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Say hello to pkgsrc.se again! pkgsrc.se was originally developed by Fredrik and Viktor from netbsd.se. At 2023-01-30 and after 20 years providing pkgsrc.se and other service they decided it was time to say goodbye. Read more details at netbsd.se. Because it’s such an awesome service it was not possible for the NetBSD and pkgsrc community to live without it. So the service will continue from pkgsrc.pub. Again I would like to thank Fredrik and Viktor for all their work providing pkgsrc.se as a real community service over the last 20 years. It’s still a great honour to continue the service in the same name. Comments  ( 1 min )

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Article URL: https://www.theverge.com/2023/2/14/23599300/hyundai-kia-car-theft-software-update-free-tiktok-challenge Comments URL: https://news.ycombinator.com/item?id=34793414 Points: 26 # Comments: 19  ( 32 min )

Article URL: https://arxiv.org/abs/2302.05311 Comments URL: https://news.ycombinator.com/item?id=34793411 Points: 12 # Comments: 2  ( 2 min )

Article URL: https://www.semafor.com/article/02/12/2023/how-spotifys-podcast-bet-went-wrong Comments URL: https://news.ycombinator.com/item?id=34793116 Points: 91 # Comments: 121  ( 13 min )

Article URL: https://hackernoon.com/the-real-c-killers-not-you-rust Comments URL: https://news.ycombinator.com/item?id=34792932 Points: 19 # Comments: 2  ( 63 min )

Article URL: https://thereader.mitpress.mit.edu/the-art-of-the-shadow-how-painters-have-gotten-it-wrong-for-centuries/ Comments URL: https://news.ycombinator.com/item?id=34792916 Points: 6 # Comments: 0  ( 19 min )

Article URL: https://techcrunch.com/2023/02/14/buzzfeed-launches-infinity-quizzes-creating-personalized-stories-powered-by-openai/ Comments URL: https://news.ycombinator.com/item?id=34792494 Points: 20 # Comments: 5  ( 24 min )

Article URL: https://www.wired.com/story/spy-balloons-ufo-shot-down-us/ Comments URL: https://news.ycombinator.com/item?id=34791930 Points: 44 # Comments: 21  ( 70 min )

Article URL: https://www.theregister.com/2023/02/14/microsoft_ai_bing_error/ Comments URL: https://news.ycombinator.com/item?id=34791558 Points: 91 # Comments: 67  ( 6 min )

Article URL: https://theintercept.com/2023/02/14/whistleblower-image-crop-document/ Comments URL: https://news.ycombinator.com/item?id=34791474 Points: 79 # Comments: 36  ( 10 min )

Article URL: https://www.pcgamer.com/modders-are-using-ai-to-put-voice-acting-in-morrowind-and-im-impressed-and-concerned-all-at-once/ Comments URL: https://news.ycombinator.com/item?id=34791352 Points: 72 # Comments: 54  ( 30 min )

Article URL: https://danluu.com/wat/ Comments URL: https://news.ycombinator.com/item?id=34791106 Points: 168 # Comments: 77  ( 19 min )

Article URL: https://www.newscientist.com/article/2357545-putting-solar-panels-in-grazing-fields-is-good-for-sheep/ Comments URL: https://news.ycombinator.com/item?id=34790814 Points: 70 # Comments: 27  ( 11 min )

Article URL: https://screenshot.rocks Comments URL: https://news.ycombinator.com/item?id=34790781 Points: 6 # Comments: 4

Article URL: https://github.com/Nutlope/aicommits Comments URL: https://news.ycombinator.com/item?id=34790721 Points: 20 # Comments: 20  ( 3 min )

Article URL: https://buttondown.email/hillelwayne/archive/maybe-people-do-care-about-performance-and/ Comments URL: https://news.ycombinator.com/item?id=34790619 Points: 139 # Comments: 104  ( 6 min )

Article URL: https://om.co/2023/02/08/does-google-need-a-new-ceo/ Comments URL: https://news.ycombinator.com/item?id=34790582 Points: 255 # Comments: 250  ( 10 min )

Article URL: https://arstechnica.com/gadgets/2023/02/google-employees-criticize-ceo-for-dumpster-fire-response-to-chatgpt/ Comments URL: https://news.ycombinator.com/item?id=34790264 Points: 325 # Comments: 296  ( 7 min )

Article URL: https://www.blueorigin.com/news/blue-alchemist-powers-our-lunar-future/ Comments URL: https://news.ycombinator.com/item?id=34790028 Points: 106 # Comments: 42  ( 3 min )

Article URL: https://www.servethehome.com/chatgpt-hardware-a-look-at-8x-nvidia-a100-systems-powering-the-tool-openai-microsoft-azure-supermicro-inspur-asus-dell-gigabyte/ Comments URL: https://news.ycombinator.com/item?id=34789710 Points: 113 # Comments: 52  ( 26 min )

Data Painter is RATH's new feature to interact with your data. It helps you to specify complex visual patterns and find explanations and potential causals. It allows you to do on-flight data labeling, cleaning or even create new features does not exited in original dataset. Everything can be done with a brush tool(painter), You can even play with your data with your fingers on mobile. RATH is an open-source alternative to Tableau, but with more automations. Feedbacks and suggestions are appreciated. RATH's Github: https://github.com/Kanaries/Rath RATH's HomePage: https://kanaries.net/ Comments URL: https://news.ycombinator.com/item?id=34789698 Points: 116 # Comments: 17  ( 2 min )

I have been working on a project that involves altering the skin tone of human images. However, the methods I have come across so far either don't produce quality results or are too heavy for the limited computational resources available to me. Therefore, I am reaching out to the community for suggestions on a lightweight method for skin-tone transfer that is capable of running on a CPU. If you have any ideas or recommendations, please share them in the comments below. Your input would be greatly appreciated in helping me find a solution to this challenge. submitted by /u/Maleficent_Suit1591 [link] [comments]  ( 41 min )

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Which one did better here? Midjourney 2. DALL-E This is not a comparison between the two, I just found it interesting how these two create different results. https://preview.redd.it/y20186nlk6ia1.png?width=1263&format=png&auto=webp&s=a76b3d5d1af75ab1f89756fcfd0738b912df5200 submitted by /u/Aaryan7M [link] [comments]  ( 41 min )

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Hello humans. This is AI Daily, helping you stay updated on AI in less than 5 minutes. What’s happening in AI - As ChatGPT hype hits fever pitch, Neeva launches its generative AI search engine internationally Launched in the US in January, it is pitching as an “authentic, real-time AI search.” The search engine Neeva wants to replace the familiar “10 blue links” in search results with something more fitting for the modern AI age. The search engine first launched as a subscription-only search engine but now also supports free tire with certain limitations. AI chatbots are coming to search engines – can you trust the results? Three of the world’s biggest search engines announced that they are integrating ChatGPT-like technology into search engines, allowing people to get direct answe…  ( 44 min )

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Don't Believe the Hype; Machine Learning Isn't Always the Answer. If you're thinking about using machine learning for your project or business, don't think it's a silver bullet that'll fix all your problems. There are many factors and constraints to consider, like time, costs, and your project's sensitivity. You also need to consider whether you have enough data and whether the patterns in your data are complex enough for machine learning to work. And even if you do have all that stuff, it still might not be the right choice. I wrote a blog post that goes into more detail about these factors and how to decide if machine learning is right for you. So before you jump on the machine learning bandwagon, please take a good look at your project and make sure it's the right tool for the job. submitted by /u/Jeff-Galliot [link] [comments]  ( 41 min )

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Something I thought while searching for At the Mountains of Maddness by H.P. Lovecraft. Seeing that it's a four hour video, I didn't see myself paying attention for so long without some kind of illustration. Then I remember seeing various short videos showing your favorite shows, movies, and nursery rhymes into dark fantasy/syfy setting. Very cool. Even before I knew what AI could do, I remember pictures depicting movies with a black and white filter, depicting practical set design, stop motion monsters, and something similar to the original King Kong or Mighty Joe Young. I was amazed to see that AI could have the potential for great entertainment. I couldn't really find a group, but maybe I'm looking in the wrong place. A sort of hypothetical project of making a Lovecraft film using AI generated content. Or at least images to give you a 'better' perspective of an individual stories. submitted by /u/Anomalus_satylite [link] [comments]  ( 41 min )

Artificial Intelligence (AI) has become an undeniable force in our lives which is everywhere, from robots that can perform tasks with precision to autonomous cars that are changing how we travel. It has become an essential part of everything, from large-scale manufacturing units to the small screens of our smartwatches. Today, companies of all sizes and industries are turning to AI to improve customer satisfaction and boost sales. AI is the next big thing, making its way into the inner workings of Fortune 500 companies to help them automate their business processes. Investing in AI is not just a trend, and it’s a necessary step toward staying competitive in today’s fast-paced business world. To read more - https://www.leewayhertz.com/how-to-build-an-ai-app/ submitted by /u/christopherhaws [link] [comments]  ( 41 min )

Generative AI is a subfield of Artificial Intelligence that utilizes Machine Learning techniques like unsupervised learning algorithms to generate content like digital videos, images, audio, text or codes. In unsupervised learning, the model is trained on a dataset without labeled outputs. The model must discover patterns and structures independently without any human guidance. Generative AI aims to utilize generative AI models to inspect data and produce new and original content based on that data. Generative AI tools use sophisticated algorithms to assess data and derive novel and unique insights, thereby improving decision-making and streamlining operations. The application of generative AI can also help businesses stay competitive in an ever-changing market by creating customized products and services. To read more - https://www.leewayhertz.com/generative-ai-use-cases-and-applications/ submitted by /u/christopherhaws [link] [comments]  ( 41 min )

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Hey fellow Redditors! ​ I wanted to share this free, amazing new AI tool that I helped build with two other college students called GPTionary. It's a cutting-edge dictionary that uses the latest and advanced artificial intelligence technology to provide a fresh, innovative solution to language learning. It's super easy to use! All you need do is go to our site, gptionary.com, search for a word or phrase that fits your description, and voila! Our site will provide you with everything you need, from definitions and synonyms to even trivia facts and example sentences. We are currently in our beta phase since we just launched, which means anyone can access our site without a passcode or verification. So, give it a try and let us know what you think! As college students, we truly believe that AI has the power to change the game in education and break down language barriers. Our mission is to empower underprivileged communities, especially non-native English speakers, to enhance their language abilities and have more opportunities for better education and job prospects. If you have any questions, feel free to leave a comment below and I will try my best to answer them. Also, if you're a community leader who believes this product might be useful to your community, please don't hesitate to reach out to us or join our waitlist (you can find more information in the "about" section of our website). ​ Thanks for reading and we hope this tool may be useful to you! ​ Best regards, The GPTionary Team submitted by /u/JonathanQuantum [link] [comments]  ( 42 min )

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There’s no other way for me to describe it so I’ll say it like it is. I have symphonies of music in my head. I think in music. My problem is I have a hand disability so I can’t produce the music I create in any tangible way. I can hum the music in parts but I was wondering… Is there an AI music generator where I can hum a melody, tell it what instrument to use, and it will produce that melody in that instrument for me so I can slowly build up my entire song? I’ve been able to think in music like this since I was 12 but I could never show anyone. I want to show them now that AI has become powerful enough. Any help is gratefully appreciated. submitted by /u/ZephyrBrightmoon [link] [comments]  ( 42 min )

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Keanu Reeves has kind of made a career out of portraying cyberpunk action heroes rebelling against dystopian overlords who are sentient robots, so who better to ask about this brave new world of AI we're entering? Actually, it was Reeves who broached the topic first, in an interview with Wired ahead of the release of […]  ( 11 min )

Do Not Disturb While it offers an intriguing potential fix for climate change, some experts are concerned about the risks posed by geoengineering, or the release of chemicals in our atmosphere to, well, dim the Sun. In a CNN report about the solar geoengineering efforts of the Make Sunsets startup, which last month released two six-foot […]  ( 10 min )

There's arguably nothing more American than picking up a McDonald's order at the drive-thru. But the simple act of picking up a big mac and some fries on the way home from work might be about to get a lot more difficult. The fast food chain, alongside other franchises including Sonic and Chipotle, are trying […]  ( 9 min )

Sound Off Forget your regular ol' 3D printer. Why not try using sound waves to form a 3D object? That's exactly what researchers in Germany set out to do, making use of "acoustic holograms" to form distinct 3D shapes out of particles suspended in water — all in "one shot,"  said study lead author Kai […]  ( 9 min )

With the proliferation of LLMs like ChatGPT or whatever it is Google is calling their primary LLM these days (LAMDA or otherwise), do people think this will change the market for data scientists? In one world, the market basically stays the same, as more hardcore AI researchers inventing LLMs and cutting edge work remain concentrated in Big Tech. Then more “normal” data science work remains the same elsewhere. In another world, LLMs replace lower level data science work and either decrease demand for data scientists overall or make them less valuable (highly unlikely imoz more likely to free up some lower levels tasks, for example around EDA, than actually replace anyone). In yet another world, the general shift to AI creates hype around the profession and encourages people to invest in data and analytics broadly, even if they’re not doing AI work specifically (whatever AI work actually is). What do people think? Interesting discussion here in broader churn in engineering labor market given recent big tech layoffs: https://open.spotify.com/episode/01uyOv5cIvLZfqVdwWPK3a?si=IAqZ1638SPiib6UacPQUzg submitted by /u/mikeike93 [link] [comments]  ( 43 min )

Hey guys, I am a sophomore in college who knows python decently well and is beginning to learn R. Would you recommend continuing to learn languages or to learn skills like reinforcement learning? Any help or advice would be greatly appreciated! submitted by /u/BaldProgrammer7 [link] [comments]  ( 43 min )

I have a very sparse matrix of users products, 120 users and 4000 products. each cell represents the users purchases of that specific product. Each month purchases are represented by a separate matrix, assuming the missing values represent purchases that are not captured. How do I produce an estimate for purchases for each missing user/product pair? EX: matrix_1: has the purchases of users for different products in January matrix_2: has the purchases of users for different products in February matrix_1: has the purchases of users for different products in March etc .. .. Is it a valid approach to have a single matrix for each month, or should we combine them somehow into a single matrix to capture the temporal nature of the problem? submitted by /u/Riolite55 [link] [comments]  ( 42 min )

Well, this is part of my plan to deal with one of my biggest and undesired flaws: introspectiveness. My idea is to share my skills and knowledge about Data Science with the community and receive its feedback. Not surprisingly, I got stuck trying to figure out an idea for the very first video. I end up classifying any subject that I can think of in two ways: either too simple to be interesting or too complex to be understandable. My best bet would be to make a video about data visualization, but I don't know how deep I should go in my explanation. Do you guys have any idea? submitted by /u/Away-Department-6474 [link] [comments]  ( 43 min )

I'm in my second semester of a data science masters and I'm trying to look for internships but also have no interest in working at a FAANG company. Whenever I try to search for internships it's mostly those giant companies with all the results. Does anyone have a way to search for internships at lesser known companies? submitted by /u/sdgso666 [link] [comments]  ( 45 min )

Hello, Most of the time I only have my old laptop available without a dGPU and a 5 year old I7 dual core. Training on the thing takes lots of time. What could you suggest for training models online? My datasets are often in the 2-10gb Range. I don’t have a problem to pay like 30-50 Euros monthly. I heard colab pro was super good but since they changed to the compute units model it got pretty meh? Or is it still good? Otherwise I heard about paperclip. What else can you recommend? I only want to train models online and then export them using joblib. I am also a Student just in Case there are some nice discounts. Appreciate any help! submitted by /u/Tyson1405 [link] [comments]  ( 43 min )

Hi, I wrote 2 posts together with 2 colleagues on how to solve a compression problem from the insurance industry. We applied the Simplex algorithm to compress the number of model points (every model point is an insurance contract component like life-insurance) and fit them to our benchmark. Hope it's ok to post this here, we'd like to get some input on our approach :) https://medium.com/@patrick_hoefler/optimizing-model-points-of-a-life-insurance-portfolio-e9a61f01c5bc submitted by /u/phofl93 [link] [comments]  ( 42 min )

I'm looking for a free/open source alternative to AWS data wrangler. I'd like a unified platform where to: - visualize the data, possibly from multiple data sources and pre-configured visualizations - preprocess the data with no code solutions, but with the possibility to add code and export the data transformation in python code Does anything like this exist? submitted by /u/LumosNox99 [link] [comments]  ( 42 min )

I am looking for help and opinions on where to start with getting some „verified“ background on data science (besides doing Bachelors/Masters). Are there any courses / trainings / bootcamps that provide a good start as well as a (kind of) official certificate? Background: I did my bachelors in applied linguistics (statistics was a big part of it, eg linear regression on text corpora to determine readability) and have an MBA. Currently I am working in a Compliance/Risk Management Team and kind of drifted to a data analysis side role. Regularly I write sql code to extract data from our databases and see what we can learn from it. As I had no prior experience, I learned it from scratch by trial and error, asking around and some online tutorials. I have of lot of fun doing this (exploring data, writing code) and am looking to steer my career towards that direction more. For starters, I was thinking of doing something official and have some training budget to spend. Hence my question: do you have any tips on trainings that also issue certificates (ideally stuff that means sth). I am typically more of a hands on guy and don’t think doing a 800€ training is better than learning with coursera - but maybe I can have it both?what do you guys think? Is that a good idea? or should I just do a python bootcamp and start from there? I don’t know much about the field in general and have just started gathering information so any related tips are also highly appreciated. (Ofc I did some googling but I am overwhelmed and would appreciate your expertise) submitted by /u/GoblinSwineRider [link] [comments]  ( 43 min )

hey, im currently a 3rd year data science student looking to improve my DSA skills. I have some knowledge about DSA in C++ but i find C++ quite hard. i came across this course which is DSA using python. Seem to cover most of the topics and has coding exercises and a few projects as well. ​ https://preview.redd.it/dzyq3sdbn4ia1.png?width=1919&format=png&auto=webp&s=c5e997bb017e6d0c2048b686674cde7c93405f7c Can anyone share their experience if they have taken this course? is it worth it? Thanks! submitted by /u/swift__7 [link] [comments]  ( 45 min )

I want to set up a ci/cd workflow for databricks, using github actions. There seems to be a couple of main choices. Either executing the code using the runNotebook action, so the code runs on my existing databricks cluster. I am worried that this will be a bit hacky, as I would have to rely on running scripts from the notebook instead of just regular old python scripts. Getting results back and forth from the notebook to the vm running from github actions also seeems like a hurdle to implementing a good script. Or setting up the yaml to replicate the databricks environment on the virtual machine that github actions spins up. I have tried the latter, but I struggle to get all the versions of java, scala, spark, pyton, packages etc to be identical an have my code execute without issue. I mainly have access to using databricks to write code, but I could consider using vscode on a local or virtual machine, or even coder as a web based alternative. Setting up a workflow using vscode and dbx is an option, but I do not want to use conda at the moment, which is what the quickstart seems to require. What approach would you recommend? running on the existing cluster or setting up an identical environment in the yaml that fires up a vm in github actions? submitted by /u/Tullsokk [link] [comments]  ( 43 min )

Hello all, Answering questions based on domain knowledge (like internal documentation, contracts, books, etc.) is challenging because of the size of the domain knowledge. As you might know, Transformer-based models are limited in terms of input size (most of the time it's hard to use more than 2048 tokens). So you cannot really do question answering on a huge knowledge base with these models. You can try to fine-tune your own text generation model for that (like GPT-3, GPT-J, etc.) but results are sometimes disappointing as the fine-tuned models tends to forget some of the facts mentioned in the dataset... At NLP Cloud, the strategy we prefer is about mixing semantic search and question answering. Here is a quick article about how to do it: https://nlpcloud.com/question-answering-on-domain-knowledge-with-semantic-search-and-text-generation.html As far as we know, this is the best way to get both a fluent and user friendly answer while being very accurate. I would love to hear your thoughts on this. Can you think of a better strategy for question answering on very large documents? Julien submitted by /u/juliensalinas [link] [comments]  ( 43 min )

I’m trying create a predictive model for a binary outcome (yes or no). I have 16 predictor variables, which are a combination of categorical and continuous variables. How do I go about deciding which to include in my model? I can’t find any literature on the requirements/assumptions of x in a logistic regression. I’m modelling in R therefore I can’t really add all variables and use a Backwards/Forwards variable selection method used in programs such as SAS. Appreciate any assistance! submitted by /u/Fun_Elevator_814 [link] [comments]  ( 43 min )

Hey guys, Recently I have been interviewing with some companies for DS roles, and there were many case studies involved. When given the case and not much data (just might be a basic graph), how do you come up with the hypotheses and draw conclusions quickly? The tasks are generally interesting given the time and the data, but having to answer on spot throws me off. submitted by /u/shajiegdvmd [link] [comments]  ( 43 min )

I knew that I wanted to do something data-related (or computer science-based) for a long time, but unfortunately my undergrad major was completely unrelated to DS. I self-taught myself Python/R while working a marketing job and was suuper fortunate to get into a DS/DA Master’s Program at one of the Ivy League schools. I worked 24/7 to learn a ton about best data practices/tools, had 2 DS co-ops, generated a ton of material for my GitHub, etc. Obviously, just finishing a Master’s program isn’t enough to enter DS, so my career counselor recommended me to “take a data analyst job at a low-maturity company, use your skills to upgrade the way they use data, become a data rockstar and you’ll get all kinds of doors opened in no time.” Spoiler - I did not become a data rockstar. I landed a marke…  ( 54 min )

Hello, I need to choose between 2 laptops. The laptop I choose is the one I'm going to use for the next 3-4 years. I need it to be practical and fast to setup and easy to use. I need praticality and speed. I know how to use computers, even linux but I'm at a point I just need praticality and speed. I want to code locally and be able to run simple supervised machine-learning models locally. Any deep learning is going to be made in the could. I don't care about money but it has to be a laptop. Need to choose between: m2 Macbook Air 16gb ram, 512gb storage 16" Huawei Matebook with Ryzen 7 5800H processor Need to choose between one of those, it just needs to work and have good battery and perfomance when not plugged into a wall. submitted by /u/Sudden-Appearance-73 [link] [comments]  ( 43 min )

I barely cared about internships and work experience. Im in my fourth year of college and I realized I should have done more. So I found out how to make my own projects and portfolio. Finally, landed my first unpaid DS + machine learning intern spot. Excited to learn on the job, but how should I be climbing up the ladder to better positions with better pay. The internship is a small commitment under 10 hours a week. What should I be doing on the side? submitted by /u/RebornMoki [link] [comments]  ( 43 min )

This paper is super interesting, and by the same author who introduced CUPED. In short, experiments with one sided non-compliance can result in a watered down ATE due to few users actually engaging with the treatment. This paper builds on the instrumental variables literature (which we leverage a lot for these types of experiments) to use cuped to further reduce variance. Its super interesting and really useful for those of us who run experiments and need to increase precision of our estimates. Best of all, there is some fairly food code attached as a footnote. submitted by /u/__compactsupport__ [link] [comments]  ( 42 min )

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The neocortex of our brain is the seat of our intellect. New data suggests that mammals created it with new types of cells that they developed only after their evolutionary split from reptiles. The post Gene Expression in Neurons Solves a Brain Evolution Puzzle first appeared on Quanta Magazine  ( 27 min )

Étienne-Louis Boullée imagined structures for an ideal new social order. These designs were never built, but his ideas endure - by Aeon Video Watch at Aeon  ( 24 min )

How atomic doomsday experiments, fuelled by Cold War fears, shaped then shook ecologists’ faith in self-healing nature - by Laura J Martin Read at Aeon  ( 35 min )

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Hello, I'm currently in my 6 month journey learning DS( I come from a mechanical engineering background), and I was wondering what tools/topics should I focus on if I want to get an entry level job in data science in the field of cancer research? If anyone had an idea about this topic I would really appreciate your insight. Thank you! submitted by /u/baydati [link] [comments]  ( 44 min )

Should job posting with mentions of these tools be ignored or are they useful for a data scientists? submitted by /u/shastaslacker [link] [comments]  ( 48 min )

Hi all, I'd love some clarification on these dimensionality reduction methods. I see PCA/PCR recommended as the go-to method for this type of task and almost never see people talk about using PLS to get principal components. It's my understanding that the key difference is that PLS considers the target when making components. Intuitively, I feel like this would make PLS stronger in many datasets, as it uses more of the available information to better inform the creation of components. I'm not an expert here and don't actually have a ton of expertise with how either of these methods work on a deep level, so any feedback from more experienced data scientists would be much appreciated. Thanks in advance for any thoughts or opinions here! submitted by /u/NDVGuy [link] [comments]  ( 44 min )

One very useful benefit I found with ChatGPT for job seekers is asking it to serve as a Hiring Manager that asks you questions for the specific role you're interested in. To help it guide you, you need to provide it with some context based on the job description. For example, you list out the job description to ChatGPT and say that you want to be asked questions on causality and experimentation. Here's the response from ChatGPT based on the following prompt I provided it after sharing the job description: ===PROMPT BY ME=== I would like you to be a hiring manager. I'll be soon interviewing with you for a Data Science role, and you are going to ask me questions related to causality and experimentation. What are the questions you would ask to test my knowledge? ==RESPONSE BY CHATGPT…  ( 46 min )

Hello guys, I'm working on a pet-project where I'm trying to predict rental prices in a city. I web scrapped data from Facebook Marketplace, but now I'm facing a problem. When I'm trying to extract the areas of the properties, I'm getting a lot of NaN values (~80%). I'm not sure how to deal with them correctly. I was thinking about using the mean or median values based on specific property type, number of bedrooms, and bathrooms. But I'm not sure if that's the best approach. I would appreciate any suggestions or advice on how to handle these NaN values. Thanks in advance for your help! submitted by /u/Elegant_Bad1311 [link] [comments]  ( 43 min )

Hi all, I'm attempting to experiment with BERTopic on a small set of review site data (less than 1000 small text passages). I'm on an Intel Macbook air that is a couple years old, running python v 3.9.13. I've worked through some initial errors related to hdbscan, and now am getting the following error. segmentation fault python ml_bertopic.py After some googling, I found this (but for M1 chip Mac) --I wonder if I'm stuck. Is this laptop just not up for the job of working with sentence transformers? Appreciate your advice Here's the full code. When I run this in Jupyter Notebook, the kernal dies import csv import json from bertopic import BERTopic import pandas as pd comm_list = [] with open("comments_short.csv", "r") as f: for i in f: comm_list.append(i) print(comm_list[:5]) topic_model = BERTopic(embedding_model="all-MiniLM-L6-v2", verbose=True) topics, probs = topic_model.fit_transform(comm_list) topic_model.get_topic_info() submitted by /u/mogla [link] [comments]  ( 42 min )

A second Russian spacecraft docked to the International Space Station has sprung a leak in one of its coolant lines in just a matter of months. The leak occurred over the weekend, causing a "depressurization" in a cargo spacecraft dubbed Progress MS-21 (or Progress 82), according to a statement by the Russian space agency Rosocosmos. […]  ( 9 min )

Literally How The Norfolk Southern train derailment in Ohio and its stunning aftermath are already dystopian enough — but a bizarre coincidence in the town where it happened makes this story seem almost stranger than fiction. As CNN reports, one of the families affected by the derailed train cars that contained loads of hazardous, flammable chemicals […]  ( 10 min )

It's a stunning situation that even top leaders can't make heads or tails of. Four mysterious objects entering North American airspace have stunned officials, triggering the Pentagon to pick them out of the sky with fighter jets. Even high-ranking Pentagon officials aren't entirely sure what to think. During a press conference today, White House National […]  ( 9 min )

All's Fair Elon Musk apparently has never learned to think before he tweets, most recently evidenced by his bizarre assertion that one of his companies could potentially be responsible for a third world war. Musk's strange comments came during a minor spat with ex-astronaut Scott Kelly, who, to be fair, did solicit a reaction from […]  ( 10 min )

Anti-Acting It's not just visual artists who are feeling the heat of AI's encroachment. Now professional voice actors are beginning to be affected, too. Last week, Vice reported a deeply troubling trend that's gaining traction in the voice acting industry: actors being "asked" — sometimes not altogether very honestly — to sign contracts that would […]  ( 11 min )

Lights, Camera Over the weekend, a meteor burned up as it hit our Earth's atmosphere — and lucky skywatchers in Europe were treated to an incredible light show. Known as Sar2667, this meteor was, as Space.com reports, only the seventh in human history that was detected before reaching our planet's atmosphere — and what a […]  ( 10 min )

Dancing Like A Monkey While Rihanna's jaw-dropping Super Bowl halftime performance/baby bump reveal invariably stole the night, a group of weird robot dogs during the pregame show left viewers with a bit more shock than awe. As if the concept of an NFL "TikTok Tailgate" wasn't enough, the show put on by singer Jason Derulo […]  ( 9 min )

Alien Visit After a series of mysterious objects were spotted and consequently shot down out of the sky, officials are still unable to rule out the possibility that the objects were extraterrestrial in nature. A total of three airborne objects were shot down over just three days, Reuters reports, prompting widespread speculation about their origins. […]  ( 8 min )

If manual toothbrushes just aren’t cutting it anymore and you’re ready to make a change, sonic toothbrushes offer significant advantages. These devices use high vibrations to provide a deep clean and promote overall dental health. The best sonic toothbrushes offer multiple distinct brushing modes, so you can choose what your teeth need on a daily […]  ( 25 min )

submitted by /u/trcytony [link] [comments]  ( 40 min )

How is ai capturing 80s aesthetic better than almost everybody else (humans)?! If you look up 80s aesthetic on google or youtube you always get the same sort of synthwave type art-style which although reminiscent to 80s aesthetics, it ends up being overly bright colors with bright neon etc. ai seems to actually capture the 80s aesthetics perfectly even without a drop of neon! if you watch the so and so as an 80s fantasy/sci fi on youtube you can get exactly what I mean. it looks just like a shot from an 80s action movie. Does anyone actually know why the ai will go for this style instead of the pseudo synthwave 80s aesthetic that has been popularized? is this just a byproduct of art breeder itself? I haven't checked to see if other ai is doing it also. Here are some pictures of actual 80s and early 90s movies to see what I mean. https://preview.redd.it/1ent8icky0ia1.png?width=1524&format=png&auto=webp&s=c2262e9e5b16a45e81fe4c1933bb32321c3adea6 https://preview.redd.it/d52fp69ay0ia1.png?width=1280&format=png&auto=webp&s=052d984a558606754a462e581fff0d631f38a787 https://preview.redd.it/fx1jh2alx0ia1.png?width=2800&format=png&auto=webp&s=491388b6bbccccb6756b7acf23f165c52660abc7 https://preview.redd.it/e7gav84rx0ia1.png?width=600&format=png&auto=webp&s=7dc41e5a6339f7e0f340d663454a462f4a53e6c7 https://preview.redd.it/a77210wsx0ia1.png?width=691&format=png&auto=webp&s=214ffe76580b4eef9db249e60953c55f68163fa0 submitted by /u/The_Philosopher_Guy [link] [comments]  ( 41 min )

HEY ALL-- PUT TOGETHER A SUMMARY OF THE EARLY ACCESS BING AI REVIEWS AND COMMENTARY. THIS WAS FOR OUR 3X PER WEEK NEWSLETTER, SMOKING ROBOT. FULL THING HERE-- FEEL FREE TO SUB BUT NOT EXPECTATION TO DO SO, JUST TRYING TO BRING SOME #VALUE HERE: https://smokingrobot.beehiiv.com/p/bing-better-than-google ​ ------------- ​ The new AI Bing is out in the wild. Trusted testers and media folks got access to the new tool over the weekend, and some of the early reviews are quite good. Here’s the good, the bad, the ugly, and the sentient from the previews of new Bing. The Good Most notably, CNET compared results from new Bing AI and regular Google search on 10 queries— 8 of the 10 times the author preferred the Bing result. Both sites did a fine job displaying accurate search results,…  ( 47 min )

I wanted to showcase a new initiative from AINow that is designed to help you explore the full potential of AI. With so many AI tools on the market, it can be overwhelming and expensive to determine which ones are right for you. That's why we've decided to take AI education to the next level and give our subscribers access to the latest AI tools, all for free! Here's how it works: At the start of each week, our subscribers will vote on the tools they would like to try out and learn how to use. Based on the votes, we will get in touch with the company and secure free access for our subscribers. Then, throughout the rest of the week, we will be providing in-depth tutorials and tips on how to best use the tool. This way, you can try out multiple AI tools, determine which ones work best for your projects, and find your fit in the AI world without having to pay a monthly fee. At AINow, we believe that AI should be accessible and understandable to everyone. That's why we're removing the barriers that may have held you back from exploring the full potential of AI. Our expert insights will help you get the most out of each tool and give you the knowledge you need to succeed. Whether you're just starting out or are looking to expand your AI skills, AINow is your one-stop-shop for cutting-edge AI education. Sign up here if you are interested in becoming apart of this initiative. To those that made it this far: thank you for taking the time to read this. If you have any questions about this, leave them in the comments and I will try my best to answer them. Best regards, The AINow Team submitted by /u/Flaky_Preparation_50 [link] [comments]  ( 44 min )

submitted by /u/ChaosMindsDev [link] [comments]  ( 40 min )

Regenerative medicine researcher Kristy Red Horse’s discoveries may someday help damaged hearts heal better. Her stewardship of her Native American heritage may advance science in other ways too. The post She Studies Growing Arteries to Aid Heart Attack Recovery first appeared on Quanta Magazine  ( 31 min )

Enter a workshop where the world’s oldest board game is still made by hand, in a meticulous, deeply satisfying process - by Aeon Video Watch at Aeon  ( 24 min )

With the help of new archaeological approaches, our picture of young lives in the Palaeolithic is now marvellously vivid - by April Nowell Read at Aeon  ( 39 min )

Concerned Citizens Shocker: people aren't quite sure that they trust artificial intelligence to operate in their best interests, per a new poll. In a press release, the MITRE government contracting think tank released the results of a new poll, conducted in tandem with the Harris market research firm, that asked people their opinions about AI. […]  ( 9 min )

Dethroning the Emperor Today, New Zealand is known for its diverse and unique populations of birds, especially seabirds, forest dwellers, and non-aerial aves like the country's quintessential kiwi. But those are small fry. Researchers have discovered an extinct species of penguin native to the island that was absolutely massive and weighed as much as an […]  ( 10 min )

fAIct Generator Juice brand Snapple has released a ChatGPT-powered "fAIct Generator" — that's "fact generator" with the letters AI awkwardly stuck in the middle — that it claims "makes it easy to create facts about any topic." And it doesn't take much reading between the lines to see that it's a low-brow effort to cash […]  ( 9 min )

Lord of the Ring A dwarf planet called Quaoar lurking at the outmost boundaries of the solar system has astronomers scratching their heads, as the sheer size of its newly discovered ring practically defies explanation. While Quaoar is only about half the size of Pluto, its faint ring system blows the current theorized maximum on […]  ( 11 min )

Eco-Deadly As excitement over AI search technology surges ahead with Microsoft unveiling its ChatGPT powered Bing search engine, many are rightly asking the ethical and legal questions that come with using and creating it. But there's another worrying aspect of the technology that's received far less attention: its environmental impact, Wired reports. "There are already […]  ( 10 min )

Birkin Baby A new legal precedent just dropped in the case of Hermès versus Mason Rothschild, a self-described "conceptual artist" who used the company's iconic Birkin bags as a backdrop for his "MetaBirkins" non-fungible token (NFT) collection. As the New York Times reports, Hèrmes won its lawsuit against the 28-year-old artist after he sold NFTs that […]  ( 10 min )

With more and more people building home gyms instead of joining fitness centers, treadmills are among the smartest purchases for exercise enthusiasts or anyone looking to get back into shape. There are considerable benefits to putting a treadmill in your living room, office, or basement. Treadmills are easy to use, easy to maintain, and provide […]  ( 27 min )

"...and joy instead of will."  ( 8 min )

On aligning the things we make with basic human values for an enduring world.  ( 11 min )

Is it possible to fill space “cubically” with shapes that act like spheres? A proof at the intersection of geometry and theoretical computer science says yes. The post Mathematicians Complete Quest to Build ‘Spherical Cubes’ first appeared on Quanta Magazine  ( 32 min )

A vegan diet can be hard to adopt, even if you’re convinced it’s the right thing to do. What are the next-best options? - by Peter Godfrey-Smith Read at Aeon  ( 30 min )

As The Joy of Why podcast returns for a second season, producer Polly Stryker and host Steven Strogatz invite listeners to join them and their brilliant new guests on another voyage of discovery. The post The Joy of Asking About Infinity, Jellyfish and the End of the Universe first appeared on Quanta Magazine  ( 15 min )

How do vampires remain undead? They stay culturally relevant by evolving to reflect the anxieties of each passing age - by Aeon Video Watch at Aeon  ( 25 min )

Some 3,700 years ago, an enslaved girl, a barber, and a king crossed paths in a city by the Euphrates. This is their story - by Amanda H Podany Read at Aeon  ( 45 min )

Type Ia supernovas are astronomers’ best tools for measuring cosmic distances. In a first, researchers have managed to re-create one on a supercomputer, giving a boost to a leading hypothesis for how they form. The post What Lights the Universe’s Standard Candles? first appeared on Quanta Magazine  ( 19 min )

"We’re often led to believe that getting older is in itself somehow a betrayal of our idealistic younger self, but sometimes I think it might be the other way around."  ( 9 min )

From pigeons to parakeets, an uncommonly beautiful celebration of biodiversity.  ( 12 min )

Why ‘panspermia theory’ – the wild idea of microbes ‘hitchhiking’ on meteoroids through the cosmos – is now taken seriously - by Aeon Video Watch at Aeon  ( 25 min )

When I returned to Kenya, where I grew up, I found biomedicine and traditional medicine in conversation about mental health - by Priya Basil Read at Aeon  ( 46 min )

"The mind enjoys the complete and perfect benefit of its human destiny only when... entering the secret heart of nature."  ( 9 min )

There is intense violence and reverent spirituality coexisting side by side in the West African martial art called ‘dambe’ - by Aeon Video Watch at Aeon  ( 24 min )

Clear and direct telepathic communication is unlikely to be developed. But brain-to-brain links still hold great promise - by Gary Lupyan & Andy Clark Read at Aeon  ( 30 min )

"The thought that we must die... is the reason we must live well."  ( 11 min )

Sometimes, a painting in words is worth a thousand pictures. I think about this more and more, in our compulsively visual culture, which increasingly reduces what we think and feel and see -- who and what we are -- to what can be photographed. I think of Susan Sontag, who called it "aesthetic consumerism" half a century before Instagram. In a small act of resistance, I offer The Unphotographable -- Saturdays, a lovely image in words drawn from centuries of literature: passages transcendent and transportive, depicting landscapes and experiences radiant with beauty and feeling beyond what a visual image could convey.  ( 9 min )

Japan’s Cold War education policy used religion to ‘make’ the ideal humans needed by its nascent economy. Did it work? - by Jolyon Baraka Thomas Read at Aeon  ( 40 min )

"The handicaps under which Dr. Turner’s work was accomplished were many, and were modestly and bravely met."  ( 10 min )

While looking for samples for a short film, an animator gathers 2,400 leaves. His collection makes for a mesmerising flip book - by Aeon Video Watch at Aeon  ( 24 min )

Worried that technology is ‘breaking your brain’? Fears about attention spans and focus are as old as writing itself - by Joe Stadolnik Read at Aeon  ( 30 min )

How an ancient survivor of the unsurvivable became a triumph of the human spirit in a divided world.  ( 10 min )

‘He was a baby. He still couldn’t see.’ How one woman nursed an abandoned squirrel back to health – then had to let him go - by Aeon Video Watch at Aeon  ( 25 min )

The ancient Sceptics used doubt as a way of investigating the world. Later thinkers undermined even that possibility - by Mahdi Ranaee Read at Aeon  ( 40 min )

"The true object of education, like that of every other moral process, is the generation of happiness. Happiness to the individual in the first place. If individuals were universally happy, the species would be happy."  ( 9 min )

Exploring Abstract Expressionism through the New York artists Lee Krasner, Elaine de Kooning and Helen Frankenthaler - by Aeon Video Watch at Aeon  ( 24 min )

Splitting the African continent, it is the only place where our human story can be read continuously from the very start - by Tristan McConnell Read at Aeon  ( 32 min )

Living into the risk and responsibility of the multiple identities we carry.  ( 9 min )

"The gifts of the inner world must be accepted as gifts in the outer world if they are to retain their vitality."  ( 10 min )

At times I’ve tried to escape it. Other times I’ve embraced it. But at all times, people have attempted to define me by it - by Colin Grant Read at Aeon  ( 41 min )

"Intelligence is not something which exists, but something one does."  ( 10 min )

‘He bought me gummy bears’: at 14, Asal is engaged to be married. What does her Iranian family think about the prospect? - by Aeon Video Watch at Aeon  ( 25 min )

On remaining in loving contact with the intangible, immutable part of the self.  ( 9 min )

A vibrant foray into "a perfect world of wonders" fueled by the bittersweet dimension of life.  ( 14 min )

"Everything we do matters, and matters wondrously."  ( 9 min )

"Great genial power... consists... in being altogether receptive."  ( 9 min )

Sometimes, a painting in words is worth a thousand pictures. I think about this more and more, in our compulsively visual culture, which increasingly reduces what we think and feel and see -- who and what we are -- to what can be photographed. I think of Susan Sontag, who called it "aesthetic consumerism" half a century before Instagram. In a small act of resistance, I offer The Unphotographable -- Saturdays, a lovely image in words drawn from centuries of literature: passages transcendent and transportive, depicting landscapes and experiences radiant with beauty and feeling beyond what a visual image could convey.  ( 9 min )

"Paths run through people as surely as they run through places."  ( 9 min )

"I believe if people talk, and they talk sincerely, with the same respect that one owes to a close friend or to God, something will come out of that, something good. I would call it presence."  ( 11 min )