Generative AI
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Fabian Schonholz interviews John Richard, from Startup Ignition, focusing on AI investment
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Fabian Schonholz and Chris Heatherly Summary Fabian Schonholz and Chris Heatherly discussed how AI is revolutionizing the game industry, addressing challenges like the high cost of content creation and accelerating development, particularly in 2D asset generation. They emphasized AI’s role in leveling the playing field for startups, personalizing gameplay, and enabling community-driven content creation through
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While AI/ML models continue to evolve, the next significant challenge is acquiring quality data. When I talk about data quality, I’m not just referring to data that has been cleaned, de-duplicated, network-complete, or validated. I also mean data enriched with metadata that provides the deeper context necessary for effective model training. Unfortunately, there is a
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Does AI have a data problem? Yes, it does. The problem arises in several areas. Legal Companies like OpenAI, Anthropic, Google, and Microsoft are being sued by various parties, including corporations (e.g., The New York Times) and individuals (e.g., Sarah Silverman), for using their content to train AI models and profit from them. An interesting
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AI plays a crucial role in automation. It enables machines and systems to perform tasks that traditionally require human intelligence. It also aids decision-making. Here are some ways AI can help in automation: Overall, AI provides the intelligence and decision-making capabilities needed for automation across diverse tasks and industries. By automating these tasks, AI improves
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I grew up in an “evidence-driven” household. My earliest memories are of my father and me walking around and looking for “evidence” related to whatever we were focusing on at the time. Most of the time, it was Mathematics, particularly geometry. I later formally “learned” about concepts like Fibonacci numbers and spirals, perfect squares; we
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AI Model training requires vast amounts of data which are normally not readily available. As such, generating data sets artificially has become a need and an enterprise in itself. There are many pros and cons to using synthetic data, but let’s start with a definition: “A synthetic data set is any data set that represents
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Today, I want to look at some use cases for AI in the context of a business tool. And as a case in point, I want to highlight the fact that I am using Generative AI tools to write this article. Here are a few areas I want to mention where major efficiencies are brought
Don't Be So Serious 