The Game of Thrones star was photographed kissing British aristocrat Peregrine Pearson during a Parisian outing.

Sophie Turner Kisses Aristocrat Peregrine Pearson Amid Joe Jonas Split

Here’s your morning rewind for the Wednesday, Nov. 1, edition of Global News Morning Saskatoon. It’s a long-standing tradition in Saskatoon and it promises to be a very special event this year. The 69th annual Silver Plate Dinner is set to go on Nov. 7 at TCU Place.

Saskatoon morning news rewind: Wednesday, Nov. 1

The three senior talents featured in this PGT Rewind episode truly stole our hearts with their performances on Pilipinas Got Talent.

PGT Rewind: Top 3 scene-stealing performances of senior talents that prove age is just a number

Founded in 1894 and officially chartered in 1907, the Rod and Gun Club's mission was to promote fishing, hunting, and other outdoor sports.

Valley Rewind: Black Mountain Rod and Gun Club, 1937

If not for Penn State perfectly timing a blocked field goal against Ohio State seven years ago, the series between the Big Ten East powerhouses might be seen in a different light. After all, for all the instant classics produced, the results have largely ...

Sunday Rewind: Ohio State 20, Penn State 12

In our CBS 6 Rewind, we take you back to a nearly 100-year community favorite local department store, The Carl Company.

CBS 6 Rewind: The Carl Company's 95-year legacy in Schenectady

When Kelly Florence and Meg Hafdahl first met, they immediately bonded over their shared love of all things horror. So, seven years ago, the pair decided to start a podcast called Horror Rewind, which has become a huge success.

Knowing Your Neighbor: Horror Rewind

MFL MarMac’s football team lost in last season’s Class 1A state playoff quarterfinals to West Branch, 27-24, blowing an 11-point lead in the fourth quarter. That made Friday night’s 21-0 win in a 1A second-round game extra special.

Iowa high school football playoff rewind: MFL MarMac exacts revenge on West Branch

Check out some of these amazing photos of the Purdue University Lady Boilermakers ahead of the 2023-24 basketball season! The Purdue University Lady Boilermakers’ next game is against UCLA on Nov. 6. This gallery was compiled by Multi-Media Staff Writer ...

Recorder Rewind: Purdue University Lady Boilermakers

Here’s your morning rewind for the Tuesday, Oct. 31, edition of Global News Morning Saskatoon. Songs inspired by Oct. 31 are a big part of what makes Halloween special. From Monster Mash to Michael Jackson’s Thriller, there is no shortage of songs to get people in the Halloween spirit.

Saskatoon morning news rewind: Tuesday, Oct. 31

Rewind

rewind

The 2021 AI Rewind: HackerNoon Edition

This video shows a curated list of the with a , , and . The videos include great commentary on the future of AI by many important people in the field such as Fei-Fei Li, Luis Lamb, Gary Marcus, and more. latest breakthroughs in AI by release date clear video explanation link to a more in-depth article code Enjoy the video! Chapters: Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff in 2021, I promise. 0:00 2020, A year in review 0:28 Where do you want AI to go? 9:06 References: Complete article: https://github.com/louisfb01/Best_AI_paper_2020 GitHub repo: https://github.com/louisfb01/Best_AI_paper_2020 Follow me for more AI content: Instagram: https://www.instagram.com/whats_ai/ LinkedIn: https://www.linkedin.com/in/whats-ai/ Twitter: https://twitter.com/Whats_AI Facebook: https://www.facebook.com/whats.artifi... Medium: https://medium.com/@whats_ai Youtube: https://www.youtube.com/channel/UCUzGQrN-lyyc0BWTYoJM_Sg/join Video Transcript 00:00 where do you want ai to go what what 00:02 would make you happy 00:03 what is the objective here the objective 00:05 function for those of us who are 00:06 building ai 00:08 um or trying to inform it from other 00:10 fields 00:11 what would count in success where do you 00:12 want to take it to 00:17 [Music] 00:50 [Music] 00:57 [Music] 01:18 [Music] 01:43 [Music] 01:54 [Music] 02:39 [Music] 03:24 [Music] 03:30 [Music] 03:51 [Music] 04:16 [Music] 04:29 [Music] 04:50 but it's a trick no no it's much more 04:52 than that uh whosoever be he were they 04:54 shall have the power 04:57 whatever man it's a trick please be my 05:00 guest 05:02 come on really yeah oh this is gonna be 05:05 beautiful clint you've had a tough week 05:07 we won't hold it against you if you 05:08 can't get it up you may have seen this 05:10 before 05:10 right yeah all right 05:39 [Music] 06:24 [Music] 06:30 [Music] 06:51 [Music] 07:16 [Music] 07:27 [Music] 08:13 [Music] 08:17 researchers and artists around the world 08:19 have been using style game 2 to do all 08:20 kinds of interesting work 08:22 at nvidia we've been pushing the 08:23 frontier of using gans to synthesize 08:25 extremely realistic images 08:28 the catch is that you need to train them 08:30 on extremely large quantities of data 08:32 so to tackle this challenge we've 08:33 invented a new approach for stylegan 2 08:35 that we call adaptive discriminator 08:37 augmentation or ada 08:38 this lets us reduce the number of 08:40 training images by a factor of 10 a 08:42 factor of 20 or more while still getting 08:44 great results 08:56 [Music] 09:06 as a scientist i want to 09:10 push the scientific knowledge and 09:12 principles of 09:13 ai further and further and the first 09:15 thing is start with 09:17 some really fundamental laws and 09:21 principles of 09:22 ai i keep saying that i still feel our 09:24 ai 09:25 era is pre-newtonian physics that we are 09:28 still studying phenomenology 09:30 and engineering but there is going to be 09:34 a moment 09:34 or a set of moments where we're starting 09:37 to understand 09:38 the principles of intelligence and that 09:41 is 09:42 the scientists in me we're in the head 09:45 of a citizen i guess 09:47 and directing stanford's human center ai 09:51 institute 09:52 i want this to be a technology that can 09:55 an idealistic way really better human 09:58 conditions 09:58 right it's so profound it's so 10:02 horizontal 10:03 it's so um it has so much human and 10:07 societal impact 10:10 it can be very very bad and can be very 10:12 very good 10:13 so there i would like to see a 10:16 framework of this technology being 10:19 developed and deployed 10:21 in the most benevolent way 10:25 what comes to mind very often so i hang 10:27 out because of the family i'm born into 10:30 with people who work at state 10:32 departments who deal with international 10:34 laws military laws etc 10:36 and there's a there's a there's a big 10:38 concern here with militarization of ai 10:40 right 10:41 danny just mentioned human decision 10:43 making humans in the loop why people are 10:45 trying to negotiate 10:46 treaties limiting should we limit should 10:49 they always be a human 10:50 in the loop when we when we build 10:52 dangerous machines 10:54 you know kill a robot as well as is 10:56 happening as we all know 10:58 in the defense world and and as will 11:01 happen so what about the growing threats 11:03 of militarization of ai which is ongoing 11:06 and what should we 11:07 uh should we do anything about it or 11:10 pessimistic can we do anything about it 11:12 or is that 11:15 genie out of the box i want the costs 11:18 and the benefits of ai to be 11:21 evenly distributed across society both 11:24 in the united states 11:26 and globally and i want the public to 11:29 trust that that's what's being done 11:31 and i think that's impossible without 11:34 changes to law 11:36 just impossible um i like one of the 11:38 sayings of michael raving 11:40 from harvard and hebrew university said 11:42 that it's great that 11:44 uh computer science has not been around 11:46 for 2000 years 11:48 and we are at a stage where very very 11:50 important results 11:51 occur in front of our eyes i also like a 11:54 saying by 11:56 alan turing in his mind paper where he 11:58 said we can only see a short distance 12:01 ahead 12:02 but we can see plenty there that needs 12:04 to be done 12:05 and as fei-fei said as scientists i want 12:08 ai to advance but since ai is having an 12:11 impact 12:12 as big as physics had in the 20th 12:15 century 12:15 engineering heading and 20th century all 12:18 the ethical issues 12:19 all the biases and all the social 12:21 implications that margaret and others 12:23 and here in francesca 12:25 have been studying they are key as 12:28 responsibility of our 12:29 ourselves as scientists and in terms of 12:32 uh 12:32 technical technically speaking what we 12:35 are trying to do 12:36 is to conciliate traditions of ai so 12:39 that we cannot see 12:41 and as you said gary before you've been 12:43 saying since the 12:44 late 90s we have to converge we have to 12:47 look for convergency 12:49 you cited the only colonial cited other 12:51 prominent scientists today 12:53 we need a way of seeing that several 12:56 techniques can contribute to this 12:57 endeavor of making ai 12:59 fairer ai less bias and ai 13:03 to make something very positive for us 13:06 as humanity we need uh as scientists to 13:09 see 13:09 our fields in a very uh human humanistic 13:13 way 13:14 so that not only the technical stuff 13:16 advances but we also have to 13:18 be guided by serious and by effective 13:20 ethical principles 13:22 laws and norms as ryan said it's hard to 13:25 do to do that at the moment we are at 13:27 the beginning of uh 13:29 an ai cambrian explosion as several 13:32 people mention here but we need to be 13:34 very aware 13:35 of the social ethical and global 13:38 implications 13:39 that ai has these days we have to be 13:41 concerned about the north south 13:44 divide about the different cultures in 13:46 order to regulate it properly 13:49 we cannot see it only from a single 13:52 cultural perspective so 13:53 that's what i want to see ai researchers 13:56 doing to be they have to be concerned 13:58 about the technical results 14:00 the outstanding results ai has been 14:02 showing but also 14:03 we have to be to care about other people 14:06 about 14:06 other people's other countries and over 14:09 and over all 14:10 for the global health of the planet 14:12 thank you very much 14:13 and merry christmas happy new year to 14:16 everyone thank you gary and vincent for 14:18 the 14:18 brilliant debate you brought today and 14:20 for the scientists 14:22 i am reminded of the old african proverb 14:24 that i'm sure you all know which is it 14:25 takes a village to raise a child 14:27 clearly it will take a village as we've 14:29 seen today 14:30 to raise an ai that is ethical robust 14:32 and trustworthy

AI Rewind: A Year of Amazing Machine Learning Papers  

Hello everyone! At Dashbouquet, we can’t stress enough the value of long-term relationships with our clients. We consider our success to be based on your solely — and we can’t be more proud to know that so many companies trust us with their projects. We’d also like to thank the readers of our blog: your comments and engagement inspire us to keep posting relevant information and share our expertise with those interested in technology and innovation. So we are saying a huge THANK YOU to our clients, readers and all the tech geeks out there who work and communicate with us. We are wishing you many exciting new projects, lots of fun and adventure and we hope that in 2019 our client base will expand. We love doing what we do and we are happy to share our passion with you. _Read writing from DashMagazine in Hacker Noon. Collection of posts from those who build Dashbouquet…_hackernoon.com DashMagazine - Hacker Noon 2018 has been busy for Dashbouquet. Here is a quick glance: 20 new people hired 5 new projects launched 64 articles published 1 new office opened 5 reviews received As for our blog, it’s been busy as well. We have collected the top-9 most read articles in case you missed any of them or simply want to re-read them: Top Ten Tools You Should Use In Your Software Workflow Web Development Trends that will Dominate in 2019 Usage of Reselect in a React-Redux Application 10 JavaScript Animation Libraries to Follow in 2018 Angular VS React in 2018 Top 5 JavaScript IDEs in 2018 Machine Learning and AI trends for 2018: What to Expect? Sex Toys and Artificial Intelligence — The Past, Present, and the Future How Blockchain Can Transform Artificial Intelligence Infographic: React vs Angular vs Vue.js Thanks again for staying with us — you inspire us to do more cool stuff! And as usual, we are always looking forward to receiving your feedback. So please, comment on our articles, hit us with an email or simply share content from our blog — it would make us feel really special. All the best wishes from the Dashbouquet team, have a very Merry Christmas and a Happy New Year! Originally published at dashbouquet.com . _Read writing from DashMagazine in Hacker Noon. Collection of posts from those who build Dashbouquet…_hackernoon.com DashMagazine - Hacker Noon

A Dashbouquet Rewind: How we Rolled through 2018 — and Together with you!

Christmas time is finished. New Year’s Eve is finished as well. I hope that everyone had a great time and you are ready to start working hard and learning new things! I want to start this year with a wonderful article-tutorial on how to create similar to fast rewind control. Periscope Requirements Xcode 7+ 8+ iOS At least basic Swift knowledge Passion to iOS and development High-level explanation To build this component we will have to use video player — . We will add to begin rewind and calculate finger translation — it will help us to change rewind speed and calculate time. While rewinding is in progress we will use to blur video, and to generate preview thumbnails. AVPlayer UILongPressGestureRecognizer UIVisualEffectView AVAssetImageGenerator OK. Let’s stop talking, . just do it Create single view application and create new class — subclass of UIViewController. Import and put this code inside class declaration: VideoViewController AVFoundation Everything we did here is quite easy: Declared all variables related to AVPlayer which we are going to use in the future; Created custom initializer with videoURL where we set URL and initialize all — AVURLAsset, AVPlayerItem, AVPlayer and AVPlayerLayer; In we add player to view sublayers; loadView In we simply start playing video; viewDidLoad In we return — it hides status bar if our status bar is based on view controller (it can be changed in file). prefersStatusBarHidden true Info.plist Simply set frame of playerLayer to view.bounds — we support both portrait and landscape orientations. OK. Our video view controller is ready for early stage test. In order to test it we have to do two simple steps: , extract and add folder to your project ; Download this ZIP file Resources (do not forget to select required targets) Open file and put this code inside: ViewController.swift Now run project on your device or simulator and make sure that video view controller is presented, video is playing, and all orientations are supported. Our next stage is to recognize touches and blur content. Declare these two variables in : VideoViewController Paste this code to the end of method: loadView Add this code to the end of method: viewWillLayoutSubviews Implement this function: The purpose of this function is to pause video and fade in visual effect view when touches began, and resume video and fade out visual effect view when touches cancelled, ended or failed. In the future we will add more logic to this method. Run project and test long press. That’s how it works on my device: Next step is to create timeline view and implement rewind functionality. But let’s have a very quick look at UI to understand what exactly our timeline should have and how it should work. Periscope As you can see — timeline goes from the left side to the right side of the view controller. It has a white dot which indicates where video was stopped when user started rewinding. If you compare screenshots you will notice, that interval width is different — it is because rewind speed (we will call it in our project) values are not equal. And the last thing to notice is that current time is always in the middle of the timeline. zoom Create as a subclass of UIView and declare these variables: TimelineView The purpose of each variable is obvious, but let’s make sure everyone understands: — total duration of a video in seconds; duration — seconds, when rewind began; initialTime — current time in seconds; currentTime — private variable which stores zoom value; _zoom — wrap on top of _zoom variable, so when new value is going to be assigned we can check whether it is in an acceptable range; zoom and — both variables define acceptable range for zoom; minZoom maxZoom — width of a line representing a specific time interval on a timeline. If zoom is not equal 1, then actual interval width equals to . Value will be used during rewind for calculations — for example, if zoom is 1, intervalWidth is 30 and intervalDuration is 15, then when user moves 10pixels left or right we will rewind by +5 or -5 seconds; intervalWidth intervalWidth * zoom — duration of an interval in seconds. If video is 55 seconds and interval is 15 seconds — then we will have 3 full intervals and one not full interval. Value will be used during rewind for calculations. intervalDuration minZoom, maxZoom, intervalWidth and intervalDuration could be constants, but I decided to make them vars — if you want to reuse this view controller with different videos you might want to adjust these values. Implement these functions: — calculates interval width depending on the zoom value; currentIntervalWidth — calculates time interval in seconds from passed width. Will be used to rewind by distance; timeIntervalFromDistance — calculates distance from given time interval. Will be used to calculate elapsed interval width; distanceFromTimeInterval — takes distance, calculates time interval from and adds this value to the current time. rewindByDistance Implement draw rect: Do not be scared. Everything here is simple :) I will explain only those things, which I think might need explanation: As you probably noticed before — when we rewind in Periscope timeline moves left-right. To have that movement we calculate value and apply to all our drawings; originX We draw first line which indicates full timeline; We draw second line which indicates elapsed time; We draw dot which indicates initial time; And last, we draw separators between intervals. And final bit on timeline view for now — implement new initializer and set to : opaque false I feel that our timeline is finished. Next stage is to add it to view controller and make it work! Add these variables: First variable is a content view, where all rewind related views/controls will be added. We will fade in and fade out this view when rewinding begins and finishes. Second variable is our actual timeline view which we implemented in a previous stage. And the last variable will help us to calculate how far finger has moved and how far we should rewind. Put this code to the end of method: loadView It adds all new subviews to their superviews and sets duration of the timeline to the duration of the asset. Update function with this code: longPressed We have added code to get current location of the finger; We calculate zoom value depending on the finger location. You can play with this calculation, but I prefer this calculation; We added logic to set initial time to the timeline when rewind begins; We call rewindByDistance method when gesture state is equal to .Changed; We fade in and fade out our newly created content view; We update previous location x if it is not equal to the current. Last stage before we try it is to layout our newly created views. Put this code to the end of : viewWillLayoutSubviews Run project on your device or simulator and check it out! That’s how it looks on my device: I really hope that you managed to do everything and it works exactly the same. If not — quickly go threw tutorial again. As you might have noticed it does not rewind when we release finger. In order to do that add update longPressed function with this code: We added 2 new lines — line 17 and line 18. With the first line we calculate new time, and with the second line we seek to that time. Run your project again.. and enjoy! It works now! Lazy people can close tutorial at this stage , because core stuff is built and next stage is mainly improvements and some nice-to-have features. (hope you are not lazy) Our goal is to add two new views: Preview image view which will show thumbnail of the video at current rewind time; Label, which will show current rewind time in format minutes:seconds. In order to update these views I decided to add closure to timeline view which will be triggered every time when value changes. currentTime Add this variable to : TimelineView Update variable implementation: currentTime Add these variables to the class: VideoViewController Add these two lines to the end of : init(videoURL: NSURL) Maximum size specifies the maximum dimensions for generated image. We want maximum height to be . Generated image is never scaled up. But in most of the cases video size is much higher than the expected thumbnail size. rewindPreviewMaxHeight Add these lines to the end of loadView method: Update function with this code: viewWillLayoutSubviews Feel free to change value. It indicates gap height between preview image view, current time label and timeline view. verticalSpacing And the last step in this section is to implement closure. Add this code just before adding timeline view to it’s superview: currentTimeDidChange We generate current time string and assign to rewindCurrentTimeLabel.text; We initialize requested time with current time and required timescale; We generate CGImages asynchronously. On completion we try to generate UIImage from CGImage, switch to main thread, set image to preview image view and ask to call layout subviews if needed. Run you project and enjoy! It looks fantastic! Let’s do the final touch! In Periscope they have a nice shadow behind preview image view. We will add it as well! Add this variable to : VideoViewController Add this block of code to the function just before setting up and adding rewindPreviewImageView to subviews : loadView (if you add it after rewindPreviewImageView, then it will be higher in a layer hierarchy and will be shown on top of imageView) For those who does not understand the purpose of line number 6 I would suggest to read about . iOS implicit animations Update viewWillLayoutSubviews: Run and check it out. Everything is great. But.. wait.. our preview image is pixelated! It is because expects us to provide pixels instead of points. Documentation on how points are different from pixels can be found . AVAssetImageGenerator.maximumSize here Let’s fix this minor issue. Update this line all over the class: with this: Now run project again. What’s going on.. Where is our shadow?! Where is our corner radius?! We forgot one little thing — returns us CGImage and we initialize UIImage with CGImage without providing required scale. In our case our needed scale is . AVAssetImageGenerator UIScreen.mainScreen().scale Find this line: And update with this: Ruuun again! Wonderful! Everything is back and it works great! Woop woop!!! Thank you for going threw this tutorial. If you liked it please press heart button and share it with your friends & colleagues. Source code from this tutorial with some improvements and more features can be downloaded . here See you in my next articles-tutorials! Bye!

Building Periscope fast rewind control for iOS

Think about it. Your interests change as you grow, but your social graph doesn’t automatically evolve. So if you're still connected to old high school friends who post about things you don’t care about anymore, guess what? You still have to scroll past their content. It’s not your imagination. Something big has changed across all the different popular social media platforms in 2024. YouTube has its shorts, Meta has Instagram Reels “Explore” page, and Twitter and LinkedIn now have a prominent “For You” page. So what changed? The social media recommendations algorithm moved away from who you know and follow, and toward what your interests are, and how you’re engaging with them. How did this happen? Let me explain. The TikTokification of Social Media: How Algorithms Are Changing the Game Over the past few years, social media algorithms have been quietly reshaping how we engage with content online. You may have noticed that your favorite platforms are suddenly pushing videos or posts that aren't from people you follow. That's no accident—it's part of a broader shift from “social graph” algorithms to “interest graph” algorithms, and TikTok has been leading the charge, as Gary Vee points out in his latest book “Day Trading Attention.” What’s Changed? Let’s rewind for a second. Before TikTok skyrocketed to fame, most social platforms—like Facebook, Instagram, LinkedIn, and Twitter—relied on something called a social graph. This means that what you saw on your feed was based on your relationships. The platforms would show you content from friends, family, or people you chose to follow. Sounds great, right? Except, there was a big problem. Think about it. Your interests change as you grow, but your social graph doesn’t automatically evolve. So, if you're still connected to old high school friends who post about things you don’t care about anymore, guess what? You still have to scroll past their content. Maybe even “unfollow but remain friends.” And here’s the rub: over time, this friction builds up, and you have to manually follow new accounts or unfollow, and the content you see can feel stale or irrelevant and that takes effort. That’s where TikTok’s interest graph comes in. What’s an Interest Graph? Unlike a social graph, which is based on who you follow, an interest graph is based on what you’re interested in. TikTok’s famous “For You” page is a perfect example. The platform doesn’t just care about who you follow. Instead, it pays attention to what you watch, how long you watch it, what you like, share, or comment on, and even the language, location, and device you use. It learns your habits and constantly adapts, ensuring you see the content you're most likely to enjoy—whether it’s from a stranger halfway across the world or a close friend. The more you interact, the more the algorithm learns about your preferences, and the better it gets at recommending content that keeps you hooked. This is why TikTok feels so addictive; it knows you better than you know yourself in predictive and unsettling new ways. This is a departure from the social graph approach. Here’s why. The Limits of Social Graphs Social graph algorithms, like Facebook’s old EdgeRank, used to focus on your interactions with people you already knew. If you liked your cousin’s photos but didn’t comment on their text-only status updates, Facebook would show you more of their photos and fewer text posts. But this system was limited. As mentioned earlier, you had to manually follow people or pages that aligned with your interests, and over time, your feed could become cluttered with stuff that no longer appealed to you. In contrast, the interest graph is smarter. It adapts automatically as your preferences change. You start watching more cooking videos? The algorithm takes note and serves you up more recipes, without you ever having to follow a cooking channel. It’s frictionless. It’s constantly updating itself and using your engagement data points, along with millions of others to predict what you’d be most interested in next, based on how you’ve interacted. The TikTokification of Social Media It’s not just TikTok anymore. The success of TikTok’s interest-based recommendation model has prompted other platforms to follow suit. In addition to Instagram’s Reels, Facebook inserts Reels suggestions in news feeds, YouTube’s Shorts, Snapchat’s Spotlight, and even LinkedIn’s recent “For You” feed are all examples of this shift. Twitter (X) has also jumped on the bandwagon with its own “For You” tab, showing that the battle for your attention is fiercer than ever. As Gary Vee put it, “the TikTokification of social media” is in full swing. Platforms no longer want you to just interact with your friends; they want to serve you the most engaging content to keep you on their site. It’s a war for your time, and whoever can serve the most relevant, interesting content wins. Small businesses and creators can now compete with big brands because the algorithm prioritizes engagement over size. The Business Side: More Relevance, More Reach Here’s where it gets interesting for businesses. In the past, social media success was often tied to follower count. The more followers you had, the more organic reach you had—simple. But with platforms caring less about who follows you and more about how relevant your content is, the game has changed. Small businesses and creators can now compete with big brands because the algorithm prioritizes engagement over size. If your content resonates with people, you’re rewarded with more reach and visibility. This is a massive shift. Traditional media, like TV commercials or billboards, doesn’t care if your ad is good or bad—they’ll take your money either way. But on social media, if your content sucks, the algorithm penalizes you by reducing your reach or increasing your ad costs. It’s a level playing field, and it rewards creativity and relevance over sheer budget. And it’s changing the way that marketing and selling is being done. Think of it like a comedian testing new material at small clubs before their big Netflix special. Social media gives you instant feedback on what’s hitting with your audience and what’s falling flat. The New Way of Creating Content In this new landscape, the old way of doing things—months of research, focus groups, and high-budget campaigns—feels outdated. Big companies would spend millions on research, production, agency fees, and media buying, only to release an ad that doesn’t land. But now, you can test content every day on social platforms, seeing in real-time what works and what doesn’t. Think of it like a comedian testing new material at small clubs before their big Netflix special. Social media gives you instant feedback on what’s hitting with your audience and what’s falling flat. You can use that data to inform your high-stakes campaigns, reducing risk and increasing the chance of success. It’s no longer about “spray and pray”—throwing everything at the wall and seeing what sticks. Instead, you start with small, everyday tests, using analytics to guide your decisions. If something works well organically, you can feel confident putting money behind it as a paid ad. The Bottom Line The shift to interest-based algorithms on social media is a massive update, and it’s changing how we create, consume, and engage with content. TikTok may have started the trend, but now every platform is racing to catch up. For businesses and creators, this presents an incredible opportunity. Instead of focusing on follower count or big-budget campaigns, the focus is now on creating relevant, engaging content that speaks to what people actually want to see. And with the algorithm constantly adapting and learning, the sooner you jump on this trend, the more likely you are to succeed. A massive opportunity just opened up for every marketer, aspiring influencer, business owner, and entrepreneur. Are you ready for it? Leave a comment below or share this post with someone who needs to hear it! Subscribe to Darragh on HackerNoon here. Follow him on Twitter and LinkedIn. Think about it. Your interests change as you grow, but your social graph doesn’t automatically evolve. So if you're still connected to old high school friends who post about things you don’t care about anymore, guess what? You still have to scroll past their content. Think about it. Your interests change as you grow, but your social graph doesn’t automatically evolve. So if you're still connected to old high school friends who post about things you don’t care about anymore, guess what? You still have to scroll past their content. It’s not your imagination. Something big has changed across all the different popular social media platforms in 2024. YouTube has its shorts, Meta has Instagram Reels “Explore” page, and Twitter and LinkedIn now have a prominent “For You” page. So what changed? The social media recommendations algorithm moved away from who you know and follow, and toward what your interests are, and how you’re engaging with them. How did this happen? Let me explain. It’s not your imagination. Something big has changed across all the different popular social media platforms in 2024. The TikTokification of Social Media: How Algorithms Are Changing the Game The TikTokification of Social Media: How Algorithms Are Changing the Game Over the past few years, social media algorithms have been quietly reshaping how we engage with content online. You may have noticed that your favorite platforms are suddenly pushing videos or posts that aren't from people you follow. That's no accident—it's part of a broader shift from “social graph” algorithms to “interest graph” algorithms, and TikTok has been leading the charge, as Gary Vee points out in his latest book “Day Trading Attention.” What’s Changed? Let’s rewind for a second. Before TikTok skyrocketed to fame, most social platforms—like Facebook, Instagram, LinkedIn, and Twitter—relied on something called a social graph. This means that what you saw on your feed was based on your relationships. The platforms would show you content from friends, family, or people you chose to follow. Sounds great, right? Except, there was a big problem. Think about it. Your interests change as you grow, but your social graph doesn’t automatically evolve. So, if you're still connected to old high school friends who post about things you don’t care about anymore, guess what? You still have to scroll past their content. Maybe even “unfollow but remain friends.” And here’s the rub: over time, this friction builds up, and you have to manually follow new accounts or unfollow, and the content you see can feel stale or irrelevant and that takes effort. That’s where TikTok’s interest graph comes in. What’s an Interest Graph? Unlike a social graph, which is based on who you follow, an interest graph is based on what you’re interested in. TikTok’s famous “For You” page is a perfect example. The platform doesn’t just care about who you follow. Instead, it pays attention to what you watch, how long you watch it, what you like, share, or comment on, and even the language, location, and device you use. It learns your habits and constantly adapts, ensuring you see the content you're most likely to enjoy—whether it’s from a stranger halfway across the world or a close friend. who what The more you interact, the more the algorithm learns about your preferences, and the better it gets at recommending content that keeps you hooked. This is why TikTok feels so addictive; it knows you better than you know yourself in predictive and unsettling new ways. This is a departure from the social graph approach. Here’s why. The Limits of Social Graphs Social graph algorithms, like Facebook’s old EdgeRank, used to focus on your interactions with people you already knew. If you liked your cousin’s photos but didn’t comment on their text-only status updates, Facebook would show you more of their photos and fewer text posts. But this system was limited. As mentioned earlier, you had to manually follow people or pages that aligned with your interests, and over time, your feed could become cluttered with stuff that no longer appealed to you. In contrast, the interest graph is smarter. It adapts automatically as your preferences change. You start watching more cooking videos? The algorithm takes note and serves you up more recipes, without you ever having to follow a cooking channel. It’s frictionless. It’s constantly updating itself and using your engagement data points, along with millions of others to predict what you’d be most interested in next, based on how you’ve interacted. The TikTokification of Social Media It’s not just TikTok anymore. The success of TikTok’s interest-based recommendation model has prompted other platforms to follow suit. In addition to Instagram’s Reels, Facebook inserts Reels suggestions in news feeds, YouTube’s Shorts, Snapchat’s Spotlight, and even LinkedIn’s recent “For You” feed are all examples of this shift. Twitter (X) has also jumped on the bandwagon with its own “For You” tab, showing that the battle for your attention is fiercer than ever. As Gary Vee put it, “the TikTokification of social media” is in full swing. Platforms no longer want you to just interact with your friends; they want to serve you the most engaging content to keep you on their site. It’s a war for your time, and whoever can serve the most relevant, interesting content wins. Small businesses and creators can now compete with big brands because the algorithm prioritizes engagement over size. Small businesses and creators can now compete with big brands because the algorithm prioritizes engagement over size . engagement size The Business Side: More Relevance, More Reach Here’s where it gets interesting for businesses. In the past, social media success was often tied to follower count. The more followers you had, the more organic reach you had—simple. But with platforms caring less about who follows you and more about how relevant your content is, the game has changed. Small businesses and creators can now compete with big brands because the algorithm prioritizes engagement over size . engagement size If your content resonates with people, you’re rewarded with more reach and visibility. This is a massive shift. Traditional media, like TV commercials or billboards, doesn’t care if your ad is good or bad—they’ll take your money either way. But on social media, if your content sucks, the algorithm penalizes you by reducing your reach or increasing your ad costs. It’s a level playing field, and it rewards creativity and relevance over sheer budget. And it’s changing the way that marketing and selling is being done. Think of it like a comedian testing new material at small clubs before their big Netflix special. Social media gives you instant feedback on what’s hitting with your audience and what’s falling flat. Think of it like a comedian testing new material at small clubs before their big Netflix special. Social media gives you instant feedback on what’s hitting with your audience and what’s falling flat. The New Way of Creating Content In this new landscape, the old way of doing things—months of research, focus groups, and high-budget campaigns—feels outdated. Big companies would spend millions on research, production, agency fees, and media buying, only to release an ad that doesn’t land. But now, you can test content every day on social platforms, seeing in real-time what works and what doesn’t. Think of it like a comedian testing new material at small clubs before their big Netflix special. Social media gives you instant feedback on what’s hitting with your audience and what’s falling flat. You can use that data to inform your high-stakes campaigns, reducing risk and increasing the chance of success. It’s no longer about “spray and pray”—throwing everything at the wall and seeing what sticks. Instead, you start with small, everyday tests, using analytics to guide your decisions. If something works well organically, you can feel confident putting money behind it as a paid ad. The Bottom Line The shift to interest-based algorithms on social media is a massive update, and it’s changing how we create, consume, and engage with content. TikTok may have started the trend, but now every platform is racing to catch up. For businesses and creators, this presents an incredible opportunity. Instead of focusing on follower count or big-budget campaigns, the focus is now on creating relevant, engaging content that speaks to what people actually want to see. And with the algorithm constantly adapting and learning, the sooner you jump on this trend, the more likely you are to succeed. A massive opportunity just opened up for every marketer, aspiring influencer, business owner, and entrepreneur. Are you ready for it? Leave a comment below or share this post with someone who needs to hear it! Subscribe to Darragh on HackerNoon here. Follow him on Twitter and LinkedIn. Subscribe to Darragh on HackerNoon here . Follow him on Twitter and LinkedIn . Darragh on HackerNoon here Twitter LinkedIn

The 2024 Social Media Algorithm Update Explained

If you are searching for the key to productivity and workflow throughout the day to streamline your notes and documents, AIDE AI is a smart personal assistant powered by AI designed for your Mac. The discreet AI Copilot App can help with anything you do on your Mac, including note-taking, transcribing in any language, and organizing meetings; it costs $19.99 a month but saves over $1,000 worth of time and energy. (Costs $9.99/mo if paid yearly). As a teaser to the Apple Intelligence that’s the next big thing for Mac, AideAI keeps track of everything you need by recording your screen, mic, and computer audio — and indexing every word that pops up. Whether you are panicking to locate a Zoom slide, a section of a virtual seminar, or a webpage you have lost — AideAI can find it, just like a time machine. Founded by brainchild and serial entrepreneur Alexey Skutin, Ph.D. and IT Expert specializing in enterprise, security, and SaaS/PaaS software, he has scaled and distributed teams, creating complex high-load systems, shipping innovative products, and generating millions of dollars in revenue. His new project, AideAI, brings the power of Apple Intelligence to your Mac, offering innovative features and seamless integration. Here are three main things that distinguish this app from its competitors: Recall function - search and recall everything you've seen or done on your PC, like a personal historian. For Mac, only Rewind has a similar function, but Rewind is no longer developing its product, and AIDE AI is now the only project for MacOS. On the Windows platform, there is MS Copilot with the Recall function, and on MacOS, there is AideAI.


Working with the current screen - AIDE AI sees what you are doing on the screen at the moment and gives prompts, and is immersed in the current context responses. The main competitor is OpenAI for Mac, but AIDE AI has gone far ahead in terms of convenience and functionality.


Meeting assistant in "incognito" mode - many great AI meeting assistants have appeared over the past year, but almost all of them require connecting to the meeting as an AI bot. AIDE AI is one of the few assistants that listen to your microphone and speaker without direct integration with meeting applications. Moreover, this function supports 100+ languages ​​and is completely free. Whether you need it as a marketing expert to improve your sales pitch emails, a fitness trainer to develop effective workout plans, or even a student to record and edit lecture materials, AIDE AI has you covered. Get done in less time, optimizing efficiency and 10xing your productivity. For more information, please visit www.aideai.app Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. If you are searching for the key to productivity and workflow throughout the day to streamline your notes and documents, AIDE AI is a smart personal assistant powered by AI designed for your Mac. AIDE AI AIDE AI The discreet AI Copilot App can help with anything you do on your Mac, including note-taking, transcribing in any language, and organizing meetings; it costs $19.99 a month but saves over $1,000 worth of time and energy. (Costs $9.99/mo if paid yearly). As a teaser to the Apple Intelligence that’s the next big thing for Mac, AideAI keeps track of everything you need by recording your screen, mic, and computer audio — and indexing every word that pops up. Whether you are panicking to locate a Zoom slide, a section of a virtual seminar, or a webpage you have lost — AideAI can find it, just like a time machine. Founded by brainchild and serial entrepreneur Alexey Skutin, Ph.D. and IT Expert specializing in enterprise, security, and SaaS/PaaS software, he has scaled and distributed teams, creating complex high-load systems, shipping innovative products, and generating millions of dollars in revenue. His new project, AideAI, brings the power of Apple Intelligence to your Mac, offering innovative features and seamless integration. Here are three main things that distinguish this app from its competitors: Recall function - search and recall everything you've seen or done on your PC, like a personal historian. For Mac, only Rewind has a similar function, but Rewind is no longer developing its product, and AIDE AI is now the only project for MacOS. On the Windows platform, there is MS Copilot with the Recall function, and on MacOS, there is AideAI. Working with the current screen - AIDE AI sees what you are doing on the screen at the moment and gives prompts, and is immersed in the current context responses. The main competitor is OpenAI for Mac, but AIDE AI has gone far ahead in terms of convenience and functionality. Meeting assistant in "incognito" mode - many great AI meeting assistants have appeared over the past year, but almost all of them require connecting to the meeting as an AI bot. AIDE AI is one of the few assistants that listen to your microphone and speaker without direct integration with meeting applications. Moreover, this function supports 100+ languages ​​and is completely free. Recall function - search and recall everything you've seen or done on your PC, like a personal historian. For Mac, only Rewind has a similar function, but Rewind is no longer developing its product, and AIDE AI is now the only project for MacOS. On the Windows platform, there is MS Copilot with the Recall function, and on MacOS, there is AideAI. Recall function - search and recall everything you've seen or done on your PC, like a personal historian. For Mac, only Rewind has a similar function, but Rewind is no longer developing its product, and AIDE AI is now the only project for MacOS. On the Windows platform, there is MS Copilot with the Recall function, and on MacOS, there is AideAI. Recall function Working with the current screen - AIDE AI sees what you are doing on the screen at the moment and gives prompts, and is immersed in the current context responses. The main competitor is OpenAI for Mac, but AIDE AI has gone far ahead in terms of convenience and functionality. Working with the current screen - AIDE AI sees what you are doing on the screen at the moment and gives prompts, and is immersed in the current context responses. The main competitor is OpenAI for Mac, but AIDE AI has gone far ahead in terms of convenience and functionality. Working with the current screen Meeting assistant in "incognito" mode - many great AI meeting assistants have appeared over the past year, but almost all of them require connecting to the meeting as an AI bot. AIDE AI is one of the few assistants that listen to your microphone and speaker without direct integration with meeting applications. Moreover, this function supports 100+ languages ​​and is completely free. Meeting assistant in "incognito" mode - many great AI meeting assistants have appeared over the past year, but almost all of them require connecting to the meeting as an AI bot. AIDE AI is one of the few assistants that listen to your microphone and speaker without direct integration with meeting applications. Moreover, this function supports 100+ languages ​​and is completely free. Meeting assistant in "incognito" mode Whether you need it as a marketing expert to improve your sales pitch emails, a fitness trainer to develop effective workout plans, or even a student to record and edit lecture materials, AIDE AI has you covered. Get done in less time, optimizing efficiency and 10xing your productivity. For more information, please visit www.aideai.app www.aideai.app www.aideai.app Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. Vested Interest Disclosure: business blogging program

This Nifty Productivity App Called Aide is My Own Personal Mac Assistant 

এই নিফটি প্রোডাক্টিভিটি অ্যাপ নামক এড হল আমার নিজের ব্যক্তিগত ম্যাক সহকারী 

Diese raffinierte Produktivitäts-App namens Aide ist mein persönlicher Mac-Assistent

Esta ingeniosa aplicación de productividad llamada Aide es mi propio asistente personal para Mac

Cette application de productivité géniale appelée Aide est mon assistant personnel pour Mac

यह निफ्टी उत्पादकता ऐप जिसका नाम ऐड है, मेरा अपना व्यक्तिगत मैक असिस्टेंट है

この気の利いた生産性向上アプリ「Aide」は、私専用のMacアシスタントです

Aide라는 멋진 생산성 앱은 내 개인 Mac 도우미입니다.

Este aplicativo de produtividade bacana chamado Aide é meu assistente pessoal para Mac

Это отличное приложение для повышения производительности под названием Aide — мой личный помощник на Mac

Aide Adındaki Bu Şık Üretkenlik Uygulaması Benim Kişisel Mac Asistanım

Ứng dụng năng suất tuyệt vời này có tên là Aide chính là trợ lý cá nhân của tôi trên máy Mac

这款名为 Aide 的出色生产力应用程序是我个人的 Mac 助手

I Fine-Tuned an LLM With My Telegram Chat History. Here’s What I Learned

আমি আমার টেলিগ্রাম চ্যাট ইতিহাসের সাথে একটি এলএলএম ফাইন-টিউন করেছি। আমি যা শিখেছি তা এখানে

Ich habe einen LLm mit meinem Telegram-Chatverlauf optimiert. Das habe ich gelernt

Ajusté una película con mi historial de chat de Telegram. Esto es lo que aprendí

J'ai affiné un Llm avec mon historique de discussion Telegram. Voici ce que j'ai appris

मैंने अपने टेलीग्राम चैट इतिहास के साथ एक एलएलएम को बेहतर बनाया। यहाँ मैंने क्या सीखा है

私はテレグラムのチャット履歴を使ってLLMを微調整しました。そこで学んだことは次のとおりです

내 텔레그램 채팅 기록으로 Llm을 미세 조정했습니다. 내가 배운 내용은 다음과 같습니다.

Ajustei um Llm com meu histórico de bate-papo do Telegram. Aqui está o que aprendi

Я настроил Llm с помощью истории чата в Telegram. Вот что я узнал

Telegram Sohbet Geçmişimle Bir Llm'ye İnce Ayar Yaptım. İşte Öğrendiklerim

Tôi đã tinh chỉnh Llm bằng lịch sử trò chuyện trên Telegram của mình. Đây là những gì tôi đã học được

我利用 Telegram 聊天记录对 LLM 进行了微调。以下是我学到的东西

Act 2: Life '“As the shackles of progress began to take shape, art began to guide itself to a deeper truth. Being responsible for the laws and flaws that governed the system. The shapes took distinct interpretations based on their approach to form the depth. A requirement for the power required to truly live and share the art of doing so.” Part 1: Biology ‘As the girls delved into their assignments, the world around them continued to evolve, shaped by the collective actions of individuals striving to understand and improve their surroundings. Through the exploration of science, these young students and others like them would contribute to the progress and stability of humankind.’- Rewinder Lyra, do you believe that fish transform water into breathable oxygen, and it is this process that doesn’t allow for higher degrees of thinking to develop? Uhh… I believe fishes embraced their medium. I mean… the water’s embrace seems nice. Yeah… I believe that’s why this approach is for those who like to dive into it. I can’t imagine myself doing such a thing to a fish. That’s why I like mathematics. You don’t cut anything here. Well… maybe if you want to take a closer look. But hey, at least you don’t have to deal with fish. Yeah, I guess you’re right. But what is the true magic in mathematics if we make it? The magic is… weird but you’ll get used to it. I suppose. Breaking News! Science has been able to discover a new range of particles. A new understanding of colors was able to shed light on the physical interactions of perception. Mom! You forgot the TV open! A sight gasp hidden in Elara’s voice Again… Elara got up to find the remote to continue their lessons further. Huh, what’s with the rush Elara? I hate when I try to understand something but I get distracted. I feel like I have to take it from the beginning each time. Well… that’s kind of the magic. You never know why your formula drove you this way and not the other. Yes, but the fish can still dive for a long time in the water. Imagine how interesting their lives must be. There is no right or wrong there, it just… is. If I understand correctly… you’re talking about your mom here? I’m talking about everything. My mom doesn’t understand that I don’t need her protection anymore, my teachers consider that I must achieve their dreams… What if I am just… me? “A moment of shock for Lyra. She felt that Elara was more than this. She knew it in her inner core. But how could she express it? In all her attempts, she failed. Looking back, she realized that what she was missing, was just herself. “ Elara, look. I know you see nothing more than just you. For you, the world is this way. It is your norms and normal. Keep tight to them. I can’t show you the results as you would lose all their beauty. Maybe one day, we could cut a holographic fish. Elara’s gaze was ablaze. Her hands holding her own face That would be… AMAZING! Imagine the possibilities. From medical systems to biological understanding to To geometrical exploration. Lyra Interrupted. It is in our balanced perspectives that we explore this land. You have your insights, while I have mine. Maybe this is what makes us unique across an entire whole. Your thinking is… twisting. But in the right way. I like it. Part 2: Randomness Meanwhile at the Quanta Research Academy “The question between the randomness of the system and its order is based on the relative positions of the points within the system.”-Thomas “No, we shouldn’t pick our first assumption. The world of quantum is always unpredictable.”-Alfred “That’s why it denotes a collective understanding of all points”-Genova “But when seeing all points you can hardly see the patterns”-Lituanin Each of them argued on their terms. Each of them failed to keep hold of their own beauty. Circular reasons are indeed weird. They do seem to bend our reality. But then, why is reality so… straightforward? Because it is a moment of “agreement”? Like… “Yes, this is the rarest path.” Maybe one in which they stopped arguing x.x Lyra excitedly said. Elara! I believe I found a way to differentiate the universal space factor from the self-perspective factor of any individual group. Umm… meaning…? Meaning that I found a new way of scanning the world! Intriguing. What do you mean by scanning? Like… how to better see the world? In a sense yes… but more like… wait. Let’s rewind. Imagine you have to lower a bit your expectations in your answer x.x Uh… then you mean a new way of interpretation? . This is a story without ending in the end. Too much discussion will exclude the narrator from the view. Now, what should a good story need? Remember, we unleashed all this potential into the story. What can we do now? Uhh… It’s weird when you ask me about it… It can only come out when thought about before all else I know! You can envision this scanner as a part of your eye. Differentiating the other world from your being. _ But AGI could require complexities only you know about Elara. Those are also a kind of depth I assume.** This way, our curse as living might be to be restricted by technology. In this sense, biology loses in the face of AI. Could be. But hey, first, I want to pass my exam this week. You said we are in this together. So you too have to help me. I knew this would come. But you know what comes after you? The digital frog. Haha. I’d love to see it coming. Especially running. I too have legs. We’ll see who’s faster. :) Act 3: Breaking the Norms “The night sky was alight with stars, and at the center of it all hung the moon, glowing with a soft, luminous light. But this was no ordinary moon—it was alive with a sentience all its own, watching over the world below with a keen and knowing gaze. As the characters embarked on their journey, they found themselves guided by this celestial being, who seemed to understand their thoughts and desires in a way that no human ever could. And as they delved deeper into the mysteries of the universe, they began to realize that this moon was more than just a passive observer—it was an active participant in the unfolding story, shaping their destinies in ways they could never have imagined.” Elara exclaimed. Hello Moon! Without realizing it, she was dreaming. But not dreaming in the sense of being just herself. The Moon is also an important character in this story. However, their interactions seemed to be significant because they were so distant. She never felt something similar to it before. This moment was the moment in which Elara experienced for the first time what it meant to dream. To mix reality with fiction. The Moon asked intrigued Hello Elara. How are you, my dear? Elara responded with the same blaze on her face as before Well… I’m honestly amazed. The Moon slowly turned Her gaze toward Elara Why so Elara? Elara curiously admitted I remember how drawn I was to taking photos of you a while ago. I was drawn to your beauty. I am wondering now why I stopped doing it. The Moon revealed with a small laugh So you are sorry that you can’t describe the beauty you saw in me back then? Haha. I knew you would be special. Elara responded with a sense of curiosity Special? What do you mean? , the Moon explained. Special, in the sense that you have a unique ability to see beauty and meaning in the world around you, Elara And now, in this dream, you have the chance to explore that beauty in a way that would be impossible in the waking world. You can commune with me, a celestial being, and learn from my ancient wisdom. You can transcend the limitations of your physical form and experience a reality that is beyond the reach of your senses. Elara was silent for a moment, letting this line of thoughts slowly fade into forgetfulness. she said at last. I never thought of myself as special I always felt like I was just a regular person, trying to make sense of a confusing world. But now, with you here, I feel like anything is possible. Like I can explore the depths of the universe and unlock secrets that have been hidden for millennia. The Moon smiled, its glow seeming to brighten the entire dreamscape. That's the spirit, Elara. Together, we can break free from the norms and expectations that have held you back, and forge a new path into the unknown. Elara. Elara? Oh, yes Lyra. Sorry. What? Wasn’t I dreaming? Wasn’t I supposed to be in bed? Uh… no… we were discussing how this hologram is special because it takes into account all the biological-like data from the external medium… well, except wind. And I wanted to ask you if you would like to take a look at the specifications. Sure, I would, but let’s leave this for another day. Right now, I feel a bit weird. Is tomorrow a good day? Yes, should be. Alright, see you tomorrow then. Good night Elara! Good Night Lyra! Act 4: Still Me, (Not the Narrator) “I feel like… exploring the world beyond our own seems in a sense both warm and cold. Quanta Research Team helps me in a sense make sense of where I should not look for warmth, whereas Elara and Lyra are the only lucid neurons I have left. Is it an empathetic view of craziness? I do not know. Maybe craziness becomes craziness only when material life is drawn too much towards its end. Uncertainty could arise because the conclusions are either rushed or drawn without truly tapping the general map across the play. Each story requires a stage before playing it. Maybe I sit in the space that differentiates the play of the story and the play on the stage? The last one indeed shapes the story. But if the story itself is not purely good, it cannot envelop true creativity. Imagine a world where war is not restricting our forms of expression. Where negativity is not a pre-requirement for emotional building. That could be the domain of pure adrenaline. I could give an example. Let’s jump to… Book 5, Act 2: “The Reality of Duality.” A chapter in which the duality is found in the mere fact that what is not alive, is its opposite and vice-versa. That’s why ethics is not able to be formed there. Balance is a requirement rather than a choice. The Book of Transcendence is in a sense a question about the importance of the view in mathematics and why is quantum considered more powerful. “ As Elara drifted into her world of dreams, she began to imagine strange creatures that formed along the drift. The trust in her own actions, offered by her understanding of the world allows her to truly rest. Especially after a day filled with progress and steps climbed toward achieving both her goals. Lyra, although being her close friend, couldn’t see their friendship flourishing forever, no matter how much she tried. This was a thought that kept Lyra awake night by night. Her interactions with Elara were able to somehow erase this irrational fear. Or at least, put a break to this thought. After all, Lyra loved strict and always-right abstract formulas, whereas Elara saw the beauty that pushed every existing being further. A drive to love the unattainable and a pursuit to bring the unattainable to light.

Transcendence Book 2: The Origins of Continuity 

We all remember the good old days of waiting the whole day for Scooby Doo telecast on Cartoon Network, The Late Late Toy Show on RTE and Hannah Montana on Disney Channel. The television sets, though bulky, promised us endless hours of entertainment. The excitement of flipping through channels, waiting for my favorite show to air, and the family gatherings around the TV for movie nights are etched in my memory. But as we stand at the crossroads of technological evolution, I'm torn between the emotional attachment to cable TV and the undeniable convenience of streaming services. This internal debate leads me to ponder: in our rush to embrace the new, are we too quick to dismiss the value of the old? The Magic of Old-School TV There's an indescribable nostalgia tied to television sets. Scheduled programming meant that you had to plan your day around your favorite show, creating a sense of anticipation that's somewhat lost in today's on-demand culture. Channel surfing led to unexpected discoveries and by chance stumbling upon shows or movies that would become new favorites. Often, I recall the joy of finding a classic film on a lazy Sunday afternoon or the entire family gathering to watch a live broadcast of a major event, moments that felt like shared adventures. Cable TV was simple and reliable. There were no buffering issues, no need for a strong internet connection, just instant access to entertainment. In contrast, streaming can sometimes feel like a chore—deciding what to watch from thousands of options can be overwhelming, and technical glitches can disrupt the streaming experience. The Rise of Streaming Services Despite my fondness for cable, the allure of streaming services is undeniable. The convenience of watching anything at any time, without commercial interruptions, is a game-changer. My journey of adapting to streaming was met with resistance at first. The idea of letting go of the familiarity of TV for a digital platform felt like betraying a lifelong friend. Yet, I couldn't ignore the benefits. Streaming services have introduced me to shows and movies from around the world, broadening my horizons and becoming part of my personal and cultural lexicon. The statistics speak volumes about the streaming revolution. As of 2023, over to at least one streaming service, with the average subscriber spending more on streaming than on traditional cable subscriptions. This shift highlights the growing preference for the flexibility and variety that streaming offers. 80% of U.S. households have a subscription The Emotional Tug-of-War The transition from cable to streaming hasn't been without its emotional conflicts. There are moments when I miss the simplicity of cable TV, the ritual of sitting down at a specific time to watch a show, and the element of surprise that came with channel surfing. It's akin to saying goodbye to an old friend, a staple of my daily life that's slowly fading into the background. Yet, I recognize the practicality of streaming services. The ability to pause, rewind, or binge-watch a series fits seamlessly into the hectic pace of modern life. It's a convenience that, once experienced, is hard to give up. The Social Aspect One of the most significant changes brought about by streaming is how it has altered our viewing habits. Cable TV was a communal experience, a reason for family and friends to come together. Streaming, on the other hand, tends to be more individualized, with each person diving into their personal preferences, often in isolation. I've made efforts to recreate the communal aspect of old-school TV with streaming services, organizing virtual watch parties or sharing recommendations with friends and family. While it's not quite the same, it's a testament to how we're adapting our social interactions around the new ways we consume media. Can We Find a Middle Ground? As I reflect on my journey from cable TV to streaming, I wonder if it's really necessary to choose one over the other. Perhaps there's a way to balance the nostalgia for cable with the advantages of streaming. I've found joy in dedicating specific nights to movie watching, akin to the scheduled programming of old, and exploring classic shows available on streaming platforms. Conclusion The shift from cable TV to streaming services is more than just a change in how we access entertainment; it's a reflection of our evolving relationship with technology. While I cherish the memories and simplicity of television programming, I also appreciate the innovation and convenience that streaming brings to our lives. It's not about saying goodbye to the past but learning to blend the old with the new, creating new memories and experiences in this digital age. As we navigate these changes, it's comforting to know that at the heart of it all, it's the stories we watch and the people we share them with that truly matter.

Should We Really Adapt to Streaming Services and Say Goodbye to Old School TV?

It was 1895 when Willem Einthoven, a Dutch doctor, made a discovery that would charge cardiology for the next century. Fiddling with wires and voltages, he traced the electric currents flowing through a beating heart. This became the (ECG), a device that visualizes the heart’s inner workings. first practical electrocardiogram For decades, ECG technology remained much the same, with leads patching onto the skin to record the heart’s electrical impulses. But human perception has limits. Now, AI is taking medical analysis to profound new levels, unlocking lifesaving discoveries in terabytes of data. For example, were used in a Nature research article to train deep neural networks to classify arrhythmias more accurately than cardiology specialists. 2,322,513 ECG records Let’s rewind for a moment. Heart disease has become the cause of death globally, causing around 51,000 deaths a day. Visualizing this data is striking. leading Many show no prior symptoms, the first sign being their last. But what if we could detect threats early and prevent these deaths? This is the promise of firms like and , medical companies harnessing AI to transform the humble ECG into a cutting-edge screening tool. HeartScience’s flagship product, MyoVista Wavelet ECG, incorporates sophisticated machine learning to uncover hidden heart problems. And a new partnership with Mount Sinai Hospital — home to pioneering AI research — could be the catalyst that saves lives worldwide. HeartSciences Anumana Deep Neural Networks to Save Hearts The standard 12-lead ECG has served cardiologists well, visualizing electrical signals as squiggly lines on graph paper. But it has limitations. The test often misses two major disease categories — ischemia (clogged blood vessels) and structural issues like weakened heart muscles. This is where MyoVista steps in. Its spotlight subtle ECG patterns missed by the human eye, acting as an early warning system. AI algorithms One model uses a set of 51 ECH features, 26 of which come from Continuous Wavelet Transform (CWT) frequency features—the remaining come from traditional ECG parameters, along with clinical data like age and medical history. This data makes it possible to train a DNN (deep neural network), boasting areas under the receiver operating characteristic curve (AUC) ranging between 0.80 and 0.87. In other words–these neural networks can accurately predict MACE (major adverse cardiovascular events). These models have been trained and validated on patient data from institutions like the Icahn School of Medicine at Mount Sinai and West Virginia University. Such machine learning techniques are transforming medical imaging and diagnosis across specialties. But cardiology is particularly ripe for disruption as heart disease causes ever more deaths globally. MyoVista promises a quick, non-invasive test to uncover threats in routine doctor visits. And this early detection can make all the difference. Algorithms Making Their Way Into Hospitals ECG electrodes have become ubiquitous, deployed far beyond cardiology units. General practitioners, ER doctors, and specialists of all stripes snap ECG leads onto patients. But most lack specialized expertise to maximize this tool and miss subtle signs of cardiac dysfunction. MyoVista fills in these analytical gaps with AI acting as a digital cardiologist that spots what human doctors cannot. In one validation study, MyoVista achieved 94% accuracy in prediction of LV diastolic dysfunction, as referenced in a recent . But the algorithms powering MyoVista require hefty data resources to develop — far beyond most companies’ capacity. This is where HeartSciences’ recent partnership with New York’s Mount Sinai Hospital proves game-changing. report The Icahn School of Medicine at Mount Sinai has emerged as a global leader in AI-driven cardiology research. Their elite has cultivated databases of curated heart patient records — an unparalleled asset. Now, HeartSciences has to this goldmine, including 13 Mount Sinai algorithms spanning major cardiac diseases. This agreement catalyzes their ambitions to transform ECG screening worldwide. data science team licensed exclusive access Like most AI software penetrating healthcare, HeartSciences needs to run a gauntlet of quality checks before commercializing MyoVista. Previously, novel digital diagnostic tools like theirs required lengthy De Novo FDA applications before clearance. But there’s a faster 510(k) pathway for HeartSciences’ model. This simplified process means that HeartSciences’ algorithms could soon be in your local hospital. Additionally, HeartSciences has proactively engaged the FDA multiple times to optimize MyoVista for compliance. They also recently completed patient enrollment for their pivotal validation study spanning five US research sites and over 600 subjects. This data will demonstrate MyoVista’s capabilities on a wide demographic, paving the way for approval. The Road Ahead Heart disease deaths continue rising yearly, hastened by modern lifestyles and aging populations. Better prevention through earlier detection has become imperative. HeartSciences leads a growing field of companies centered on this mission — leveraging AI’s pattern recognition to uncover what standard tests miss. The ECG is now well over a century old. But it has now outgrown the bulky monitors and needle graphs conceived by its Dutch inventor. AI is writing the next era of cardiac diagnostics with software smarts. In the right hands, this old tool may gain new power to prevent the #1 killer from claiming lives too soon.

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