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4h • Tips & Resources💡
What's stopping you from jumping on real practical work?
I just watched an amazing video : The TRUTH About Learning AI in 2026 | Warikoo Careers Hindi
Here are the key points from the video(by gemini):
Learning Shift in 2026 (0:29): A significant change in how people learn and prepare for jobs, with a warning against passive consumption of information.
Passive vs. Active Learning (0:43):
Passive Learning: Involves watching, listening, or reading, often leading to mental numbness and poor retention. This includes traditional schooling, YouTube, short-form content, and AI tools like ChatGPT.
Active Learning: Involves doing and applying knowledge, such as coding, research, building games, writing code, or creating apps.
MIT Study on AI Use (2:28): Research showed that students using ChatGPT for essays had one-third the brain activity of those who didn't. They only retained 17% of the information and struggled to activate their brains for independent thinking afterward.
Cognitive Debt (4:32): The speaker introduces this concept, describing how over-reliance on AI can lead to the brain "giving up" on thinking independently.
Dangers of Passive Learning (5:44): It is addictive due to comfort and perceived measurability (completion rates, certificates), but it doesn't lead to true application or understanding.
Changing Job Market (6:45):
Companies in 2026 prioritize skills and execution over degrees or college names.
They look for candidates who can immediately create value and have practical projects like launched apps or public Git-Hub profiles.
Knowledge is "cheap" because AI provides instant information, but execution is "expensive" because few can do it.
Why Execution is Rare/Expensive (8:20):
Time-Consuming: True application takes months, not hours.
Fear of Failure: People avoid public performance or project launches due to the risk of failure and judgment.
Requires Brainpower: Moving from knowledge to application is hard, involving ambiguity, confusion, and fear.
Approach to Convert Learning into Action (10:13):
Structure: Learning needs a clear logical sequence, unlike scattered free videos.
Friction: Courses should be challenging, forcing the mind to stretch and push.
Feedback: Access to mentors or peers who can provide guidance when stuck.
Recommended Program (11:33): The Professional Certificate Program in Generative AI, Machine Learning, and Intelligent Automation by IHFC (IIT Delhi's Technology Innovation Hub), powered by Simplilearn, is highlighted as an example of a program focusing on real-world projects and practical application.
AI Use in Education (12:51): While 95% of students use AI for homework, most use it to "do their work" rather than "improve their work," leading to outsourcing their thinking.
30-Day Challenge (14:00):
Shift Focus: Ask "Which project should I build?" instead of "Which course should I take?"
Outcome-Focused Learning: Choose a meaningful project (e.g., building an app, analyzing data, creating reports).
Identify Gaps: List what needs to be learned to complete the project.
Fill Gaps: Acquire necessary skills or tools through courses, communities, or friends, always with the project in mind.
Goal: Accomplish the chosen project by the end of 30 days to ensure learning leads to doing and building, not just consuming.
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