Sam Altman Profile picture
3 Mar, 6 tweets, 1 min read
Almost everyone starts off extrinsically motivated to some degree.
Basic version: for most people the levels of the video game go money, power (little power as in managing other people, etc), status (and proving yourself), impact (real power), and finally ‘self-actualization’, eg seeing how good you can be and expressing your curiosity.
All the levels always overlap (most people who do great work were never entirely driven by money, at least not for long, and people on the last level still want more status/ impact), but the mix changes a lot over time. The last level is like infinite Tetris, it never stops.
Also, the last level is intrinsically motivated, and it's where it seems people do their best work.
The way that most people screw this up is to pretend that they don’t care about the earlier levels, which almost everyone does to some extent, and often if you play the levels out of order it doesn't go that well. So best to just go through the early ones as fast as you can.
When people who have done great work tell their early stories, there is a lot of revisionist history :) Which isn't helpful for comparing yourself to.

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More from @sama

23 Dec 20
If you want to have the biggest possible impact in tech, I think you should still move to the Bay Area.

The people here, and the network effects caused by that, are worth it.

It's hard to overstate the magic of lots of competent, optimistic people in one place.
The future will certainly be more distributed, but I think that a large fraction of the most important US companies started in the next decade will continue to be within 50 miles of SF.
It's easy to not be in the Bay Area right now, because there's not much to miss out on. As soon as stuff restarts, and the most interesting meetings, dinners, events, and parties are here, I predict FOMO brings a lot of people back fast :)
Read 8 tweets
22 Sep 20
Specific ambition and non-specific ambition look pretty similar on the surface, and it's easy to emulate the wrong one.
Specific ambition, combined with relentless execution, is extremely powerful.

Non-specific ambition leads to a lot of energy and random movement but no forward progress.
Specific ambition means having a very clear vision for where you plan to go, and perfect clarity about the next few steps.
Read 4 tweets
24 Aug 20
Vector theory of impact:
The expected value of your impact on the world is like a vector.

It is defined by two things: direction and magnitude. That’s it.
Direction is what you choose to work on. Almost no one spends enough time thinking about this. A useful framework for this is to think on a long-but-not-too-long timescale (10-20 years seems to work),
Read 9 tweets
1 Aug 20
Giving capital to promising people “too early” in their career is a great idea with much further to go, and the power law provides an interesting way to finance it.
YC is a great example. You can imagine taking that further—giving $25k to the smartest and most determined 100,000 people you can find each year to work on whatever they want, in exchange for the right to invest in their next startup. A country could make the economics work.
Giving 10 years of “tenure” to a group of 20 super promising 22 year old researchers finishing up undergrad is not that expensive relative to the value it would likely create, and there seem like a bunch of ways to capture a part of it.
Read 6 tweets
22 Jul 20
Hi Jerome! It's great to get feedback from someone with so much experience deploying AI at scale.

We share your concern about bias and safety in language models, and it's a big part of why we're starting off with a beta and have safety review before apps can go live.
We think it's important that we can do things like turn off applications that are misusing the API, experiment with new toxicity filters (we just introduced a new one that is on by default), etc.

We don't think we could do this if we just open-sourced the model.
We do not (yet) have a service in production for billions of users, and we want to learn from our own and others' experiences before we do. We totally agree with you on the need to be very thoughtful about the potential negative impact companies like ours can have on the world.
Read 4 tweets
28 Jun 20
Policy suggestion, from @naval: forgive all student debt, and don't allow any more to be issued (i.e. nothing from government and it doesn't survive bankruptcy.)
Higher ed need some forcing function to improve; this would induce rapid change. There have to be better models.

Pay attention to who opposes this, and why.
The current system doesn’t align incentives—it’s too easy to saddle people with huge debt without increasing their income potential.
Read 4 tweets

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