Podcasts about Cleverbot

ich spiele cleverbot --- Send in a voice message: https://podcasters.spotify.com/pod/show/all.you.can.say.de/message

The first known spin of the Wheel of Bad Animal Voices, all of Tommy Lee on Kevin and Sluggo, the Catherwood Family Band, the Miles man, the worst song of the 80s, an RHCP segment ruined, Cleverbot, and Ralph and the EGGIE!!!!! --- Send in a voice message: https://anchor.fm/quitters-never-give-up/message

The first known spin of the Wheel of Bad Animal Voices, all of Tommy Lee on Kevin and Sluggo, the Catherwood Family Band, the Miles man, the worst song of the 80s, an RHCP segment ruined, Cleverbot, and Ralph and the EGGIE!!!!! --- Send in a voice message: https://anchor.fm/quitters-never-give-up/message

Cleverbot ist sehr sehr komisch…

Would you eat at Garlic Garden Bistro??? Be honest! Cleverbot joins us in the Mudroom for some Mon-bleut action! It might be time to fire him.. Finally the boys review The Gentlemen! Matt stars as a marijuana kingpin in ENGLAND looking to take a step away from the business and run for governor of Texas. If you like Guy Ritchie we think you're going to love this one. Thanks for stopping by!

On this episode, we're talking about the simulation of human intelligence in machines, and how its applications have developed on the web. For our first story we're discussing Cleverbot, an AI chat web page that in 2011 passed the Turing Test. Up next is the story of Bina48, an AI robot from the perspective of a queer African-American that turned our perceptions of AI on its head.

How does a computer learn to speak with emotion and conviction? Language is hard to express as a set of firm rules. Every language rule seems to have exceptions and the exceptions have exceptions etcetera. Typical, “if this then that” approaches to language just don't work. There's too much nuance. But each generation of algorithms gets closer and closer. Markov chains were invented in the 1800's and rely on nothing more than basic probabilities. It's a simple idea, just look at an input (like a book), and learn the order in which words tend to appear. With this knowledge, it's possible to generate new text in the same style of the input, just by looking up the probability of words that are likely to follow each other. It's simple and sometimes half decent, but not effective for longer outputs as this approach tends to lack object permanence and generate run-on sentences. Markov models are used today in predictive text phone keyboards, but can also be used to predict weather, stock prices, etc. There've been plenty of other approaches to language generation (and plenty of mishaps as well). A notable example is CleverBot, which chats with humans and heavily references its previous conversations to generate its results. Cleverbot's chatting can sometimes be eerily human, perfectly regurgitating slang, internet abbreviations, obscure jokes. But it's kind of a sly trick at the end of the day, and, as with Markov chains, Cleverbot's AI still doesn't always grasp grammar and object permanence. In the last decade or two, there's been an explosion in the abilities of a different kind of AI, the Artificial Neural Network. These “neural nets” are modelled off the way that brains work, running stimuli through their “neurons” and reinforcing paths that yield the best results. The outputs are chaotic until they are properly “trained.” But as the training reaches its optimal point, a model emerges that can efficiently process incoming data and spit out output that incorporates the same kinds of nuance, strangeness, and imperfection that you expect to see in the natural world. Like Markov chains, neural nets have a lot of applications outside language too. But these neural networks are complicated, like a brain. So complicated, in fact, that few try to dissect these trained models to see how they're actually working. And tracing it backwards is difficult, but not impossible. If we temporarily ignore the real risk that sophisticated AI language models pose for societies attempting to separate truth from fiction these neural net models allow for some interesting possibilities, namely extracting the language style of a large body of text and using that extracted style to generate new text that's written in the voice of the original text. In this episode, Jeff creates an AI and names it “Theodora.” She's trained to speak like a presenter giving a Ted Talk. The result varies from believable to utter absurdity and causes Jeff to reflect on the continued inability of individuals, AI, and large nonprofits to distinguish between good ideas and absolute madness. On the creation of Theodora: Jeff used a variety of free tools to generate Theodora in the episode. OpenAI's Generative Pre-trained Transformer 2 (GPT-2) was turned into the Python library GPT2 Simple by Max Woolf, who also created a tutorial demonstrating how to train the model for free using Google Colab. Jeff used this tutorial to train Theodora on a corpus of about 900 Ted Talk transcripts for 5,000 training steps. Jeff then downloaded the model locally and used JupyterLab (Python) to generate new text. That text was then sent to Google Cloud's Text-To-Speech (TTS) service where it was converted to the voice heard on the episode. Producer: Jeff EmtmanMusic: LianceSponsor: Liance Independent musician James Li has just released This Painting Doesn't Dry, an album about the relationship between personal experiences and the story of humanity as a whole. James made this album while he anxiously watched his homeland of Hong Kong fall into political crisis.Buy on Bandcamp. Listen on Spotify.

How does a computer learn to speak with emotion and conviction? Language is hard to express as a set of firm rules.  Every language rule seems to have exceptions and the exceptions have exceptions etcetera.  Typical, “if this then that” approaches to language just don’t work.  There’s too much nuance. But each generation of algorithms gets closer and closer. Markov chains were invented in the 1800’s and rely on nothing more than basic probabilities.  It’s a simple idea, just look at an input (like a book), and learn the order in which words tend to appear.  With this knowledge, it’s possible to generate new text in the same style of the input, just by looking up the probability of words that are likely to follow each other.  It’s simple and sometimes half decent, but not effective for longer outputs as this approach tends to lack object permanence and generate run-on sentences. Markov models are  used today in predictive text phone keyboards, but can also be used to predict weather, stock prices, etc. There’ve been plenty of other approaches to language generation (and plenty of mishaps as well).  A notable example is CleverBot, which chats with humans and heavily references its previous conversations to generate its results.  Cleverbot’s chatting can sometimes be eerily human, perfectly regurgitating slang, internet abbreviations, obscure jokes.  But it’s kind of a sly trick at the end of the day, and, as with Markov chains, Cleverbot’s AI still doesn’t always grasp grammar and object permanence. In the last decade or two, there’s been an explosion in the abilities of a different kind of AI, the Artificial Neural Network.  These “neural nets” are modelled off the way that brains work, running stimuli through their “neurons” and reinforcing paths that yield the best results. The outputs are chaotic until they are properly “trained.” But as the training reaches its optimal point, a model emerges that can efficiently process incoming data and spit out output that incorporates the same kinds of nuance, strangeness, and imperfection that you expect to see in the natural world.  Like Markov chains, neural nets have a lot of applications outside language too. But these neural networks are complicated, like a brain.  So complicated, in fact, that few try to dissect these trained models to see how they’re actually working.  And tracing it backwards is difficult, but not impossible. If we temporarily ignore the real risk that sophisticated AI language models pose for societies attempting to separate truth from fiction these neural net models allow for some interesting possibilities, namely extracting the language style of a large body of text and using that extracted style to generate new text that’s written in the voice of the original text. In this episode, Jeff creates an AI and names it “Theodora.”  She’s trained to speak like a presenter giving a Ted Talk.  The result varies from believable to utter absurdity and causes Jeff to reflect on the continued inability of individuals, AI, and large nonprofits to distinguish between good ideas and absolute madness. On the creation of Theodora: Jeff used a variety of free tools to generate Theodora in the episode.  OpenAI’s Generative Pre-trained Transformer 2 (GPT-2) was turned into the Python library GPT2 Simple by Max Woolf, who also created a tutorial demonstrating how to train the model for free using Google Colab.  Jeff used this tutorial to train Theodora on a corpus of about 900 Ted Talk transcripts for 5,000 training steps. Jeff then downloaded the model locally and used JupyterLab (Python) to generate new text.  That text was then sent to Google Cloud’s Text-To-Speech (TTS) service where it was converted to the voice heard on the episode. Producer: Jeff EmtmanMusic: LianceSponsor: Liance Independent musician James Li has just released This Painting Doesn’t Dry, an album about the relationship between personal experiences and the story of humanity as a whole.  James made this album while he anxiously watched his homeland of Hong Kong fall into political crisis.Buy on Bandcamp. Listen on Spotify.

This week is a very special episode! We're taking part in an awesome event for October called #AllTheHorror. Every day is a different episode from a different podcast and we're also raising money for Scares that Care! We're proud to be first up this year and hopefully we set the mood for all the spooky topics to come from the many awesome podcasts particpating, and make sure you keep an eye on our Twitter for links to the other shows! We are joined by Tim of The Cabinet Podcast and David of Dos: After You and for our episode, we take a dive into the history, content, and social impact of Slender Man, one of our favorite cryptids. We discuss everything from the inception of Slender Man on SomethingAwful to the Paranormal Tulpa Theory. Slender Man has shaped so much of what we consider to be a modern cryptid, and we discuss some other more recent cryptids that are spreading through similar means as Slender Man, like Sirenhead. And in our second half, after David has to take off, we talk about the Ben Drowned creepypasta about a haunted The Legend of Zelda Majora's Mask cartridge. We read through most of the creepypasta and discuss what's creepy about this story with Tim. It's a long and complex creepypasta that eventually turned into a full blown Alternate Reality Game (ARG) that still appears to be running to this very day, several years after it started. Our question is, is this just a big plot to pump up Cleverbot usage numbers? To keep up with the event, follow us and @AllTheHorror18 on Twitter, and check out their website: allthehorror18.wixsite.com/event To check out the charity funds are going to, follow @ScaresThatCare on twitteer and their website: scaresthatcare.org Find merchandise to support the charity and the event here: allthehorror18.wixsite.com/event/merch Follow Dos: After You on twitter @dosafteryou and website: dosafteryou.com Follow The Cabinet Podcast @thecabinetpodcast and website: thecabineetpodcast.com Special thanks to Sean Faust for the #AllTheHorror theme music for this year! As usual, here are all the links you need in life: Check out our website at litgamingarena.com Join our Discord community! chat.litgamingarena.com We're also on Twitter! www.twitter.com/litgamingarena AND we are on Instagram! @litgamingarena And of course Facebook www.facebook.com/litgamingarenaCO Sound effects obtained from www.zapsplat.com Give our Podchaser list a BIG heart! https://www.podchaser.com/lists/Alternate-Reality-Radio-107Zzr3Wr5 And find our friends here: www.gamingpodcastalliance.com www.missingrollplayerfound.com

We tell some paranormal stories this week.

Declan and Roger have challenged eachother to write a song inspired by Alfred Hitchcock's 1963 film, 'The Birds'. Tune in next week for a song inspired by having a conversation with an A.I. chatbot. Links to chatbots: 1. Rose: http://ec2-54-215-197-164.us-west-1.compute.amazonaws.com/speech.php?fbclid=IwAR34dhMDfJq4Mj_sBTH-Yb4g6zr6vJm2l5yJd2grp59n60fBjUDvfoqlAlA 2. Mitsuku: https://www.pandorabots.com/mitsuku/?fbclid=IwAR1EjRaSURQT6F5BPiXf7Cl1ynCLk3AqL0SdW7eeTn8uP_OfI8cd7zR4LbY 3. Cleverbot: https://www.cleverbot.com/?fbclid=IwAR39ELTeGFTInCS3iYu2lRrqOHLY4duHv-FmOBHEOot8__86Bat7rOpyIX4 Find Roger: www.rogerheathers,com Find Declan: https://soundcloud.com/declan-kitchener Declan's Weekly Listening: 1. Pea Green Boat - An Unforgettable Luncheon 2. Kate Bush - The Kick Inside 3. Benji Owen - Breathin' Sun, Dancin' Moon Roger's Weekly Listening: 1. Todd Rundgren - Something/Anything? 2. Randy Newman - Good Old Boys 3. Ween - 12 Golden Country Greats

Artifical intelligence. It's what everyone's talking about these days. But unless you're a crazy nerd who's working on an AI project, the odds are you haven't found any way to use it yet. But what about chatbots? Chatbots are becoming more and more popular these days. In some countries such as China they're heavily dependant on them for making regular purchases. So how are they going to affect you and your ecommerce empire? And should you already be using them? In today's episode you'll find out about some cool existing chatbots that you can be using to grow your business right now, as well as some speculation on where this whole chatbot thing is going. By the way, it's not where you think. Buckle in and open those ear holes of yours because you're about to find out all about chatbots. Enjoy!   Chatbots Mentioned in This Episode:   Chatfuel – Build Facebook chatbots without any coding. Manychat – Same as Chatfuel... competitor. Growthbot – Add it to Slack and use it as your personal assitant. Ask it questions and let it do research for you. Standupbot – Use it to organise your team by interacting with each member and collecting information from them to find out what everyone is working on and what they have achieved in the day. Cleverbot – Just for fun. Chat with this bot about anything. Perhaps the only true AI example from the podcast. Kit – A chatbot Shopify app for you, the store owner, not the consumer. Kit is your marketing assistant, creating and running advertising campaigns when needed, and keeping you updated via SMS.   Please Help Us Out: Our podcast content is free, but we just have one favour to ask: If you like the show then make sure to subscribe but most importantly, please leave us a review wherever you listen to your podcasts. You really have no idea how much it helps. iTunes Overcast Stitcher Youtube 

In this episode, we are thanking the late and great Stephen Hawking, and how Cleverbot hit the mark many moons ago. Enjoy.Visit TryQuip.com/Smart to get a free $10 refill pack and support the podcast.

Max is joined by Rollo Carpenter; computer programmer and inventor of the world famous chatbot 'Cleverbot' (www.cleverbot.com). This episode is the first in a series to explore the fascinating world of artificial intelligence.

Es ist ein kalter Abend in der Kölner Südstadt. Wookie und Sebi treffen sich, wie sie das öfters machen. Sie unterhalten sich und nehmen sich dabei auf, wie sie es öfters machen. Dabei lernen sie, warum die EU gegründet wurde, warum Cleverbot garnicht clever ist und warum man Ostern seine Eier versteckt.

Mamute considera panelas de pressão alta tecnologia e Kris escova os dentes com violência. Discutimos também quando NÃO devemos adotar as tecnologias mais avançadas. http://twitter.com/faqvinteum http://facebook.com/faqvinteum http://instagram.com/faq21 Links Arsenal nuclear dos EUA é gerido por disquetes http://canaltech.com.br/noticia/bizarro/arsenal-nuclear-dos-eua-e-controlado-por-disquetes-dos-anos-1970-67721/ Robô “advogado” http://www.conjur.com.br/2016-mai-16/escritorio-advocacia-estreia-primeiro-robo-advogado-eua Cleverbot https://www.cleverbot.com Vídeo conceito realidade aumentada/misturada https://vimeo.com/166807261 Lúcio Alves - Ligia https://www.youtube.com/watch?v=3NSXIYzAVZI

Samuel and David (and a special Guest) talks about everything between heaven and earth! Ben & Jerry's: http://www.benjerry.com/ Monowheel: http://monowheel.se/ (swedish website) The candy Samuel ate and the picture he sent to David with him having David's cap: http://imgur.com/a/uAR7n Cleverbot: http://www.cleverbot.com/ Cortana: http://windows.microsoft.com/en-us/windows-10/getstarted-what-is-cortana Siri: http://www.apple.com/ios/siri/ Ok, Google: https://support.google.com/websearch/answer/2940021?hl=en Flickr: http://Flickr.com/ Our Twitter: twitter.com/PODASCofficial Our Soundcloud: @podasc Our Patreon: www.patreon.com/PODASC Our Hashtags: #PODASC #ASCPOD #NOHASHTAGS Our Tumblr (aka official Website)

Si una conversación larga, finalmente sin sentido y llena de disparates es lo que desea, pruebe con Cleverbot, una aplicación de chat artificial inteligente,... See omnystudio.com/listener for privacy information.

Cette émission est musicalement chargée, et pour cause, on a eu la chance de recevoir Cécile Corbel, à l'occasion de la sortie de son SongBook vol. 4 : Roses, à retrouver dès le 24 Juin un peu partout. Vous verrez, vous en aurez envie, rien que par notre passion et aussi grâce aux quelques extraits qu'on vous offre en exclusivité (morandini style) dans les vingt premières minutes de ce CVT106. Retrouvez-la sur http://www.cecile-corbel.com/. Pour le reste, la musique reste à l'honneur, avec les nanars de Lloyd : Liza Monet - Yaourt au fruit : http://www.youtube.com/watch?v=YgAItBSS94E Walid Djaghlouf - Jai Pas Compri Pourquoi : http://www.youtube.com/watch?v=p1DYmNqNgKc Ses liens du web : Aidez Lazarus : http://www.dailymotion.com/contest/tvlabfrance4/videos#video=x10bjv8 Chronology of Get Lucky - PV Nova : https://soundcloud.com/pvnova/evolution-of-get-lucky-daft Hodorifiez votre prose : http://mybart.fr/hodorify/ Smooth McGroove - Cornered : http://youtu.be/ALhAXtFR1LM Et la bonne humeur habituelle d'une équipe au taquet ! Merci à elle !

This week we are joined by guest Zisteau, and we talk about PlayOnCon, FLoB 100% childs play charity, The War Z, Cleverbot, AvidyaZen Returning and Notch getting sued againBe sure to check out the members of this Podcast:Zisteau: http://www.youtube.com/ZisteauGuude: http://youtube.com/GuudeBoulderfistBeef: http://youtube.com/VintageBeefBaj: http://youtube.com/W92BajPause: http://youtube.com/PauseUnpause

Hiarious improvisor Alex Berg comes on and talks all kinds of cool stuff. Did you know his three man improv team Convoy has never had a coach? You know him from his UCB Los Angeles teams Convoy and Sentimental Lady. You may have also read his Tumblr where he improvises with Cleverbot, Berg and Bot. ALSO, New intro music by Crystal Friedman. Hope you enjoy. Ok love you, bye.  See acast.com/privacy for privacy and opt-out information.

A new report says that hackers are turning their sights from computers to cars.  Computer security company McAfee released information regarding the large amount of electronics being used in cars today.  Researchers believe that technology is making cars increasingly vulnerable to hacking attacks, even by something as simple as text message.   If you have a Twitter account, you are not alone.  In fact, you are among 100 million other active users.  Twitter CEO Dick Costolo announced the statistic this morning.  He also said Twitter receives 400 million page views per month.  That’s up from about 250 million in January of this year.   Here’s one more thing robots can apparently do just as well as humans, carry on conversations.  You may remember that last week, Cleverbot, which is an artificial intelligence computer, shocked the world when it held a human like conversation.      Also, listen to hear the job of the day!

Welcome pickles, this is episode 93 of An Apotheosis of a Bombast. This week Elton watched Cars 2 & Skyline, had songs stuck in his head and worked out how many days old Scott is. Scott in the meantime, played with the Cleverbot sold a Super NES and learned how to speak cockney..... kinda ...... well no, no he didn't. Anyway, enjoy you lovely lot, if you do then please spread the word. Also don't forget to visit the Facebook page and Rogue Two for a ton of other great podcasts. You'll Find Creeping With Armstrong, Dissecting Dexter, Earh Station One, Gareth's Waste of Time, Geek Squared Podcast, Hypnobobs, The Ice Podcast, Matt's Musical Concepts & Rethinking LOST. Thanks for the support. bombastpodcast@gmail.com

"Conversations With A Robot"This episode is centered around a web application called Cleverbot. Cleverbot mimics humans by communicating with the user through past conversations that it's already had with others, allowing the user to access millions of previous discussions. You will liste [...]

"Eavesdropping On The Internet"The first and epic episode of this podcast. I take the listener into the world of online chat rooms, where people chat using microphones instead of typing. You are basically just an eavesdropping fly on the wall in this episode. It's often blunt, funny, controversial and/or shocking. You c [...]

Welcome to the DDO Cocktail Hour where we discuss the social aspects of Dungeons and Dragons Online, Eberron Unlimited. This week we talk all about trolling, what it is and isnt and troll our way through DDO community forums and the internet in general! Craziness ensues! We also touch on Atificers and easing some of the XP grind for your TR! Listen to find out why Samius hates everything and everyone! Thanks so much for listening! A poem By Sarg! ''The Gamer's Prayer'' (Read by Skaggy)Intro: Trololo Cowboys and Aliens! Adan Maskerys Alcoholic Apothecary, Black Loch CoffeeForums! Trolling ! What is it? Why do it? Why do we do it? Lets Troll! Cleverbot! What is that? http://www.cleverbot.com/ Trolling Twitter! Jason Momoa, mmmmmmm Trolling Blogs (Shamless self promotion) Trolling other podcasts: Kalaris Thread of the Week, Should I shave my armpirt hair Discussion, putting your politics on others. Crafting? Trolling Forums! Forums:Worst Shroud Pug Ever If I had a Time Machine! Trolling Ourselves on the Forums! Who do you Miss from the good old days? By Parvo Who do you miss more Artificer or Druid? Alias, who needs em? By JacoboonAlias and You, Text Macros Voicemail! x3Email! Wardrobe of the WarriorOutro!A QUICK NOTE FROM THE PRODUCER(S): Hello! This week I have to push the website update off on Samius as I am litterally walking out the door to leave for Cape Cod to watch a very good friend get married. So you might have to wait a few days in order to get proper links to some of the threads we talk about on this week's show! Also, there is no show next week... I said I was leaving right? Ok, just checking. Look for the return of the CtH week after next, and thanks to everyone who has bombarded me with show ideas! I LOVE THAT! (really!) Cheers and Thanks for listening! Lessah Ismorah, Senior Executive ProducerDDO CtH.

In this, very very late episode of the Spiraken Movie Review , Xan and Kal and Deke decided to split this review into 3 parts. So in this first part of Episode 9, Xan and Kal discuss the recently deceased Satoshi Kon and we review His first film project "Perfect Blue" directed by Satoshi Kon and starring several voice actors including Ruby Marlee and Wendy Lee. Besides discussing the brilliance/insanity of Satoshi Kon, Kal and Xan read the nutritional facts off of a box of candy, Read from MLIA.com, get into an argument with Cleverbot tm and talk about "The Debbie" Please send any comments concerns and ideas on how to make this podcast better. We are aware that the Cleverbot segment lasted a little bit too long, but did you enjoy it. Let us know. Remember to Listen to the primary podcast The Spiraken Manga Review. Also check out Xan's sidekickery on the fightbait.com podcast thank you and enjoy. Music For Episode: Intro Music -Angel of Love by Cham (Perfect Blue OST), Background Music -Sex Theme ( Debbie Does Dallas OST), Background Music -Alone But At Ease by Masahiro Ikumi  (Perfect Blue OST), Background Music - Mimas Theme by Masahiro Ikumi (Perfect Blue OST), Background Music -Virtual Mima (Voice Version) by Masahiro Ikumi (Conan The Barbarian OST), Ending Music - Nightmare (Kaminari Version) by Masahiro Ikumi (Perfect Blue OST) Our Website http://www.spiraken.com Our Forum http://spiraken.rapidboards.com Our Email Spiraken@gmail.com My Email xan@spiraken.com Our Twitter Spiraken Xboxlive Gamertag Xan Spiraken Our Voicemail 206-350-8462 Random Question of the Week: What was the On Line handle of the male stalker of Mima?