"AI பழசாகிடுச்சு, Engineering படிப்பும் - 6 கேள்வியும்..?" Jayaprakash Gandhi Shocking பேட்டி

Behindwoods O2
13 Jun 202426:31

Summary

TLDRThe transcript from a presentation at PSNA College of Engineering and Technology discusses the rapid evolution of technology, particularly in artificial intelligence and data science. It highlights the importance of adapting to these changes for future job prospects, emphasizing the need for interdisciplinary skills, especially in high-performance computing, and the integration of computer science with core engineering disciplines. The speaker also touches on societal impacts, such as privacy concerns and gender discrimination in technology, urging students to look beyond the syllabus for career success.

Takeaways

  • 🌐 The future of work is expected to be heavily influenced by super computing and artificial intelligence, which will change the nature of jobs available to humans.
  • 📚 The speaker emphasizes the importance of students downloading and comparing syllabi to understand the evolving educational landscape, particularly in computer science and related fields.
  • 💡 There is a call for students to not just focus on their core subjects but to integrate computer skills and learn about high-performance computing, high-throughput computing, and quantum computing.
  • 🔮 The speaker predicts that by 2032, AI will evolve into organized intelligence, suggesting a significant shift in technology and its applications.
  • 🚀 The importance of adopting generative AI is highlighted, indicating a move beyond traditional artificial intelligence to more advanced, creative forms of technology.
  • 🏭 The script mentions a visit to a Toyota factory, illustrating the increasing automation and use of robots in manufacturing, which will impact the job market and the skills required for future employment.
  • 🌍 The speaker points out the potential for a lack of privacy in the future due to advancements in technology, such as super intelligence and data collection methods.
  • 🏫 The script criticizes the lack of awareness and education about high-performance computing in some institutions, suggesting a gap in the current learning systems.
  • 👨‍🏫 The speaker encourages students to learn multiple languages, particularly Japanese, as it is expected to be in high demand in the coming years.
  • 🛠️ There is a strong emphasis on the need for interdisciplinary learning and the integration of computational knowledge with core subjects to succeed in the future job market.
  • 🎓 The final takeaway is that learning beyond the syllabus and acquiring additional skills and certifications will be crucial in determining one's career trajectory and salary.

Q & A

  • What is the future of the job market according to the speaker?

    -The speaker suggests that the job market will be heavily influenced by computer science and artificial intelligence, making it potentially difficult for humans to find jobs without adapting to these technologies.

  • What does the speaker emphasize about the importance of downloading and comparing the syllabus with computer science?

    -The speaker emphasizes that students should download and compare the syllabus to understand the minor differences between various fields and computer science, highlighting the importance of learning about high-performance computing and other advanced computing methods.

  • What is the speaker's view on the development of artificial intelligence?

    -The speaker believes that artificial intelligence has evolved beyond its current state and is moving towards generative and artificial general intelligence, which will have significant implications for the future.

  • Why does the speaker mention the need to learn about high-performance computing (HPC) and high-throughput computing (HTC)?

    -The speaker mentions the need to learn about HPC and HTC because these are emerging fields that will create job opportunities and are integral to the future of technology and industry.

  • What is the speaker's opinion on the integration of computer skills with core branches of engineering?

    -The speaker strongly advocates for the integration of computer skills with core branches of engineering, stating that this will provide a competitive edge and open up more opportunities in the job market.

  • What is the significance of learning a foreign language according to the speaker?

    -The speaker suggests that learning a foreign language, particularly Japanese, will be in high demand in the future, providing additional career opportunities.

  • What does the speaker mean by 'beyond the syllabus' learning?

    -The speaker refers to 'beyond the syllabus' learning as the importance of self-education and gaining knowledge outside of the formal curriculum, which will determine one's career and salary prospects.

  • How does the speaker describe the current state of learning systems in higher education?

    -The speaker criticizes the current state of learning systems, pointing out that even in top engineering colleges, there is a lack of knowledge about high-performance computing among faculty.

  • What is the speaker's view on the importance of learning about emerging technologies like blockchain and financial technology?

    -The speaker views learning about emerging technologies such as blockchain and financial technology as crucial for students to stay relevant and competitive in the future job market.

  • What advice does the speaker give regarding the choice of college and flexibility in subject selection?

    -The speaker advises students to choose colleges that offer a flexible system for subject selection, allowing them to integrate computer science and electronics with their core branches of study.

  • What is the speaker's perspective on the future of privacy in a world with advanced AI and technology?

    -The speaker expresses concern about the future of privacy, suggesting that with the advancement of AI and technology, privacy may become increasingly difficult to maintain.

Outlines

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Mindmap

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Keywords

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Highlights

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Transcripts

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Related Tags
Artificial IntelligenceEducational TrustCareer GuidanceTech TrendsData ScienceSuper ComputingHigh ThroughputQuantum ComputingMultidisciplinaryFuture Industry