"Sure, LLMs are bad at some things, but you can't deny that they're useful for programming!" Sound familiar? In this week's episode, Emily and Alex break down the key myths around AI-boosted productivity in tech. Plus, Alex previews her work with DAIR's newly launched Luddite Lab, where workers are organizing against automation.

References:

Yale Budget Lab report: "What Might AI Adoption Mean for the Fiscal and Economic Outlook?"
- Also referenced: Karger et al. paper funded by Open Philanthropy
Garry Tan’s gstack
"Karpathy-Inspired Claude Code Guidelines"

Previous MAIHT3k episodes referenced:

Episode 60: Vibe Coding: Four Security Nightmares in a Trenchcoat (with Susanna Cox)
Episode 53: Linguists Versus 'AI' Speech Analysis (with Nicole Holliday)

Fresh AI Hell:

Emotional surveillance at work
DARPA call for proposals on "Decentralized Artificial Intelligence"
CircleCI claims "the promised AI productivity boom isn’t all hype"
Andreessen is at it again
"A data center drained 30M gallons of water unnoticed"
Retraction of pro-edtech paper
Chaser: "Minnesota passes the nation’s first ban on ‘nudification’ apps"

Check out future streams on Twitch. Meanwhile, send us any AI Hell you see.

Find our book The AI Con here, and MAIHT3k merch here.

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Emily

Bluesky: emilymbender.bsky.social
Mastodon: dair-community.social/@EmilyMBender

Alex

Bluesky: alexhanna.bsky.social
Mastodon: dair-community.social/@alex
Twitter: @alexhanna

Music by Toby Menon.
Artwork by Naomi Pleasure-Park.
Production by Ozzy Llinas Goodman.