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Nathaniel Whittemore

πŸ‘€ Speaker
24919 total appearances
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Appearances Over Time

Podcast Appearances

Overall, they say three frictions define the daily cost of knowledge work.

951.972 View full episode β†’

The first is the cost of finding relevant inputs across, as they put it, sprawling, untransparent systems.

955.375 View full episode β†’

Second is information coordination costs.

960.866 View full episode β†’

And third are approvals and verifications.

963.412 View full episode β†’

In fact, they argue that these frictions are what accounts for the delays between a new technology being introduced and it actually showing up in the productivity statistics.

965.576 View full episode β†’

Knowledge work, they write, is still waiting for its factory redesign.

973.533 View full episode β†’

Previous generations of workplace software lowered the cost of producing intermediate artifacts, but did not reduce the attention required to consume them.

976.738 View full episode β†’

Email made correspondence cheap, then multiplied correspondence.

983.268 View full episode β†’

Docs made drafting cheap, then multiplied drafts and review cycles.

986.253 View full episode β†’

The result is an excess of documents and tools and even scarcer time and attention.

989.378 View full episode β†’

And you might be seeing where they're going with this.

993.365 View full episode β†’

Codex, they write, is that factory redesign.

995.187 View full episode β†’

So what are they seeing in how people are actually using Codex?

998.052 View full episode β†’

First of all, everyone is producing artifacts.

1000.836 View full episode β†’

72% of knowledge workers using Codex are producing some sort of artifact, be it a PDF or a spreadsheet or something else, on a weekly basis.

1003.179 View full episode β†’

Outside of coding and software engineering related tasks, they're also doing research, 41%, data analysis, 27%, as well as implementing what they call business function workflows at 15%.

1010.368 View full episode β†’

Importantly though, people are doing a lot of these at the same time.

1020.08 View full episode β†’

The most consequential shift in behavior, they write,

1022.764 View full episode β†’

is towards parallel tasks.

1025.187 View full episode β†’

Roughly 50% of users now have more than one codex task running simultaneously at some point during the day, up from less than one-third in mid-April.

1026.949 View full episode β†’