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DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

The algorithms of today, combined with sufficient data, could automate white-collar work, even if progress stalls.

Video

DP

Is RL + LLMs enough for AGI? – Sholto Douglas & Trenton Bricken

@ Dwarkesh Patel

Is RL + LLMs enough for AGI? – Sholto Douglas & Trenton Bricken

05/23/25

Related Takeaways

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

Even if AI progress stalls, the economic value of automating white-collar work remains significant, provided we have the right data.

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

The rapid advancements in AI tools suggest that we could see significant progress in automating white-collar work within the next few years.

MK

Mike Krieger

05/31/25

@ Hard Fork

The rise of AI tools may lead to a significant reduction in entry-level white-collar jobs, with predictions suggesting that up to 50% could disappear in the next few years.

DP

Dwarkesh Patel Cast

05/23/25

@ Dwarkesh Patel

Countries should proactively prepare for the automation of white-collar work by considering economic impacts and necessary policies.

SA

Sam Altman

08/02/19

@ Khosla Ventures

More than 50% of today's work is repetitive and non-creative, and I am confident that in twenty years, AI will be able to handle all of that work without needing further technological breakthroughs.

KR

Kevin Roose

05/31/25

@ Hard Fork

AI systems are becoming capable of carrying out longer sequences of tasks, which could lead to the displacement of various jobs beyond just software engineering.

PB

Paul Buchheit

08/10/24

@ Y Combinator

By 2033, many Zoom-based jobs could be transparently replaced by AI that learns and mimics human work patterns.

YC

Y Combinator Cast

05/23/25

@ Y Combinator

The true promise of AI lies in automating repetitive tasks, allowing users to offload busy work that doesn't require their full attention.

SC

Sequoia Capital Cast

05/07/25

@ Sequoia Capital

We're entering an abundance era where coding agents will lead the way, raising questions about the quality of AI outputs when labor becomes cheap and plentiful.