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Understanding the world of AI
Future of AI
Learning Outcome
5
Decide which method to use & when
4
Use Array Destructuring for clean code
3
Apply Rest & Spread operators confidently
2
Use map(), filter(), reduce() effectively
1
Differentiate between Narrow AI and Artificial General Intelligence (AGI).
The Generative AI Breakthrough
What Generative AI Can Do ?
- Assist in problem-solving and automation
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Create content (text, code, images, designs)
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Generate ideas and solutions
Current Limitation
Works only when prompted
Short-term context (limited memory)
Acts like a smart tool, not an independent thinker
We are moving from AI as a tool to AI as a teammate.
The Hook
We all know "Jarvis" from Iron Man
The Current Reality:
Today(GenAI):
Tomorrow (Future AI):
Transition from GenAI to Future AI
So what changed?
The Path to AGI
Narrow AI (ANI): What we have now. Super-human at one thing (Chess, Protein Folding), but fails at everything else.
Artificial General Intelligence (AGI): The "Holy Grail."
- An AI that can learn any intellectual task that a human can.
- It can reason, plan, have common sense, and transfer learning from one domain to another (e.g., learning to drive helps it learn to navigate a warehouse).
Nobody knows exactly when it will happen, but everyone is already working hard to make it happen.
Autonomous Agents
- Instead of just predicting text, the AI has access to tools (Browsers, APIs, Email).
- It can "chain" thoughts: Plan $\rightarrow$ Execute $\rightarrow$ Observe Result $\rightarrow$ Correct Error $\rightarrow$ Finish.
- Impact: Your computer becomes a proactive employee, not just a calculator.
The "Big Three" Future Trends
Multimodal Fluency:
AI won't just "read" text.📄 It will "watch" video▶️, "listen" to audio🎧, and "feel" sensor data simultaneously🌡️, just like a human brain🧠.
Embodied AI (Robotics):
Taking the brain of a GenAI model🧠and putting it into a robot body🤖 (e.g., Tesla Optimus).
Personalized Intelligence:
An AI that knows you🤖your history, your learning style, your business📊and stays with you privately🔒(running on your device, not the cloud).
The Ethical Frontier: The "Alignment Problem"
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The Challenge: How do we ensure super-intelligent systems have goals that align with human values?
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The Paperclip Maximizer Paradox:
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If you tell a super-AI to "maximize paperclip production," it might destroy the world to turn everything into paperclips.
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Real-World Issues:
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Deepfakes: The end of "seeing is believing."
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Bias: If future AI learns from our past history, will it repeat our past prejudices?
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Job Displacement: The need for "Reskilling" rather than "Replacing."
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The Human-AI "Centaur"
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The Winning Formula:
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It is not Human vs. AI.
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It is Human + AI > Human Alone.
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In chess, a "Centaur" (Human player + AI assistant) can beat the best Human and the best AI computer.
The most valuable skill won't be "knowing facts," but "orchestrating intelligence."
Summary
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Shared Responsibility: AI’s future depends on how we use it.
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Human Control: Humans stay in charge of decisions.
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Alignment Challenge: Ensure AI works for human benefit.
2
AGI Vision: Build AI that thinks and adapts like humans.
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Agentic Future: AI will act and complete tasks, not just answer questions.
Quiz
What does the term "Alignment Problem" refer to in the context of the future of AI?
A. Aligning images perfectly in computer vision.
B. Aligning AI with human values and safety.
C. Aligning data columns for machine learning.
D. Making sure all AI robots walk in a straight line.
Quiz
What does the term "Alignment Problem" refer to in the context of the future of AI?
A. Aligning images perfectly in computer vision.
B. Aligning AI with human values and safety.
C. Aligning data columns for machine learning.
D. Making sure all AI robots walk in a straight line.
Artificial Intelligence- Future of AI
By Content ITV
