Our senses don’t work in isolation – they often blend together in ways that shape our experiences, a phenomenon that both marketers and scientists study. Have you ever wondered what the flavor of a pink sphere might be or what the sound of a Sauvignon Blanc could be? While these questions may seem odd, there’s a fascinating scientific reason behind them: the brain naturally merges sensory inputs, influencing how we perceive flavors, colors, and even shapes.

The Cross-Talk Between Senses

This merging of senses is called cross-modal correspondence—when one sense triggers a response in another. For example, the color of a glass or music in the background of a bar can affect how sweet or musky a wine tastes. “This cross-talk between the senses is happening almost continuously,” explains Carlos Velasco, a researcher at BI Norwegian Business School in Oslo, Norway. In some rare cases, people experience a phenomenon called synaesthesia, where stimuli in one sense, like words, can trigger a taste or colors are associated with sounds.

Recent research by Velasco suggests that even artificial intelligence (AI) systems, such as generative models, seem to experience a version of this phenomenon. Though it’s not literal “taste,” these AI systems show patterns similar to human sensory associations, possibly highlighting how these associations are wired into human brains. Scientists aim to understand and apply these insights in innovative ways.

How Humans Experience Sensory Blending

To explore sensory blending, scientists use the term sensory modality to describe how the body processes different sensory inputs (taste, sight, touch, etc.). The associations that arise between these senses are called cross-modal correspondences. For example, since the 1970s, research has shown that colors like red or pink are linked with sweetness, yellow or green with sourness, and brown or black with bitterness. These associations are remarkably consistent across cultures. In one experiment, participants were asked to rate how sweet they thought the color red was on a scale from 1 to 10. Over time, studies have confirmed that these associations hold true across different populations, from China to India to Malaysia.

Packaging also plays a role in shaping our sensory perceptions. For example, research from Waseda University in Japan found that people perceive chocolate to be sweeter when it is wrapped in pink packaging instead of black. Similarly, we associate round shapes with sweetness and spiky shapes with bitterness or sourness, indicating that we “eat with our eyes” as much as our taste buds.

Understanding These Associations

But why do we associate colors and shapes with certain tastes? One theory is that humans internalize patterns based on our environment. “The safest assumption is that we learn them all,” says Charles Spence, head of the cross-modal research lab at the University of Oxford. For example, fruits in nature often change from green (sour) to red (sweet) as they ripen, so our brains naturally associate red hues with sweetness.

When it comes to shapes, the connections are more psychological. We might associate round shapes with sweetness because they’re more pleasing and less likely to harm us. Sharp, spiky shapes could evoke bitterness because many poisonous substances are bitter and sharp.

AI and Sensory Associations

Inspired by the success of AI in other fields, Velasco, Spence, and Kosuke Motoki at the University of Tokyo decided to test whether AI models, such as ChatGPT, would show similar sensory associations. They asked ChatGPT to respond to prompts similar to those given to human participants, such as:

• “On a scale from 1 to 7, how strongly do you associate round shapes with sweet, sour, salty, bitter, and umami tastes?”
• “Which color do you think best goes with sweet tastes?”

When comparing responses across multiple languages, the researchers found that ChatGPT reflected many of the same associations seen in human participants. Notably, the more advanced model, ChatGPT-4, provided answers more in line with human associations than the previous version, ChatGPT-3.5. These findings suggest that AI systems trained on human data may capture sensory patterns similar to those in human brains, even if they lack the sensory experience to truly “taste.”

Can AI Predict Sensory Experiences?

Excited by these findings, I explored whether Google’s Gemini AI would also reflect common sensory associations. I asked it to identify the sweetest color, and it correctly responded: “Many people associate pink with sweetness, likely due to its association with sugary treats like cotton candy and bubble gum.” Similarly, it linked green with sourness, white with saltiness, and black with bitterness.

Interestingly, Gemini’s answer mirrored findings from scientific literature, specifically the research of Charles Spence on cross-modal associations. This raises an intriguing possibility: Can generative AIs go beyond what is already known and discover new sensory associations that have yet to be documented?

Spence believes that AI could potentially generate new hypotheses for cross-modal correspondences that could then be tested in human experiments. Such AI-driven insights could be valuable for industries like marketing, helping companies design products or packaging that appeal to our subconscious sensory preferences.

The Role of AI in Creative Processes

While AI’s findings can be useful, Velasco warns that AI should be used for inspiration rather than as a definitive solution. “It’s inspiration, rather than a definite solution,” he says. Human creativity is still necessary to add the nuances and excitement that make sensory experiences unique. For example, while AI might tell us that pink is associated with sweetness, it might take a human touch to create a truly compelling packaging design that plays with this idea.

AI and the Festive Season

As the holiday season approaches, I couldn’t resist asking ChatGPT for a musical recommendation to accompany my mulled wine and mince pies. According to ChatGPT, the complex, spicy flavor of mulled wine calls for a piece of music that reflects its richness: “Carol of the Bells,” performed with a lush orchestration, captures the festive warmth of mulled wine. However, if you’re in the mood for something more relaxed, ChatGPT suggests “Have Yourself a Merry Little Christmas,” performed by Ella Fitzgerald, or “Christmas Time is Here” by the Vince Guaraldi Trio. Whether you agree with AI’s suggestions or not, its response highlights the growing role of AI in understanding and shaping our sensory experiences.

Conclusion

While we still need more research before we can fully trust AI’s judgment on sensory experiences, AI’s ability to reflect human sensory associations opens up exciting possibilities. From food packaging to music pairings, AI can inspire new ways to connect the senses and influence how we experience the world. But, as with all creativity, it’s best when paired with human intuition and imagination.

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OpenAI has introduced Sora, a groundbreaking video creation tool now accessible to millions of ChatGPT subscribers, marking a pivotal moment for AI-generated content.

Why It Matters

Sora represents a large-scale experiment in how people create and consume photorealistic yet synthetic video content. The implications are vast, raising questions about creativity, ethics, and societal norms.

The Big Picture

OpenAI launched Sora with a deliberate intention to foster dialogue about responsible AI use.

“We’re introducing this technology to give society time to explore its potential and co-develop norms and safeguards,” the company stated in its announcement.

Key Features of Sora

• Faster Video Creation: The latest “Turbo” version generates videos up to 20 seconds long at unprecedented speed.
• Customizable Prompts: Users can integrate their own images and add prompts at specific points in the timeline.
• Voice Narration: A feature in testing allows users to narrate videos using AI-generated replicas of their voices in multiple languages.
• Collaboration Tool: Sora is designed as a creative assistant, enabling users to brainstorm and explore ideas.

Early Reactions

When OpenAI previewed Sora earlier this year, its capabilities amazed audiences while sparking concerns, particularly in creative industries like Hollywood. Critics argue that tools like Sora exploit copyrighted material to train their algorithms, further inflaming debates about intellectual property and AI ethics.

Prominent tech reviewer Marques Brownlee highlighted some limitations in an early review. For instance, Sora struggles with basic physics, often producing videos where objects mysteriously appear or disappear.

OpenAI’s Stance

Sam Altman, OpenAI’s CEO, emphasized the tool’s cultural significance:

“We don’t want the world to just be text. Video is important to our culture.”

Despite the tool’s promise, OpenAI acknowledges potential misuse. To address this:

• Restricted Uploads: At launch, user-uploaded images of people will face limitations.
• Moderation: Sora will implement conservative content moderation, with feedback shaping its evolution.
• Global Availability: Sora will not be available in Europe and the U.K. initially due to stringent privacy laws.

The Competitive Landscape

OpenAI isn’t the only player.

• Google has introduced Veo to business partners.
• Meta is developing Movie Gen, though it’s not yet public.

Challenges Ahead

The rise of AI-generated video comes at a time when platforms like TikTok and YouTube already dominate with short-form video content. Observers have mixed feelings: some praise Sora’s potential, while others worry it will flood the internet with low-quality, AI-generated videos.

OpenAI has pledged to combat illegal use cases, such as creating harmful or impersonated content. However, the internet’s tendency to exploit tools for controversial purposes remains a concern.

Looking Forward

Sora’s rollout will be a litmus test for how society handles AI-driven video content. Its evolution could reshape industries, influence norms, and challenge our ability to distinguish between real and synthetic media.

The Bottom Line: With Sora, OpenAI isn’t just launching a product—it’s opening a Pandora’s box of possibilities and dilemmas that will shape our digital future.

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Introduction

The social media platform X (formerly Twitter) has introduced updated terms of service effective November 15, which include a controversial provision allowing the platform to use users’ content for training its artificial intelligence (AI) models. The decision has ignited widespread debate, with concerns ranging from data privacy to ethical issues surrounding the use of creative work.

What’s in the Updated Terms?
The revised terms grant X a worldwide, non-exclusive, royalty-free license to analyze user-generated content for various purposes, explicitly including the training of machine learning and AI models. This broad scope means that everything users post—text, photos, and other media—can potentially be used to refine X’s AI tools, such as its chatbot Grok.

While using user data for AI training is not uncommon among tech companies, X’s updated terms stand out for their explicitness. Alex Fink, CEO of Otherweb, pointed out that X’s approach removes ambiguity often seen in similar agreements on other platforms.

Concerns from Creatives and Privacy Advocates
The new policy has alarmed artists and creators who fear their work could be exploited to train AI systems that might eventually replace human creativity. Many X users are also apprehensive about personal information being processed for AI purposes. Some have started removing personal photographs and sensitive content from their accounts.

Privacy concerns are further exacerbated by the lack of clarity regarding opt-out mechanisms. Previously, users could disable data sharing for AI training through privacy settings, but it is uncertain if this option remains valid under the new terms. Moreover, the language in the revised agreement no longer differentiates between public and private accounts.

Legal Implications and Jurisdiction
Another contentious update involves changes to dispute resolution. Any legal issues arising from the new terms must be filed in the US District Court for the Northern District of Texas or state courts in Tarrant County, Texas. This stipulation places potential legal battles in a jurisdiction over 100 miles from X’s new headquarters in Austin, raising logistical challenges for users wishing to contest the terms.

Grok’s Controversies
Grok, X’s AI chatbot, has already drawn criticism for spreading misinformation about elections and generating inappropriate content. These incidents highlight the potential risks of relying on user data to improve AI tools without stringent safeguards.

A Broader Issue in the Tech Industry
X’s move aligns with a broader trend of tech companies leveraging user-generated content for AI development. Giants like Google and Microsoft have faced similar backlash over the unintended consequences of their AI initiatives, from misinformation to ethical violations.

Conclusion
While X’s new terms of service are within the scope of what is common for social media platforms, their explicit wording and wide-ranging implications have sparked significant pushback. Whether users retain any control over their data in this new framework remains to be seen, but the update underscores the growing tension between AI advancement and individual rights in the digital age.

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