The hottest Images Substack posts right now

Large language models like Sora often make up information, leading to errors like hallucinations in their output.
Systems like Sora, despite having immense computational power and being grounded in both text and images, still struggle with generating accurate and realistic content.
Sora's errors stem from its inability to comprehend global context, leading to flawed outputs even when individual details are correct.

A seemingly innocent image can have a hidden strong emotion.
Be cautious of how you link unrelated things, as it may have unintended consequences.
Creativity can be applied in unexpected ways, like in job interviews.

Images are a biased form of communication compared to text because they inherently introduce bias by conveying more context and extra-textual information.
Different communication modalities like images and text convey different amounts and types of information, impacting how we understand and interpret data and knowledge.
Understanding the rise of visual communication technologies can lead to a deeper comprehension of the effects of information technology on society and help in decision-making for the future.

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The post discusses seeking medical care outside of demographic groups for better outcomes.
The content includes various images linked within the post.
The author's name is Kevin Beck.

Different names proposed before settling on 'photograph' offer unique perspectives on how people made sense of images.
AI images are not photographs, as they use light differently and inscribe ontologies onto noise using data and categories.
Ontolography, a proposed term for AI-generated images, emphasizes the domain-specific knowledge influencing their production and underlines how they are shaped by the category assignments and labels given to them.

George Brecht's 'event scores' introduced chance in art creation, leading to variation and minimalism in performances.
OpenAI's DALLE-2 creates images based on text prompts, utilizing a 'latent space' to generate diverse visual outputs.
The balance between bias and randomness in AI models like DALLE-2 impacts their ability to interpret and produce creative content, raising questions about human imagination and artistic impact.