Podcast Notes:

****Sorry for the sound quality. We had technical difficulties, which should be much improved at our next show!****

Hosts:
Colleen, Frankie, and Sal
Guest:
Abbas Fadel, Olympic fencing coach and three-time Olympian

The Data Pulse:

• Can AI Compete with Human Data Scientists?
  OpenAI’s new benchmarking tool, MLE-bench, puts AI capabilities to the test against 75 real-world data science competitions from Kaggle. The tool evaluates AI on more than computational ability, focusing on its capacity for planning, troubleshooting, and innovation in machine learning engineering. With the support of specialized scaffolding, OpenAI’s model achieved medal-worthy performance in 16.9% of cases, although adaptability and creative problem-solving remain challenging for AI.
  (Source: VentureBeat)
• Meta’s AI Model that Evaluates Other Models
  Meta introduces a "Self-Taught Evaluator" AI model that can assess the performance of other models. Using a large language model (LLM-as-a-Judge), it identifies improvement opportunities through an iterative self-improvement scheme. This approach not only refines model accuracy but offers a glimpse into autonomous AI systems that could learn from their own mistakes.
  (Source: MSN)
• YouTube Creators Could Earn from AI Training Data
  Calliope Networks, an AI content licensing startup, proposes a “License to Scrape” program that allows YouTube creators to license their content for AI training. By negotiating a blanket license for large volumes of YouTube content, Calliope aims to make generative AI training more ethical and financially rewarding for creators. If enough creators participate, this could transform the way AI companies access and compensate for training data.
  (Source: Wired.com)

Podcast Description:

In this episode of Cream City Calculations, the hosts welcome Olympic fencing coach Abbas Fadel, who shares how data analytics is transforming the sport of fencing. Coach Fadel, a three-time Olympian, discusses how he uses data-driven insights to analyze competitors' strengths, track movement patterns, and optimize his athletes' training strategies. From identifying critical fencing metrics to customizing strategies for each opponent, he highlights how data provides a winning edge on the Olympic stage.

Tune in to learn how data is not only changing sports but also empowering athletes to perform at their peak!