
Location:
United States
Genres:
Technology Podcasts
Description:
The CodeKarate AI Podcast is the place to go to keep up with AI News while learning more about AI terminology and tools. Every day we hit your podcast feed with a short daily episode to keep you in the know about all things AI.
Language:
English
Episodes
Triple News Episode! AI updates from Meta, YouTube, and LinkedIn
8/2/2023
In this special 50th episode, the podcast discusses exciting developments in AI from tech titans Meta, YouTube, and LinkedIn. Meta is set to unveil AI-powered "personas" in its services, with distinct personalities aimed at boosting user engagement and enhancing its ad targeting capabilities. YouTube is experimenting with AI to auto-generate video summaries to help users gauge if a video aligns with their interests. LinkedIn is reportedly testing an AI-powered 'coach' to guide users in job search and networking, potentially reshaping job seeking, networking, and recruitment processes. However, the company has not officially confirmed the development. While AI advancements hold the promise of enhancing user experiences across these platforms, they also pose challenges and raise questions about their impact on users and creators. News: Meta's AI personas, YouTube AI summaries, and LinkedIn AI Coach
Duration:00:07:36
AI improvements to Google Assistant, Prompt Injection, and Developer quick picks
8/1/2023
In this podcast episode, we first explore Google Assistant's planned AI overhaul, as revealed in an internal email. The new Assistant aims to harness generative AI technologies, including large language model technology, for enhanced capabilities and user experiences. Amid this transformation, Google is restructuring its teams and anticipates some job losses. We also note that Amazon plans a similar upgrade for its digital assistant, Alexa. The second segment delves into Prompt Injection Attacks, a new form of cybersecurity threat affecting Large-Language Models (LLMs). These attacks manipulate prompts to produce unintended or harmful responses from LLM-based tools, with potentially severe consequences such as data breaches and unauthorized access. Solutions like Penetration testing as a Service (PtaaS) can help mitigate these risks. Lastly, we spotlight three developer tools: Tempo for building UIs with AI, Axilla, an opinionated LLM framework for TypeScript, and Hegal AI for evaluating prompts and LLMs. All three are backed by Y Combinator, highlighting the investment trend in AI dev tools. News: Term: Prompt Injection Tool: Tempo, Axilla, and
Duration:00:09:43
Deepmind’s RT-2, Transformer models, and DashAI
7/31/2023
In this episode, the focus was on the advancements in robotic learning by Google's DeepMind team. The team introduced RT-2, an innovation that builds upon its previous creation, the Robotics Transformer or RT-1. Unlike RT-1, which required extensive training to perform tasks, RT-2 can learn from relatively small datasets and apply these learnings to different scenarios, demonstrating a shift from strictly trained actions to a more abstract understanding of tasks. The episode also discussed the concept of transformer models in AI, their increasing relevance in fields ranging from translation to drug discovery, and the ongoing research to make them even more efficient. In the tools section, the AI-based chatbot DashAI by DoorDash, currently under testing, was explored. DashAI aims to provide personalized restaurant recommendations to users and potentially redefine food ordering. News: Google’s DeepMind team highlights new system for teaching robots novel tasks Term: What Is a Transformer Model? Tool: DoorDash working on AI Chatbot
Duration:00:09:32
Artifact adds AI voices, Cost vs Loss vs Objective Function, and OverflowAI
7/28/2023
Today's podcast discussed the introduction of an AI-powered text-to-speech feature in the news app Artifact, offering customizable, natural-sounding voices and celebrity narrations for reading news. It also detailed the nuanced differences between loss, cost, and objective functions in machine learning, emphasizing their roles in model prediction and optimization. Lastly, Stack Overflow's new initiatives under OverflowAI were introduced, aimed at improving search functionality through conversational questions and generative answers, while also offering an integration extension for Visual Studio Code in their enterprise offering, complementing existing AI tools like Microsoft's Github Copilot. News: Artifact adds AI voices Term: Cost vs. Loss vs. Objective Function Tool: StackOverflow introduces OverflowAI
Duration:00:08:18
Amazon Bedrock is making moves, MLOps, and more quick picks
7/27/2023
In this podcast episode, the spotlight is on Amazon's cloud division and its growing role in the world of AI. Amazon's Bedrock, a service that lets businesses create applications using various AI models, is already being used by big names like Sony, Ryanair, and Sun Life. Amazon recently announced new AI tools, including a conversational customer service program and AWS HealthScribe, a healthcare system for generating clinical notes post-patient visit. In its quest to transform every company into an AI company, Amazon is also tapping into technology from startups Anthropic and Stability AI. Bedrock faces some launch challenges, including cost allocation and enterprise control. The episode also delves into the concept of ML Ops, a paradigm for deploying and maintaining machine learning models in production environments, a field set to grow significantly by 2025. The podcast wraps up with tool recommendations, including the personal AI, Rewind for iPhone, the AI prompt generator, Prompt Pup, and the AI-powered video creation platform, HeyGen. News: Amazon has drawn thousands to try its AI service and Amazon expands Bedrock Term: MLOps Tool: Rewind for iPhone, PromptPup, and HeyGen
Duration:00:10:04
Bing chat expands, Hyperparameter, and Coral
7/27/2023
In a recent podcast episode, Microsoft's expansion of its AI-powered chatbot, Bing Chat, into non-Microsoft browsers such as Google Chrome and Safari was discussed, despite certain limitations reported by users. The episode also explained the concept of machine learning hyperparameters, highlighting their role in controlling the learning process and influencing the model's performance. Finally, the introduction of Coral, a Cohere's Command model-powered enterprise chatbot, was discussed. Coral aims to enhance productivity by assisting with various business tasks and addressing concerns related to data privacy and misinformation in the workplace. News: Bing chat comes to Chrome and Safari Term: Hyperparameter Tool:
Duration:00:10:06
ChatGPT Coming to Android, Gradient Descent, and today's quickpicks
7/25/2023
In this episode, we discuss the anticipated launch of the ChatGPT app on Android platforms after its successful reception on iOS. We provide insights into the functionality and features of the app, highlighting the cross-device synchronization. As the global rollout begins in the U.S., Android users are encouraged to pre-register on the Play Store to be among the first users. Next, we delve into the world of machine learning, elaborating on the gradient descent algorithm. This method optimizes AI models by guiding them towards minimum error. We dissect its working mechanism, discuss the three types of gradient descent learning algorithms, and explore the challenges it faces in AI. Lastly, in our 'quick picks' section, we highlight three AI tools: SuperWhisper for swift typing through speech, PDF.AI that brings your documents to life, and PostWise.AI, an aid for crafting viral tweets. News: ChatGPT is coming to Android Term: Gradient Descent Tools: SuperWhisper.com, PDF.ai, and Postwise.ai
Duration:00:06:39
Llama2 isn’t open source, Activation Function, and LangSmith
7/24/2023
This podcast episode discusses the evolving concept of "open source", focusing on the tension between commercial use and free availability of language models. It traces the history from Richard Stallman's "free software" movement to the present day, where models like LLaMA2 are redefining "open source". The podcast highlights the need for a clearer consensus on the definitions of terms such as "open weights". This episode also delves into the workings of activation functions in artificial neural networks, their types, properties, and their roles in enhancing AI's capacity to handle complex tasks. Lastly, it introduces a tool named LangSmith, developed by LangChain, aimed at simplifying the process of developing Language Large Models (LLMs) applications. With features like debugging, testing, evaluation, monitoring, and a unified platform, LangSmith offers a comprehensive solution to bridge the gap from prototype to production for LLM applications. It's also exploring collaborative tools, analytics, prompt creation, and in-context learning for future improvements. News: Llama2 isn't open source Term: Activation Function Tool: LangSmith
Duration:00:11:56
A new AI Supercomputer, Recurrent Neural Network, and Perplexity AI
7/23/2023
In this episode, we discussed the recent advancements in AI supercomputers, focusing on the Silicon Valley startup, Cerebras. The company has built a dedicated AI supercomputer with chips 56 times larger than typical AI chips for AI company G42, which aims to accelerate the pace of AI development in the Middle East. Cerebras' scalable and cost-effective technology is challenging Nvidia's dominance in the AI chip market, as the demand for AI computing power continues to grow. In light of this growth, there are concerns within the Biden administration about China's advancing AI capabilities, raising the question of potential restrictions on the sale of AI chips to the country. The podcast then dove into a discussion about recurrent neural networks (RNNs), their history, types, and use cases, emphasizing their ability to process variable length sequences of inputs. Finally, we explored Perplexity AI's advancements, including their image search feature and improvements to their mobile app and browser extensions. Their “AI Profile” feature allows for more personalized AI experiences and has led to the creation of Llama Chat, a chatbot built on Meta's newly released Llama 2 AI model. News: An A.I. Supercomputer Whirs to Life, Powered by Giant Computer Chips Term: Recurrent Neural Network Tool: Perplexity AI adds Image search and Llama 2 Chatbot experiment
Duration:00:10:58
AI companies commit to safeguards, Lifelong Learning, and ChatGPT Custom Instructions
7/22/2023
In today's episode, we cover a range of topics including the commitment of seven major American AI companies, including Microsoft, Google, and OpenAI, to voluntary safety measures in response to the White House's call for responsible AI development. The tech giants will be following eight principles focused on safety, security, and social responsibility, setting the stage for potential Congressional AI legislation. We also discuss a revolutionary study by a team from the University of Southern California, demonstrating that AI agents can share knowledge with each other, speeding up learning and solving complex tasks collaboratively using a tool they've developed. Lastly, we examine a new feature in OpenAI's ChatGPT known as "custom instructions" that allows users to set guidelines to make the bot more personalized and efficient. The feature is currently in beta as the team strives to understand and optimize how these guidelines are used. News: AI Companies commit to safeguards Term: Lifelong Learning Tool: ChatGPT Custom Instructions
Duration:00:07:54
Google pushing AI to Newsrooms, Sparse Features, and Github Copilot Chat
7/21/2023
In this podcast episode, we navigate through the evolving landscape of AI-integrated journalism, taking a closer look at Google's 'Genesis' tool, designed to assist journalists in creating news content. However, industry insiders express concerns over the potential issues of bias, plagiarism, loss of credibility, and misinformation. Simultaneously, some news outlets are already experimenting with AI in their newsrooms, despite the presence of significant errors in AI-generated content. In the term section, we unpack the concept of sparse features in machine learning models, discussing their challenges and offering strategies to mitigate these issues. Finally, we delve into the innovative GitHub Copilot Chat Beta, an AI-powered assistant for developers that provides real-time coding guidance, reduces time spent searching for solutions, and significantly boosts productivity. News: Google Pushing AI to Newsrooms Term: Sparse Features Tool: Github Copilot Chat
Duration:00:09:28
Apple GPT, Principal Component Analysis, and Superhuman AI
7/20/2023
In this episode, we discuss Apple's recent advancements in the field of artificial intelligence, specifically the development of a new large language model framework called "Ajax." The creation of this foundation has spurred the birth of an AI chatbot service, sparking industry conversation around Apple's push into the AI realm. This move has led to a surge in the company's shares, while Microsoft's shares saw a small drop, indicating the competitive nature of AI development. The podcast also sheds light on Apple's commitment to address privacy concerns and other AI-related challenges, hinting at a major AI-related announcement in the next year. However, the company's trajectory in AI is balanced with a call for regulatory measures given the risks of bias and misinformation in the field. The episode also explains Principal Component Analysis, a dimensionality reduction method crucial for managing large data sets. The podcast concludes by introducing Superhuman AI, an AI-based tool that aims to enhance productivity by automating tasks like email composition, error correction, and text summarization. News: Apple GPT Term: Principal Component Analysis Tool: Superhuman AI
Duration:00:10:09
An AI Generated TV Show, Feature Hashing, and Llama 2
7/20/2023
In this podcast episode, we explore the intersection of AI, creativity, and the workforce within the film and TV industry, specifically Fable Studios' new AI, capable of creating an entire TV show. The controversial technology emerges amid the ongoing Hollywood strike, stirring fears about AI replacing human creativity and jobs. Despite the controversy, Edward Saatchi, CEO of Fable Studios, believes the AI could empower Hollywood guilds to negotiate protections against misuse of AI. The episode also discusses the feature hashing technique in machine learning, an efficient and speedy method for vectorizing features. Although it's prone to hash collisions, it remains effective in tasks like text classification and spam filtering. Finally, the podcast takes a look at Llama 2, Meta's latest AI creation aimed at revolutionizing chatbot experiences. The enhanced version comes with improvements over its predecessor and holds promise, despite some biases and underperformance in certain areas compared to competitors. With Llama 2, Meta is keen to encourage the development of safer and more helpful generative AI. News: AI Generated TV Show Term: Feature Hashing Tool: Llama 2
Duration:00:11:53
AI improves creator creativity, Feature importance, and Wix’s AI Site Generator
7/18/2023
In this podcast episode, a recent survey by Descript and Ipsos involving over 1,000 creators across different platforms was analyzed, highlighting the increased integration of generative AI tools such as ChatGPT and DALL-E in the creative process. Although around 35% of creators are yet to adopt AI tools, largely due to lack of familiarity, the majority of creators have found that these tools enhance their creativity and improve content quality. As a result, these creators tend to have higher follower counts and income. The podcast episode also explained feature importance in machine learning, emphasizing how it helps identify which variables significantly contribute to a model's prediction, and thus aid in refining and optimizing the model. Lastly, the episode highlighted the new AI Site Generator tool by Wix, which simplifies the website creation process by automatically generating a complete website based on user intent. Despite potential issues with content quality and copyright infringement, Wix asserts that its AI tools are rigorously tested and include safeguards against misuse. News: Creators say AI leads to more creative content Term: Feature importance Tool: Wix’s AI Site Generator
Duration:00:09:53
Actors Strike over AI, Bias-variance Tradeoff, and CM3leon
7/17/2023
In this podcast episode, we delve into the latest developments in the intersection of Hollywood, artificial intelligence, and labor rights, with the spotlight on the contentious issue of AI replicas of actors. The episode explores the ongoing SAG-AFTRA strike, sparked by a proposal from the Alliance of Motion Picture and Television Producers (AMPTP) to scan background actors and use their digital likenesses indefinitely for a single day's pay. The term of the day is the Bias-Variance Tradeoff, a critical concept in machine learning that explores the balance between precision and accuracy in model performance, using the analogy of an archer to illustrate the intricacies of this concept. Finally, the episode introduces a new generative model for text and images developed by Meta—CM3leon (chameleon). This model has demonstrated superior performance in text-to-image generation tasks, image caption generation, visual question answering, text-based editing, and conditional image generation, all while consuming significantly fewer computational resources than previous models. News: Actors strike over AI Term: Bias-bariance tradeoff Tool: CM3leon
Duration:00:11:21
Bard Improvements, Overfitting vs. Underfitting, and Splash Pro
7/16/2023
In today's episode, we discuss Google's AI chatbot Bard's new enhancements, which include support for 40 languages and expanded availability in Brazil and Europe. Bard's new features include voice responses, customizable responses, and the ability to pin, edit, and revisit previous chats. Google also assures that Bard only uses publicly-available data for training, addressing data privacy concerns. We then explore the machine learning concepts of overfitting and underfitting, highlighting the importance of finding a balance between learning and generalizing to new data to achieve optimal performance. Techniques to limit overfitting, such as k-fold cross-validation and using a validation dataset, are also discussed. The episode concludes with an overview of Splash Pro, an AI-powered music generation tool that creates music based on text prompts. It offers unlimited commercial licenses, thereby simplifying music licensing, and allows users to customize songs extensively. Splash Pro aims to democratize music creation, and has an ambitious roadmap for future enhancements. News: Bard Improvements Term: Overfitting and Underfitting With Machine Learning Algorithms Tool: Splash Pro
Duration:00:09:09
Shopify Sidekick, Baye’s Theorem, and Netlify Drop ChatGPT Plugin
7/15/2023
This podcast episode covers the announcement of Shopify's Sidekick AI, a generative AI assistant designed to streamline online retail operations. Sidekick AI promises to be a dedicated helper, poised to simplify merchant operations, save business owners' time, and rival the ecommerce titan, Amazon. Its capabilities include understanding unique store contexts, analyzing data, interacting with the Shopify admin, and swiftly executing tasks. Shopify's CEO, Tobi Lütke, demonstrated Sidekick's potential by commanding it to analyze decreasing snowboard sales and subsequently adjust store design and product prices accordingly. The episode then delves into a fundamental machine learning concept, Bayes Theorem, explaining its use in calculating conditional probabilities, fitting models to training datasets, and solving classification problems. In the final segment, the Netlify Drop ChatGPT plugin is introduced, an innovation that allows users to build and deploy websites. It expands ChatGPT's capacity beyond code generation to code deployment, streamlining the development process for prototypes, proof-of-concepts, or personal projects. News: Shopify AI Sidekick Term: Baye’s Theorem Tool: Netlify Drop ChatGPT Plugin
Duration:00:10:31
Meta to commercialize, AI Bias, and Stable Doodle
7/14/2023
In this podcast episode, the discussion begins with Meta's contrasting approach to AI development as compared to OpenAI, with Meta's move towards open-source development and plans to release a customizable commercial version of its language model, LLaMA. Despite the potential risks and questions regarding misuse, Meta sees potential advantages including accelerated learning for the model and quicker bug identification. Then, the podcast takes a deep dive into the complex issue of AI bias, emphasizing its root in the data used for training, and its serious implications on societal equality. It explores potential mitigation strategies like real-life testing of algorithms, integration of 'counterfactual fairness', and promoting Human-in-the-Loop systems. Lastly, the episode introduces the new service Stable Doodle by Stability AI, a sketch-to-image transformation tool based on the Stable Diffusion model, that offers an easy-to-use and efficient tool for both professional designers and novices alike. Despite the company's recent struggles, Stability AI has high hopes for the future of Stable Doodle and its potential applications. News: Meta may make model commercially available Term: AI Bias Tool: Stable Doodle
Duration:00:10:13
Shutterstock expands deal with OpenAI, Synthetic Data, and D-id
7/14/2023
In this podcast episode, the news revolves around Shutterstock's expanded partnership with OpenAI, utilizing a wealth of data to train AI models over a six-year period. The agreement provides Shutterstock with priority access to OpenAI's latest technology and editing capabilities. The partnership has also sparked debate regarding generative AI's potential threat to stock galleries, as this technology can produce highly customizable stock images on demand. Despite this controversy, Shutterstock has embraced AI and created an image creator using OpenAI's DALL-E 2. They have also implemented a contributor fund to compensate artists for their work in training Shutterstock’s generative AI. The episode's term section focuses on synthetic data and its uses, highlighting its benefits in terms of privacy, efficiency, versatility, and bias testing. It further explains the potential of synthetic data in various sectors, citing IBM's Project Synderella and LAMBADA algorithm as examples. Finally, the tool section discusses the contributions of D-ID, an Israel-based firm specializing in generative AI technology. Their products, including the Creative Reality Studio and the Speaking Portrait, offer creators and businesses transformative experiences. The chat.D-ID app offers users the unique opportunity to converse in real-time with a digital persona, exemplifying D-ID's commitment to humanizing AI. News: Shutterstock expands deal with OpenAI Term: Synthetic Data Tool: D-id
Duration:00:10:11
Elon Musk Announces AI company, Causal AI, and Claude 2
7/12/2023
In this podcast episode, Elon Musk is discussed as the founder of a new company, xAI, which seeks to "understand the true nature of the universe." This follows Musk's criticisms of OpenAI's "woke" input safeguards and his expressed desire for a "maximum truth-seeking AI." The episode further explores the concept of causal AI, which, unlike correlation-based models like ChatGPT, seeks to understand cause and effect relationships from data, using causal diagrams. Causal AI has potential applications in various sectors, from supply chain operations to healthcare, and is seen as a step towards artificial general intelligence. Finally, the episode introduces Claude 2, an AI model with improved coding, math, and reasoning capabilities. Notably, it has performed impressively on Bar exams and GRE reading and writing exams, it can handle large amounts of text input, and has improved safety features. Its performance has been praised by businesses such as Jasper and Sourcegraph. News: Elon Musk Announces AI company Term: Causal AI Tool: Claude 2
Duration:00:08:56