLMs is the difference between performance and competence. While AI can achieve exceptional performance in tasks like protein folding, it lacks the understanding of why the task is important or what to do with the knowledge - it is performant, but not competent.
The article suggests that this is both the opportunity and limitation of current AI. It can improve human performance, but not yet human competence.
Rodney Brooks, former computer science chief at MIT, believes that the current round of AI innovation will have limited impact due to its lack of competence. However, others like Ken Goldberg, head of UC Berkeley’s computer science efforts, believe we are on the path to significant AI breakthroughs.
The rate at which AI develops will determine its impact on industry, jobs, and the economy. The AI revolution is expected to be rapid, potentially causing significant changes in industries like healthcare, technology, and manufacturing.
The potential of Generative AI and LLMs to boost economic value and outcomes in organizations is truly fascinating! These AI models have the ability to perform tasks that were previously believed to be exclusive to humans, like answering questions, summarizing information, and generating creative content. This has the potential to bring about significant improvements in efficiency and productivity across various industries.
However, it's important to consider the distinction between performance and competence. While AI can perform tasks exceptionally well, it currently lacks the understanding or context behind the importance of these tasks. This emphasizes the significance of human involvement in AI systems. While AI can handle tasks, humans are still needed to provide context, interpret results, and make decisions based on those results.
The diverse perspectives on the potential impact of AI innovation are also worth noting. Some people believe that the current wave of AI innovation will have limited impact due to its lack of competence, while others believe we are on the verge of significant AI breakthroughs. This ongoing debate in the AI community highlights the uncertainty surrounding the future of AI and its potential impact on society.
The rapid development of AI and its potential impact on industry, jobs, and the economy is a crucial topic for discussion. As AI continues to advance, it's crucial for organizations and individuals to adapt and prepare for these changes. This involves acquiring new skills, implementing new tools and infrastructure, and developing innovative ways of working.
Read: Forbes
Next week in Prompt Hackers
Some more interesting articles for this coming week, including: Sweet images with a 3d feel, hypnotic Avant-garde noir portraits, cowboys (the second part of the Cowboys and Indians piece request), surreal portraits, and some fabulous abstract architecture.
Thanks for reading