Dope Tech Episode 2

<<@luke2432985 says : This video is the first thing I thought of after seeing the new Roadster demo.>> <<@notafraidoftherobots says : This helped inspire the Tesla vacuum on the new Roadster me thinks>> <<@bluebeast1583 says : Anyone else here from the Tesla Roadster reveal? I remembered watching this demonstration of the same downforce concept explained at 17:22. The difference between the before example at 18:48 and after example at 21:18 is just mind boggling. Absolutely paradigm shifting this will be coming to our roads.>> <<@BrowseExplorer says : 19:35 Tesla Flying Roadster now have the vacuum feature>> <<@stopdoingthat.hereletmedoi7320 says : nerds>> <<@SquirrelAccount says : This channel's videos are annoying. Sometimes there is interesting subject matter, but then it's like 75% staring at men's faces.>> <<@jkyles313 says : Its all fun and games until cyberdyne sends micromice to ram your toes.>> <<@kryptakazum548 says : This is cool>> <<@Zabrakstar says : WHAT!? I DIDN'T EVEN KNOW VERITASIUM MADE THIS VIDEO UNTIL THE END PART!!>> <<@Neiroxizes says : what if this mouse will be small and will hold a rolled tape on top of itself wich actually a rail that the mouse can stick on the ground for the shortest path on the way back to the start after it founds the shortest way. Than it will lock on to that rail and just blast full speed to the finnish without thinking of friction and turns to complete the maze like in 2 seconds.>> <<@EvoDeVeau says : God I wish there was sequel to this video>> <<@RedPandaPhD says : Real machine learning is about learning by punishment or minimization of loss. The maze problem is a very specific application of machine learning. Machine learning really is just like dog training, i.e., positive or negative reinforcement learning, in which negative reinforcement is just a loss minimization problem. So, if you say the mathematician is the pioneer to modern machine learning, I would say dog trainers are even more pioneering. Then the psychologist called Skinner creating his "conditioning" theory also based on the dog trainer's training method. You see, humans are just like AI, they borrow ideas from each other and pretend they have "invented" something new. LOL>> <<@mattbritton6222 says : 8:32 How does the mouse know where the goal is?>> <<@shaifulezani says : what the point. if map was giver earlier. should given random map>> <<@abdullah-b3e3d says : just like f1 lol>> <<@AutismIncarnate2763 says : "This is the world record history... of micro mouse">> <<@Guenwhyever says : @6:15 I never forget the year our local corn maze started using bridges. As a puzzle obsessed middle schooler it ruined my runs through the maze. We had maps though so it was never hopeless.>> <<@E.C.L.I.P.S.E_OD says : More like 7.5 not 6>> <<@RastrodaRoça says : Have something software on the wall finish line ?>> <<@Makedonac007 says : []' where resistance is placed' noted. [] Where the ion' path floweth'[] [] []'and where it is program, as the unseen'. [:white_circle:] Similar can be, "time". Amen again Upper Canada's Energy Board(s) [] [] [] [*]>> <<@WarhawkTalon says : Funny thing about the comparison to F1 cars and downforce. I’ve heard that one F1 team basically used the same idea, strapped a big ‘cooling fan’ to the back of their car, with just under half of the intake for that fan coming from underneath the car. The other portion of the intake did contribute to cooling for legality purposes. Gave the car ridiculous downforce.>> <<@MyFilmDaddy says : Absolutely incredible speeds! 🏎 The way these tiny robots navigate the maze in the blink of an eye is mesmerizing to watch.>> <<@Daveyboy4 says : Just when I thought I'd seen every obscure competition!>> <<@ZootSuitTeaParty says : Add a second floor made out of lexan/acrylic and ramps moving up & down 😉>> <<@eazyone2364 says : Now that Asians own the game, like they do everything else>> <<@larrybud says : Sounds like it's time for a non-orthogonal maze.>> <<@steampunx-the-autistic says : 0:03 More like *SIX SEVEN!1!1!*>> <<@GottaSkeddadle says : 12:50 looks like a game of tron>> <<@Rendertube4k says : Peak content>> <<@NoNameIdk1 says : Why don't they just use the lack of height limit to look over the maze, then they can solve it quickly and just need to move to the end quickly>> <<@JohnDoe-jj3wt says : It’s Thursday night @11:45pm and I’m bored. What’s your excuse for being here?>> <<@Jezzables says : HOLY GD REFERENCE 16:10>> <<@JoeCnNd says : 2:40 sounds like fly by night.>> <<@tapiokohtala9392 says : Is this real life pacman game?>> <<@charlesdarwin5185 says : The mouse lives on for ever>> <<@UCANTDOYIT says : GEO>> <<@karslamapanosu5332 says : Türkçe dublaj lütfen lütfen 🙏>> <<@Cat-JJSPosterMaybe says : Someone took us here>> <<@stathyena says : I know this is an older video but one thing I noticed here is the parallels with speed solving a Rubik's Cube. The mice take time to learn the initial pattern (in speed cubing this is the 15 seconds of inspection you get before placing the cube down to start). The shortest path is also not always the fastest. While any 3x3 cube can be solved within 20 moves, the amount of memorizing would be impossible for a human and it may not be the fastest option because certain moves slow you down drastically. Fingertricks are important in maximizing speed just based on how our hands move and how they're positioned. Really loved this video and seeing these same things apply here!>> <<@INSANEE-z2s says : 16:14 HOLY GD REF>> <<@tranquility6789 says : 16:13 holy gd reference 🥹>> <<@thesakharepublik says : 16:04 it's like the Mona Lisa getting painted>> <<@JonnyHo-z2z says : 16:11 John Rod Trails 🥹✌️>> <<@taploko says : 16:14 neuron activation>> <<@bluenum342 says : 16:10 HOLY GD REFRENCE>> <<@IMAGE_HAPERY says : 16:13>> <<@GeorgeObousy says : 16:13 holy gd reference>> <<@aggelis-j6l says : 16:13 death corridor reference>> <<@Lunar_dashhh says : kinda feels like Trackmania records>> <<@hume5111 says : 16:15 HOLY GD REFERENCE>>