Generative AI is just the Beginning AI Agents are what Comes next | Daoud Abdel Hadi | TEDxPSUT

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Published 2024-03-20
Navigate the frontier of artificial intelligence, exploring the transformative potential of generative AI and the emerging era of AI agents. I am a Machine Learning Engineer at EastNets, where I'm responsible for introducing and implementing machine learning to tackle the not-so-easy task of combatting financial crimes such as money laundering, terrorist financing, and fraud.

I graduated with both a Bachelors and Masters degree in Artificial Intelligence where I fully immersed myself in all things machine learning, from decision trees to state-of-the-art Deep Neural networks.

I like being able to explain things and dislike being unable to explain something. This is where my field and I fit together perfectly, I get to think of creative and innovative ways to make sense of data for a living and make something useful out of it. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at www.ted.com/tedx
All Comments (21)
  • @robertsinke9211
    This lecture would have amazed me 2 years ago. But after having conversations with Claude 3 the last couple of days, this is a history lecture. Edit: I was wrong and happily stand corrected.
  • @juliocesarsalazargarcia6872
    The audio of this video was super low volume even at the max capaxity of my phone audio. You need to correct that.
  • @mutyaluamballa
    Programmers are so good, they can replace themselves... with code that writes even better code! Who needs job security when you can automate your own job?
  • @kilih.4525
    Where's the personal storytelling that build the essence of Ted talks? I mean. What he's saying is of big importance. However, people can't gasp the exponential development these agents will bring to our society. I'd expect a speaker to share his excitement with the audience by giving them a bridge from what they already know to what's happening when Agents are here.
  • @Cristian-yg4bg
    I'm ready for my AI agent to take over mundane tasks, like deciding which Netflix show to binge.
  • @HisPoem
    Amazing! Thanks for sharing.
  • @schmoab
    Tony Stark was like the richest person in the world. That’s a great avatar of who will benefit most from AI.
  • @ChristopherUtman
    Need to show what is on the screen when he is talking, not the crowd or the speaker 8:26
  • @santoshtavargeri
    With all the buzz around, i am working in Canadian big bank working on java 8, with spring xml and still asking for the logs from the support team 😂
  • @CimolOk-nz5yj
    🎯 Key Takeaways for quick navigation: 00:00 🎓 The journey from AI skepticism to the realization of its transformative potential - Early doubts about AI's ability to fully automate complex tasks, - The paradigm shift with the introduction of large language models like GPT-3. 02:05 🧠 The versatile capabilities of generative AI - Generative AI's proficiency in a wide range of tasks including writing, coding, and pattern recognition, - The shift from AI as specialists to more generalized intelligence. 03:01 ❓ Discussing generative AI's limitations and human intelligence - The imperfections of AI, such as generating incorrect information and struggling with multitasking, - The comparison of AI limitations to human challenges and the broader scope of intelligence beyond knowledge. 04:38 🤖 The concept of AI agents as autonomous problem solvers - Introduction of AI agents capable of end-to-end task automation with minimal human input, - The comparison between human use of tools and agents automating tasks through planning and execution. 06:13 🚀 Real-world applications and the future potential of AI agents - Examples of how AI agents could revolutionize various tasks, from web development to travel planning, - The efficiency and accessibility of agents, highlighting existing applications like Microsoft's Copilot and Shopify's Sidekick. 09:11 🔍 The technical workings and development of AI agents - Detailed explanation of how agents function through a cycle of planning and execution using language models, - Examples of agent frameworks and the current reality of agents in technology. 11:33 ✨ The transformative impact of AI agents on society and industry - The potential societal and industrial revolution through widespread adoption of AI agents, - The role of AI in democratizing skills and lowering barriers to innovation, highlighting the collaborative future between humans and AI. Made with HA
  • @cesarorz
    I am a programmer and although many people said that we are safe, believe me, I am planning to move to other areas of economy like farming. Specially in this days with Devin and know a lot of people all over the world are working really hard to automate everything, I was doing that myself.
  • @VKTBtest
    If the future is full with AI agents which will do, plan, perform, create same way as us, humans - what will all of us actually do in order to get the benefits these agents will provide (for a fee, of course)? If a business can be run only with AI agents with 10 times less the cost, how will this business find customers (together with the rest of most other businesses which will do the same) when 10 time less humans will receive salaries and the unemployed part of us will not be able to pay for all these services that will be happening in an instant...
  • @doc2112
    Please fix the sound level, I have problem of hearing anything while my audio is at max.