AI Mimics Human Decision

Welcome back, AI Aficionados

YouTube is testing a new AI feature within YouTube Music, allowing Music Premium subscribers to create personalized radio stations based on conversational prompts.

Today’s News

• YouTube Music Tests AI-Generated Radio for Personalized Playlists

• Is the AI Boom Fading?

• AI Mimics Human Decision-Making for Better Accuracy

• 3 AI Tools to Turbocharge Your Productivity

• AI-Generated Images: ANCIENT EGYPT

YouTube Music Tests AI-Generated Radio for Personalized Playlists

YouTube Subscribers can now describe the type of music they want to hear, such as “angry metal music” or “relaxing instrumentals with female vocals,” and the AI will generate a continuous stream of tracks that match these descriptions. This new feature leverages YouTube’s existing keyword-matching system, enhancing the level of customization available to users.

While this might not seem like a significant leap in AI technology, the ability to request very specific, niche music could be a valuable addition for many users. It showcases YouTube’s ongoing efforts to integrate AI into its platform, aligning with the latest tech trends.

In addition to AI-generated radio, YouTube is exploring other AI applications, including background generation for videos, AI music generation for custom soundtracks, recommendations for new video ideas, and the ability to skip to the most relevant parts of a clip.

These innovations aim to enhance both content creation and user experience. The AI-generated radio option is currently being tested with YouTube Music Premium subscribers.

Is the AI Boom Fading? IT Spending Data Raises Questions

AI Boom Fading? A report by Guggenheim Securities, referencing tech researcher ETR, suggests that July IT budget growth expectations are similar to last year’s, casting doubt on AI’s impact.

Real Impact: While DiFucci believes AI will revolutionize industries, he cautions that not all tech companies will monetize these advancements successfully.

AI Mimics Human Decision-Making for Better Accuracy

Researchers have developed a neural network that mimics human decision-making by incorporating elements of uncertainty and evidence accumulation, resulting in more human-like decisions. This model, trained on handwritten digits, shows similar accuracy, response time, and confidence patterns to humans, potentially leading to more reliable AI systems and reducing the cognitive load of daily decision-making.

Key Facts:

Human-Like Decisions: The neural network mimics human uncertainty and evidence accumulation in decision-making.

Performance Comparison: When tested on a noisy dataset, the model shows similar accuracy and confidence patterns to humans.

Future Potential: This approach could improve AI reliability and help offload cognitive burdens from daily decisions.

Researchers from Georgia Tech's School of Psychology have trained a neural network to make decisions more like humans. Unlike traditional neural networks that make the same decisions every time, this new model uses a Bayesian neural network (BNN) and an evidence accumulation process to make decisions with varying confidence levels. The model was trained on the MNIST dataset and tested on a noisy version, showing accuracy, response time, and confidence patterns similar to human participants.

The research team aims to train the neural network on more varied datasets and apply the BNN model to other neural networks to enable more human-like rationalization. This could eventually allow algorithms to emulate human decision-making abilities and help offload some of the cognitive burden of the 35,000 decisions we make daily.

Quick Bites

• Tenstorrent’s Challenge: Jim Keller’s startup Tenstorrent aims to lower AI application costs with more efficient AI chips, targeting markets underserved by Nvidia.

• Cooling Cities: A German research team from the University of Freiburg used AI to model climate impacts, predicting thermal stress on urban infrastructure down to the street level. Their model, which helps evaluate urban planning measures and suggests optimal tree planting locations, aims to reduce thermal stress in cities.

• HP Takes AI Leadership to the Next Level: HP introduces the OmniBook Ultra and OmniStudio X PCs with built-in AI features, enhancing productivity, security, and sustainability.

• Are We in an AI Bubble?AI stocks are soaring in 2024, but concerns are growing that the market may be in a bubble similar to the dot-com era. While AI holds transformative potential, the question remains whether current valuations are driven by genuine advancements or speculative hype.

3 AI Tools to Turbocharge Your Productivity

🤖 Anyword: Craft compelling marketing copy and generate high-converting ad content effortlessly.

🤖 Beautiful.ai: Design stunning presentations and infographics with intuitive, AI-powered tools.

🤖 Claude: Use advanced generative AI to create detailed, engaging content and manage complex tasks.

AI-GENERATED IMAGES

prompt:
A breathtaking landscape of ancient Egypt with pyramids and the Nile River at sunset, intricately crafted in hyper-realistic oil on canvas, evoking a sense of majestic wonder, as if the viewer is standing at the riverbank, surrounded by golden light and warm shadows, with the pyramids' towering silhouettes piercing the vibrant orange and pink hues of the sky, amidst a tranquil atmosphere, where palm trees sway gently in the breeze, and the river's calm waters reflect the fiery colors of the setting sun, with hints of turquoise and emerald green peeking from the lush vegetation.

source: LeonardoAI @IamMasoodMasood

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The Chirp AI team