In fact, I am afraid.
And, behind the screens ?
[OpenAI Used Kenyan Workers on Less Than $2 Per Hour: Exclusive | Time]
And here is an excerpt of a LaMBDA interview
On the flip side it can off better advice than a manager can on how to advance you skills.
This is what I asked as an example:
How can I development my IT skill in investigating IT problem where data analysis might be important to check the logs for clues
There are several ways to develop your IT skills in investigating IT problems, where data analysis is important to check the logs for clues:
- Take a course: Look for online or in-person courses that focus on IT problem-solving and data analysis. These courses can teach you the basics of data analysis, as well as specific techniques and tools for troubleshooting IT problems.
- Read books or articles: There are many books and articles available on IT problem-solving and data analysis. Reading these resources can give you a deeper understanding of the subject and provide you with new ideas and techniques to try.
- Practice on your own: One of the best ways to develop your skills is to practice. Set up a test environment, where you can experiment with different tools and techniques for analyzing log data. The more you practice, the better you will become at identifying patterns and clues in the data.
- Participate in online communities: Join online communities, such as forums or social media groups, where other IT professionals discuss IT problems and share solutions. This will give you access to a wealth of knowledge and experience, and you’ll be able to learn from other professionals who have faced similar problems.
- Get Certified: You can pursue certifications in specific technologies or tools that are commonly used in data analysis, such as Tableau, Excel, etc. These certifications demonstrate that you have a certain level of expertise and can help you stand out in the job market.
- Work on real-world projects: Look for opportunities to work on real-world projects that involve data analysis. This will give you hands-on experience with the tools and techniques you will use in a professional setting.
- Keep learning: The IT field is constantly evolving, so it’s important to keep learning new technologies and techniques. By staying up to date with the latest developments in your field, you’ll be better equipped to troubleshoot IT problems and analyze log data.
By taking the time to develop your IT skills in data analysis and problem-solving, you will be better equipped to identify patterns and clues in log data, which will help you to troubleshoot IT problems more effectively.
!
Give me some example books to read
Here are some examples of books that can help you develop your IT skills in data analysis and problem-solving:
- “Data Science from Scratch” by O’Reilly Media: This book provides a comprehensive introduction to data science, covering the basics of data analysis and statistics, as well as the tools and techniques used in data science.
- “Data Smart: Using Data Science to Transform Information into Insight” by John W. Foreman: This book provides practical, hands-on guidance for using data science techniques to solve real-world business problems. It covers a wide range of topics, including data visualization, data cleaning, and machine learning.
- “Data Analysis with Open Source Tools” by Philipp K. Janert: This book provides a comprehensive introduction to data analysis using open-source tools such as R, Python, and SQL. It covers a wide range of topics, including data visualization, statistics, and machine learning.
- “Data Wrangling with Python” by Jacqueline Kazil and Katharine Jarmul: This book covers the basics of data wrangling and cleaning with Python, including working with different types of data and using popular libraries such as pandas and NumPy.
- “Data-Driven: Creating a Data Culture” by Hilary Mason and DJ Patil: This book provides insights and practical advice on how to build a data-driven culture within an organization. It covers topics such as data governance, data ethics, and data literacy.
- “Data Mining: Practical Machine Learning Tools and Techniques” by Ian H. Witten, Eibe Frank, and Mark A. Hall: This book is a comprehensive introduction to data mining and machine learning, covering a wide range of topics, including supervised and unsupervised learning, data pre-processing, and evaluation.
These books cover different aspect of data analysis and problem-solving and can help you develop your IT skills. They are written for different levels of expertise and provide a wealth of information and techniques for working with data.
Which articles would you recommend which are free on the internet
Here are some examples of free articles on the internet that can help you develop your IT skills in data analysis and problem-solving:
- “A Beginner’s Guide to Data Analysis” by Dataquest: This article provides a comprehensive introduction to data analysis, covering the basics of data exploration, data cleaning, and data visualization.
- “Data Wrangling with Python” by DataCamp: This article provides a detailed introduction to data wrangling and cleaning with Python, including an overview of the pandas library and tips for working with different types of data.
- “Data Analysis with Excel” by Microsoft: This article provides a beginner-friendly introduction to data analysis with Excel, including tips for working with data and using Excel’s built-in data analysis tools.
- “Data Science for Business” by O’Reilly: This article provides an overview of data science and its applications in business, including an introduction to key concepts and techniques.
- “Data Analysis with R” by DataCamp: This article provides a detailed introduction to data analysis with R, including an overview of the R language and popular R libraries for data analysis.
- “Data Analysis with SQL” by Mode: This article provides an introduction to data analysis with SQL, including tips for querying data and using SQL to perform data analysis tasks.
These articles cover different aspect of data analysis and problem-solving and can help you develop your IT skills. They are written for different levels of expertise and provide a wealth of information and techniques for working with data. Many of these websites also offer additional resources such as tutorials, interactive exercises and others, so you can keep expanding your knowledge.
Or ask the AI system for the necessary skills for data analysis, or better still ask the AI to analyze itself or any IT system. If it can write its own codes, it can write its own or any IT repair manual.
No more hook-up to voltage/resistance meters , probing every circuit for continuity. Plug in an AI and within seconds it will give you an entire blue print of the system along with weaknesses or shorts.
AI will surpass humans (its creator) maybe even proving that we don’t exist.
In a similar sense, we used to believe in a creator but we can prove that god cannot exist - even if there is actually a god.
AI might create an entity in another world which will prove that AI doesn’t exist and so on.
[quote=“matioesperante, post:46, topic:10076, full:true”]
AI will surpass humans (its creator) maybe even proving that we don’t exist.
I don’t think that necessarily follows.
In a similar sense, we used to believe in a creator but we can prove that god cannot exist - even if there is actually a god.
There is no evidence of a physical God.
AI might create an entity in another world which will prove that AI doesn’t exist and so on.
I think that is over-reaching the complexity of reality. If anything we should focus on reducing reality to a state so simple that it was “necessary” for some dynamic event to get it all started. I am a firm believer in Occam’s Razor and that there is no such thing as “irreducible complexity”.
I’m thinking about the future reality and how far we can come in the last 100 years since computers were invented and where we are now. There is almost no limit for AI at the rate it going in my opinion. What we see in Star Trek might not be too many generations ahead of us imo.
Ai is an aspect, I am also thinking about a matrix, and a world as the one of "Snow crash ", mixed with 1984 and Aldous Huxley nightmare.
Maybe the nightmare has already begun? and only a small sect of humans can win in the end - we know that. All we can do perhaps is be as conscious as we can of what’s going eventually evolving us into totally self-conscious beings - which has its drawbacks as then you are always more conscious and worried about how you are perceived by others imo which reduces the fun in life.
I’ve not read those novels but there are many films which copy those ideas which we as seeing coming true imo.