Dwarkesh Patel
speaker
19,288 appearances
62 recordings
3 series
first heard Feb 2024
last heard 6d ago
Dwarkesh Patel’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 27 in all, peaking in Jun 2026 with 6.
Appearances
I just tell Command the date I'm interested in, and it does the rest.
It takes my current balance and adds whatever invoices will be due by the cutoff.
Then it reviews my last six months of transaction history, so it can subtract out my monthly average expenses along with any scheduled payments.
And if there's anything relevant coming up that's not in Mercury yet, I can just flag it.
Things like, heads up, there's a $12,000 contractor payment that's slated for July.
And that gets included in the final output.
Because this is all happening in chat and every answer has links to the underlying data, I can easily double check commands work.
And once I'm convinced, I can just tell Command, all right, that looks good.
Just transfer the surplus to my personal account.
And it will immediately draft the transfer for me to approve.
Command is live now.
Visit mercury.com slash command to learn more.
Mercury is a fintech company, not an FDIC insured bank.
Banking services provided through Choice Financial Group and Column NA members FDIC.
AI generated responses and suggested actions may vary and are not guaranteed.
OK, all these nerdy comparisons aside, you might ask, why do we even care about sample efficiency?
Is this actually necessary for the labs to achieve the two overarching objectives they have, which are, one, automate white-collar work, and two, automate AI research itself?
The bet that the labs are making with white-collar work is that the common tasks that a software engineer or analyst or accountant needs to do are common.
And as a result, you can bring them into the training distribution quite easily.
If you look at the revenue curves of these labs over the last few months,
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