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As a seasoned software engineer with two years of experience in the field, I've witnessed firsthand the rapid evolution of technology. ChatGPT, powered by the groundbreaking GPT-3.5 architecture, has certainly been a game-changer. This AI model, developed by OpenAI, has demonstrated impressive language capabilities, making it capable of generating human-like text responses.
The question we're exploring today is whether ChatGPT is a symbol of change, made to revolutionize software engineering practices and make it dead in near time, or whether it's simply another tool in our expansive toolkit. Could it possibly edge out the need for traditional coding and debugging? Could it potentially eliminate specific roles within the industry? Or is it more likely to become an invaluable sidekick, offering on-demand solutions and sparking fresh ideas while leaving the heart of software engineering untouched?
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00:00 Intro
01:31 Past Scenario
03:08 Current Software Scenario
04:27 Ensuring we are ahead of the game
05:58 AI vs Software Engineering
06:41 Importance of Skill
08:43 Tech Bubble Burst
10:51 AI current scenario
11:50 Is DSA Relevant now?
12:50 AI: Friend or Foe?
13:37 Conclusion
14:57 Outro
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