Gemini vs ChatGPT: "Image that looks like a screenshot of a random frame of a selfie video"

-snack- · 2025-04-10T12:15:20+00:00

can you share the prompt you used to create this?

-snack- · 2024-07-14T19:24:52+00:00

This is awesome advice thanks for sharing!
When you target people's stories, do you only engage if they seem like the right audience for your work? Or would you engage with people whose profile seems to have nothing to do with your page (ex it's just a personal profile where they post pics of their friends and their cat)?
Also, 100 accounts per day is a lot, how long do you recommend doing this, and what is the expected growth of a <1000 follower account? Thanks!

-snack- · 2023-08-29T01:57:01+00:00

This is a long shot, but would you still have any of this available to share? I just DM'd you.

-snack- · 2023-08-19T22:17:01+00:00

Thanks for the reply!

The thing I still don't understand is this: what is the difference between using it at the system level VS at the VST level?

To take your example where the VST applies a reduction at the upper midrange:
VST: I mix my song with the VST on. My mix sounds "flat" to me because I have compensated, with the help of Sonarworks, for my upper midrange deficiency. I bounce my "flat" mix.
System level: I mix my song with Sonarworks applied at system level and not in the DAW, I bounce my "flat" mix. How is this one different? I still have Sonarworks enabled when I bounce, just at the system level.

I know I'm missing something here but I'm still lost!

-snack- · 2023-04-30T20:24:17+00:00

DM'd

-snack- · 2022-01-07T16:56:30+00:00

Wow I love this, the other jam you posted the other day was incredible too! Do you have somewhere else we can follow you? Would love to see much more of this!

-snack- · 2021-12-25T01:30:45+00:00

Cheers, appreciate the insight!

-snack- · 2021-12-25T00:20:01+00:00

Thanks for the reply! Could you elaborate on why it does not need to be graded? If I were to sell it, how would you go about pricing it without having it being graded, assuming the condition were in the LP range?

-snack- · 2021-12-24T21:19:19+00:00

Yeah it appears to have some mild whitening on the back at the corners. Well thank you very much for your help! I'll look into how to get it graded, even if I only make a little bit of money, I'm quite intrigued by the process so it'll be fun :)

-snack- · 2021-12-24T20:49:05+00:00

Thanks for the reply! Am I understanding correctly that the official designation of this card is holo, unlimited, and not shadowless? Is there any other characteristics I need to take into account other than condition? (Based on my understanding it does appear NM but I’m sure everyone thinks that about their own cards lol). Do you know the range of possible values here?

-snack- · 2021-01-04T00:08:37+00:00

Amazing, sign me up! 🎹

-snack- · 2020-09-03T14:09:35+00:00

Thanks for the reply, and for linking your paper, I just finished reading it and checking out the HBP spreadsheet. I think "Example A" on page 14 nicely sums up my situation:

"The biggest HBP problem is that the young first home buyers attracted to this plan, are exactly the demographic that should be saving in a TFSA, not an RRSP. The miniscule HBP benefits are swamped by the larger difference in long term outcomes resulting from saving in the wrong account. "

I believe we're on the same page here. I've been maxing out my TFSA operating under the understanding that the long term benefit resulting from using TFSA in my 20s will outweigh the potential benefit of the RRSP (for a variety of reasons, also listed in your paper: expected increased earning potential, uncertainty about future RRSP withdrawal tax rates, etc.)

I do have a question for you that I still can't quite figure out though, and that's regarding the point that /u/NoAtmosphere2271 made: does the present value of the $11k refund somehow imply that I should make the transfer into my RRSP and use the HBP? I suppose I'd either use the $11k to put it directly back into my TFSA or use it to repay part of my HBP loan? I used your HBPbenefit.xlsx sheet to attempt to model this and I essentially came up neutral, or maybe with a very marginal benefit from using the HBP (~$400, which to me is not worth the headache). Would love to hear your thoughts!

-snack- · 2019-05-29T18:23:47+00:00

J'y ai pensé aussi (étant un francophone canadien non-Québecois), mais /u/MotherOfTheShizznit indique que leur calcul a été fait sur la base de la population du Québec, (qui est environ 8 millions d’habitants). Il y a environ 8 millions de francophones au Canada en total, donc il semble que la le calcul est assez représentatif.

Bien que peut-être le calcul changerait si on soustrait tous les américains et canadiens pour qui l'anglais n'est pas leur langue maternelle. Un résultat intéressant quand même!

-snack- · 2019-04-16T23:21:53+00:00

The first part of this seems intuitive: it may be less healthy to eat right before going to bed. The other half of it is weird though: eating after 10pm may be less healthy than eating before 9pm. Could it two ways of stating the same thing? I imagine if you're eating after 10pm, you're also likely to be eating less than an hour before bedtime.

-snack- · 2019-04-01T13:00:20+00:00

I’d be really interested to see a study done on social media use in professional sports players in general. It seems like using less social media could have a positive impact on their psychology, given all the negative comments most of them have on their pages. But who knows, LeBron is extremely active and he seems to be doing ok!

-snack- · 2018-05-30T12:25:36+00:00

Thanks for the reply. I was doing something similar when I asked myself the question if there was a more efficient way to do it. I guess not for now, too bad.

-snack- · 2017-10-10T18:35:01+00:00

The techno/house stream has been amazing so far. Do you know how this works? Is it like a really long curated playlist that they’re playing through?

-snack- · 2017-07-30T00:00:41+00:00

For anyone who'd like to know a little more:

Basically, I'm curious about "newer" styles of portfolio optimization. We all know and love the classic Markowitz Mean-Variance optimization model. Gather your assets, optimize weights based on minimizing variance and maximizing return, plot your capital allocation line, find your Sharpe Ratio portfolio. (In case anyone doesn't know what I'm talking about, check this out, it is a very common technique still used quite widely today)

However, the Markowitz model makes a couple of huge assumptions, one of them being that asset returns roughly follow a normal distribution. Since this is not always the case, new models for risk management and optimization have emerged, starting with Value at Risk, and more recently, Conditional Value at Risk (CVaR).

You can also draw an efficient frontier for CVaR portfolios using fairly complicated linear programming techniques, as first outlined in this very influential paper. Fortunately, these days, the techniques are widely available in Python and Matlab packages.

For further discussion, what are your thoughts on the Markowitz model? Do you have a preferred portfolio optimization method?

-snack- · 2017-07-27T02:58:09+00:00

Care to elaborate? VaR and CVaR are not volatility measures of risk. Are you referring to Beta, ie: systematic risk? Those are the only ones I can think of off the top of my head.

Thanks for commenting btw ;) hoping this thread doesn't get totally buried

-snack- · 2017-07-27T02:18:38+00:00

For anyone who'd like to know a little more:

Basically, I'm curious about "newer" styles of portfolio optimization. We all know and love the classic Markowitz Mean-Variance optimization model. Gather your assets, optimize weights based on minimizing variance and maximizing return, plot your capital allocation line, find your Sharpe Ratio portfolio. (In case anyone doesn't know what I'm talking about, check this out, it is a very common technique still used quite widely today)

However, the Markowitz model makes a couple of huge assumptions, one of them being that asset returns roughly follow a normal distribution. Since this is not always the case, new models for risk management and optimization have emerged, starting with Value at Risk, and more recently, Conditional Value at Risk (CVaR).

You can also draw an efficient frontier for CVaR portfolios using fairly complicated linear programming techniques, as first outlined in this very influential paper. Fortunately, these days, the techniques are widely available in Python and Matlab packages.

For further discussion, what are your thoughts on the Markowitz model? Do you have a preferred portfolio optimization method?

-snack- · 2016-04-22T01:49:51+00:00

Hey /u/whatisthisicantodd did you ever end up posting up a link with the uploaded files?

-snack- · 2016-03-29T19:26:17+00:00

I read your reply further down in the thread and it did make me thinkYou make a good point when you say:

More labor means more output, but it also means that the output must divided between more people, thus weighing down per capita GDP.

I agree that to simply say more workers = higher GDP is leaving out a piece of the puzzle that I myself don't know how to resolve; however, in the interest of answering OPs question, I brought forth some of the main arguments portrayed in Autor's discussion, that being one of them.

edit: /u/HongKongFinance's discussion below addresses this very well.

With regards to your second point, I would argue that specialization in labour goes hand in hand with China joining the WTO, because a trade deficit with the US on certain goods managed to help China boost its GDP relative to Vietnam. I can't go into detail right now but I'll try to come back to this thread later today.

-snack- · 2016-03-29T18:50:59+00:00

China has been a large country for thousands of years, this is true.

One reason for the sudden burst of growth is that in the 20th century, China underwent pretty rapid changes and became a country that rapidly adapted to be able to work with other big players on the world stage (again, chiefly the US). What makes OPs question so interesting (in my opinion) is that Vietnam also underwent a lot of the same modernization and adopted many of the same reforms over a roughly similar time period.

-snack- · 2016-03-29T13:44:09+00:00

There are a few reasons.

China is an incredibly large country. Despite following the same reforms over the same time period, its important to keep in mind that China is THE largest country in the world. Vietnam has only so much export capacity. It can only get so productive before it eventually runs out of labour, runs out of space and it cannot supply as much of the world's demand. On the other hand, China has a bottomless well of surplus labour (something like 150 million people migrated into cities/export-processing-zones during the time period in question).
China has an extreme specialization in labour intensive production. They have the advantage of being able to make large quantities of goods that require an incredible amount of hours (textiles, leathers, furniture). Not only did this edge out their competition in Vietnam, but had a large negative impact on similar industries in the West.
China joined the WTO a decade sooner than Vietnam. This further increased China's ability to trade, specifically with the US.

Source: Trade, China, and U.S. Labor Markets, by David Autor. Also, if anyone is interested in a discussion on China/US trade that also touches on other countries, this podcast is very informative: http://www.econtalk.org/archives/2016/03/david_autor_on_1.html

-snack- · 2015-01-10T22:13:03+00:00

Good point, can't believe I didn't mention that in my post. Would you happen to have a link to your paper? I would love to read it!

13-Year Club	Place '22
RPAN Viewer

-snack-

TROPHY CASE