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    • AI chatbots outperform humans in creativity on averageA recent study shows AI chatbots can generate more creative responses than humans on average in certain tasks, but human creativity still exceeds AI's in some cases.

      A recent study published in the journal Nature suggests that AI chatbots, specifically GPT 4, can outperform humans in creative tasks on average. However, the best human ideas still match or exceed those of the chatbots. This research challenges the traditional notion that creativity is an ability exclusive to humans. The study used the alternative uses task (AUT) to compare human and AI creativity, with participants asked to generate uncommon and creative uses for everyday objects. While human responses included poor quality ideas, the chatbots generally produced more creative responses on average. The authors of the study raise questions about the differences between human and machine creativity, and the implications of these findings for the future of AI development. This research is significant because it challenges our assumptions about what makes us uniquely human and highlights the rapidly advancing capabilities of AI.

    • Study comparing chatbots' creative abilities to humans using divergent thinkingRecent study shows chatbots like GPT 4 generating creative responses comparable to humans during divergent thinking tasks, demonstrating advancements in AI's ability to ideate.

      A recent study explored the creative abilities of chatbots, comparing them to human participants using the alternative uses task for evaluating divergent thinking. Divergent thinking, a less scientifically defined concept, was assessed by generating uncommon uses for everyday objects like rope, box, pencil, and candle. The study involved over 250 participants, mostly from the UK and US, with an average age of 30.4 years. The responses were judged based on semantic distance between the object name and the generated response, indicating the uncommonness of the words used. The chatbots, representing GPT 3, 3.5, and 4, were tested against human participants. The study revealed that the chatbots, especially GPT 4, produced creative responses comparable to human participants, demonstrating advancements in AI's ability to generate creative ideas. This research paves the way for further exploration of AI's creative potential and its potential applications in various industries.

    • AI surpasses human creative thinking in testsStudy shows AI outperforms humans in generating ideas, but human creativity is multifaceted and this study has limitations

      The study suggests AI has reached or even surpassed the average human's ability to generate ideas in tests of creative thinking, such as divergent thinking. However, the best human performers can still compete. The main weakness in human performance identified in the study was the relatively high proportion of poor quality ideas, which were absent in chatbot responses. This weakness could be due to normal human performance variations, including failures in associative and executive processes as well as motivational factors. It's important to note that creativity is multifaceted, and this study only focused on one type of test. Therefore, the study's conclusions should be taken with a grain of salt, as there are limitations, such as only one sample group and the rapidly developing AI technology. AI writer Andrew Curran believes that the average human was surpassed by AI in March 2023, and the next iteration of AI could bring transformative changes for human society. Another exciting development is the Next GPT paper, which offers an any-to-any multimodal language model, expanding the capabilities of AI beyond text-based interactions.

    • Multimodal Language Model: Bridging the Gap Between Text and Other MediaResearchers introduce NextGPT, an end-to-end multimodal language model capable of processing and generating text, images, videos, and audios, bringing us closer to human-like AI.

      The future of language models (LLMs) lies in multimodality, allowing them to process and generate content across various formats such as text, images, videos, and audios. This is essential for human-level AI as we live and communicate in a multimodal world. The researchers in this study introduce NextGPT, an end-to-end general-purpose any-to-any multimodal language model (MMLM), which connects an LLM with multimodal adapters and different diffusion decoders. This system can perceive inputs and generate outputs in arbitrary combinations of text, images, videos, and audios. The implications of this research are significant as it paves the way for more human-like AI, with models like Google's Gemini and OpenAI's upcoming releases also expected to focus on multimodality. By modeling universal modalities, we are one step closer to creating a unified AI agent that can better understand and communicate with us in our multimodal world.

    • NVIDIA develops AI system to identify and categorize smellsNVIDIA created an AI system that identifies smells based on molecular compositions using a unique dataset and graph neural network, revolutionizing digital olfaction. In ophthalmology, Ret Found, a retinal image model, was announced, trained using self-supervised learning, potentially transforming eye condition diagnosis.

      Researchers at NVIDIA have developed an AI system that can identify and categorize smells based on molecular compositions, marking a significant milestone in the field of digital olfaction. This neural network, which can smell like humans do, was trained using a unique dataset of 5,000 molecules and their corresponding human-labeled smells. The researchers employed a graph neural network (GNN) to map each molecule to its corresponding label, creating a "principle odor map" that accurately represents hierarchies and distances among odorants. This technology could be crucial for robot chefs in the future, as it allows for the identification and description of both natural and synthetic smells. Additionally, another foundational model was announced this week in the field of ophthalmology. Ret Found is a retinal image model that was trained using self-supervised learning, meaning the researchers did not need to manually label each of the 1.6 million retinal images used for training. Instead, they employed a method similar to that used for training large language models like ChatGPT. This model could potentially revolutionize the field of ophthalmology by automatically identifying and categorizing various eye conditions from retinal images. Both of these models represent significant advancements in their respective fields and demonstrate the power of AI and machine learning in understanding and interpreting complex data.

    • AI tools for healthcare: RetFound for retinal images and BrainLM for fMRI analysisAI models can learn from vast datasets to predict missing portions of retinal images and analyze functional magnetic resonance imaging data, improving healthcare diagnoses and understanding of complex conditions

      AI models can learn from large datasets to make predictions based on context, as demonstrated by the use of an AI tool for predicting missing portions of retinal images and a foundation model for analyzing functional magnetic resonance imaging (fMRI) data. The AI tool, RetFound, uses a vast collection of retinal photos to learn the features of a healthy retina and can identify issues with the eye and other related health conditions, such as cardiovascular diseases and neurological disorders like Parkinson's. BrainLM, on the other hand, is a foundation model for fMRI analysis, trained on 67,100 hours of brain activity data, which can be used for various purposes and showcases the influence of techniques used for generalist models on more specific applications. These advancements demonstrate the potential of AI in healthcare, particularly in diagnosing and understanding complex conditions, and the importance of label-efficient methods for expanding AI's reach to rare diseases. Moreover, the progress in one area of AI can inspire and impact the development of AI in other fields.

    • AI's impact on various industries and applicationsAI's integration with other technologies is accelerating innovation and pushing the boundaries of what's possible, with applications ranging from medical diagnoses to image and speech recognition.

      Artificial intelligence (AI) research is advancing rapidly and influencing various fields of study through a powerful feedback loop. The latest research in AI showcases its potential to revolutionize industries and solve complex problems. For instance, machine learning algorithms are being used to develop more accurate medical diagnoses, and deep learning techniques are being employed to improve image and speech recognition. Furthermore, AI is being integrated with other technologies such as robotics, computer vision, and natural language processing to create more advanced systems. This symbiotic relationship between AI and other fields is accelerating innovation and pushing the boundaries of what is possible. Overall, the future of AI looks bright, and its impact on various industries and applications is only going to grow.

    Recent Episodes from The AI Breakdown: Daily Artificial Intelligence News and Discussions

    GPT-4o Mini and the Rise of Smaller, Low Cost AI Models

    GPT-4o Mini and the Rise of Smaller, Low Cost AI Models

    OpenAI released GPT-4o Mini this week. It's both more powerful and 60% cheaper than GPT-3.5. In this episode, NLW discusses how model competition is moving towards small at the same time it's proceeding towards state of the art.

    Concerned about being spied on? Tired of censored responses? Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Venice.ai⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for private, uncensored AI alternative.

    Learn how to use AI with the world's biggest library of fun and useful tutorials: https://besuper.ai/ Use code 'podcast' for 50% off your first month.

    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    Elon Turns On "Most Powerful AI Training Cluster In the World"

    Elon Turns On "Most Powerful AI Training Cluster In the World"

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    Learn how to use AI with the world's biggest library of fun and useful tutorials: https://besuper.ai/ Use code 'podcast' for 50% off your first month.

    The AI Daily Brief helps you understand the most important news and discussions in AI.

    Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614

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    AI and the Necessary Transformation of Education

    AI and the Necessary Transformation of Education

    A reading and discussion inspired by https://hechingerreport.org/opinion-what-teachers-call-ai-cheating-leaders-in-the-workforce-might-call-progress/


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    Learn how to use AI with the world's biggest library of fun and useful tutorials: https://besuper.ai/ Use code 'podcast' for 50% off your first month.

    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    A Draft Republican Exec Order Calls for AI "Manhattan Projects"

    A Draft Republican Exec Order Calls for AI "Manhattan Projects"

    NLW covers reporting about a draft Republican AI executive order. Also, Menlo Ventures and Anthropic partner on a $100m fund.


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    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    Why Republican VP Nominee JD Vance is Loudly For Open Source AI

    Why Republican VP Nominee JD Vance is Loudly For Open Source AI

    NLW covers the pro-open source AI statements of JD Vance and situates his previous VC career. Before that in the Headlines, is Microsoft building Agents?


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    Learn how to use AI with the world's biggest library of fun and useful tutorials: https://besuper.ai/ Use code 'podcast' for 50% off your first month.

    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    OpenAI's Q* Reasoning AI is Now Code-Named "Strawberry"

    OpenAI's Q* Reasoning AI is Now Code-Named "Strawberry"

    Discover OpenAI’s latest breakthrough with the newly announced reasoning AI, code-named “Strawberry.” This episode examines the features and capabilities of “Strawberry,” its potential impact on the AI industry, and what this means for the future of artificial intelligence. Explore this exciting development and its implications for AI research and applications.
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    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    AI Is The Fastest Adopted Work Tech Ever, But Still Not Fast Enough for Some

    AI Is The Fastest Adopted Work Tech Ever, But Still Not Fast Enough for Some

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    Learn how to use AI with the world's biggest library of fun and useful tutorials: https://besuper.ai/ Use code 'podcast' for 50% off your first month.

    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    OpenAI's New System for Determining How Close AGI Is

    OpenAI's New System for Determining How Close AGI Is

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    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    Marc Andreessen Gives a Meme-Obsessed AI Agent $50k in BTC

    Marc Andreessen Gives a Meme-Obsessed AI Agent $50k in BTC

    In one of the wilder stories we've had here at The AI Daily Brief for some time, NLW covers the story of Terminals of Truth and Marc Andreessen. It's a story of AI agents, emerging AI consciousness, internet culture and more.

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    The AI Daily Brief helps you understand the most important news and discussions in AI.

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    Goldman Sachs Is Wrong About AI (Why AI Isn't A Bubble)

    Goldman Sachs Is Wrong About AI (Why AI Isn't A Bubble)

    Recently, Goldman Sachs made waves in the AI space with their report "Gen AI: too much spend, too little benefit?" In this extra long episode, NLW explains what he sees as problems with the arguments of the skeptics featured in the piece, as well as why the report actually isn't nearly as negative as people are presenting it.

    Read the report: https://www.goldmansachs.com/intelligence/pages/gen-ai-too-much-spend-too-little-benefit.html

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    The AI Daily Brief helps you understand the most important news and discussions in AI.

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