Explore @AmbalinaLimarc journey from aspiring novelist to (previously) VP of Editorial at @hackernoon (and now Director of Marketing at @TaskUs
), embracing AI in journalism. His dedication to AI stems from examining its mathematical framework and ethical implications.
@whats_ai
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Ambalina Limarc: From Novelist to AI Journalism Leader
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Industry Experience Rivals Academia for AI Skill Development
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• After talking to a dozen experts in my podcast (
https://
louisbouchard.ai/podcast/), I realized that while academia provided valuable skills, these could be equally gained through industry work, particularly in startups -
Why I Decided to Quit My PhD in AI
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Before we keep going, please take a second to leave a like! This simple click helps my work… a lot. Read more in this week's iteration… I also share who I think a PhD is for. https://
open.substack.com/pub/louisbouch
ard/p/why-i-decided-to-quit-my-phd-in-ai?r=25qlky&utm_campaign=post&utm_medium=web
… #ai #phd #gradschool #artificialintelligence #whatsai -
Dropping Out for Startup Innovation and Entrepreneurial Pursuits
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Here’s why I decided to drop out… • A growing desire to innovate and create independent projects, outside the academic sphere • A strong pull towards entrepreneurship and the high-energy culture of startups
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Bridging Theory and Practice: Accelerating Real-World AI Solutions
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• The need to implement theoretical knowledge in real-world applications with immediate impact • A wish to see ideas transform into tangible solutions more rapidly
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Why I Quit My PhD in Artificial Intelligence
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Good morning fellow AI enthusiast! This week's iteration focuses on my PhD in AI… or rather, why I finally decided to stop it. This is a very important video and decision for me, and it was a challenging one to take. I hope you find the video helpful for your future decisions.
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Tackling AI Hallucinations: Solutions and Insights
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Learn more in this newsletter iteration: https://
louisbouchard.substack.com/p/tackling-ai-
hallucinations
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What’s AI YouTube Podcast Series Demystifies Artificial Intelligence
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Want AI simplified? Dive in with 'What's AI' on YouTube/podcast. Follow now for AI, demystified! 🙂
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Making AI Explainability Accessible to All Users
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Explainability in AI systems poses challenges due to varied user understanding, digital literacy, and cultural perspectives. As AI proponents, we must aim to make AI comprehensible for all.
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AI Hallucinations in Explainable AI: Understanding Confident Inaccurate Predictions
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Explore the enigma of AI hallucinations in Explainable AI (XAI)! Understand why AI models often yield confident yet inaccurate predictions, a phenomenon coined as "AI hallucinations".