I used this video:
Video title: 2017 Personality 21: Biology & Traits: Performance Prediction
Author: Jordan Peterson
Description from the author: “In this lecture, I talk about the thorny problem of predicting performance: academic, industrial, creative and entrepreneurial); about the practical utility of such prediction, in the business and other environments; about the economic value of accurate prediction (in hiring, placement and promotion) -- which is incredibly high.
Intelligence (psychometrically measured IQ) is the best predictor of performance in complex, ever changing environments. Conscientiousness is the (next) best predictor, particularly in the military, in school and in conservative businesses. Agreeable people make better caretakers; disagreeable people, better disciplinarians and negotiators (within reasonable bounds). Open people are artistic, creative and entrepreneurial. Extraverts are good socially. Introverts work well in isolation. People low in neuroticism have higher levels of tolerance for stress (but may be less sensitive to real signs of danger).
Match the career you pursue to your temperament, rather than trying to adjust the latter. Although some adjustment is possible, there are powerful biological determinants of the five personality dimensions and IQ (particularly in environments where differences are allowed to flourish).”
Video URL: https://www.youtube.com/watch?v=Q7GKmznaqsQ
For this case study, I will just extract ~20 minutes of the talk, starting with converting the video into an audio mp3 file. Then, using a transcription tool with the integration of Whisper from OpenAI to convert the transcript from the video into a text format with a very high and trustworthy percentage of quality and re-assurance that the text format does indeed contain the information and intelligence extracted from the video, which if you use a high-quality recording of the voice and messages transmitted, then it can be close to perfect transcription.
After this, we will…. ()
Easy setup with no automations or custom workflows
Start by recording the video on your phone or desktop.
Then, head to “https://online-audio-converter.com” and upload the video. I suggest you use the proper meta tags.
As the goal in this section, is to extract the audio from a video, and it’s a youtube video that’s pre-recorded in close to ideal situations due to the relevancy of the video and it’s social metrics, in this case I used the lowest quality for the transforming of video to audio file mp3.
Once the file is uploaded and converted, you will download the Mp3 file into your computer system.
This next audio file was generated on this previous step:
Then, that audio file will be uploaded into this open-source tool that complies with security… (…)
Embed GitHub which is a Web UI for Open AI Whisper API, with this “
ISC License
Copyright (c) 2023 Felix Bade
Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.
“ and “the API key is only sent to Open AI directly. It is saved to your browser's localStorage.”
Using Whisper, I got this transcribed text:
Now I will order the text and structure it accordingly with a little bit of context:
Writing this AI Prompt:
Hi, please help me structure and organize the [video transcript] from: “Video title: “2017 Personality 21: Biology & Traits: Performance Prediction”,
Author: “Jordan Peterson”,
Description from the author: “In this lecture, I talk about the thorny problem of predicting performance: academic, industrial, creative and entrepreneurial); about the practical utility of such prediction, in the business and other environments; about the economic value of accurate prediction (in hiring, placement and promotion) -- which is incredibly high.
Intelligence (psychometrically measured IQ) is the best predictor of performance in complex, ever changing environments. Conscientiousness is the (next) best predictor, particularly in the military, in school and in conservative businesses. Agreeable people make better caretakers; disagreeable people, better disciplinarians and negotiators (within reasonable bounds). Open people are artistic, creative and entrepreneurial. Extraverts are good socially. Introverts work well in isolation. People low in neuroticism have higher levels of tolerance for stress (but may be less sensitive to real signs of danger).
Match the career you pursue to your temperament, rather than trying to adjust the latter. Although some adjustment is possible, there are powerful biological determinants of the five personality dimensions and IQ (particularly in environments where differences are allowed to flourish).”.”.
The [video transcript] is: “Transcribing a section of a youtube video and then use that inside an AI Prompt - Transcribed text ”.
In this scenario, Chat-GPT4 responded with:
“Here's an organized breakdown of the main ideas and sections:
1. Introduction to Predicting Performance
- Academic, Industrial, Creative, and Entrepreneurial Performance: The importance of predicting performance in various fields.
- Economic Value: The high value of accurate prediction in hiring, placement, and promotion.
2. Personality Traits and Performance
- Intelligence (IQ): Best predictor in complex environments.
- Conscientiousness: Next best predictor, especially in military, school, and conservative businesses.
- Agreeableness: Better caretakers.
- Disagreeableness: Better disciplinarians and negotiators.
- Openness: Artistic, creative, and entrepreneurial traits.
- Extraversion: Social skills.
- Introversion: Working well in isolation.
- Neuroticism: Tolerance for stress.
3. Matching Career with Temperament
- Biological Determinants: Emphasizing the importance of matching career with personality rather than adjusting personality.
4. Ethical Considerations in Hiring
- Fair Chance vs. Proper Placement: The ethical dilemma in hiring.
- Quasi-Random Approach: Example of Holland's open admission policy in universities.
- Failure Rate and Wasted Resources: The downside of open admission.
- Predicting Success and Failure: The utility of predicting the probability of success in various domains.
5. Practical Utility of Prediction
- Managerial Selection: The complexity of selecting managers and the high failure rate.
- Ethical Compulsion to Use Effective Methods: The legal requirement to use valid, reliable, and non-discriminatory selection processes.
- Unstructured Interviews: The pitfalls and low predictive validity of unstructured interviews.
- Conscientiousness and Managerial Productivity: The correlation and effect size.
6. Binomial Effect Size Display
- Understanding Correlations: Explanation of the binomial effect size display and its usefulness in understanding statistical prediction.
7. Economic Utility of Prediction
- Productive Output Differences: The economic benefit of even small increments in prediction.
- Profit as a Proxy for Productivity: The challenges and complexities of measuring productivity.
8. Real-World Application of Lab-Derived Measures
- Marketing and Selling Tests: The challenges of selling accurate tests, including the inverse relationship between accuracy and marketability.
- Myers-Briggs Popularity: The popularity of non-predictive tests due to their non-threatening nature.
- Statistical Reasoning Challenges: The difficulty people have in understanding statistical concepts like percentiles.
9. Conclusion
- Summary of Key Points: Reiteration of the importance of prediction, the ethical dilemmas involved, and the practical challenges in implementing predictive measures.”
From here on, I could ask him several questions to transform this ideas and text, into new idea structures… Which would enable…