It took a massive financial investment for the first large language models (LLMs) to be created. Did their corporate backers lock these tools away for all but the richest? No. They provided comodity priced API options for using them. Anyone can talk to Chat GPT or Bing. What if you want to go a step beyond that and do something programatic? Kyle explores your options in this episode.
National Popular Vote Interstate Compact
Defending the p-value
Retraction Watch
Crowdsourced Expertise
The Spread of Misinformation Online
Consensus Voting
Voting Mechanisms
False Consensus
Fraud Detection in Real Time
Listener Survey Review
Human Computer Interaction and Online Privacy
Authorship Attribution of Lennon McCartney Songs
GANs Can Be Interpretable
Sentiment Preserving Fake Reviews
Interpretability Practitioners
Facial Recognition Auditing
Robust Fit to Nature
Black Boxes Are Not Required
Robustness to Unforeseen Adversarial Attacks
Estimating the Size of Language Acquisition
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