Why You Should Learn AI
TL;DR Learning AI boosts your resume, increases earning potential, and keeps you competitive.
★★★★★
Created: 2022-08-18, Last Update: 2024-05-25
In the video, Dr Michael Pound provides a good introduction to artificial intelligence, machine learning and deep learning. He discusses how each of these three technologies work and the potential applications for each. Dr Pound also provides examples of how these technologies are being used today.
If you are into cybersecurity or any other field, you probably want to learn about AI and ML. They can really help your resume and help you increase the $$$ you earn.
AI just become Sentient? And will it take your job? Or is AI just a fantastic opportunity for you to get a better job? In this interview with Dr Michael Pound we discuss hype vs reality and get a quick start guide on how to learn AI.
Gemini Advanced Video Summary
This video is about artificial intelligence (AI) and machine learning. In the video, David Bombal interviews Dr. Mike, an associate professor at the University of Nottingham who studies computer vision and teaches AI.
One of the main topics covered in the video is the misconception that AI is going to take over people's jobs. Dr. Mike argues that this is unlikely because most AI applications are very specific and require a lot of data to train.
Another topic is a recent news story about a Google engineer who claimed that a large language model (LLM) called Lambda had become sentient. Dr. Mike explains that LLMs are not sentient and can only produce text that is similar to human-written text.
Dr. Mike also talks about the difference between AI and machine learning. He says that AI is a broad term that includes machine learning, which is a specific technique for training computers to learn from data.
Finally, Dr. Mike encourages people to learn more about AI and machine learning, even if they don't have a background in computer science. He says that there are many resources available online, and that even a little bit of learning can be beneficial.
GPT-4o Summary of the Video
The video discusses several key points about artificial intelligence (AI), focusing on a senior Google engineer, Blake Lemoine, who claimed that Google’s AI chatbot, Lambda, had become sentient. Google rejected these claims.
David Bumble hosts the conversation with guest Mike, an academic from Nottingham who specializes in AI and computer vision. Mike explains his journey, starting with videos on security and AI, which gained popularity on YouTube. He emphasizes the importance of learning AI, addressing common concerns about AI taking over jobs. Mike clarifies that current AI, especially large language models like Lambda, are not sentient but are powerful tools for specific tasks.
The discussion covers the differences between AI, machine learning, and deep learning, highlighting the practical applications and limitations of these technologies. Mike advises that AI is excellent for automating repetitive tasks but lacks the general intelligence to perform a wide range of human-like activities.
For those interested in learning AI, Mike suggests starting with Python and utilizing libraries like PyTorch and TensorFlow. He emphasizes the value of hands-on practice and recommends online resources such as Google Colab and courses like Andrew Ng’s machine learning course on Coursera.
Mike concludes by encouraging people of all ages to explore AI, noting that it’s never too late to start learning. He stresses that practical experience and a willingness to learn are more important than formal education in the field.
