Recent articles from the Bohemian
- Requiem for a friendThis industry, the stock and news photo industry, has a unique draw to the most varied, most eclectic individuals than any other. There is no school or degree that one can take to learn how to manage millions of images/videos to rent them to hundreds of thousands of users worldwide. No school or degree that […]
- Photojournalism favorite sister – Jocelyn ManfrediIt’s with words heavy in pain that we write these lines. Jocelyn Manfredi, the unwavering pillar of Sipa Press and photojournalism, has left us. Jocelyn was a multiple exception. A woman in a world full of macho men, she juggled multiple conversations while watching the news, in various languages, still making you feel like you […]
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YouTube is rolling out a new ‘captured with a camera’ label that works with C2PA Content Credentials. -
WhatsApp's new feature to combat fake news: Exposing the truth behind misleading images -
As A.I.-generated data becomes harder to detect, it’s increasingly likely to be ingested by future A.I., leading to worse results. -
Advertisers can leverage these new features for various purposes, from basic tasks like altering the background color behind product images or creating a solid background, to more advanced jobs such as customizing product placement within specific scenes. The tools can also be used to enhance low-quality images without the need for a reshoot. -
Google’s Search Generative Experience (SGE) will let you create images right from a text prompt starting Thursday, the company announced. Microsoft has offered the ability to make images from Bing Chat using OpenAI’s DALL-E model since March, so it’s not too surprising to see Google follow suit.
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Authenticity in the Digital Age: Going Beyond Certified Organic
Major tech companies like Google, Meta, and OpenAI are labeling AI-generated images as “AI-generated” to distinguish them from authentic photos. These labels support the C2PA standard which is gaining industry support, emphasizing transparency for consumers and protection against deceptive imagery. An upcoming panel will discuss the effectiveness and future of these labeling practices, although the system isn’t foolproof due to the potential to manipulate image metadata. The industry is also exploring AI detection tools as another method to identify AI-generated content.
The Uncanny Valley of Information in Deepfakes
Deepfake technology struggles with the uncanny valley not just in visuals but in narrative believability. Effective deepfakes are subtle, avoiding suspicion by mimicking mundane reality. The major challenge for deepfakes, as illustrated by elections and AI-generated images, lies in crafting convincing stories, not just in visual realism. Education helps people discern truth, highlighting the need for vigilance in the face of potential misuse of digital manipulation.
Three technologies that will dominate the visual tech sector in 2024
The year 2024 marks a milestone in digital imagery evolution as groundbreaking technologies redefine visual expression. Generative AI revolutionizes visual content, while Extended Reality (XR) and Neural Radiance Fields (NeRF) reshape 3D modeling. These innovations permeate every aspect of our visually-driven society, promising a future where physical and digital realities merge in unprecedented ways.
Combating Online Counterfeiters: Ensuring Image Authenticity
The Visual Economy: A Double-Edged Sword In the pulsating heart of today’s digital marketplace lies a universal truth: visuals are the currency of communication. A photo, a video, a graphic – these are not mere adornments but the lifeblood of sales and marketing. In the visual economy, the adage “a
