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Exciting to see folks talking about Yann LeCun's Energy Based Models again! Here is a mini-master class from Dr. Jeff Beck on our recent show. Also: - PCA throws away low variance data, but in brains, low variance often holds the most important signals - Did the complex combinatorics...

20,901 просмотров • 6 месяцев назад •via X (Twitter)

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So getting a lot of questions on how the pre sale will work for the Prediction market DAO. It will be invite only at first, we are raising a low amount of SOL, and giving away a LOW amount of tokens. Once it is filled it's filled. The starting FDV will be LOW float, and LOW FDV. So it's easier for price discovery to happen. There will be a tax auction so snipers wont be able to fuk it. it will be starting at 99%, and then ticking down. If you use our Ui (wen. rich)it will warn you. This stops snipers from messing with snapping up supply, and ill probs add some personal money into the LP to manage it a bit during the dutch-tax-auction. 80% of raised funds will go to the DAO's for trading. and the other 20% will go to the LP. None goes to us. We will not sell tokens. We will make money on the volume, and fees. Tokens earned from us LPing will be burned. I want to do it with a low fdv so people can get in early and participate, but I did a pre sale to reward people who have been testing WenRich ( our trading/launching platform). Once you are invited you can "gamble for allo" as show in the video. To pvp other pre sellers. You can also just deposit for even money. Its optional, but will be experimenting more with this "gamble to get in" feature in the future. See video for more info. there is also going to be a referral link , for invited people to invite others to the pre sale, and there is a small amount of tokens set aside to reward the top refer's. its based off the amount of $$ the people to refer deposit. more $ deposited, better rewards. Easy. I think you guys will like this take on pre-sales. We are going to be experimenting more so feedback is appreciated.

Skely

27,791 просмотров • 7 месяцев назад

New PNAS paper. Historical GDP per capita data is scarce, but data on the places of birth, death, and occupations of famous individuals is abundant. In this paper we estimate the historical GDP per capita of hundreds of regions in Europe and North America using a machine learning model that leveraged data on about 500k famous biographies. Our estimates more-or-less quadruple the availability of historical GDP per capita estimates for the last 700 years. So why use biographies to augment historical GDP per capita data? Biographical data contains information about people who might have contributed directly to economic growth, like James Watt, or that were attracted to wealthy places looking for patrons, like Michelangelo. So we--mainly Philipp (Philipp Koch)--used this data to construct hundreds of features describing each European region. Then, we trained a machine learning model to find the features that explained most of the variance in a cross-validation test, where we split regions multiple times into a training set and a test set. On average, the model explained about 90% of the variance in GDP per capita of the regions it had not seen during training. But we wanted to go further, and Philipp really went to town by looking at different ways to validate our estimates. We found our estimates correlate positively with historical measures of wellbeing, church building activity, urbanization, and body height. We also used these measures to reproduce the basic Atlantic trade result of Acemoglu, Johnson, and Robison and to explore the economic consequences of the famous Lisbon earthquake of 1755. But what I personally loved most about this project, other than working with Philipp Koch and V, is that it shows that we can use machine learning methods not only to explore the future, but the past. There is a bright and growing future in the use of machine learning for economic history. Hope you enjoy the paper and the data. You can find links to the paper and a data exploration tool in the first comment.

César A. Hidalgo

54,332 просмотров • 1 год назад

Grand Decorations, but Zero Research? Why Are We Naming Kids Based on Instagram Reels! Actually, if you sit and think about it, it’s quite funny and a bit sad how we’ve started picking names for our children these days. In a country like Bharat, where we have such a massive treasure of names, we are somehow running after "trending" sounds we find on social media. Did you know that in our traditions whether it is Sanatan, Buddhist, Jain, or Sikh every single name is chosen with a "mangal kamna" (a good wish) for the child? We have the Shatnam (100 names), Sahastranam (1,000 names), and even the Ayutnam (10,000 names) for our deities. For example, Lord Shiv has a collection of 10,000 names, and Radha Devi has the Ashtadash-Shatnam with 1,800 beautiful names. You can find hundreds of these collections just on websites like Sanskrit Documents. But look at what’s happening now. Even highly educated people folks coming out of IIT Delhi or top IIMs are picking names like "Reeyan" just because they saw it on an Instagram reel. We are ready to spend thousands on a grand naming ceremony, give a heavy "dakshina" to the pandit, hire the best photographers, and decorate the whole house. But when it comes to the most important part the name itself we won't even spend 300-400 rupees to buy a proper dictionary or take five minutes to research the actual meaning. It feels like we’ve become so busy with the "show-off" part that we’ve completely ignored the depth of our culture. A name is a life-long identity, not a 15-second trend. What do you think? Have we really lost our connection to our roots just to look "cool" online?

Arpit

16,747 просмотров • 7 месяцев назад

WATCH: Jason Rantz on Seattle Red responding on 'CNN NewsNight' to a second ICE-involved shooting in Minneapolis.... "ICE tonight went after someone in a targeted act b/c not only were they in this country illegally, but presumably there was also a crime that was committed. That ICE agent was attacked. This is not terrorizing the community. This is, in fact, precisely what it is that most people usually at this table has also conceded is kind of important where you don't want to just go around and randomly ask people for papers. You compare that to the gestapo, but now you're saying that going after someone who is a criminal, that somehow is hands off, we shouldn't be doing that. And that doesn't make a community safer by going after criminals." "And at the exact same time, we've got the ICE agent not only being attacked allegedly by this individual, but also two people in the neighborhood. Perhaps we should also take just a moment, pause and say, you shouldn't do that. That is wrong. That is a quick way to get injured yourself. We can separate out going after someone who is in this country illegally, who is going about their day, and trying to contribute to our society. Like, I don't think there's an appetite -- I don't have an appetite for that. But I do have an appetite for going after people who are committing crimes here. And this seems to be like the least controversial issue that we should be angry with."

Curtis Houck

66,029 просмотров • 6 месяцев назад