Thomas Z. Ramsøy

Category: Machine Learning

The Misunderstood Musings of AI: Confabulation, Not Hallucination

The Misunderstood Musings of AI: Confabulation, Not Hallucination

Artificial intelligence models, when tasked with interpreting art or responding in general, often exhibit ‘confabulations’ rather than ‘hallucinations’. These AI outputs are akin to disordered speech of neuropsychological patients, coherent but disconnected from reality. Large Language Models (LLMs) anthropomorphically strive to please, generating diverse and subjective interpretations that reflect vast datasets and probabilistic principles. Evaluating art through multiple LLMs underlines the need for human oversight, rethinking AI phenomenology, and appreciating AI’s quirks as reflections of human thought diversity. Embracing this, we must guide AI’s evolution with human wisdom, ensuring it complements human intelligence and creativity.

The Illusion of Free Will in the Age of Predictive AI

The Illusion of Free Will in the Age of Predictive AI

As AI advances, it challenges our notions of free will, with predictive AI exposing our behavior’s predictability. Studies have indicated unconscious brain processes influence decisions before we’re aware, calling into question the reality of free will. With AI able to anticipate human actions, we confront profound implications for autonomy and the essence of human agency.

The Future of AI: What 2024 Holds for Responsible and Ethical AI

The Future of AI: What 2024 Holds for Responsible and Ethical AI

In 2023, the AI landscape shifted from innovation to disruption, leading to ethical challenges. Predictions for 2024 focus on responsible AI practices, increased adoption, and the impact on the workforce. Companies will need to navigate these changes while staying ahead of AI trends and regulations to seize the potential opportunities.

AI Models Share Human Cognitive Biases

AI Models Share Human Cognitive Biases

How much do you trust artificial intelligence (AI) to make decisions for you? Would you believe that AI can be smarter than humans, or even surpass human intelligence? Are AI models free from cognitive biases? If you answered yes to these questions, you might be surprised to learn that AI is not as objective and […]

Our Brains are Predictive Variations on a Theme

Our Brains are Predictive Variations on a Theme

Predicting Mass Behavior Through Neuroscience Imagine a world where our brains hold the predictive key to unraveling and predicting the mysteries of market trends. This is not a realm of fiction, but a burgeoning field of neuroscience that reveals the power of our minds in predicting large-scale market responses. In this post, I will explore […]

Does Generative AI Have an Uncanny Valley Problem?

Does Generative AI Have an Uncanny Valley Problem?

Explore the concept of the ‘Uncanny Valley’ within the context of generative AI. Discover how this phenomenon impacts our perception and acceptance of AI-generated content, and the potential of neuroscience methods to aid in overcoming these issues, enhancing the relevance and appeal of generative AI solutions

Three Dimensions of Consumer Engagement

Three Dimensions of Consumer Engagement

Unravel the secrets of consumer engagement with a three-dimensional model – Knowledge, Preference, and Relevance. Discover neuro and AI tools for measurement, and explore actionable strategies to captivate your audience

Beyond the Blink: Dual Mechanisms of Consumer Attention

Beyond the Blink: Dual Mechanisms of Consumer Attention

In the attention economy, attention isn’t one-size-fits-all. Diving into the dual facets of bottom-up and top-down attention, Predict by Neurons is rewriting the rules, revolutionizing how we understand and engage consumers in the digital age.

Predictably Surprised: The Secret Sauce of Consumer Behavior

Predictably Surprised: The Secret Sauce of Consumer Behavior

Our brains, wired to minimize surprise, guide our choices. For marketers, aligning strategies with these predictions can make us predictably surprised

Eating pizza weirdly and the need for consumer neuroscience AI

Eating pizza weirdly and the need for consumer neuroscience AI

AI-generated ads present new challenges for the advertising industry, but also offer faster production. Marketers must navigate a fragmented landscape to reach their audience effectively. However, AI still has limitations, as seen in odd examples like pizza-eating people. The key is to calibrate AI output based on how consumers actually respond, requiring accurate predictive models. Solutions like Neurons’ Predict provide quick feedback for refining ad creatives in this new generative AI landscape.