🤖 Blender Artists and AI-Generated Content

🤖 Blender Artists and AI-Generated Content

As a Blender artist, I was initially skeptical about AI-generated content. However, I recently witnessed a machine create an entire scene that I would have taken days to weeks to make. This experience has left me questioning the role of human creativity in the face of AI advancements.

Key Points:

• AI-generated content: is rapidly improving, with machines capable of creating complex scenes in a matter of seconds.

• Human creativity: is still essential, but AI can augment and assist artists in their work.

• The intersection of: AI and human creativity is an exciting area of exploration.

🔗 Resources:

• Original post ↗ - Original tweet
• Blender ↗ - 3D creation software

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🚀 Access to 3D Navigable Worlds

I'm trying to build accurate 3D navigable worlds of interior spaces. I developed an app that captures spherical images indoors with the press of a button. However, I need access to @theworldlabs' Atlas to further improve my project.

Key Points:

• 3D navigable worlds: are becoming increasingly important for interior design and architecture.

• Spherical capture technology: can be used to create accurate and immersive 3D models.

• Access to high-quality: 3D data is essential for improving 3D modeling and rendering.

🔗 Resources:

• Original post ↗ - Original tweet
• Atlas ↗ - 3D data platform

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🚀 The Reality of AI Funding

Yes, using tech and VC dollars to fund AI can lead to massive returns. However, there's a shortage of people willing to lend at 6-7% for physical assets that may lose value in the short term.

Key Points:

• AI funding: can be lucrative, but it's not without risks.

• The value of: physical assets can fluctuate, making lending more challenging.

• A balanced approach: to AI funding is essential.

🔗 Resources:

• Original post ↗ - Original tweet
• VC funding ↗ - Funding model for startups

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🚀 Prediction Markets and AI

I recently experimented with prediction markets and threw money into Michigan to understand how they work. This experience has left me intrigued by the potential of AI in prediction markets.

Key Points:

• Prediction markets: can be a powerful tool for predicting outcomes.

• AI can improve: the accuracy of prediction markets by analyzing large datasets.

• The intersection of: AI and prediction markets is an exciting area of exploration.

🔗 Resources:

• Original post ↗ - Original tweet
• Prediction markets ↗ - Market for predicting outcomes

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🚀 The Impact of AI on Job Creation

The US has added over 1 million new jobs due to AI since 2023, with 700k white-collar jobs and 310k blue-collar jobs created.

Key Points:

• AI has created: new job opportunities in various industries.

• The impact of: AI on job creation is significant, with over 1 million new jobs created.

• The future of work: will be shaped by AI and automation.

🔗 Resources:

• Original post ↗ - Original tweet
• AI job creation ↗ - Report on AI job creation

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🚀 The Importance of Adaptation in Startup Success

There are very few original startup ideas. Most often, startups need to adapt and learn from the market as they go.

Key Points:

• Adaptation: is key to startup success.

• Startups need to: be prepared to pivot and adjust to changing market conditions.

• The ability to: learn and adapt is essential for startups.

🔗 Resources:

• Original post ↗ - Original tweet
• Startup adaptation ↗ - Article on startup adaptation

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🚀 The Evolution of Watch Accuracy

Here's a graph of the accuracy of watches I own over the years. Rapid progress was made in the early 50s, followed by a peak in the early 60s, and then regression toward the end of the golden age.

Key Points:

• Watch accuracy: has improved over the years, with rapid progress in the early 50s.

• The peak in: watch accuracy was reached in the early 60s.

• The regression in: watch accuracy toward the end of the golden age is notable.

🔗 Resources:

• Original post ↗ - Original tweet
• Watch accuracy ↗ - Article on watch accuracy

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🚀 The Growth of Startups

There's a startup in the current YC batch that's growing at 57% a week. This is an impressive rate of growth, but it's unlikely to be sustainable for long.

Key Points:

• Startup growth: can be rapid, but it's often unsustainable in the long term.

• The 57% weekly: growth rate is impressive, but it's unlikely to be maintained.

• Startups need to: be prepared to scale sustainably.

🔗 Resources:

• Original post ↗ - Original tweet
• Startup growth ↗ - Article on startup growth

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🚀 The Value of High-Quality Content

Really enjoying @WorksInProgMag so far. A rare combination of hard science, social science, tech, academia, and genuinely interesting articles on smart topics.

Key Points:

• High-quality content: is essential for engaging audiences.

• A rare combination: of hard science, social science, tech, and academia is valuable.

• Genuinely interesting articles: on smart topics are in demand.

🔗 Resources:

• Original post ↗ - Original tweet
• WorksInProgMag ↗ - Magazine on science, tech, and academia

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🚀 The Vulnerability of Age Verification Systems

This was always going to happen to age verification systems. It wasn't even so much of a prediction as it was an inevitability. The second half of this is tying actual web usage to real-world ID, and breaches will give us that too, soon.

Key Points:

• Age verification systems: are vulnerable to breaches and exploitation.

• The intersection of: web usage and real-world ID is a critical area of concern.

• Breaches: will continue to expose vulnerabilities in age verification systems.

🔗 Resources:

• Original post ↗ - Original tweet
• Age verification ↗ - Article on age verification

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