Podcasts about openai's gpt

Our 154th episode with a summary and discussion of last week's big AI news! Read out our text newsletter and comment on the podcast at https://lastweekin.ai/ Email us your questions and feedback at contact@lastweekin.ai and/or hello@gladstone.ai Correction: Andrey mentioned "State space machines", he meant "State space models" Timestamps + links: (00:00:00) Intro / Banter Tools & Apps(00:02:06) Google Releases Gemini, an A.I.-Driven Chatbot and Voice Assistant (00:05:56) Copilot gets a big redesign and a new way to edit your AI-generated images (00:09:40) Arc Search's AI responses launched as an unfettered experience with no guardrails (00:12:40) Brilliant Labs's Frame glasses serve as multimodal AI assistant (00:15:30) Stability AI launches SVD 1.1, a diffusion model for more consistent AI videos (00:16:18) OpenAI launches ChatGPT app for Apple Vision Pro Applications & Business(00:19:04) A Waymo robotaxi hit a cyclist in San Francisco – here's what happened (00:23:30) Canon plans to disrupt chipmaking with low-cost “stamp” machine (00:27:33) US industry group calls for multilateral chip export controls to address disadvantage over Korea, other allies (00:30:10) U.S. blocks shipment of 24 Nvidia AI GPUs to China over concerns about self-driving truck company (00:32:24) Nvidia reportedly selects Intel Foundry Services for GPU packaging production — could produce over 300,000 H100 GPUs per month Projects & Open Source(00:37:23) Allen Institute for AI launches open and transparent OLMo large language model (00:42:46) Meet ‘Smaug-72B': The new king of open-source AI (00:47:02) Introducing Qwen1.5 (00:50:54) Hugging Face launches open source AI assistant maker to rival OpenAI's custom GPTs (00:53:20)  Apple releases ‘MGIE', a revolutionary AI model for instruction-based image editing Research & Advancements(00:54:30) Learning Universal Predictors (01:01:00) Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks (01:04:40) MusicRL: Aligning Music Generation to Human Preferences (01:05:47) FP6-LLM: Efficiently Serving Large Language Models Through FP6-CentricAlgorithm-System Co-Design (01:09:06) AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents (01:12:36) Specialized Language Models with Cheap Inference from Limited Domain Data Policy & Safety(01:13:22) EU's AI Act passes last big hurdle on the way to adoption (01:17:04) Building an early warning system for LLM-aided biological threat creation (01:23:44) FCC votes to ban scam robocalls that use AI-generated voices (01:24:33) Biden administration names a director of the new AI Safety Institute (01:26:23) OpenAI's GPT-4 finally meets its match: Scots Gaelic smashes safety guardrails Synthetic Media & Art(01:28:04) AI poisoning tool Nightshade received 250,000 downloads in 5 days: ‘beyond anything we imagined' (01:30:24) Labeling AI-Generated Images on Facebook, Instagram and Threads (01:33:06) OpenAI is adding new watermarks to DALL-E 3 (01:34:38)  Following lawsuit, rep admits “AI” George Carlin was human-written  (01:36:20) Outro

Join the conversation as we delve into Google's Gemini, poised to challenge OpenAI's GPT-4 and shape the future of artificial intelligence. Explore the potential impact of Gemini on AI research, development, and innovation. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Delve into Google's strategic move with Gemini as it aims to challenge OpenAI's GPT-4 and redefine the future of AI innovation. Join the conversation as we explore the potential impact of Gemini on the AI landscape. Get on the AI Box Waitlist: AIBox.aiJoin our ChatGPT Community: Facebook GroupFollow me on Twitter: Jaeden's Twitter

Lots of time and effort to be saved and money to be made with millions of pre-built AI bots. Steve Sipress, entrepreneur, marketing, advertising, sales, tips, ideas, help, wow, strategy, small business owner, direct response, tactics, success, profits, growth, results, marketing consultant, Chat, GPT, bot, Open, AI, store, premium, paid, creator, free, paid,

Envision the future of AI moderation as OpenAI's GPT-4 sets the standard for automated content oversight. Join this episode for insights into the strategic considerations, challenges overcome, and the reshaping of the AI-driven content moderation landscape in the era of GPT-4.

Envision the future of conversational AI as ChatGPT unveils new features, and OpenAI shapes its vision with the GPT-5 trademark. Join this episode for insights into the strategic considerations, challenges overcome, and the reshaping of the conversational AI landscape.

Venture into the tech frontier as ChatGPT introduces new features, and OpenAI ventures into the future with the filing of the GPT-5 trademark. Join this episode to explore the frontiers of technology, gain insights into challenges faced, and discuss the potential advancements in conversational AI.

In this episode, we dissect Google's bold attempt to rival OpenAI's GPT-4 with their creation, Gemini. From capabilities to implications, join me on a solo exploration of this competition that promises to redefine the landscape of advanced AI language models. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

Explore the latest AI advancements in January 2024. Discover Amazon's Diffuse to Choose, OpenAI's GPT-4 updates, Hugging Face & Google's collaboration, Adept's new model, and groundbreaking multimodal AI technologies. Dive into the week's major AI developments, from new models to innovative applications, in our comprehensive podcast roundup.Subscribe for weekly updates and deep dives into artificial intelligence innovations.✅ Don't forget to Like, Comment, and Share this video to support our content.

This Day in Legal History: Thurgood Marshall DiesOn January 24, 1993, the United States lost one of its most influential legal figures, retired Supreme Court Justice Thurgood Marshall. His death in Bethesda, Maryland, marked the end of an era in American jurisprudence. Born on July 2, 1908, in Baltimore, Maryland, Marshall's journey to becoming the first African American Supreme Court Justice was paved with groundbreaking legal battles and an unwavering commitment to civil rights.Before his appointment to the Supreme Court in 1967 by President Lyndon B. Johnson, Marshall had already made a significant impact as a lawyer. He served as the chief counsel for the National Association for the Advancement of Colored People (NAACP), where he strategized and won a series of critical court cases that chipped away at the legal foundations of racial segregation. His most famous case, Brown v. Board of Education of Topeka in 1954, ended with the Supreme Court's unanimous decision declaring state laws establishing separate public schools for black and white students to be unconstitutional, effectively overturning the "separate but equal" doctrine of Plessy v. Ferguson.During his tenure on the Supreme Court, Marshall became known for his passionate advocacy for individual rights and his opposition to the death penalty. His legal opinions, both majority and dissenting, reflected his deep-seated belief in equality and justice for all. He often stressed the importance of viewing the Constitution as a dynamic, living document, capable of adapting to changing societal needs and values.Marshall's impact extends beyond his legal victories; he paved the way for greater diversity in the legal profession and on the bench. His life and career remain a testament to the power of the law as a tool for social change and continue to inspire generations of lawyers, activists, and citizens.His death was not just the loss of a great legal mind but also the end of an era that saw significant strides in civil rights and social justice. As we remember Justice Thurgood Marshall on this day, his legacy serves as a reminder of the ongoing struggle for equality and the enduring power of dedicated individuals to bring about change in society.Brown, Yale, and Columbia universities, along with Emory and Duke, have agreed to pay a total of $62 million to settle a lawsuit accusing them of favoring wealthy applicants, bringing the total settlements in the case to $118 million. This lawsuit, filed against several U.S. universities, alleges they conspired to restrict financial aid and violated a pledge to not consider students' financial status in admissions, effectively giving an advantage to wealthy students. The universities, including those that have settled, deny any wrongdoing. The settlements vary, with Yale and Emory paying $18.5 million each, Brown $19.5 million, and Columbia and Duke $24 million each. The lawsuit, still involving 10 other universities like Cornell and the University of Pennsylvania, is pending approval from U.S. District Judge Matthew Kennelly, who previously declined to dismiss the case in 2022.Brown, Yale, Columbia among latest to settle financial-aid lawsuit | ReutersGoogle has settled a patent infringement lawsuit with Singular Computing, averting a trial that was set to begin with closing arguments. The lawsuit, filed in 2019, sought $1.67 billion in damages, accusing Google of misusing Singular's computer-processing innovations in its artificial intelligence (AI) technology. Singular, founded by Joseph Bates, alleged that Google incorporated its technology into processing units used in various Google services like Google Search, Gmail, and Google Translate.The dispute centered around Google's Tensor Processing Units (TPUs), introduced in 2016 to enhance AI capabilities in tasks like speech recognition and ad recommendation. Singular claimed that the second and third versions of these units, released in 2017 and 2018, infringed on its patents. According to the lawsuit, Bates shared his inventions with Google between 2010 and 2014, suggesting that Google's TPUs copied his technology.Internal emails revealed during the trial indicated Google's interest in Bates' ideas, with the company's now-chief scientist, Jeff Dean, acknowledging their potential utility. However, Google maintained that its employees who designed the TPUs had never met Bates and developed the technology independently, arguing that its tech was fundamentally different from what was described in Singular's patents.Details of the settlement have not been disclosed, and representatives from both Google and Singular have confirmed the settlement without providing further information. Google spokesperson Jose Castaneda expressed satisfaction with the resolution, emphasizing that Google did not violate Singular's patent rights.Google settles AI-related chip patent lawsuit that sought $1.67 bln | ReutersGoogle Settles AI Chip-Design Suit That Had Sought BillionsSpellbook, a Canada-based legal software company specializing in contract management, has secured $20 million in Series A funding, led by Montreal's Inovia Capital. Other investors include The Legaltech Fund, Bling Capital, and Thomson Reuters Ventures. The company's product, built on OpenAI's GPT-4, assists corporate and commercial lawyers with contract drafting and review by suggesting language and negotiation points.The legal AI sector is experiencing a surge in investment as startups introduce tools designed to integrate generative AI into legal processes. However, the market remains highly competitive with no clear leader yet emerging. Spellbook's CEO, Scott Stevenson, highlighted the company's focus on serving small to midsize law firms and solo practitioners, though it has also attracted larger firms and in-house legal teams.Spellbook's clientele includes diverse organizations such as Addleshaw Goddard, KMSC Law, Carbon Chemistry, and ATEM Capital. The company, initially named Rally at its inception in 2019, rebranded to Spellbook after a $10.9 million seed round in June 2023 and shifted focus from automating routine legal tasks to AI-driven contract management.The legal technology sector is witnessing increased investor interest, particularly since the advent of generative AI technologies. Other firms in the sector, such as Norm AI and Robin AI, have also recently raised substantial funding, indicating a growing trend in the investment and development of legal AI tools.Legal AI startup Spellbook raises $20 mln as sector draws more investments | ReutersThe Securities and Exchange Commission (SEC) has introduced new rules for deals involving special purpose acquisition companies (SPACs), aiming to enhance investor protections and align these transactions more closely with traditional initial public offerings (IPOs). This regulatory change comes as SPACs, which surged in popularity during the COVID-19 pandemic as an alternative public listing method, have recently lost favor. The new rules revoke certain legal protections previously afforded to SPAC sponsors, making them more susceptible to lawsuits over exaggerated statements. These regulations also demand increased disclosures, particularly concerning forward-looking projections in the later stages of SPAC deals.By way of very brief background, a SPAC is an alternative to the traditional IPO process for a company seeking to go public. A SPAC is essentially a shell company that raises funds through an IPO with the sole intent of acquiring or merging with an existing private company, thereby taking that company public. Unlike traditional IPOs, where a company goes public based on its own assets and operations, a SPAC has no commercial operations and is created solely for the purpose of acquiring a private company. This process allows the target company to become publicly traded more quickly and with potentially less regulatory scrutiny than the traditional IPO route. Additionally, SPACs offer more certainty regarding valuation and financing compared to traditional IPOs.SEC Chair Gary Gensler emphasized the need for robust investor protections, regardless of the method used for going public. The SEC's heightened scrutiny and macroeconomic factors like rising interest rates have already cooled the once-booming SPAC market. Major financial institutions such as Goldman Sachs and Bank of America reduced their involvement in SPACs following the SEC's initial proposal of these changes.The SEC's new requirements include detailed disclosures from SPAC sponsors about potential conflicts of interest, compensation, and dilution. Companies targeted by SPACs must now register with the SEC and fulfill additional disclosure obligations before merging. Furthermore, these target companies are now jointly liable for the information shared with investors and must provide independently audited financial statements. The SEC's Republican Commissioner Mark Uyeda criticized the rules as overly burdensome, suggesting they might effectively end the SPAC market. The new regulations will take effect in over four months, with additional financial reporting and accounting requirements for SPAC transactions also being implemented.SEC Imposes New Rules on Blank-Check Deals as SPACs Fizzle (2) Get full access to Minimum Competence - Daily Legal News Podcast at www.minimumcomp.com/subscribe

Netflix is getting into the live event business in a big way by buying the rights to WWE wrestling. We have the first political ad incident of the AI era. Who's really doing all the buying on apps like Shein and Temu? OpenAI struggles to fend of an army of girlfriend bots. And let me introduce you to Palworld.Sponsors:Notion.com/rideTryFum.com/ride and code rideLinks:Netflix Pays $5 Billion for ‘Raw' in Bet on Live Events (Bloomberg)Fake Joe Biden robocall tells New Hampshire Democrats not to vote Tuesday (NBCNews)iOS 17.3 is out, adding Stolen Device Protection for your iPhone (The Verge)Temu's Most Loyal Shoppers Are Actually Boomers and Gen Xers (Bloomberg)OPENAI STRUGGLING TO DESTROY ONSLAUGHT OF AI GIRLFRIENDS (The Byte)AI girlfriend bots are already flooding OpenAI's GPT store (QZ)The Rise of Palworld: How ‘Pokémon With Guns' Became an Overnight Hit (Wired)Palworld is a hit, and it's easy to see why (The Verge)Video of me flirting with an AI "girlfriend" botYouTube of Saturday's Bonus Episode with Baratunde ThurstonSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

News:Paige - ReScript 11.0 - a TS competitorJack - Donut componentsMatteo Frana: React, where are you going?Cassidy Williams: Kind of annoyed at ReactTJ - OpenAI launches a GPT Store & Netlify's exampleWhat Makes Us Happy this Week:Paige - Fargo TV series and JustThe Recipe.comJack - The Marvels movieTJ - Paprika appJoin Us: Thanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, reach out to us via email or Tweet us on X @front_end_fire.Blue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fire

In this episode, we take a peek behind the curtain of ChatGPT's latest advancements with new features and explore the strategic vision of OpenAI as they file for the GPT-5 trademark, uncovering the threads that weave the narrative of the next chapter in language models. Invest in AI Box: ⁠https://Republic.com/ai-box⁠ Get on the AI Box Waitlist: ⁠https://AIBox.ai/⁠ ⁠AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

Florian and Esther discuss the language industry news of the week, with Super Early Bird ending soon for SlatorCon Remote March and a save-the-date announcement for SlatorCon London, scheduled in person for May 23, 2024.Florian talks about how translation GPTs are becoming increasingly available on OpenAI's GPT store, highlighting the ease of building these models and the payment model for creators. The duo touches on the topic of AI-generated lip-synced translations, using the example of a machine-translated speech by Argentina's new president at the World Economic Forum and debating its ethical implications.Esther's M&A and funding corner features the acquisition of Systran by ChapsVision, the sale of Balthasar Ltd. to Translate.One, and the USD 18 million Series B funding round by Contents.com.

TikTok sued, more bad weather on the way, and its been a week since the opening of OpenAI's GPT store and users are already breaking the rules!See omnystudio.com/listener for privacy information.

We tried to cover what was released at CES this year, but it all seems expensive or does not solve any problems we have. Hopefully, we'll be there next year to bring you the good stuff. Dave starts the show off with a helpful protip to make space on your iPhone, and we've got some great picks at the end, enjoy! Watch on YouTube! Dave's Pro Tip of the Week:  Keep up with storage management on iOS  (00:00) Followup: Notnerd 8th-anniversary - Episode 1: Define Notnerd/ 17th anniversary of iPhone announcement (11:50) Microsoft launches Copilot Pro for $20 per month per user (15:15) Cryptowatch - Traders flock to US crypto products after spot ETF Bitcoin approvals (18:25) SEC's X account compromise was ‘not due to any breach of X's systems,' company says (22:05) Just the headlines: (23:50) AI girlfriend bots are already flooding OpenAI's GPT store Lazy use of AI leads to Amazon products called “I cannot fulfill that request” 'Technical glitch' in payroll software sparks riots in Papua New Guinea Japan startup eyes fusion laser to shoot down space junk from ground Volkswagen says it's putting ChatGPT in its cars for ‘enriching conversations' AI-Generated George Carlin Drops Comedy Special Takes: The best tech gadgets at CES 2024 (26:20) The weirdest tech and gadgets at CES 2024 (41:30) These are the most dangerous products from CES 2024, according to privacy and environmental advocates (44:50) Bonus Odd Take: Rigged Coin Flip (47:40) Picks of the Week:  Dave: GoveeLife E-Ink Bluetooth Thermometer Hygrometer, Smart Digital Indoor Wireless Temperature Humidity Sensor with Alert, Free Data Storage Export, for Home Room Greenhouse Wall, 1 Pcak with Battery (49:00) Nate: BLUETTI Portable Power Station EB3A, 268Wh LiFePO4 Battery Backup w/ 2 600W 1200W Surge AC Outlets, Recharge from 0-80% in 30 Min., Solar Generator for Outdoor Camping Solar Panel Optional (52:50) Ramazon™ purchase (57:25) Find us elsewhere: https://notpicks.com https://www.notnerd.com https://www.youtube.com/c/Notnerd https://ratethispodcast.com/notnerd https://www.tiktok.com/@notnerdpod https://www.twitter.com/n0tnerd/ https://www.instagram.com/n0tnerd https://www.facebook.com/n0tnerd/ info@Notnerd.com Call or text 608.618.NERD(6373) If you would like to help support Notnerd financially, mentally, or physically, don't hesitate to get in touch with us via any of the methods above. Consider any product/app links to be affiliate links.

Gast in der heutigen Folge des BVL Podcasts ist Prof. Dr. Dr. h.c. Michael ten Hompel, Geschäftsführender Institutsleiter des Fraunhofer IML, Ordinarius des Lehrstuhls für Förder- und Lagerwesen der TU Dortmund, Direktor des Lamarr-Instituts in Dortmund und Mitglied des Wissenschaftlichen Beirats der BVL. Michael und sein Team forschen und arbeiten an nahezu allen großen Themen, die die Logistik und die Supply Chain in den kommenden Jahren grundlegend verändern werden. Dementsprechend facettenreich ist auch Michaels Gespräch mit unserem Host Boris Felgendreher geworden. Unter anderem geht es um folgende Themen: - Die aktuelle Entwicklung des Fraunhofer IML und ob das Institut inzwischen auch von Kürzungen öffentlicher Mittel betroffen ist - Die wichtigsten Forschungsgebiete in denen Michael mit seinen Teams tätig ist - Michael hat schon vor Jahren davor gewarnt, dass Deutschland bei der Digitalisierung den Anschluß verliert. Wo stehen wir heute? - Die großen Durchbrüche bei der Künstlichen Intelligenz und die Bedeutung der großen Sprachmodelle wie OpenAI's GPT-4 für Logistik und Supply Chain Management - Was es mit dem Digitalen Kontinuum auf sich hat, das die Zukunft der Logistik grundlegend verändern wird - Was trianguläre KI ist und warum das IML gemeinsam mit dem Lamarr-Institut in Dortmund daran forscht - Wie trianguläre KI in der Logistik zum Einsatz kommen kann - Das Projekt @ILO, für das das Fraunhofer IML gemeinsam mit Dachser den Deutschen Logistik Preis gewonnen hat - Was der EvoBOT kann und warum ein Video von diesem Transportroboter der nächsten Generation auf YouTube über 50 Millionen mal aufgerufen wurde - Die Bedeutung von Open Source und der Open Logistics Foundation - Warum es in der Logistik immer noch diese riesige Diskrepanz gibt, zwischen dem was technisch möglich ist und was tatsächlich in der Praxis flächendeckend im Einsatz ist - und vieles mehr Hilfreiche Links: Prof. Michael ten Hompel auf LinkedIn: https://www.linkedin.com/in/tenhompel/ Das Fraunhofer IML: https://www.iml.fraunhofer.de/ Der EvoBOT auf YouTube: https://www.youtube.com/shorts/SKbzSCwKNEE Boris Felgendreher auf LinkedIn: https://www.linkedin.com/in/borisfelgendreher/ Metro Logistics, Sponsor des BVL Podcasts: Metro Logistics Logistikzentrum Marl Webseite: https://www.metro-logistics.de/logistikzentrum-marl Metro Logistics Logistikzentrum Marl Standortflyer: https://www.metro-logistics.de/hubfs/Standortflyer/METRO-LOGISTICS-Standortflyer-Marl.pdf Virtueller Rundgang durch das Logistikzentrum Marl: https://www.metro-logistics.de/registrierung-virtueller-rundgang BVL: https://www.bvl.de/

You can now publish a bespoke version of ChatGPT that you've trained yourself. The marketplace for these custom GPTs is open to the public and works in a way that's similar to Apple's App Store. Read this story here. Learn more about your ad choices. Visit megaphone.fm/adchoices

Plus, CES 2024 has arrived, and I'm diving into this year's top tech picks, like Samsung's new robot Ballie and Kohler's bidet that you can talk to. Also, be sure not to miss my conversation with Christopher Stott, CEO of Lonestar, a startup that's sending data servers to the moon!

Plus, CES 2024 has arrived, and I'm diving into this year's top tech picks, like Samsung's new robot Ballie and Kohler's bidet that you can talk to. Also, be sure not to miss my conversation with Christopher Stott, CEO of Lonestar, a startup that's sending data servers to the moon!

In this episode, we dive into Google's ambitious move to compete head-to-head with OpenAI's GPT-4, exploring the features, strategies, and potential impact of Gemini. Join me as we unravel the tech rivalry shaping the next era of advanced language models. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: https://AIBox.ai/ AI Facebook Community Learn About ChatGPT Learn About AI at Tesla

The Bitcoin ETFs are here. For real, this time. OpenAI's GPT store is here. Surprising new layoffs at Google. Netflix continues to show signs that ads are working for them. The Rabbit R1 continues to be a shocking success. And say hello to an AI George Carlin.Sponsors:Miro.com/podcastLinks:US SEC approves bitcoin ETFs in watershed for crypto market (Reuters)Gary Gensler's Begrudging Bitcoin ETF Concession: 'We Did Not Approve or Endorse Bitcoin' (CoinDesk)Google lays off hundreds working on its voice-activated assistant (Semafor)Google reorganizing Pixel hardware: Fitbit's James Park leaving, layoffs hit AR team (9to5Google)Google Cuts Hundreds of Jobs in Engineering and Other Divisions (NYTimes)OpenAI Launches New Store For Users to Share Custom Chatbots (Bloomberg)Netflix's Ad Tier Now Has More Than 23 Million Monthly Active Users, Advertising Chief Says (Variety)X removes support for NFT profile pictures (TechCrunch)AI-Generated ‘George Carlin' Comedy Special Blasted by Comedian's Daughter (RollingStone)See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this SIG Share-Out episode, LMA Client Value SIG Co-Chair Jennifer Griffin Scotton is joined by Tony DeSimone, president of You're the Expert Now, LLC, to discuss the revolutionary capabilities of ChatGPT and how legal marketers can leverage artificial intelligence (AI) to deliver value to their clients. Tune into this discussion about the revolutionary impact of ChatGPT on the legal marketplace, ways to leverage the tool beyond content generation and current use cases in the legal sector. They also address ethical considerations and share future developments to expect from OpenAI's GPT models. Speakers: Tony DeSimone, President, You're the Expert Now Jennifer Griffin Scotton, Chief Marketing Officer, Constangy Series Description: The LMA SIG Share-Out series spotlights episodes from one or more of LMA's 10 Shared Interest Groups. This series features best practices, education and more on the hottest topics in legal marketing.

OpenAI's GPT Store, new generative AI-powered experiences for Amazon's Alexa, and breakthroughs in video and language modeling with "MagicVideo-V2" and "Lightning Attention-2". Contact:  sergi@earkind.com Timestamps: 00:34 Introduction 01:42 OpenAI's custom GPT Store is now open for business 03:16 Amazon's Alexa gets new generative AI-powered experiences 05:03 Remember Netflix's $1m algorithm contest? Well, here's why it didn't use the winning entry. 06:34 Fake sponsor 08:10 MagicVideo-V2: Multi-Stage High-Aesthetic Video Generation 09:40 Masked Audio Generation using a Single Non-Autoregressive Transformer 11:18 Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models 13:18 Outro

Explore with me in this episode Google's entry into the AI realm with Gemini, their competitor to OpenAI's GPT-4, and how this development could reshape the AI market. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ AI Facebook Community Learn more about AI in Video Learn more about Open AI

Discover the disruptive potential of OpenAI's GPT-4 in the landscape of content moderation. In this episode, I discuss the promises, challenges, and ramifications associated with using this cutting-edge AI model for automated content oversight. Invest in AI Box: https://Republic.com/ai-box Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ AI Facebook Community Learn more about AI in Video Learn more about Open AI

This new article highlights transformative developments in artificial intelligence during 2023, spotlighting the emerging achievements and challenges. It underscores the rapid advancement in multimodal AI capabilities, with OpenAI's GPT-4 and Google DeepMind's Gemini at the forefront. It also discusses these technologies' implications for cybersecurity, information governance, and eDiscovery. The article explores themes such as the rise of generative AI, AI alignment with human values, the evolution of Embodied AI, and the socio-economic impacts of AI advancements. It also touches upon the complex challenges professionals in cybersecurity, information governance, and eDiscovery face as AI evolves. The post AI in 2023: A Year of Multimodal Innovations and Societal Reflection appeared first on ComplexDiscovery.

Join us in "AI in 2024" where hosts Ardis Kadiu and Dr. JC Bonilla dive into the exhilarating world of AI advancements expected in 2024. This episode unpacks the rapid progress in AI technologies, from large language models to multimodal AI, and predicts how these developments will revolutionize consumer experience, education, and creativity.https://generationaishow.com/Full Episode Notes:IntroductionHosts Ardis and Dr. JC Bonilla reminisce about their journey in AI and technology.The episode aims to forecast AI developments for 2024, building on 2023's rapid technological advancements.Review of 2023 in AIRecap of 2023's significant acceleration in foundational AI technology.The societal adoption lag and unexplored impacts on society.2024 Predictions: The Battle of Large Language Models (LLMs)Expectation of open source models like Llama2 and Mistral catching up to GPT-4.Google's multimodal Gemini and its potential impact.Predicted advancements in multimodal capabilities, including auditory and visual understanding.Discussion on the potential supremacy of OpenAI's GPT-5 or 4.5 in 2024.Consumer Perspective and Technology IntegrationAnticipation of more structured and mainstream adoption of AI technologies in consumer products.Creative AI and Deep FakesThe surge in AI-driven content creation, particularly in the realm of video and text editing.Discussion on generative AI's role in revolutionizing the creative process and its implications for content production.Personalized AI and Conversational InterfacesPredictions about conversational AI becoming more nuanced and empathetic.Speculation on the evolution of AI assistants, likening them to characters from science fiction, such as in the movie "Her".Apple's Role in AI DevelopmentDiscussion on Apple's potential contributions to AI in 2024, focusing on privacy and device integration.Speculation on how Apple might integrate AI into its ecosystem.AI in Education and Higher EducationAnticipated impact of AI in enhancing student experiences and administrative efficiency.The rise of AI teaching assistants and personalized learning experiences.Productivity and AI IntegrationDiscussion on integrating advanced AI capabilities into everyday tools for enhanced productivity.The future of content creation and distribution using AI, with a focus on automation.ConclusionRecap of the discussed topics and their implications for 2024.Closing thoughts on the potential realization of these predictions in the near future.

I made an AI golf caddy GPT in OpenAI's GPT creator and it worked like a charm on the golf course. Here's how to create a custom GPT of your own to do just about anything.

I made an AI golf caddy GPT in OpenAI's GPT creator and it worked like a charm on the golf course. Here's how to create a custom GPT of your own to do just about anything.

Many of the core technologies behind Generative AI are not exactly brand new. For example, the "Attention Is All You Need" paper, which described and introduced the Transformer model (the "T" in ChatGPT), was published in 2017. Diffusion models—the backbone of image generation tools like StableDiffusion and DALL-e—were introduced in 2015 and were originally inspired by thermodynamic modeling techniques. Generative adversarial networks (GANs) were introduced in 2014.However, Generative AI has seemingly taken the world by storm over the past couple years. In this episode, Graham and Jason discuss—in broad strokes—what Generative AI is, what's required to train and run foundation models, where the value lies, and frontier challenges.Fact-Checking And CorrectionsBefore we begin...At around 36:16 Jason said that the Pile was compiled by OpenAI or one of its research affiliates. This is not correct. The Pile was compiled by Eleuther.ai, and we couldn't find documentation suggesting that OpenAI incorporates the entirety of The Pile into its training data corpus.At 49:07 Jason mentions "The Open Source Institute" but actually meant to mention the Open Source InitiativeApplied Machine Learning 101Not all AI and applied machine learning models are created equally, and models can be designed to complete specific types of tasks. Broadly speaking, there are two types of applied machine learning models: Discriminative and Generative.Discriminative AIDefinition: Discriminative AI focuses on learning the boundary between different classes of data from a given set of training data. Unlike generative models that learn to generate data, discriminative models learn to differentiate between classes and make predictions or decisions based on the input data.Historical Background TLDR:The development of Discriminative AI has its roots in statistical and machine learning approaches aimed at classification tasks.Logistic regression and Support Vector Machines (SVMs) are early examples of discriminative models, which have been used for many years in various fields including computer vision and natural language processing.Over time, with the development of deep learning, discriminative models like Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs) have become highly effective for a wide range of classification tasks.Pop Culture Example(s):"Hotdog vs. Not a Hotdog algorithm" from HBO's Silicon Valley (S4E4)Image recognition capabilities of something like Iron Man alter ego Tony Stark's JARVIS (2008)**Real-World Example(sAutomatic speech recognition (ASR)Spam and abuse detectionFacial recognition, such as Apple's Face ID and more Orwellian examples in places ranging from China to EnglandFurther Reading:Discriminative Model (Wikipedia)Generative AIDefinition: Generative AI refers to a type of artificial intelligence that is capable of generating new data samples that are similar to a given set of training data. This is achieved through algorithms that learn the underlying patterns, structures, and distributions inherent in the training data, and can generate novel data points with similar properties.Historical Background TLDR:The origins of Generative AI can be traced back to the development of generative models, with early instances including probabilistic graphical models in the early 2000s.However, the field truly began to gain traction with the advent of Generative Adversarial Networks (GANs) b y Ian Goodfellow and his colleagues in 2014.Since then, various generative models like Variational Autoencoders (VAEs) and others have also gained prominence, contributing to the rapid advancement of Generative AI.Pop Culture Example:The AI from the movie Her (2013)Real-World Example(s):OpenAI's GPT family, alongside image models like StableDiffusion, and Midjourney.Further Reading:Deepgram's Generative AI page in the AI Glossary... co-written by Jason and GPT-4.Large Language Model in the Deepgram AI Glossary... also co-written by Jason and GPT-4.The Physics Principle That Inspired Modern AI Art (Anil Ananthaswamy, for Quanta Magazine)Visualizing and Explaining Transformer Models From the Ground Up (Zian "Andy" Wang for the Deepgram blog, January 2023)Transformer Explained hub on PapersWithCodeTransformers, Explained: Understand the Model Behind GPT-3, BERT, and T5 (Dale Markowitz on his blog, Dale on AI., May 2021)Further Reading By TopicIn rough order of when these topics were mentioned in the episode...Economic/Industry Impacts of AIHow Large Language Models Will Transform Science, Society, and AI (Alex Tamkin and Deep Ganguli for Stanford HAI's blog, February 2021)The Economic Potential of Generative AI: The Next Productivity Frontier ( McKinsey & Co., June 2023)Generative AI Could Raise Global GDP by 7% (Goldman Sachs, April 2023)Generative AI Promises an Economic Revolution. Managing the Disruption Will Be Crucial. (Bob Fernandez for WSJ Pro Central Banking, August 2023)The Economic Case for Generative AI and Foundation Models (Martin Casado and Sarah Wang for the Andreessen Horowitz Enterprise blog, August 2023)Generative AI and the software development lifecycle(Birgitta Böckeler and Ryan Murray for Thoughtworks, September 2023)How generative AI is changing the way developers work (Damian Brady for The GitHub Blog, April 2023)The AI Business Defensibility Problem (Jay F. publishing on their Substack, The Data Stream)Using Language Models EffectivelyThe emerging types of language models and why they matter (Kyle Wiggers for TechCrunch, April 2023) Crafting AI Commands: The Art of Prompt Engineering (Nithanth Ram for the Deepgram blog, March 2023)Prompt Engineering (Lilian Weng on her blog Lil'Log, March 2023)Prompt Engineering Techniques: Chain-of-Thought & Tree-of-Thought (both by Brad Nikkel for the Deepgram blog)11 Tips to Take Your ChatGPT Prompts to the Next Level (David Nield for WIRED, March 2023)Prompt Engineering 101 (Raza Habib and Sinan Ozdemir for the Humanloop blog, December 2022)Here There Be DragonsHallucinationsHallucination (artificial intelligence) (Wikipedia)Chatbot Hallucinations Are Poisoning Web Search (Will Knight for WIRED, October 2023)How data poisoning attacks corrupt machine learning models (Lucian Constantin for CSO Online)Data Poisoning & RelatedData Poisoning hub on PapersWithCodeGlaze - Protecting Artists from Generative AI project from UChicago (2023)Self-Consuming Generative Models Go MAD (Alemohammad et al. on ArXiv, July 2023)What Happens When AI Eats Itself (Tife Sanusi for the Deepgram blog, August 2023)The AI is eating itself (Casey Newton for Platformer, June 2023)AI-Generated Data Can Poison Future AI Models (Rahul Rao for Scientific American, July 2023)Intellectual Property and Fair UseMeasuring Fair Use: The Four Factors - Copyright Overview (Rich Stim for the Stanford Copyright and Fair Use Center)Is the Use of Copyrighted Works to Train AI Qualified as a Fair Use (Cala Coffman for the Copyright Alliance blog, April 2023)Reexamining "Fair Use" in the Age of AI (Andrew Myers for Stanford HAI)Copyright Fair Use Regulatory Approaches in AI Content Generation (Ariel Soiffer and Aric Jain for Tech Policy Press, August 2023)Japan's AI Data Laws, Explained (Deeplearning.ai)PDF: Generative Artificial Intelligence and Copyright Law (Congressional Research Center, September 2023)Academic and Creative "Honesty"How it started. New AI classifier for indicating AI-written text (Kirchner et al., January 2023)How it's going. OpenAI Quietly Shuts Down Its AI Detection Tool (Jason Nelson for Decrypt)AI Homework (Ben Thompson on Stratechery, December 2022)Teaching With AI (OpenAI, August 2023)Human Costs of AI Training (Picking on OpenAI here, but RLHF and similar fine-tuning techniques are employed by many/most LLM developers)Cleaning Up ChatGPT Takes Heavy Toll on Human Workers (Karen Hao and Deepa Seetharaman for the Wall Street Journal)‘It's destroyed me completely': Kenyan moderators decry toll of training of AI models (Niamh Rowe in The Guardian, August 2023)He Helped Train ChatGPT. It Traumatized Him. (Alex Kantrowitz in his publication Big Technology, May 2023)https://www.nytimes.com/2023/09/25/technology/chatgpt-rlhf-human-tutors.htmlBig QuestionsOpen questions for AI engineering (Simon Willison, October 2023)Adam Smith and the Pin Factory

Today, we are delving into the artistic aspect of artificial intelligence with Matt Swalley, one of the founders and the Chief Business Officer of Omneky. Omneky serves as an AI-based marketing platform that generates and optimizes personalized advertisement creations to enhance sales across all digital interactions. Utilizing the powerful capabilities of OpenAI's GPT-4, DALLE-2, and their own exclusive algorithms, Omneky's platform empowers clients to analyze the aesthetic preferences of their target audiences and effectively manage a multitude of AI-generated advertisements tailored to drive conversions for each customer profile. In this episode Matt explains how artificial intelligence is being used in the creative advertising space; the challenges associated with content creation, distribution and engagement; and more!   About the Host: Dave Bookbinder is the person that clients reach out to when they need to know what their most important assets are worth. He's a corporate finance executive with a focus on business and intellectual property valuation. Known as a collaborative adviser, Dave has served thousands of client companies of all sizes and industries.    Dave is the author of two #1 best-selling books about the impact of human capital (PEOPLE!) on the valuation of a business enterprise called The NEW ROI: Return On Individuals & The NEW ROI: Going Behind The Numbers.    He's on a mission to change the conversation about how the accounting world recognizes the value of people's contributions to a business enterprise, and to quantify what every CEO on the planet claims: “Our people are this company's most valuable asset.”  

Adversarial algorithms can systematically probe large language models like OpenAI's GPT-4 for weaknesses that can make them misbehave. Read the story here.

Warning: This episode contains some explicit language. Google's new artificial intelligence model ‘Gemini' is out. It's advertised as America's next top A.I. model. Kevin and Casey ask, is it really better than OpenAI's GPT-4? Then, by some estimates millions of people pre-ordered Tesla's Cybertruck, but has Elon Musk's recent behavior soured people on the brand? And finally, more A.I. news you may have missed. Additional Reading: Google is chasing ChatGPT with the launch of Gemini.Even if people cancel their Cybertruck pre-orders, it could still be massively successful.A new A.I. development may help fight wine fraud.Amazon's new enterprise chatbot had a “severe hallucinations” problem.OpenAI blocked a prompt that would cause ChatGPT to regurgitate its training data.Mountain Dew's latest marketing stunt had an A.I. watching Twitch streams.

Microsoft Bing is getting a new “Deep Search” feature powered by OpenAI's GPT-4.

This episode is sponsored by ISS, a leading global provider of video intelligence and data awareness solutions. ISS offers a robust portfolio of AI-powered, high-trust video analytics for streamlining security, safety and business operations within a wide range of vertical markets. So, what do you want to know about your environment? To learn more about our video intelligence solutions, visit https://issivs.com/   On episode #155 of Eye on AI, Craig Smith sits down with Karen Hao, who is currently a contributing writer for The Atlantic with an impressive background as a foreign correspondent for The Wall Street Journal in Hong Kong and as a senior artificial intelligence editor at MIT Technology Review. Known for her incisive coverage of AI, including its ethical and societal implications, Hao brings a wealth of knowledge from her experiences in journalism and data science. In this episode, Karen delves into the recent controversies surrounding OpenAI, shedding light on the power struggles, ethical dilemmas, and corporate alliances shaping the future of artificial intelligence. Her unique perspective, gained from her experience as a foreign correspondent and senior AI editor, offers a deep understanding of the complexities that exist in the AI world. We explore the intricate narrative constructed by OpenAI, its relationship with giants like Microsoft, and the broader implications of these partnerships on AI development and ethics. Karen's critical analysis provides an insightful look into the often opaque world of AI and its global impact. If you find this discussion as enlightening as we did, please consider leaving a 5-star rating on Spotify and a review on Apple Podcasts.   Stay Updated: Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI   (00:00) Preview and Introduction (02:28) Karen Hao's Background and Entry into Tech Journalism (09:14) OpenAI's GPT-2 Controversy and Company Evolution (11:35) Nonprofit and For-Profit Structure of OpenAI (15:26) OpenAI Board Dynamics and Power Struggles (18:07) Transparency and Open Source in AI Development (21:27) Future of OpenAI and Tech Industry Speculations (26:22) Microsoft's Investment and Partnership with OpenAI (31:28) Sam Altman's Potential Chip Company Endeavor (33:20) AGI Speculations and Existential Risks (34:38) AGI Definitions and Real-World AI Limitations  

One AI startup's undoing is another's opportunity. Case in point: today, AI21 Labs, a company developing generative AI products along the lines of OpenAI's GPT-4 and ChatGPT, closed a $53 million extension to its previously-announced Series C funding round.

One AI startup's undoing is another's opportunity. Case in point: today, AI21 Labs, a company developing generative AI products along the lines of OpenAI's GPT-4 and ChatGPT, closed a $53 million extension to its previously-announced Series C funding round. 

Today on the show, Steven and Shaun find out about Annie, an innovative Braille learning tool. Developed by Thinkerbell Labs and distributed by HumanWare in the UK, it promises to make learning Braille an enjoyable experience for children as they can learn on their own, although it can also be used in a classroom environment. Andrew Flatres from HumanWare joins the guys to shed light on Annie's functionality, design elements, and educational value. There's also a chat about the AI Pin by Humane, which is being launched today. It's a remarkable wearable AI assistant that lets users perform tasks like making calls, sending texts, and identifying objects using an onboard camera, all through voice commands and without the need for a screen. The AI Pin, powered by OpenAI's GPT, stands out for its commitment to user privacy and represents a significant step towards more accessible tech solutions for those with visual impairments. There are more of your comments too, with listeners sharing more of their relatable experiences and stories from the blind community, including insights on sighted guide techniques and the challenges of navigating public spaces. Get in touch with the Double Tappers and join the conversation: Email: feedback@doubletaponair.com Call: 1-877-803-4567 (Canada and USA) / 0204 571 3354 (UK) X: @BlindGuyTech / @ShaunShed Mastodon: @DoubleTap

In this episode, we delve into OpenAI's introduction of the GPT Store, a new platform that allows developers to build and monetize their own GPT-based applications. We explore the potential this has for expanding the ecosystem of AI-powered software and the opportunities it presents for creators and entrepreneurs. Invest in AI Box: https://republic.com/ai-box Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Facebook Community: ⁠https://www.facebook.com/groups/739308654562189 Follow me on X: ⁠⁠https://twitter.com/jaeden_ai⁠⁠

Cindi Howson, Chief Data Strategy Officer at ThoughtSpot joins me in an enlightening episode of the Tech Talks Daily Podcast. With a career spanning over three decades in the analytics space, Cindi brings a wealth of knowledge and insight into the evolving world of business intelligence (BI) and the revolutionary impact of generative AI. In this episode, we delve into the transformative effects of generative AI on BI, discussing the significant advancements since the advent of OpenAI's GPT 3.5. They explore the nuanced shifts in data team roles and the emergence of new specializations, underscoring the importance of adapting to a rapidly changing landscape. The conversation takes a deep dive into the critical role of data literacy in businesses today. Cindi addresses the future of AI-powered analytics and the sectors poised for disruption. They don't shy away from the tough questions, tackling the ethical concerns of AI's integration into our daily decision-making processes and advocating for a balance of innovation with transparency and trust. As ThoughtSpot's mission to democratize data takes center stage,we also discuss the hurdles of cultural change within organizations. They emphasize the importance of design in crafting engaging and user-friendly data experiences, making analytics not just accessible but enjoyable for all users, regardless of technical expertise. Beyond the insights, this episode also gives listeners a glimpse into Cindi's illustrious career and her contributions to the field of data and analytics. As a thought leader and advocate for women in tech and AI ethics, Cindi's perspectives are not just informative but also deeply inspiring. Finally, Cindi shares 10 books on data, analytics, and AI that leaders should read in 2023

President Biden issued an executive order on Artificial Intelligence. How does the US government see AI today based on this executive order? What are the implications of Microsoft's breakthrough with their small AI model, Phi 1.5? And how social media influencers sharing news are starting to have more reach to a younger generation than legacy news outlets.  What does it mean by President Biden's issue of an executive order on Artificial Intelligence? Eric Geller of The Messenger breaks down the President's executive order that was signed earlier this week. Reed Albergotti of Semafor stops by to talk about Microsoft and their recent breakthrough on their small AI model, Phi 1.5, and how it compares to OpenAI's GPT-4. How is legacy media keeping up with news being broken and shared by influencers? Jason shares a fascinating article from Taylor Lorenz about how the economics of journalism have shifted heavily in recent years. And finally, Mikah talks about how AI was used maliciously to generate fake nudes of real students at a New Jersey high school and the urgent need for laws to keep pace with technology. Hosts: Jason Howell and Mikah Sargent Guests: Eric Geller and Reed Albergotti Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: expressvpn.com/tnw GO.ACILEARNING.COM/TWIT bitwarden.com/twit

President Biden issued an executive order on Artificial Intelligence. How does the US government see AI today based on this executive order? What are the implications of Microsoft's breakthrough with their small AI model, Phi 1.5? And how social media influencers sharing news are starting to have more reach to a younger generation than legacy news outlets.  What does it mean by President Biden's issue of an executive order on Artificial Intelligence? Eric Geller of The Messenger breaks down the President's executive order that was signed earlier this week. Reed Albergotti of Semafor stops by to talk about Microsoft and their recent breakthrough on their small AI model, Phi 1.5, and how it compares to OpenAI's GPT-4. How is legacy media keeping up with news being broken and shared by influencers? Jason shares a fascinating article from Taylor Lorenz about how the economics of journalism have shifted heavily in recent years. And finally, Mikah talks about how AI was used maliciously to generate fake nudes of real students at a New Jersey high school and the urgent need for laws to keep pace with technology. Hosts: Jason Howell and Mikah Sargent Guests: Eric Geller and Reed Albergotti Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: expressvpn.com/tnw GO.ACILEARNING.COM/TWIT bitwarden.com/twit

President Biden issued an executive order on Artificial Intelligence. How does the US government see AI today based on this executive order? What are the implications of Microsoft's breakthrough with their small AI model, Phi 1.5? And how social media influencers sharing news are starting to have more reach to a younger generation than legacy news outlets.  What does it mean by President Biden's issue of an executive order on Artificial Intelligence? Eric Geller of The Messenger breaks down the President's executive order that was signed earlier this week. Reed Albergotti of Semafor stops by to talk about Microsoft and their recent breakthrough on their small AI model, Phi 1.5, and how it compares to OpenAI's GPT-4. How is legacy media keeping up with news being broken and shared by influencers? Jason shares a fascinating article from Taylor Lorenz about how the economics of journalism have shifted heavily in recent years. And finally, Mikah talks about how AI was used maliciously to generate fake nudes of real students at a New Jersey high school and the urgent need for laws to keep pace with technology. Hosts: Jason Howell and Mikah Sargent Guests: Eric Geller and Reed Albergotti Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: expressvpn.com/tnw GO.ACILEARNING.COM/TWIT bitwarden.com/twit

President Biden issued an executive order on Artificial Intelligence. How does the US government see AI today based on this executive order? What are the implications of Microsoft's breakthrough with their small AI model, Phi 1.5? And how social media influencers sharing news are starting to have more reach to a younger generation than legacy news outlets.  What does it mean by President Biden's issue of an executive order on Artificial Intelligence? Eric Geller of The Messenger breaks down the President's executive order that was signed earlier this week. Reed Albergotti of Semafor stops by to talk about Microsoft and their recent breakthrough on their small AI model, Phi 1.5, and how it compares to OpenAI's GPT-4. How is legacy media keeping up with news being broken and shared by influencers? Jason shares a fascinating article from Taylor Lorenz about how the economics of journalism have shifted heavily in recent years. And finally, Mikah talks about how AI was used maliciously to generate fake nudes of real students at a New Jersey high school and the urgent need for laws to keep pace with technology. Hosts: Jason Howell and Mikah Sargent Guests: Eric Geller and Reed Albergotti Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: expressvpn.com/tnw GO.ACILEARNING.COM/TWIT bitwarden.com/twit

President Biden issued an executive order on Artificial Intelligence. How does the US government see AI today based on this executive order? What are the implications of Microsoft's breakthrough with their small AI model, Phi 1.5? And how social media influencers sharing news are starting to have more reach to a younger generation than legacy news outlets.  What does it mean by President Biden's issue of an executive order on Artificial Intelligence? Eric Geller of The Messenger breaks down the President's executive order that was signed earlier this week. Reed Albergotti of Semafor stops by to talk about Microsoft and their recent breakthrough on their small AI model, Phi 1.5, and how it compares to OpenAI's GPT-4. How is legacy media keeping up with news being broken and shared by influencers? Jason shares a fascinating article from Taylor Lorenz about how the economics of journalism have shifted heavily in recent years. And finally, Mikah talks about how AI was used maliciously to generate fake nudes of real students at a New Jersey high school and the urgent need for laws to keep pace with technology. Hosts: Jason Howell and Mikah Sargent Guests: Eric Geller and Reed Albergotti Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: expressvpn.com/tnw GO.ACILEARNING.COM/TWIT bitwarden.com/twit

President Biden issued an executive order on Artificial Intelligence. How does the US government see AI today based on this executive order? What are the implications of Microsoft's breakthrough with their small AI model, Phi 1.5? And how social media influencers sharing news are starting to have more reach to a younger generation than legacy news outlets.  What does it mean by President Biden's issue of an executive order on Artificial Intelligence? Eric Geller of The Messenger breaks down the President's executive order that was signed earlier this week. Reed Albergotti of Semafor stops by to talk about Microsoft and their recent breakthrough on their small AI model, Phi 1.5, and how it compares to OpenAI's GPT-4. How is legacy media keeping up with news being broken and shared by influencers? Jason shares a fascinating article from Taylor Lorenz about how the economics of journalism have shifted heavily in recent years. And finally, Mikah talks about how AI was used maliciously to generate fake nudes of real students at a New Jersey high school and the urgent need for laws to keep pace with technology. Hosts: Jason Howell and Mikah Sargent Guests: Eric Geller and Reed Albergotti Download or subscribe to this show at https://twit.tv/shows/tech-news-weekly. Get episodes ad-free with Club TWiT at https://twit.tv/clubtwit Sponsors: expressvpn.com/tnw GO.ACILEARNING.COM/TWIT bitwarden.com/twit

Discover the latest developments in ChatGPT as it unveils a host of exciting new features. OpenAI's filing of the GPT-5 trademark sets the stage for groundbreaking advancements in conversational AI. Join us as we delve into what these enhancements mean for the future of AI-powered conversations. 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

In this episode, we introduce and dissect the features of two emerging open source contenders that challenge the capabilities of OpenAI's 'multimodal' GPT-4V. Learn about their unique offerings, potential advantages, and how they might shape the future of AI technology. Investor Email: jaeden@aibox.ai Get on the AI Box Waitlist: ⁠⁠https://AIBox.ai/⁠⁠ Facebook Community: ⁠https://www.facebook.com/groups/739308654562189 Follow me on X: ⁠⁠https://twitter.com/jaeden_ai⁠⁠

October 18, 2023: David Ting, CTO and founder at Tausightjoins Bill for the news live from HLTH23. Can the sphere of cyber security keep up with the accelerated rate of AI technology innovation and what are the risks of adopting new technologies like OpenAI's GPT-4? As the digital landscape diversifies and grows, we confront the pressing question of how we can secure proliferating data, especially in the complex terrain of the cloud. Compounding these challenges, we reflect on the reputational and operational risks posed by large-scale data breaches and discuss potential mitigation strategies. How are organizations adapting to the financial pressures of maintaining an impregnable digital fortress? Join as they delve into these critical considerations within the ever-evolving landscape of cyber security.Key Points:Cyber Security ChallengesAI Technology InnovationRisks of Data MigrationReimagining Cyber SecuritySustaining Digital FortressesData Breach ImplicationsNews articles:Boards Still Lack Cybersecurity ExpertiseIntel pitches the 'AI PC' at software developer eventMGM, Caesars Cyberattack Responses Required Brutal ChoicesUnlock the full potential of AI in Healthcare with experts David Baker, Lee Milligan, and Reid Stephan on Nov 2nd, 1 PM ET. Learn to navigate budget constraints and enhance operational efficiency in healthcare IT. Don't miss out on affordable, scalable AI solutions and practical tips for success. Register Here.This Week Health SubscribeThis Week Health TwitterThis Week Health LinkedinAlex's Lemonade Stand: Foundation for Childhood Cancer Donate