Of course not. But besides the provocative title, ChatGPT and other LLMs are changing — hopefully improving — our industry. Generative AI is massively (over-) hyped right now but the concept of copilots makes a lot of sense. We are the pilot but can rely on tooling to make our jobs faster and more efficient; like explaining a Kubernetes error message and listing the most common causes and potential solutions. So what is the state of the art of current copilots and what is not yet or soon° to be expected? ° to the best of our current knowledge

1. Will ChatGPT Take Over My Job?
Philipp Krenn
@xeraa

2. @xeraa

3. https://saucelabs.com/resources/report/developers-behaving-badly
@xeraa

4. What is (not) good about ChatGPT?
Or LLMs in general
@xeraa

5. So will it take over my job?
@xeraa

6. @xeraa

7. @xeraa

8. "When summarizing facts, ChatGPT
technology makes things up about 3% of
the time, according to research from a
new start-up. A Google system’s rate
was 27%."
https://www.nytimes.com/2023/11/06/technology/chatbots-hallucination-rates.html
@xeraa

9. Developer
@xeraa

10. AI Assistants / Copilots
@xeraa

11. @xeraa

12. From Manual Discovery...
@xeraa

13. ...to Statistics & ML and...
@xeraa

14. ...ChatGPT (or other LLMs)
@xeraa

15. In Your Language
@xeraa

16. With Function Calling
@xeraa

17. Custom LLM Endpoint
Cloud or On-Prem
@xeraa

18. Finally, AIOps?
@xeraa

19. AIOps == Actionable Insights
@xeraa

20. Using ChatGPT:
conservative vs exploratory
@xeraa

21. Who Answers It Better? An In-Depth Analysis of ChatGPT
and Stack Overflow Answers to Software Engineering
Questions
https://arxiv.org/abs/2308.02312
@xeraa

22. "Our examination revealed that 52% of ChatGPT's answers
contain inaccuracies and 77% are verbose. Nevertheless, users
still prefer ChatGPT's responses 39.34% of the time due to
their comprehensiveness and articulate language style."
@xeraa

23. Conclusion
@xeraa

24. Welcome to our new ChatGPT over-ops
@xeraa

25. Will ChatGPT Take Over My Job?
Philipp Krenn
@xeraa