Ex-NASA Scientist's 1980s Trading Tech: 'Every AI Company Is Built On Outdated Rails' | Peter Ashton
From Founder's Story
The discussion explores the distinction between artificial intelligence and mathematical intelligence, highlighting how mathematical intelligence relies on fixed laws governing data for outcomes, while artificial intelligence predicts based on past observations. Peter Ashton, an ex-NASA scientist, emphasizes the importance of this framework in trading technology and the vision behind making wealth-building accessible to a broader audience.
Key Takeaways
- AI predicts possibilities; math dictates certainties. Either way, you end up counting your blessings—or losses.
- AI is flying cars; math is the road map. Which ride suits you best for market predictions?
- From sports to stocks: predicting Tesla’s moves is the new home run in finance.
- 1980s NASA tech in market predictions: vintage is the new black, even for algorithms!
- Time series stacking: It's not Jenga but a clever way to align and time market entries.
Mentioned in This Episode
- Mathematical intelligence (concept)
- Vera AI (Veyra/Vera) (company)
- Data compression (concept)
- Peter Ashton (person)
- Major League Baseball (MLB) (company)
- Fourier transform (concept)
- Quantitative analysis (Quants) (concept)
- chat GPT (company)
- Funimation (company)
- Dragon Ball Z (company)
- Joseph Fourier (person)
- Gemini (company)
- Fast Fourier transform (FFT) (concept)
- Time series (concept)
- Time series stacking (concept)
- Algorithmic trading (concept)