Podcasts about openai's dall e

Happy New Year! Are you fired up? You should be. As we usher in the ever-evolving landscape of 2024, small businesses find themselves at a pivotal juncture brimming with both opportunity and challenge. The digital age has leveled the playing field, granting unprecedented access to markets. However, it's also ratcheted up the competition. Amidst this dynamic backdrop, the astute strategy for small businesses is to invest in a Public Relations (PR) consultant. Listen in as Alex explains the why on PR! PR After Hours is one of the 15 Best Public Relations (PR) Podcasts. Check it out! We are also ranked #18 in the Feedspot 70 Best PR Podcasts list, featuring the "70 Best PR Podcasts worth listening to in 2024." +++ This episode is brought to you by Magic Mind. As part of the PR After Hours community, here's a special deal: get up to 56% off your first subscription within the next 10 days and 20% off one-time purchases with our code AFTERHOURS20 at  ⁠⁠⁠⁠⁠https://www.magicmind.com/prafterhoursjan⁠⁠⁠⁠⁠.  Magic Mind is dishing out an extra dollop of incentive to get your 2024 started on a high note: when you commit to a 3-month subscription this January, they're throwing in an additional month at no extra cost. It's an extra 20% off, which gets you to a total of 75% off. This only lasts until the end of January, ⁠so hurry⁠ up before it goes away. +++ SUPPORT THE SHOW Drop a buck in the tip jar⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠here.⁠⁠⁠⁠ ⁠⁠⁠⁠Click here ⁠⁠⁠⁠to gain access to ad-free, subscriber-only content for less than the price of a cup of coffee PER MONTH! $1.99 for no advertisements and occasional subscriber-only content! Send Alex a Voice Message!⁠⁠⁠⁠ Just click here⁠⁠⁠⁠ and give us your first name, city, and question or comment. Contact Alex ⁠⁠⁠⁠via email here⁠⁠⁠⁠. Read and subscribe FREE to Alex's Newsletter, ⁠⁠⁠All the Fits That's News⁠⁠⁠. Get Alex's book, THE PODCAST OPTION--NOW IN PAPERBACK, AUDIOBOOK, and eBOOK! Announcer: ⁠⁠⁠⁠Mary McKenna⁠⁠⁠⁠. PR After Hours Theme: ⁠⁠⁠⁠https://filmmusic.io⁠⁠⁠⁠ "Bossa Antigua" by Kevin MacLeod (⁠⁠⁠⁠https://incompetech.com⁠⁠⁠⁠) License: ⁠⁠⁠⁠CC⁠⁠⁠⁠. ⁠⁠⁠⁠Sound effects.⁠⁠⁠⁠ Image co-designed with the assistance of OpenAI's DALL-E, facilitated by ChatGPT. Copyright © 2024 by J. Alex Greenwood. All rights reserved. This PR After Hours Podcast episode was recorded and mixed at Green Shebeen Studios in beautiful Kansas City, Missouri. Copyright 2024, all rights reserved. No reproduction, excerpting, or other use without written permission. As an Amazon Associate, we earn a small commission on some of our Amazon links. --- Send in a voice message: https://podcasters.spotify.com/pod/show/alex-greenwood1/message

Podcaster doing back flip into a black hole after interviewing Neil deGrasse Tyson, author of To Infinity and Beyond: A Journey of Cosmic Discovery Links Neil deGrasse Tyson's website Neil deGrasse Tyson on The Late Show with Steven Colbert (2023) Carl Sagan on The Tonight Show with Johnny Carson - March 2, 1978 (YouTube) Note: To find out what really happened to the lost interview, be sure to download the NEXT episode of The Kindle Chronicles, coming to the nets later tonight.  If you'd like brief updates on technology, books, marriage, and puppies, you can follow along with my Morning Journal flash briefing. From your Echo device, just say, “Alexa, enable Morning Journal.” Then each morning say, “Alexa, flash briefing?” I post a five-minute audio journal each weekday except usually by 10 a.m. Eastern Time.  Right-click here and then click "Save Link As..." to download the audio to your computer, phone, or MP3 player. (Graphic for this episode created by Len Edgerly with OpenAI's DALL-E 2)  

In this episode, we bring you the exciting news as OpenAI unveils the groundbreaking DALL·E-3, a major upgrade in AI image generation. Join us to explore the latest advancements in artificial intelligence that are poised to revolutionize the way images are generated and understood by machines. Get an exclusive inside look at OpenAI's continuous innovation and the future of creative AI. Get on the AI Box Waitlist: https://AIBox.ai/Join our ChatGPT Community: ⁠https://www.facebook.com/groups/739308654562189/⁠Follow me on Twitter: ⁠https://twitter.com/jaeden_ai⁠

DALL-E may be playing second fiddle to Midjourney no longer with OpenAI's latest model for generative AI art, DALL-E 3. Host Jon Krohn breaks down the newest model's capabilities to go beyond producing incredible artistic images, and that follows your written brief to the letter. Additional materials: www.superdatascience.com/720 Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

AI Monthly Rundown September 2023: The Future of LLMs in Search!https://youtu.be/9hmWPza7dQEExplore the latest developments in the AI world for September 2023. We delve into the burning question: Are Large Language Models (LLMs) poised to replace traditional search engines? Dive into this comprehensive rundown and discover the evolution and future of search in the age of AI.In today's episode, we'll cover the evolution of search and large language models, Amazon's investment in Anthropic and generative AI updates, Google's advancements in personalized route suggestions and language modeling, DeepMind's AlphaMissense system for predicting genetic diseases, OpenAI's DALL·E 3 and the addition of voice and image capabilities to ChatGPT, Getty Images' Generative AI art tool, Vectara's Boomerang LLM, important AI contributions from Google and Apple, and the surge in hiring for Generative AI talent.LLMs, or Large Language Models, have undoubtedly made a significant impact on the way we search for information. However, it's unlikely that they will completely replace traditional search engines. Instead, I believe that LLMs and search engines will evolve and blend together to offer users the best of both worlds. Search engines have been around for over 29 years and have become incredibly proficient at providing fresh, relevant, and comprehensive results. This level of expertise is the result of years of industrial research. On the other hand, LLMs, with their phenomenal language understanding and generation capabilities, offer a new dimension to information retrieval. However, they sometimes lack verifiability, attributions, and relevancy. In my view, we can expect the rise of Language Search Models (LSMs), where the strengths of both LLMs and traditional search engines will be combined. This hybrid approach will leverage the comprehensiveness and freshness of search engines while harnessing LLMs' advanced language processing abilities.Are you eager to expand your understanding of artificial intelligence? Look no further than the essential book "AI Unraveled: Demystifying Frequently Asked Questions on Artificial Intelligence," available at Apple, Google, or Amazon today at https://amzn.to/3ZrpkCuSimplify Content Creation and Management with NoticeLooking for a no-code tool to easily create and publish content? With Notice, generate custom FAQs, blogs, and wikis tailored to your business with AI in a single click.Create, manage, and translate - all in one place. Collaborate with your team, and publish content across platforms, including CMS, HTML, or hosted versions.Plus, you can enjoy cookie-free analytics to gain insights about users and enhance SEO with Notice's smart blocks. Use code DIDYOUNOTICE30SPECIAL for a 30% discount on any subscription.TRY IT & ENJOY 30% OFF at https://notice.studio/?via=etienne

In this episode, Foundry Fellow Dyllan Brown-Bramble chats with Micaela Mantegna, Bikalpa Neupane, and Adil Islam. Dyllan and the panelists cover the basic who, what, when, where and why of artificial intelligence. The conversation panel discussed what AI is, its future, and their thoughts on the pros and cons of AI technology. This event is the first in a series of AI-related events leading up to our Fourth Annual Policy Hackathon. The Hackathon will be held this September 22-24th. Check out the latest information about the Hackathon on our website at or on our social media. The experts that joined the episode: Micaela Mantegna - Micaela is an activist and scholar, known for her extensive work and public advocacy on AI and XR ethics, video games, generative AI, creativity and copyright.  Currently, she is a TED Fellow and an affiliate at the Berkman Klein Center at Harvard. She is also a member of the Chatham House AITask Force. She was part of the external red team that contributed to evaluate OpenAI's DALL·E 2 Preview in 2022. In addition, she collaborated with the Argentinian government in drafting the AI ethics and regulation chapter of Argentina's National AI Plan in 2019. After 6 years of research, she published her first book “ARTficial: creativity, artificial intelligence and copyright” in 2022. Dr. Bikalpa Neupane - Bikalpa is the Head of AI and NLP at Takeda Pharmaceuticals, one of the largest R&D driven pharmaceuticals in the world. In his role, he manages distributed teams in US and Europe, and provides ‘AI-ML-NLP' and ‘Experimentation as a service' to several business units. He is from Nepal and he received his PhD degree in Informatics with focus on AI and ML discrimination from Penn State University. He teaches at several universities in areas of advanced data analytics, natural language processing and data mining. Adil Islam - Adil is the Chief of Staff at Stability.ai, one of the leading companies behind the generative AI revolution. He also works on girls' education in Pakistan, deploying AI applications for students at Karachi's largest public girls' school. In the past, Adil led the product and business organization at Petuum, an MLOps startup.

TODAY'S GUEST   Jay McClelland is a Computational Cognitive Neuroscientist and one of the founding fathers of the field of neural networks and deep learning in the 1980s, which led directly to today's explosion in AI and machine learning algorithms that are transforming our lives. He is the Lucie Stern Professor at Stanford University, where he was formerly the chair of the psychology department, and is currently a Consulting Research Scientist at DeepMind, perhaps the leader in machine learning technologies today.   Jay is best known for his work on statistical learning and parallel distributed processing, applying connectionist models (or neural networks) to explain cognitive phenomena such as spoken word recognition and visual word recognition. Today, he works on integrating language, memory, and visuospatial cognition in an integrated understanding system to capture human intelligence and enhance artificial intelligence, exploring how education and human-invented tools of thought can enhance human and machine intelligence.    EPISODE SUMMARY   In this conversation we talk about: Lessons from his youth, where he moved around the world as a child and interacted with different religions and backgrounds, which helped him understand that we are shaped by our contexts and experiences. His entry into cognitive psychology, and going beyond the laws of behavior into: Why do people behave the way they do? Building neural networks to model cognition. His world-changing PDP paper (Parallel Distributed Processing: Explorations in the Microstructure of Cognition), a paper that was published in 1986 and transformed this whole field, and directly led to more and more people embracing the connectionist model and neural networks. The fact and meaning of bi-directionality in neural networks. What does it mean that information can flow both ways in the same network structure? Generative models, and in this context, OpenAI's DALL-E 2 algorithm, which can create amazing illustrations and artworks — and should we credit generative or creative algorithms with artistry and give them credit for their art? Consciousness — does it extend beyond humans and is it something that we may be able to find someday in algorithms?   Talking to Jay really reminded me of the best in mankind, that through curiosity, asking interesting questions, and constructing thought models and experiments, we can unlock such a subtle and fundamental thing like cognition and the connectionist model, which then unlocks all of this power for society at large. We now have this responsibility to reign in the worst of mankind in how we exploit, curate, and share in the benefits of this incredible power. This will be a running topic for us, AI in the future. We explore the power of design and human-centered thinking to create a better future for everyone.   This conversation with Jay is one of many weekly conversations we already have lined up for you with leading authors, thinkers, designers, makers, scientists, and social entrepreneurs who are working to change our world for the better. So follow this podcast on your favorite podcast app, or head over to remakepod.org to subscribe.   And now, let's jump right in with Jay McClelland.   TIMESTAMP CHAPTERS   [7:28] Life in the Present [9:08] Early Childhood Perspectives [12:33] A Path to Psychology [22:16] Modeling Cognition [27:37] Neural Networks [35:16] The Significance of Bi-Directionality [40:21] Bistable Perception [43:55] The Truth of Mathematics [49:24] An Emergentist [55:17] Technology and AI [1:01:17] An Accumulation of Experience [1:07:20] On Consciousness [1:15:47] A Short Sermon   EPISODE LINKS Jay's Links

Artificial Intelligence (AI) and Large Language Models (LLMs) are so hot right now, so we sat down to find out what the big fuss is all about and what it really means for our little world of mountain biking. Consider this a piece of performance art, as we use OpenAI's ChatGPT not only to generate a short intro for our podcast, but also to answer and discuss some of the more relevant questions we like to ponder in conversations with our guests. How do you get into the sport? What are the best places to ride? How could we use the technology to improve mountain biking? Can you make it more awesome for everyone? And of course we had to ask one of our signature close-out questions and find out what it knows about a great skid! We had a lot of fun playing with the software and hope you also enjoy this chat with ChatGPT! Episode artwork created with OpenAI's Dall-E 2 using the following prompt: Prompts we used for the recording

Stability AI, the startup funding a range of generative AI experiments, has released a new version of Stable Diffusion, the text-to-image AI system that was among the first to rival OpenAI's DALL-E 2. 

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Exploring Metaculus' community predictions, published by Vasco Grilo on March 24, 2023 on The Effective Altruism Forum. Summary I really like Metaculus! I have collected and analysed in this Sheet metrics about Metaculus' questions outside of question groups, and their Metaculus' community predictions (see tab “TOC”). The Colab to extract the data and calculate the metrics is here. The mean metrics vary a lot across categories, and the same is seemingly true for correlations among metrics. So one should not assume the performance across all questions is representative of that within each of Metaculus' categories. To illustrate: Across categories, the 5th and 95th percentiles of the mean normalised outcome are 0 and 0.784, and of the mean Brier score are 0.0369 and 0.450. For context, the Brier score is 0.25 (= 0.5^2) for the maximally uncertain probability of 0.5. According to Metaculus' track record page, the mean Brier score for Metaculus' community predictions evaluated at all times is 0.126 for all questions, but 0.237 for those about artificial intelligence. So Metaculus' community predictions about probabilities look good in general, but they perform close to random predictions for artificial intelligence. There can be significant differences between Metaculus community predictions and Metaculus' predictions. For instance, the mean Brier score of the latter for artificial intelligence is 0.168, which is way more accurate than the 0.237 of the former. According to my results, Metaculus' community predictions are: In general (i.e. considering all questions), less accurate for questions: Whose predictions are more extreme under Bayesian updating (correlation coefficient R = 0.346, and p-value p = 0). With a greater amount of updating (R = 0.262, and p = 0). With a greater difference between amount of updating and uncertainty reduction (R = 0.256, and p = 0). For the category of artificial intelligence, less accurate for questions with: Greater difference between amount of updating and uncertainty reduction (R = 0.361, and p = 0.0387). More predictions (R = 0.316, and p = 0.0729). A greater amount of updating (R = 0.282, and p = 0.111). Compatible with Bayesian updating in general, in the sense I failed to reject it during the 2nd half of the period during which each question was or has been open (mean p-value of 0.425). If you want to know how much to trust a given prediction from Metaculus, I think it is sensible to check Metaculus' track record for similar past questions (more here). Acknowledgements Thanks to Charles Dillon, Misha Yagudin from Arb Research, and Peter Mühlbacher and Ryan Beck from Metaculus. Dark crystall ball in a bright foggy galaxy. Generated by OpenAI's DALL-E. Introduction I really like Metaculus! Methods I believe it would be important to better understand how much to trust Metaculus' predictions. To that end, I have determined in this Sheet (see tab “TOC”) metrics about all Metaculus' questions outside of question groups with an ID from 1 to 15000 on 13 March 2023, and their Metaculus' community predictions. The metrics for each question are: Tags, which identify the Metaculus' category. Publish time (year). Close time (year). Resolve time (year). Time from publish to close (year). Time from close to resolve (year). Time from publish to resolve (year). Number of forecasters. Number of predictions. Number of analysed dates, which is the number of instances at which the predictions were assessed. Total belief movement, which is a measure of the amount of updating, and is the sum of the belief movements, which are the squared differences between 2 consecutive beliefs. The values of the beliefs range from 0 to 1, and can respect a: Probability. Ratio between an expectation and difference between the maximum and minimum allowed by Metaculus. T...

Welcome to another episode of The TechCrunch Podcast where we break down the biggest stories in tech news with the people who cover it. This week Darrell Etherington talks with Taylor Hatmaker about the TikTok CEO's congressional testimony and Jaquie Melinek is here to catch us up on everything that's been going on in Crypto from Do Kwon's arrest to the SEC suing the Tron founder and many celebrities.Use Promo code TCPOD to get 40% founder and investor passes to Early Stage on April 20 in Boston.Articles from the episode:Terra creator Do Kwon reportedly arrested at Montenegro airport SEC sues Tron founder and celebrities, including Lindsay Lohan, Jake Paul and Soulja Boy, for crypto securities violations Coinbase execs weigh in on the crypto's future in US amid regulatory scrutinyTikTok CEO testifies before CongressTikTok CEO says it wasn't ‘spying' when ByteDance employees surveilled journalistsMore from TechCrunchAmazon kills DPReview, the best camera review site on the webGoogle's Bard lags behind GPT-4 and Claude in head-to-head comparisonAWS takes a hit in latest round of Amazon layoffsMicrosoft brings OpenAI's DALL-E image creator to the new Bing

Well, we've got Google Bard. We've got a new Copilot from GitHub. Bing Image Creator is rolling out. Mozilla AI launches. The low hanging fruit that is plugging AI into NPCs to make games more realistic. And at the very end, some actual non AI news!Links:Google opens early access to its ChatGPT rival Bard — here are our first impressions (The Verge)Microsoft's GitHub to Add OpenAI Chat Functions to Coding Tool (Bloomberg)Microsoft brings OpenAI's DALL-E image creator to the new Bing (TechCrunch)Mozilla launches a new startup focused on ‘trustworthy' AI (TechCrunch)Ubisoft's new AI tool automatically generates dialogue for non-playable game characters (TechCrunch)GPT-4 and professional benchmarks: the wrong answer to the wrong question (AI Snake Oil)Amazon is flooding the zone with new TVs as it crosses 200 million Fire TV devices sold (The Verge)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Updates from me…Alternative browsers for macOSI was interested in diving into the many new browsers emerging right now, especially for macOS.* Video* Blog postFlash fiction February 2023This daily writing challenge is back, read my entries on Medium, pretty much every day.Thanks for reading Chinchilla Squeaks! Subscribe for free to receive new posts and support my work.TechTry Astro 2.0 Today →Astro 2.0 is available on npm today. Upgrade an existing project by running npm i astro@latest or start a new Astro project right in your browser by visiting astro.new. Looking for more? Tune into a special Twitter space this afternoon at 12pm PST feat.After inking its OpenAI deal, Shutterstock rolls out a generative AI toolkit to create images based on text prompts →When Shutterstock and OpenAI announced a partnership to help develop OpenAI's Dall-E 2 artificial intelligence image-generating platform with Shutterstock libraries to train and feed the algorithm, the stock photo and media giant also hinted that it would soon be bringing its own generative AI too.This 1980s computer was a huge leap forward. Now you can download its source code →To celebrate the 40th birthday of the Apple Lisa computer, the Computer History Museum (CHM) has released the source code for the first graphical user interface computer.The Calculator Drawer →Remember scientific calculators? The Internet Archive now has dozens for you to play with in emulators and remember how we all used to live.WritingI Finished My Novel. Now What? →Most people have ideas for a novel. Many people start a novel. Some people even bang out a good chunk of manuscript. But few ever finish a real novel with an actual conflict, characters, climax, and all that jazz — and it's no wonder. That s**t is no joke.And finallyThe Search for Extraterrestrial Life as We Don't Know It →Sarah Stewart Johnson was a college sophomore when she first stood atop Hawaii's Mauna Kea volcano. Its dried lava surface was so different from the eroded, tree-draped mountains of her home state of Kentucky.Thanks for reading Chinchilla Squeaks! Subscribe for free to receive new posts and support my work. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit chinchillasqueaks.substack.com

When Shutterstock and OpenAI announced a partnership to help develop OpenAI's Dall-E 2 artificial intelligence image-generating platform with Shutterstock libraries to train and feed the algorithm, the stock photo and media giant also hinted that it would soon be bringing its own generative AI tools to users.

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Sentience Institute 2022 End of Year Summary, published by MichaelDello on November 25, 2022 on The Effective Altruism Forum. Summary Sentience Institute is a 501(c)3 nonprofit think tank aiming to maximize positive impact through longtermist research on social and technological change, particularly moral circle expansion. Our main focus in 2022 has been conducting high-quality empirical research, primarily surveys and behavioral experiments, to build the field of digital minds research (e.g., How will humans react to AI that seems agentic and intentional? How will we know when an AI is sentient?). Our two most notable publications this year are a report and open-access data for our 2021 Artificial Intelligence, Morality, and Sentience (AIMS) survey and our paper in Computers in Human Behavior on “Predicting the Moral Consideration of Artificial Intelligences,” and we have substantial room for more funding to continue and expand this work in 2023 and beyond. AIMS is the first nationally representative longitudinal survey of attitudes on these topics. Even today with limited AI capabilities, we are already seeing the social relationship we have with these digital minds bearing on public discourse, funding, and other events in the trajectory of AI. The CiHB predictors paper is a deep dive into demographic and psychological predictors of AI attitudes, so we can understand why certain people view these topics in the way that they do. This follows up on our 2021 conceptual paper in Futures and literature review in Science and Engineering Ethics. We have also been working to build this new field through hosting a podcast, an AI summit at the University of Chicago, and a regular intergroup call between organizations working on this topic (e.g., Center on Long-Term Risk, Future of Humanity Institute). The urgency of building this field has been underscored this year in two ways in 2022. First, AIs are rapidly becoming more advanced, as illustrated in the amazing performance of image generation models — OpenAI's DALL-E 2, Midjourney, and Stable Diffusion — as well as DeepMind's Gato as a general-purpose transformer and high-performing language models Chinchilla and Google's PaLM. Second, the topic of AI sentience had one of its first spikes in the mainstream news cycle, first as OpenAI chief scientist Ilya Sutskever tweeted “it may be that today's large neural networks are slightly conscious” in February, and then a much larger spike as Google Engineer Blake Lemoine was fired after claiming their language model LaMDA is “sentient.” In 2023, we hope to continue our empirical research as well as develop these findings into a digital minds “cause profile,” making the case for it as a highly neglected, tractable cause area in effective altruism with an extremely large scale. The perceptions, nature, and effects of digital minds are quickly becoming an important part of the trajectory of advanced AI systems and seem like they will continue to be so in medium- and long-term futures. This cause profile would be in part a more rigorous version of our blog post, “The Importance of Artificial Sentience.” 2022 has been a challenging year for effective altruism funding. There was already an economic downturn when this month's collapse of FTX, one of the two largest EA funders, left many EA organizations like us scrambling for funding and many other funders stretched thin. We expect substantially less funding in the coming months, and we need your help to continue work in this time-sensitive area, perhaps more than any other year since we were founded in 2017. We hope to raise $90,000 this giving season for our work on digital minds, such as surveys, experimental research, the cause profile, and other field-building projects. We will also continue some work on factory farming thanks to ge...

Are we entering the primetime era for venture capital investments into Artificial Intelligence or AI startups? It at least seems that way, as things have cooled off with Web 3 and crypto. There is a ton of momentum in this space with lots of use cases including Jasper, an AI copywriting and content platform that recently announced $125M in funding. Or, it will be interesting to see what companies are funded that are built on top of tech like OpenAI's DALL·E 2. Arthur is looking to ride this wave but they are taking a very smart approach an infrastructure play with its machine learning observability platform. A great analogy for this sector is what network monitoring software does for the netwrk, which detects outages, issues, and vulnerabilities… Arthur is looking to do the same for AI models. The company recently announced a $42M Series B round of funding co-led by Acrew Capital and Greycroft Ventures. In this episode of our podcast, we cover: * The pulse of innovation and entrepreneurship at two under-recognized institutions - University of Maryland and Carnegie Mellon. * John's career prior to starting Arthur including a deep dive into his research, experience as an advisor, and his path to becoming a tenured professor. * All the details about Arthur and its platform, plus how the company is making AI more transparent and equitable. * Advice for academics who are thinking of taking on a leadership role at a startup. * And so much more. If you like the show, please remember to subscribe and review us on iTunes, Soundcloud, Spotify, Stitcher, or Google Play.

This Week In Voice Season 7, Episode 7 Guests: Martin Ramirez (CRO, WellSaid Labs), Nikola Mrksic (CEO, PolyAI), Mark Fosdike (CEO, Datch), Shridhar Marri (CEO, Senseforth) Stories: 1) Voicebot.AI is 6 Years Old - Here Are 6 Ways The Industry Has Changed (Voicebot.AI) - https://voicebot.ai/2022/10/24/voicebot-is-6-years-old-here-are-6-ways-the-industry-has-changed/ 2) Shutterstock to integrate OpenAI's DALL-E 2 and launch fund for contributor artists (TechCrunch) - https://techcrunch.com/2022/10/25/shutterstock-openai-dall-e-2/ 3) Machines can craft essays. How should writing be taught now? (Inside Higher Ed) - https://www.insidehighered.com/news/2022/10/26/machines-can-craft-essays-how-should-writing-be-taught-now 4) Alexa predicts Philadelphia Phillies to win the World Series (WPVL) - https://6abc.com/philadelphia-phillies-world-series-houston-astros-alexa-prediction/12378560/

Artificial intelligence has made it nearly effortless to create digital art. WSJ senior personal tech columnist Joanna Stern tried out two AI art programs, OpenAI's Dall-E 2 and Stability AI's DreamStudio, and she joins host Julie Chang to explain how they work and their potential downsides. Learn more about your ad choices. Visit megaphone.fm/adchoices

Anne Spalter is a world-renowned artist with artwork in museums, galleries, and collections throughout the globe. She is known for having created the curriculum for the first university-level digital art programs. That work was for the Rhode Island School of Design and Brown University in the 1990s.  More recently, Anne has emerged as a pioneer in creating fine art using AI-based text-to-image generators. She launched a collection of 501 pieces earlier this year called AI spaceships, which she made into NFTs, and they sold out in an hour. That collaboration was with Night Cafe. Since then, she has launched a new art show which includes a variety of artwork using OpenAI's DALL-E and Midjourney, which are other prominent text-to-image generators.  Anne offers a perspective on the rise of synthetic media and how it is being received and used in the art world. She also shares some pro tips on how to use the new tools.  This interview was conducted at the Synthedia synthetic media conference hosted by Voicebot in September.  

Upload And Edit Images With Faces Using OpenAi's DALL·E. Check out the episode of Speak with Tyler Bryden.

En plots was daar een revolutie in AI-land. Met de aankondiging van OpenAI's Dall E 2 maakte het grote publiek kennis met een nieuwe mogelijkheid van kunstmatige intelligentie: het genereren van compleet nieuwe afbeeldingen. Dat levert in de eerste paar weken vooral goede internethumor op, maar inmiddels houden we rekening met een serieuze ontwikkeling in de foto- en kunstwereld. Inmiddels is er ook concurrentie voor OpenAI, in de vorm van Midjourney, Craiyon, Stable Diffusion en nog een aantal anderen. Alle vragen die De Technoloog heeft over dit onderwerp krijgen een antwoord van Laurens Verhagen, techredacteur bij de Volkskrant. Gast Laurens Verhagen Links Het eerste stuk van Laurens over o.a. Dall E 2 en Midjourney A Remix Manifesto Brute forcing creativity - Blog van Bart Mol Dall E 2 Midjourney Craiyon Stable Diffusion Video YouTube Hosts Herbert Blankesteijn & Ben van der Burg Redactie Daniël Mol   See omnystudio.com/listener for privacy information.

En plots was daar een revolutie in AI-land. Met de aankondiging van OpenAI's Dall E 2 maakte het grote publiek kennis met een nieuwe mogelijkheid van kunstmatige intelligentie: het genereren van compleet nieuwe afbeeldingen. Dat levert in de eerste paar weken vooral goede internethumor op, maar inmiddels houden we rekening met een serieuze ontwikkeling in de foto- en kunstwereld. Inmiddels is er ook concurrentie voor OpenAI, in de vorm van Midjourney, Craiyon, Stable Diffusion en nog een aantal anderen. Alle vragen die De Technoloog heeft over dit onderwerp krijgen een antwoord van Laurens Verhagen, techredacteur bij de Volkskrant.

Our 106th episode with a summary and discussion of last week's big AI news! Apologies for a lack of consistent episode releases lately, we've been really busy... If you are a fan, we'd appreciate your feedback on Apple Podcast, or just via email to contact@lastweekin.ai - feel free to DM us on Twitter too! Outline: (00:00) Intro (01: 32) Can artificial intelligence really help us talk to the animals? (06:13) How rangers are using AI to help protect India's tigers (09:13) Meta Starts Testing Its Latest AI Chatbot, BlenderBot 3  (10:35) AI startup Cerebras celebrated for chip triumph where others tried and failed (11:35) You can (sort of) generate art like Dall-E with TikTok's latest filter (13:10) Open-source rival for OpenAI's DALL-E runs on your graphics card  (16:00) Wearable AI Sensor Supports Personalized Health Data Processing, Analysis (20:15) AI pilot can navigate crowded airspace (24:18) Hyundai announces $400M AI, robotics institute powered by Boston Dynamics (25:30) In simulation of how water freezes, artificial intelligence breaks the ice (26:26) New algorithm aces university math course questions (27:28) The AI-powered swimmer is able to switch between different locomotory gaits adaptively to navigate toward any target location on its own (28:25) Facial recognition smartwatches to be used to monitor foreign offenders in UK (32:30) Man Sues City of Chicago, Claiming Its AI Wrongly Imprisoned Him (35:35) AI Contractors Eyeing Bigger Role Backed by Chips Bill Funds (37:26) China drafts rules on use of self-driving vehicles for public transport (38:30) Baidu's robotaxis don't need any human staff in these parts of China (39:35) U.S. appeals court says artificial intelligence can't be patent inventor (41:45) Robot Repeatedly Rearranges Remnants In The Round (44:20) Think Your Street Needs a Redesign? Ask an AI (50:09) Outro

On 'The Tech Guy' with Leo Laporte, Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language.  Subscribe and watch the full 'The Tech Guy' podcast: https://twit.tv/shows/the-tech-guy/episodes/1916 Host: Leo Laporte Guest: Chris Marquardt You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

On 'The Tech Guy' with Leo Laporte, Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language.  Subscribe and watch the full 'The Tech Guy' podcast: https://twit.tv/shows/the-tech-guy/episodes/1916 Host: Leo Laporte Guest: Chris Marquardt You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

On 'The Tech Guy' with Leo Laporte, Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language.  Subscribe and watch the full 'The Tech Guy' podcast: https://twit.tv/shows/the-tech-guy/episodes/1916 Host: Leo Laporte Guest: Chris Marquardt You can find more about TWiT and subscribe to our podcasts at https://podcasts.twit.tv/

Gadget planned obsolescence and e-waste, apps for writing books, how to play PC games on Mac, streaming home movies to friends and family, problems connecting modems to routers, customizable keyboards on Android, 2023 solar eclipse in the US, smart speaker recommendations, and more of your calls. Plus, conversations with Sam Abuelsamid about EV tax credits, Chris Marquardt on OpenAI's DALL·E 2, and Rod Pyle with NASA's Haughton-Mars Project. Citing danger of 'ink spills' Epson programs end of life for some printers Electronics are built with death dates. Let's not keep them a secret. Bill Gates: We're on the Verge of a Remarkable Moment for Congress and the Country French Scientist's Photo of 'Distant Star' Was Actually Chorizo How to play Stray and other PC games on Mac Sam Abuelsamid talks about EV tax credits in the Inflation Reduction Act  Microsoft Word alternatives for writing books and novels 'Cancel Culture' and social media How to stream and share home videos Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language. Problems connecting CenturyLink fiber modem to a home router Android keyboard apps and custom keyboard layouts 2023's solar eclipse in the United States Rod Pyle calls in from the Arctic Circle to talk about NASA's Haughton-Mars Project Smart speaker suggestions for the home theater Host: Leo Laporte Guests: Sam Abuelsamid, Chris Marquardt, and Rod Pyle Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Show notes and links for this episode are available at: https://twit.tv/shows/the-tech-guy/episodes/1916 Download or subscribe to this show at: https://twit.tv/shows/all-twittv-shows Sponsor: itpro.tv/twit promo code TWIT30

Gadget planned obsolescence and e-waste, apps for writing books, how to play PC games on Mac, streaming home movies to friends and family, problems connecting modems to routers, customizable keyboards on Android, 2023 solar eclipse in the US, smart speaker recommendations, and more of your calls. Plus, conversations with Sam Abuelsamid about EV tax credits, Chris Marquardt on OpenAI's DALL·E 2, and Rod Pyle with NASA's Haughton-Mars Project. Citing danger of 'ink spills' Epson programs end of life for some printers Electronics are built with death dates. Let's not keep them a secret. Bill Gates: We're on the Verge of a Remarkable Moment for Congress and the Country French Scientist's Photo of 'Distant Star' Was Actually Chorizo How to play Stray and other PC games on Mac Sam Abuelsamid talks about EV tax credits in the Inflation Reduction Act  Microsoft Word alternatives for writing books and novels 'Cancel Culture' and social media How to stream and share home videos Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language. Problems connecting CenturyLink fiber modem to a home router Android keyboard apps and custom keyboard layouts 2023's solar eclipse in the United States Rod Pyle calls in from the Arctic Circle to talk about NASA's Haughton-Mars Project Smart speaker suggestions for the home theater Host: Leo Laporte Guests: Sam Abuelsamid, Chris Marquardt, and Rod Pyle Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Show notes and links for this episode are available at: https://twit.tv/shows/the-tech-guy/episodes/1916 Download or subscribe to this show at: https://twit.tv/shows/the-tech-guy Sponsor: itpro.tv/twit promo code TWIT30

Gadget planned obsolescence and e-waste, apps for writing books, how to play PC games on Mac, streaming home movies to friends and family, problems connecting modems to routers, customizable keyboards on Android, 2023 solar eclipse in the US, smart speaker recommendations, and more of your calls. Plus, conversations with Sam Abuelsamid about EV tax credits, Chris Marquardt on OpenAI's DALL·E 2, and Rod Pyle with NASA's Haughton-Mars Project. Citing danger of 'ink spills' Epson programs end of life for some printers Electronics are built with death dates. Let's not keep them a secret. Bill Gates: We're on the Verge of a Remarkable Moment for Congress and the Country French Scientist's Photo of 'Distant Star' Was Actually Chorizo How to play Stray and other PC games on Mac Sam Abuelsamid talks about EV tax credits in the Inflation Reduction Act  Microsoft Word alternatives for writing books and novels 'Cancel Culture' and social media How to stream and share home videos Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language. Problems connecting CenturyLink fiber modem to a home router Android keyboard apps and custom keyboard layouts 2023's solar eclipse in the United States Rod Pyle calls in from the Arctic Circle to talk about NASA's Haughton-Mars Project Smart speaker suggestions for the home theater Host: Leo Laporte Guests: Sam Abuelsamid, Chris Marquardt, and Rod Pyle Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Show notes and links for this episode are available at: https://twit.tv/shows/the-tech-guy/episodes/1916 Download or subscribe to this show at: https://twit.tv/shows/total-leo Sponsor: itpro.tv/twit promo code TWIT30

Gadget planned obsolescence and e-waste, apps for writing books, how to play PC games on Mac, streaming home movies to friends and family, problems connecting modems to routers, customizable keyboards on Android, 2023 solar eclipse in the US, smart speaker recommendations, and more of your calls. Plus, conversations with Sam Abuelsamid about EV tax credits, Chris Marquardt on OpenAI's DALL·E 2, and Rod Pyle with NASA's Haughton-Mars Project. Citing danger of 'ink spills' Epson programs end of life for some printers Electronics are built with death dates. Let's not keep them a secret. Bill Gates: We're on the Verge of a Remarkable Moment for Congress and the Country French Scientist's Photo of 'Distant Star' Was Actually Chorizo How to play Stray and other PC games on Mac Sam Abuelsamid talks about EV tax credits in the Inflation Reduction Act  Microsoft Word alternatives for writing books and novels 'Cancel Culture' and social media How to stream and share home videos Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language. Problems connecting CenturyLink fiber modem to a home router Android keyboard apps and custom keyboard layouts 2023's solar eclipse in the United States Rod Pyle calls in from the Arctic Circle to talk about NASA's Haughton-Mars Project Smart speaker suggestions for the home theater Host: Leo Laporte Guests: Sam Abuelsamid, Chris Marquardt, and Rod Pyle Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Show notes and links for this episode are available at: https://twit.tv/shows/the-tech-guy/episodes/1916 Download or subscribe to this show at: https://twit.tv/shows/all-twittv-shows Sponsor: itpro.tv/twit promo code TWIT30

Gadget planned obsolescence and e-waste, apps for writing books, how to play PC games on Mac, streaming home movies to friends and family, problems connecting modems to routers, customizable keyboards on Android, 2023 solar eclipse in the US, smart speaker recommendations, and more of your calls. Plus, conversations with Sam Abuelsamid about EV tax credits, Chris Marquardt on OpenAI's DALL·E 2, and Rod Pyle with NASA's Haughton-Mars Project. Citing danger of 'ink spills' Epson programs end of life for some printers Electronics are built with death dates. Let's not keep them a secret. Bill Gates: We're on the Verge of a Remarkable Moment for Congress and the Country French Scientist's Photo of 'Distant Star' Was Actually Chorizo How to play Stray and other PC games on Mac Sam Abuelsamid talks about EV tax credits in the Inflation Reduction Act  Microsoft Word alternatives for writing books and novels 'Cancel Culture' and social media How to stream and share home videos Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language. Problems connecting CenturyLink fiber modem to a home router Android keyboard apps and custom keyboard layouts 2023's solar eclipse in the United States Rod Pyle calls in from the Arctic Circle to talk about NASA's Haughton-Mars Project Smart speaker suggestions for the home theater Host: Leo Laporte Guests: Sam Abuelsamid, Chris Marquardt, and Rod Pyle Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Show notes and links for this episode are available at: https://twit.tv/shows/the-tech-guy/episodes/1916 Download or subscribe to this show at: https://twit.tv/shows/total-leo Sponsor: itpro.tv/twit promo code TWIT30

Gadget planned obsolescence and e-waste, apps for writing books, how to play PC games on Mac, streaming home movies to friends and family, problems connecting modems to routers, customizable keyboards on Android, 2023 solar eclipse in the US, smart speaker recommendations, and more of your calls. Plus, conversations with Sam Abuelsamid about EV tax credits, Chris Marquardt on OpenAI's DALL·E 2, and Rod Pyle with NASA's Haughton-Mars Project. Citing danger of 'ink spills' Epson programs end of life for some printers Electronics are built with death dates. Let's not keep them a secret. Bill Gates: We're on the Verge of a Remarkable Moment for Congress and the Country French Scientist's Photo of 'Distant Star' Was Actually Chorizo How to play Stray and other PC games on Mac Sam Abuelsamid talks about EV tax credits in the Inflation Reduction Act  Microsoft Word alternatives for writing books and novels 'Cancel Culture' and social media How to stream and share home videos Chris Marquardt shows off OpenAI's DALL·E 2, an AI system that can create realistic images and art from a description in natural language. Problems connecting CenturyLink fiber modem to a home router Android keyboard apps and custom keyboard layouts 2023's solar eclipse in the United States Rod Pyle calls in from the Arctic Circle to talk about NASA's Haughton-Mars Project Smart speaker suggestions for the home theater Host: Leo Laporte Guests: Sam Abuelsamid, Chris Marquardt, and Rod Pyle Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Show notes and links for this episode are available at: https://twit.tv/shows/the-tech-guy/episodes/1916 Download or subscribe to this show at: https://twit.tv/shows/the-tech-guy Sponsor: itpro.tv/twit promo code TWIT30

Comedian JC Currais (@jcstandup) joins Andy, Jesse and Matt to discuss using dead spiders as robots, returning samples from Mars, a chess-bot that broke a little boy's finger and the miracle of OpenAI's DALL-E and the more lightweight version that we used to generate way too many pictures based on text prompts.

Dr. Miles Brundage, Head of Policy Research at OpenAI, joins Jon Krohn this week to discuss AI model production, policy, safety, and alignment. Tune in to hear him speak on GPT-3, DALL-E, Codex, and CLIP as well. In this episode you will learn: • Miles' role as Head of Policy Research at OpenAI [4:35] • OpenAI's DALL-E model [7:20] • OpenAI's natural language model GPT-3 [30:43] • OpenAI's automated software-writing model Codex [36:57] • OpenAI's CLIP model [44:01] • What sets AI policy, AI safety, and AI alignment apart from each other [1:07:03] • How A.I. will likely augment more professions than it displaces them [1:12:06] Additional materials: www.superdatascience.com/597

TODAY'S GUEST   Jay McClelland is a Computational Cognitive Neuroscientist and one of the founding fathers of the field of neural networks and deep learning in the 1980s, which led directly to today's explosion in AI and machine learning algorithms that are transforming our lives. He is the Lucie Stern Professor at Stanford University, where he was formerly the chair of the psychology department, and is currently a Consulting Research Scientist at DeepMind, perhaps the leader in machine learning technologies today.   Jay is best known for his work on statistical learning and parallel distributed processing, applying connectionist models (or neural networks) to explain cognitive phenomena such as spoken word recognition and visual word recognition. Today, he works on integrating language, memory, and visuospatial cognition in an integrated understanding system to capture human intelligence and enhance artificial intelligence, exploring how education and human-invented tools of thought can enhance human and machine intelligence.    EPISODE SUMMARY   In this conversation we talk about: Lessons from his youth, where he moved around the world as a child and interacted with different religions and backgrounds, which helped him understand that we are shaped by our contexts and experiences. His entry into cognitive psychology, and going beyond the laws of behavior into: Why do people behave the way they do? Building neural networks to model cognition. His world-changing PDP paper (Parallel Distributed Processing: Explorations in the Microstructure of Cognition), a paper that was published in 1986 and transformed this whole field, and directly led to more and more people embracing the connectionist model and neural networks. The fact and meaning of bi-directionality in neural networks. What does it mean that information can flow both ways in the same network structure? Generative models, and in this context, OpenAI's DALL-E 2 algorithm, which can create amazing illustrations and artworks — and should we credit generative or creative algorithms with artistry and give them credit for their art? Consciousness — does it extend beyond humans and is it something that we may be able to find someday in algorithms?   Talking to Jay really reminded me of the best in mankind, that through curiosity, asking interesting questions, and constructing thought models and experiments, we can unlock such a subtle and fundamental thing like cognition and the connectionist model, which then unlocks all of this power for society at large. We now have this responsibility to reign in the worst of mankind in how we exploit, curate, and share in the benefits of this incredible power. This will be a running topic for us, AI in the future. We explore the power of design and human-centered thinking to create a better future for everyone.   This conversation with Jay is one of many weekly conversations we already have lined up for you with leading authors, thinkers, designers, makers, scientists, and social entrepreneurs who are working to change our world for the better. So follow this podcast on your favorite podcast app, or head over to remakepod.org to subscribe.   And now, let's jump right in with Jay McClelland.   TIMESTAMP CHAPTERS   [7:28] Life in the Present [9:08] Early Childhood Perspectives [12:33] A Path to Psychology [22:16] Modeling Cognition [27:37] Neural Networks [35:16] The Significance of Bi-Directionality [40:21] Bistable Perception [43:55] The Truth of Mathematics [49:24] An Emergentist [55:17] Technology and AI [1:01:17] An Accumulation of Experience [1:07:20] On Consciousness [1:15:47] A Short Sermon   EPISODE LINKS Jay's Links

On January 1, 2015, physicist Max Tegmark gave up something most of us love to do: complain about things without ever trying to fix them. That "put up or shut up" New Year's resolution led to the first Puerto Rico conference and Open Letter on Artificial Intelligence - milestones for researchers taking the safe development of highly-capable AI systems seriously. Links to learn more, summary and full transcript. Max's primary work has been cosmology research at MIT, but his energetic and freewheeling nature has led him into so many other projects that you would be forgiven for forgetting it. In the 2010s he wrote two best-selling books, Our Mathematical Universe: My Quest for the Ultimate Nature of Reality, and Life 3.0: Being Human in the Age of Artificial Intelligence, and in 2014 founded a non-profit, the Future of Life Institute, which works to reduce all sorts of threats to humanity's future including nuclear war, synthetic biology, and AI. Max has complained about many other things over the years, from killer robots to the impact of social media algorithms on the news we consume. True to his 'put up or shut up' resolution, he and his team went on to produce a video on so-called 'Slaughterbots' which attracted millions of views, and develop a website called 'Improve The News' to help readers separate facts from spin. But given the stunning recent advances in capabilities - from OpenAI's DALL-E to DeepMind's Gato - AI itself remains top of his mind. You can now give an AI system like GPT-3 the text: "I'm going to go to this mountain with the faces on it. What is the capital of the state to the east of the state that that's in?" And it gives the correct answer (Saint Paul, Minnesota) - something most AI researchers would have said was impossible without fundamental breakthroughs just seven years ago. So back at MIT, he now leads a research group dedicated to what he calls "intelligible intelligence." At the moment, AI systems are basically giant black boxes that magically do wildly impressive things. But for us to trust these systems, we need to understand them. He says that training a black box that does something smart needs to just be stage one in a bigger process. Stage two is: "How do we get the knowledge out and put it in a safer system?" Today's conversation starts off giving a broad overview of the key questions about artificial intelligence: What's the potential? What are the threats? How might this story play out? What should we be doing to prepare? Rob and Max then move on to recent advances in capabilities and alignment, the mood we should have, and possible ways we might misunderstand the problem. They then spend roughly the last third talking about Max's current big passion: improving the news we consume - where Rob has a few reservations. They also cover: * Whether we could understand what superintelligent systems were doing * The value of encouraging people to think about the positive future they want * How to give machines goals * Whether 'Big Tech' is followin

Logan and Evan discuss Climavision partnering with GE Digital and take requests for OpenAI's DALL-E to create (we recommend watching the video for this one). Watch Middle Tech's Friday Updates LIVE at 8:30am EST on Instagram every week! @MiddleTechPod Today's Friday Update is sponsored by KY Innovation and Bolt Marketing Visit us at MiddleTech.com

Welcome to The Nonlinear Library, where we use Text-to-Speech software to convert the best writing from the Rationalist and EA communities into audio. This is: Law-Following AI 1: Sequence Introduction and Structure, published by Cullen OKeefe on April 27, 2022 on The AI Alignment Forum. This post is written in my personal capacity, and does not necessarily represent the views of OpenAI or any other organization. Cross-posted to the Effective Altruism Forum. This sequence of posts will argue that working to ensure that AI systems follow laws is a worthwhile way to improve the long-term future of AI.[1] The structure of this sequence will be as follows: First, in this post, I will define some key terms and sketch what an ideal law-following AI ("LFAI") system might look like. In the next few posts, I will explain why law-following might not emerge by default given the existing constellation of alignment approaches, financial objectives, and legal constraints, and explain why this is troubling. Finally, I will propose some policy and technical routes to ameliorating these problems. If the vision here excites you, and you would like to get funding to work on it, get in touch. I may be excited to recommend grants for people working on this, as long as it does not distract them from working on more important alignment issues. Image by OpenAI's DALL·E. Key Definitions A law-following AI , or LFAI , is an AI system that is designed to rigorously comply with some defined set of human-originating rules ("laws"),[2] using legal interpretative techniques,[3] under the assumption that those laws apply to the AI in the same way that they would to a human. By "intrinsically motivated," I mean that the AI is motivated to obey those rules regardless of whether (a) its human principal wants it to obey the law,[4] or (b) disobeying the law would be instrumentally valuable.[5] (The Appendix to this post explores some possible conceptual issues with this definition of LFAI.) I will compare LFAI with intent-aligned AI. The standard definition of "intent alignment" generally concerns only the relationship between some property of a human principal H and the actions of the human's AI agent A: Jan Leike et al. define the "agent alignment problem" as "How can we create agents that behave in accordance with the user's intentions?" Amanda Askell et al. define "alignment" as "the degree of overlap between the way two agents rank different outcomes." Paul Christiano defines "AI alignment" as "A is trying to do what H wants it to do." Richard Ngo endorses Christiano's definition. Iason Gabriel does not directly define "intent alignment," but provides a taxonomy wherein an AI agent can be aligned with: "Instructions: the agent does what I instruct it to do." "Expressed intentions: the agent does what I intend it to do." "Revealed preferences: the agent does what my behaviour reveals I prefer." "Informed preferences or desires: the agent does what I would want it to do if I were rational and informed." "Interest or well-being: the agent does what is in my interest, or what is best for me, objectively speaking." "Values: the agent does what it morally ought to do, as defined by the individual or society." All but (6) concern the relationship between H and A. It would therefore seem appropriate to describe them as types of intent alignment. Alignment with some broader or more complete set of values—such as type (6) in Gabriel's taxonomy, Coherent Extrapolated Volition, or what Ngo calls "maximalist" or "ambitious" alignment—is perhaps desirable or even necessary, but seems harder than working on intent alignment.[6] Much current alignment work therefore focuses on intent alignment. We can see that, on its face, intent alignment does not entail law-following. A key crux of this sequence, to be defended in subsequent posts, is that this gap between intent alignment and law-following is: Bad in expectation for the long-term future. Easier to bridge than the ga...

Welcome back to Multimodal!  Today, we're discussing OpenAI's DALL-E 2 announcement in greater detail.  We'll be talking about the announcement, waitlist access, things you can do until you get access, how to maximize your beta user experience, as well as discussing the many cultural ripple effects we may see in the near future as a result of DALL-E 2.   Podcast Discussion Timestamps 00:00 - Intro 04:10 - DALL-E 2 Announcement (Commentary) 08:25 - DALL-E 2 Waitlist/Access Update 11:00 - How to prepare for DALL-E 2 16:35 - What to do once you get access to DALL-E 2 21:40 - Why Greatness Cannot Be Planned: The Myth of the Objective by Joel Lehman, Kenneth O. Stanley 24:03 - DALL-E 2 Use Cases and Startup Ideas 26:53 - Ripple Effect #1 - More Futuristic Kinds of Art (?) 27:49 - Ripple Effect #2 - New Kind of OpenAI Community 29:22 - Ripple Effect #3 - GPT-X, DALL-E, and our Multimodal Future 30:57 - Ripple Effect #4 - DALL-E 2 Variation Generation - A New Pillar of Digital Creativity? 33:51 - Closing thoughts   Show Notes/Links DALL-E 2 Announcement and waitlist: https://openai.com/dall-e-2/ https://labs.openai.com/waitlist Sam Altman tweet: https://twitter.com/sama/status/1515436488225587200 DALL-E 2 vs Disco Diffusion: https://twitter.com/nin_artificial/status/1515771616877326351 https://medium.com/@nin_artificial/dall-e-2-vs-disco-diffusion-c6de6bfbacf9 Bram Adams "A Few Things to Try with DALL-E": https://www.bramadams.dev/projects/dalle-tricks Syd Mead: https://sydmead.com/ Paul Yacoubian Tweet: https://twitter.com/PaulYacoubian/status/1515786965928624138 Why greatness cannot be planned: https://www.youtube.com/watch?v=dXQPL9GooyI https://twitter.com/kenneth0stanley GPT-3 Startup Ideas / How to build a GPT-3 monopoly: https://bakztfuture.substack.com/p/how-to-build-a-startup-monopoly-with https://www.youtube.com/watch?v=YO0EK9TfOaU https://bakztfuture.substack.com/p/what-is-technology-how-do-you-come DALL-E 2 - New Wave of Futuristic Art? https://bakztfuture.substack.com/p/dall-e-2-new-wave-of-futuristic-art GPT-X, DALL-E, and our Multimodal Future: https://www.youtube.com/playlist?list=PLza3gaByGSXjUCtIuv2x9fwkx3K_3CDmw   Subscribe to the Multimodal Podcast!   Spotify - https://open.spotify.com/show/7qrWSE7ZxFXYe8uoH8NIFV Apple Podcasts - https://podcasts.apple.com/us/podcast/multimodal-by-bakz-t-future/id1564576820 Google Podcasts -  https://podcasts.google.com/feed/aHR0cHM6Ly9mZWVkLnBvZGJlYW4uY29tL2Jha3p0ZnV0dXJlL2ZlZWQueG1s Stitcher - https://www.stitcher.com/show/multimodal-by-bakz-t-future Other Podcast Apps (RSS Link) - https://feed.podbean.com/bakztfuture/feed.xml   Connect with me: YouTube - https://www.youtube.com/bakztfuture Substack Newsletter - https://bakztfuture.substack.com​ Twitter - https://www.twitter.com/bakztfuture​ Instagram - https://www.instagram.com/bakztfuture​ Github - https://www.github.com/bakztfuture​

Our 92nd episode with a summary and discussion of last week's big AI news! Outline: (0:00) Intro Research & Advancements (01:15) OpenAI's new DALL.E model turns your words into pieces of art (5:45) Pathways Language Model (PaLM): Scaling to 540 Billion Parameters for Breakthrough Performance (10:00) Lighting Round Stanford Researchers Have Developed a Machine Learning-Based Algorithm To Detect Autism in Brain “Fingerprints” - "Patients with autism who are diagnosed early and definitively may benefit from earlier therapies and better results. Stanford researchers have created an algorithm that can tell if someone has autism by analyzing brain images." Johns Hopkins' heart-scanning AI predicts cardiac arrests up to 10 years ahead - "Researchers at Johns Hopkins University have developed an artificial intelligence approach they say can help predict if and when a person could die of cardiac arrest based on imaging scans of the heart." AI Betting Agents Weigh In On Reproducibility Of Research Findings - "Penn State researchers have created synthetic “prediction markets” for speculating on the replicability of published studies with unparalleled accuracy." AI turns infrared images taken in total darkness into full colour - "The black-and-white images provided by night-vision cameras can be colourised using AI, but it must always be trained on similar images and is unlikely to ever work on unfamiliar general scenes" Applications & Business (12:15) First autonomous X-ray-analyzing AI is cleared in the EU - "An artificial intelligence tool that reads chest X-rays without oversight from a radiologist got regulatory clearance in the European Union last week — a first for a fully autonomous medical imaging AI, the company, called Oxipit, said in a statement." (14:45) Werner to use self-driving trucks on 600 mile lane deemed ‘unappealing' for human truck drivers - "Werner Enterprises in partnership with autonomous vehicle tech company Aurora Innovation, Inc. launched a commercial pilot program in Texas." (17:00) Lighting Round Elon Musk says production of Tesla's robot could start next year, but A.I. experts have their doubts - "Tesla has yet to reveal a working prototype of the robot, however, and it's unclear how sophisticated Optimus is at this stage." This California-based HealthTech Startup is Using Artificial Intelligence To Modernize and Personalize Fertility Care - "Alife Health, a San Francisco-based startup is using artificial intelligence to improve IVF fertility outcomes." Using machine learning to improve student success in higher education - "[overview of topic Deploying machine learning and advanced analytics thoughtfully and to their full potential may support improvements in student access, success, and the overall student experience." Microsoft and HPE put AI to the test on International Space Station … with gloves - "An image of a spacewalker's gloves is analyzed for signs of wear using AI" Society & Ethics (20:45) California suggests taking aim at AI-powered hiring software - "A newly proposed amendment to California's hiring discrimination laws would make AI-powered employment decision-making software a source of legal liability." (23:03) As Russia Plots Its Next Move, an AI Listens to the Chatter - "With vast amounts of data becoming available to intelligence analysts, new tools will help them sift and interpret it all—but they will introduce new risks, too." (25:22) Lightning Face scanner Clearview AI aims to branch out beyond police - “The new "consent-based" product, with aspirations of competing with Amazon and Microsoft, would use Clearview's algorithms to verify a person's face for bank transactions or commercial purposes.” Google Says AI Generated Content Is Against Guidelines - "Google's Search Advocate John Mueller says content automatically generated with AI writing tools is considered spam, according to the search engine's webmaster guidelines." California suggests taking aim at AI-powered hiring software - "A newly proposed amendment to California's hiring discrimination laws would make AI-powered employment decision-making software a source of legal liability." What AI Can Do for Climate Change, and What Climate Change Can Do for AI - "[overview of topics] To tackle the climate crisis, artificial intelligence is becoming more open and democratic" Fun & Neat (27:42) The 11 Commandments of Hugging Robots - "How to build a humanoid that gives perfect hugs" (33:00) Adding AI to Museum Exhibits Increases Learning, Keeps Kids Engaged Longer - "They used artificial intelligence (AI) to create a new genre of interactive, hands-on exhibits that includes a virtual assistant to interact with visitors." Outro

#mlnews #palm #dalle2 Google releases PaLM and OpenAI releases DALL-E 2 (and more news). Sponsor: Weights & BIases Start here: https://wandb.me/yannic Thumbnail credit: DALL-E 2 via Sam Altman OUTLINE 0:00 - Street interview w/ random stranger 2:25 - Intro 2:50 - PaLM - Google's 540B Pathways Language Model 7:50 - Sponsor: Weights & Biases 9:10 - OpenAI releases DALL-E 2 12:05 - Open Source Datasets and Models 13:20 - Salesforce releases CodeGen My Live Reaction to DALL-E 2: https://youtu.be/gGPv_SYVDC8 My Video on GLIDE: https://youtu.be/gwI6g1pBD84 My Video on the Pathways System: https://youtu.be/vGFaiLeoLWw References: PaLM - Google's 540B Pathways Language Model https://ai.googleblog.com/2022/04/pat... https://storage.googleapis.com/pathwa... OpenAI releases DALL-E 2 https://openai.com/dall-e-2/ https://cdn.openai.com/papers/dall-e-... https://www.instagram.com/openaidalle/ https://twitter.com/sama/status/15117... https://twitter.com/sama/media https://twitter.com/BorisMPower/statu... https://twitter.com/ariskonstant/stat... Open Source Datasets and Models https://twitter.com/multimodalart/sta... https://laion.ai/laion-5b-a-new-era-o... https://github.com/mlfoundations/open... Salesforce releases CodeGen https://github.com/salesforce/CodeGen Links: Merch: store.ykilcher.com TabNine Code Completion (Referral): http://bit.ly/tabnine-yannick YouTube: https://www.youtube.com/c/yannickilcher Twitter: https://twitter.com/ykilcher Discord: https://discord.gg/4H8xxDF BitChute: https://www.bitchute.com/channel/yann... LinkedIn: https://www.linkedin.com/in/ykilcher BiliBili: https://space.bilibili.com/2017636191 If you want to support me, the best thing to do is to share out the content :) If you want to support me financially (completely optional and voluntary, but a lot of people have asked for this): SubscribeStar: https://www.subscribestar.com/yannick... Patreon: https://www.patreon.com/yannickilcher Bitcoin (BTC): bc1q49lsw3q325tr58ygf8sudx2dqfguclvngvy2cq Ethereum (ETH): 0x7ad3513E3B8f66799f507Aa7874b1B0eBC7F85e2 Litecoin (LTC): LQW2TRyKYetVC8WjFkhpPhtpbDM4Vw7r9m Monero (XMR): 4ACL8AGrEo5hAir8A9CeVrW8pEauWvnp1WnSDZxW7tziCDLhZAGsgzhRQABDnFy8yuM9fWJDviJPHKRjV4FWt19CJZN9D4n

OpenAIs breakthrough - this time visual

This week we discuss the fallout across the Internet as a result of the siege on the Capitol including the removal of President Trump from many major platforms, its implications, and what it says about how ingrained technology is in our society. Other headlines include OpenAI's DALL-E, Apple's car initiative, and the failed acquisition of fintech startup Plaid by Visa. Links: Wizardest - The limit of process OpenAI Blog - DALL·E: Creating Images from Text Bloomberg - Apple Targets Autonomous Car for Consumers by 2024 (paywall) Plaid Blog - The Year Ahead

Форма для ваших вопросов: https://forms.gle/WqCy4DTAwHbvvpM67. В одном из выпусков мы на него, возможно, ответим.***Темы выпуска00:49 Тесла продали 500 000 машин за 2020 годhttps://ir.tesla.com/press-release/tesla-q4-2020-vehicle-production-deliveries13:50 OpenAI's DALL-E creates plausible images of literally anything you ask it tohttps://techcrunch.com/2021/01/05/openais-dall-e-creates-plausible-images-of-literally-anything-you-ask-it-to/23:12 В США достигнута квантовая телепортация на 44 кмhttps://habr.com/p/536092/31:02 Как Мегафон сдвигал дедлайн 10 разhttps://twitter.com/ELukyanov/status/132359246650376601639:50 Адоб Флеш — всёhttps://www.ixbt.com/news/2021/01/01/adobe-flash-prekratil-svojo-sushestvovanie-okonchatelno-i-bespovorotno.html47:15 Ответы на вопросы слушателей— Будут ли в Хобе айти-темы— Про эмоциональный интеллект— Как мы относимся к Твитеру.***Упоминали в выпуске— Пресс-релиз DALL-Ehttps://openai.com/blog/dall-e/— Почитать про эмоциональный интеллект: «Эмоциональный интеллект. Почему он может значить больше, чем IQ», Гоулман Дэниел— Наш подкаст (+ расшифровка) с создателями Николая Ироноваhttps://habr.com/ru/post/513680/***Вступайте в наш чат в Телеграме: https://t.me/hobacastПодписывайтесь на наш Патреон: https://www.patreon.com/hobaЧтобы поддержать нас и стать частью сообщества Хобы!***Участники выпуска— Адель Мубаракшин, https://t.me/exarg— Аня Линская, https://t.me/shel_sneg— Далер Алиёров, http://t.me/dalerblog— Ваня Звягин, http://anchor.fm/omfg-podcast***Спасибо нашим патронам!— Евгений Васкивский— Роман Далинкевич— Анастасия Смирнова— Паша Пастернак— Алекс Маликов— Влад Сазонов— Богдан Боровский— Надя Мальцева— Евгений Звягин.