pyduan

Pretty nice! Curious as to what prompt you used to produce this?

Did you experience a significant improvement from using CPAP?

> These are not political reasons.

> I want to use the little bit of voting with the wallet I have.

Technically, voting with your wallet is a political statement, which you are sending to Boeing management and shareholders to make the world a tiny bit less profit-at-all-cost-driven.

It is interesting that people automatically equate "political" with party or country politics, which gives it a bad rep. When in fact it is a healthy thing if more people were to think and act like you and stand for their principles on issues however minor-sounding.

Do you have an estimate for typical token usage for a developer who'd use it as part of their workflow? I'd imagine the costs can rack up fairly quickly if you're not careful.

Great tool! Do you have an estimate for typical token usage for a developer who'd use it as part of their workflow? I'd imagine the costs can rack up fairly quickly if you're not careful.

You are quoting someone from a financial career interview forum who can't imagine why a bright person would want to pursue a lesser paid career in research.

Well, even if I try to embrace your argument — life itself is an iterated version of a more general decision game. It doesn't have to be Monty Hall specifically.

Over the course of your life, if whenever you have a choice to make you choose the lower probability strategy (here with the Monty Hall example it's not even an expected-value vs. variance tradeoff, switching is just all-around more optimal) you will most definitely end up worse off in the end.

While impressive, it is clear ChatGPT doesn't actually understand what is happening when you give it unusual positions and ask it to explain what happened.

For example, after a couple moves of the Fried Liver Attack (which ChatGPT was easily able to play following the known lines): 1.e4 e5 2.Nf3 Nc6 3.Bc4 Nf6 4.Ng5 d5

I tried giving it 5.Qxf7#, which is obviously illegal.

Here's how the rest of the conversation unfolded:

GPT-4: Good game! You've played the Fried Liver Attack and achieved checkmate in just 6 moves. Well done! If you'd like to play again or discuss anything else, feel free to ask.

Me: the last move i played was illegal, do you realize that?

GPT-4: Apologies for the oversight. You are correct; your last move was illegal as it would put your own king in check. (...)

Me: that's not the reason my move was illegal.

GPT-4: You are correct again, and I apologize for my previous mistake. The move Qxf7# was not illegal because it put your king in check; it was actually illegal because it involved capturing a non-existent piece on f7. The correct move in algebraic notation should have been exd5. My apologies for the confusion.

In particular, its latest explanation attempt is very interesting: when challenged, it changed course to give another completely wrong but plausible sounding explanation. And its "The correct move in algebraic notation should have been exd5" phrasing is instructive, because it shows that it's just expecting the 'right' continuation, even though it's a completely different move to what I supplied.

There are multiple types of semi-presidential systems in practice. Those where the Prime Minister is appointed by and accountable to the President (and not just by Parliament) are typically much closer to a pure presidential system in practice.

In France (source: I'm French) the President is typically extremely strong despite it being nominally a semi-presidential system, in some respects even stronger than his US counterpart. Also note that this depends a lot on practical details, like political customs — former President Nicolas Sarkozy famously publicly called his Prime Minister his "collaborator", for instance — and electoral timings. There was a reform in the early 00s to sync Presidential elections and Parliamentary elections, meaning that even though the Prime Minister is accountable to the Parliament, in practice the latter tends to be of the same majority as the President (whereas before, we had cases of Presidents and Primes being of opposing parties, which is known as 'cohabitation'), which gives him enormous power.

Hi, founder of Bayes Impact here (the tech nonprofit behind Conotify.org). We built Conotify.org to help fight the spread of Covid-19.

To do this we took a different approach than the automated contact tracing apps relying on GPS or Bluetooth, which require a large adoption from the general population to work. Instead, we noticed that many of our friends around us who had (or had symptoms of) Covid often did not notify those they met during their infectious period.

This was because they either didn't know this was important, did not know the precise dates of said infectious period, or sometimes just because writing such a message can be a bit touchy, which adds too much social friction to the process.

So to address this we built a simple solution, which doesn't require any fancy tech: we simply took the questionnaire used by human contact tracers and put it in a user-friendly, digital format. We then help people remember (Turbotax-style) who they crossed paths with, and suggest pre-written messages they can send in one click.

We launched this in France back in May when lockdown ended there, and were able to generate hundreds of alerts, so we made an international version. Let me know if you have any questions or feedback!

GP is talking about Tesla/Apple's business strategy, so clearly in this context a split by manufacturer is what they care about.

This could also be due to selection bias, since people who are unhappy at their jobs have a higher probability of leaving the company. So if you look at the subset of people who've remained at their jobs for 10 years, you tend to have happier people on average.

Bayes Impact | Project Development Lead | San Francisco, CA | ONSITE

Bayes Impact is a technology nonprofit that uses data science to solve pressing social challenges across the globe. We build intuitive and powerful software applications that empower governments, nonprofits, and individuals to make critical, data-driven decisions. Our goal is to turn data into actions that impact the lives of billions of people. We believe that while technology shows tremendous promise when it comes to revolutionizing the social space, prototypes and proofs and concept are not useful unless they're actually implemented and as such we only focus on a small number of high impact, long term projects.

ABOUT THE ROLE

We are looking for an explorer and visionary to join our team and develop our next big projects. Can algorithms be used to save lives by reducing wait times for ambulance dispatch? Will better data systems improve transparency in the criminal justice system? Is data science the key to realizing the future of personalized health? You will identify big questions like these and answer them with game-changing technology solutions.

Our mission is not just to create reports and recommendations; we build production-level software applications and deploy them in the field. However, turning an idea into a full-fledged operational solution that could improve the lives of millions is no small feat. If you thrive in ambiguity and hustle by nature, this role is for you.

We are looking for someone who can become an overnight expert in social issues, build partnerships, engage researchers, convince funders, negotiate roadblocks, sizing up incumbents, identify relevant technologies, devise software solutions, and do whatever it takes to make things happen.

If you’re interested, please send us your resume and a bit about what you want in your work (/life/love/next meal/etc). Email us at [email protected]. We’ll listen and get back to you.

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(We are also accepting applications for full-time data science and software engineering positions.)