/Tech41d ago

Michael I. Jordan says the term AGI functions mainly as a public relations label that confuses early-career researchers and polarizes machine learning discourse between alarmist and exuberant positions

Jordan spoke during a Machine Learning Street Talk podcast interview.

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kache#403

Machine Learning Street Talk@MLStreetTalk#1273inTech

Michael I. Jordan on the new MLST.

Four things:

> AGI is a PR term. It confuses young people.

> Discourse is bipolar, either alarmist or exuberant, this is in his words "so demoralizing" for 20- and 25-year-old researchers.

> ML's methods came from statistics and operations research, NOT the AI tradition.

> Data markets are Stackelberg games, not optimisation problems. A lot of ML researchers have never computed an equilibrium.

Michael I. Jordan is a no-nonsense original gangster of the field and was described by Science magazine, back in 2016 as the most influential living computer scientist.

1:53 AM · May 20, 2026 · 54.1K Views

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Many users resonate with Michael Jordan's claim that AGI is a PR term confusing young researchers because it gives them space to build without hype or safety panic.

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Machine Learning Street Talk@MLStreetTalk

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Matthias Heger ⏩@modelsarereal

@MLStreetTalk some people still believe in Perpetual motion machines or symbolic rule based non-statistical human intelligence

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RETWEETS32

Machine Learning Street Talk@MLStreetTalk

Michael I. Jordan on the new MLST.

Four things:

> AGI is a PR term. It confuses young people.

> Discourse is bipolar, either alarmist or exuberant, this is in his words "so demoralizing" for 20- and 25-year-old researchers.

> ML's methods came from statistics and operations research, NOT the AI tradition.

> Data markets are Stackelberg games, not optimisation problems. A lot of ML researchers have never computed an equilibrium.

Michael I. Jordan is a no-nonsense original gangster of the field and was described by Science magazine, back in 2016 as the most influential living computer scientist.

41d54.1K363323

REPLIES1

Mustafa Akben, PhD@DoktorMoose

@MLStreetTalk Just your intro videos make me excited. The contents are always deep and consequential. I am a big fan of your channel and have learned a lot.

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Machine Learning Street Talk@MLStreetTalk

@DoktorMoose Thank you Mustafa!

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NirSD@nirsd

@MLStreetTalk Why is exuberant discourse demoralizing

41d239

Sahil🎧⚛️@TalkinIdeas

@MLStreetTalk The demoralization point resonates. Young researchers need space to build without being drafted into AGI theater or safety panic.

41d222

BNB Godfather@BNBGodFather

@MLStreetTalk First two points hit.

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