054 | Sunil Godse Teaches You The Biggest Secret Of Successful People: Listening To Your Gut
Bibliographic record
Abstract
How many times have you hesitated in the heat of the moment? You freeze. Your intuition says one thing, but your mind another. Which is right? That's why I'm excited to have Sunil Godse on the show. He's going to teach you the secret to all successful people; How to listen to your gut. Combining a BS in Engineering and an MBA from the University of Western Ontario, Sunil is fascinated with how people rely on their intuition. A TEDx speaker and author of 2 books: "GUT! What it is. How to TRUST it. How to use it," and "Fail Fast Succeed Faster," Sunil is also the creator of the Intuitionology Project providing education and courses that have accumulated over 50,000 students. His mission is very simple - to help people make smarter decisions that are driven by their intuition. Tune in today and listen to Sunil's advice. Not only can he help you discover the subtle signals that ping as before making a bad decision, but he'll provide you actionable advice on how to trust your intuition in any situation you may find yourself in! Want more of Sunil? Find him here: http://www.intuitionology.com/ --- Firebuilders is a scalable way coaches and consultants can keep their clients accountable with daily, personal attention. Visit http://www.firebuilders.io for more info!
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.105 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".