Hardware Podcasts

275: Don't Do What the Computer Tells You

Embedded.fm · 25 Jan 2019 · 1h 10m · Episode 275

What this episode covers

Janelle Shane, creator of the AI Weirdness blog and author of the upcoming book 'You Look Like a Thing and I Love You', explains how character-level Recurrent Neural Networks (RNNs) generate surreal and often hilarious outputs like paint colors, ice cream flavors, and cocktails. She details the technical limitations of these models, such as short memory windows and lack of semantic understanding, which lead to nonsensical results like 'raspberry turd' pony names or recipes requiring a blender for 2 hours. Shane also discusses the dangers of algorithmic bias in serious applications, citing Amazon's failed resume screener, and contrasts the limited 'jellyfish-level' intelligence of current AI with the complexity of biological neural networks.

Most relevant to

makers and hobbyists

Topics

Mentioned

Companies
Sherwin Williams, Amazon
Tools
TextGen RNN
Also
AI Weirdness, BigGAN, You Look Like a Thing and I Love You

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