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Скачать или смотреть Is AI The End of Software Engineers? Future of AGI

  • Jean Lee
  • 2025-08-21
  • 7150
Is AI The End of Software Engineers? Future of AGI
software engineersoftware engineeringsoftware developercomputer scienceAGI explainedWhat is AGIArtificial general intelligenceAGI vs AIAGI risksAGI dangersAI futureAI safetyAlignment problem AIAI alignment explainedAre we close to AGIAGI timelineAGI debateAGI distraction theoryAI misconceptionsAI mythsAI hype vs realityAI safety guardrailsred teaming AIAI future risksjean leeexaltitude
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Описание к видео Is AI The End of Software Engineers? Future of AGI

Sources:
👉 Supremacy: AI, ChatGPT, and the Race that Will Change the World by Parmy Olson
https://amzn.to/4fq0f2A
👉 The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
https://ml-site.cdn-apple.com/papers/...


What the heck is AGI — and should you be worried? Artificial General Intelligence (AGI) is the idea of AI that can think, learn, and adapt across many tasks like a human. But even the experts can’t agree on what AGI actually means, when it might arrive, or how dangerous it could be.
Let’s break down what AGI is and why definitions keep changing, the big split between “realists” and “doomers” in the AI world, and the alignment problem. Do we really want AI to do exactly what we ask?
We’ll look at whether we’re actually close to AGI or still decades away, and why some say AGI talk is a distraction from today’s real AI problems.
Along the way, we’ll also cover the safety efforts already in motion, like red teaming and guardrails, and what you can do to stay informed about this rapidly evolving technology.
By the end, you’ll know what’s hype, what’s real, and what’s worth worrying about.


⏱️Timestamp:
==============
0:00 – AGI?
03:43 – The Divide
04:56 – The Alignment Problem
06:33 – Are We Even Close?
08:22 – The Distraction Theory
10:26 – Should You Be Worried?


📎 Resources:
==============
✅ FREE AI ML Roadmap Self Study Plan (16-page PDF Guide)
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🚀 Learn to code
========================
Machine Learning Bootcamp: https://links.zerotomastery.io/MLBoot...
TensorFlow for Deep Learning: https://links.zerotomastery.io/Tensor...
PyTorch for Deep Learning: https://links.zerotomastery.io/PyTorc...
Machine Learning Career Path: https://links.zerotomastery.io/MLcare...
Career Path Quiz: https://links.zerotomastery.io/CPQuiz...
All Courses: https://links.zerotomastery.io/Course...


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📣✨Connect with me
========================
💻 LinkedIn:   / jeanklee  
✉️ NEWSLETTER: https://www.exaltitude.io/newsletter
📲 Email for business inquiries: [email protected]
📌 Website: https://www.exaltitude.io/?utm_source...
I give advice for navigating your engineering career journey successfully.


⭐️About me
========================
I’m Jean—an ex-WhatsApp early engineer and Meta manager with over 20 years in tech. I was an early engineer at WhatsApp before its $19B acquisition by Meta, then led engineering teams at Meta, where I experienced firsthand how technology evolves and shapes the world.
Now, I’m on a mission to break down how AI is changing our careers, industries, and the future of work. AI will transform how we work, learn, and live, and many are overwhelmed by what this means—especially those without access or context.
No hype. No jargon. Just real-world insights for navigating AI and what’s next.


Credits
========================
🖼️ All images, graphics, and b-roll videos used in this video were sourced from Canva.

I may earn a small commission for purchases made through affiliate links on this website. This commission comes at no additional cost to you. Your support helps me continue creating content for you.

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