The Daily AI Show

In this episode, the DAS crew discussed major AI announcements and developments from the past week. Key topics covered: Rewind pendant - A wearable device that transcribes audio recordings. Seen as useful for memory assistance and meetings. Stable LM 3B - A 3 billion parameter AI model designed for mobile devices. Enables more advanced on-device AI. Meta smart glasses - With real-time computer vision and translation capabilities. Hosts were excited about potential applications. Glow tracking dye - Fluorescent dye that aids AI motion tracking via camera. Possible uses in animation and accessibility tech. NSA's new AI security center - Focused on AI applications for the military and security. LinkedIn incorporating more AI features - To enhance existing products like Sales Navigator. Amazon SageMaker Bedrock - New cloud platform for deploying and scaling AI models. Offers access to large language models. Major investment by Amazon in Anthropic - Highlighting competitive landscape between big tech companies. Stability AI's image generator - Technology behind Stable Diffusion now available in app form. ChatGPT Vision - allows users to get insights, summaries, and action items by uploading an image. Seen as a game-changer for analyzing visual information. ChatGPT Voice - received high praise from the hosts, with one having a 30-minute conversational experience that exceeded expectations. Enables natural back-and-forth dialogue. Dall-E 3 - expected to be integrated into ChatGPT at some point soon for all users. Hosts are excited about the creative potential of image generation combined with conversational AI. Overall the episode covered a wide range of emerging AI products, investments, and research innovations. The hosts reacted to the potential opportunities and risks associated with each announcement.

In this episode, the DAS crew discussed AI cookbooks - open source code recipes that help developers build with AI APIs. Key points from the discussion: Cookbooks provide reusable code snippets and step-by-step instructions for completing common AI tasks using platforms like OpenAI. They act as shortcuts for developers. The crew walked through examples from the OpenAI and Anthropic cookbooks, showing search and question answering implementations. Cookbooks allow developers to see what's possible with AI platforms and spark creativity for new applications. They lower barriers for getting started with APIs. However, cookbooks may be overly technical for some business users. Simpler no-code automation tools like Zapier were suggested as good starting points. When implementing AI, the hosts emphasized meeting users where they are and wrapping solutions in easy to understand terms. Making AI seamlessly improve workflows without active user involvement. Overall the episode explored cookbooks as resources to build AI knowledge and speed development. But for business users, beginning with more accessible automation tools may be better before tackling advanced cookbook recipes.

In this episode, the DAS crew discussed Meta's recent AI-related announcements and product launches. Key topics covered: Meta's new AI-generated stickers and avatars - Seen by some hosts as gimmicky or out of touch, others viewed it as engaging Meta's core social media audience. AI-powered image editing features in Instagram - Enables creators to leverage AI for content generation. Meta AI Assistant for messaging apps - A virtual assistant akin to chatbots. Meta's smart glasses with AI capabilities - Hosts were largely excited about real-time computer vision and translation features. Also noted as an accessibility tool. Digital avatars modeled after real people - Demo with Lex Fridman seen as preview of future metaverse interactions. But concerns raised about authenticity and responsible use. AI Studio creative platform - Empowers developers and creators to build AI solutions. Overall the hosts debated both the consumer appeal and underlying strategy behind Meta's offerings. While skepticism persists, many see long-term potential, particularly with the glasses and avatar technology. Meta's nonconformist approach of betting big on AI in the metaverse also discussed.

In this episode, the DAS crew discussed strategies for pitching AI services, both internally and externally. They covered several key topics: Understanding objections and hesitancy around AI. Approaching these situations with empathy and meeting people where they are. Being available as a helpful resource when they have questions down the line. Tailoring your pitch and examples to connect with the audience’s specific needs and pain points. Avoiding technical jargon. Making it relevant to their role. Educating rather than overtly selling. Planting seeds and making the ideas their own. Following up when they are ready to move forward. Having a base product or service offering to propose once interest is established. Potentially starting with a pilot program. Leveraging digital platforms like LinkedIn to establish yourself as a subject matter expert over time. Finding quick ways to demonstrate value with simple AI integrations. The Excel analysis example was highlighted. Incorporating AI into existing consulting services versus transitioning fully into an AI consultancy. AI as an additional capability. The key takeaway was ensuring your pitch shows how AI can help clients achieve their goals faster. Start basic and grow based on feedback and interest.

In this episode, the DAS crew discussed using chatbots internally at companies. They highlighted how chatbots can serve as a valuable resource for employees by providing quick answers to common questions. This can save time for teams like HR who repeatedly address the same queries. The hosts also emphasized that internal chatbots don't need to be overly complex. There are easy solutions available from platforms like Zapier to get started. More advanced options are also available for larger, customized implementations. Key points from the discussion: Chatbots can pull answers directly from a company's internal data rather than guessing, reducing the chance of incorrect responses. They allow employees to ask questions in natural language, rather than navigating through rigid decision trees. Internal chatbots can be created for different departments based on their specific needs. An HR chatbot will differ from one for the marketing team. It's crucial to rigorously test any chatbot before full deployment to identify gaps in knowledge. Maintenance is critical - the chatbot must be continually updated as new data is added or questions arise. Costs include setup fees, ongoing API usage charges, and maintenance expenses. Adoption may increase over time. In summary, internal chatbots have great potential to streamline workflows and information access for employees. Companies should start small, focus on solving a specific problem, and rigorously test before expanding the chatbot's capabilities.

In this episode, the DAS crew discussed how AI is transforming marketing through hyper-personalized campaigns. Key topics included: Using customer data to create tailored journeys vs. generic blasts Generating targeted content for search optimization and conversational interactions Leveraging personal brands of executives and employees for authentic relationship-building Scaling mass customization with AI starting from common cores then personalizing Concerns about going too far and damaging trust with over-personalization Challenge of personalizing campaigns for new prospects without existing customer data The consensus was AI allows efficient tailored messages at scale while maintaining human connections.

In this episode, the crew discussed how AI can transform employee onboarding and training. They covered topics including: Using chatbots and personalized learning plans to improve onboarding. Leveraging gamification and virtual/augmented reality for interactive training. Enabling small companies to buy "off-the-shelf" AI training tools. AI as a post-boarding mentor that adapts to employee needs. Concerns about losing human connections and onboarding becoming impersonal. Importance of changing company culture to value onboarding before implementing AI. The consensus was that AI enables highly tailored onboarding but risks being ineffective if done as an automation afterthought. The key is integrating human connections with AI's personalization capabilities.

In this episode, the DAS crew discussed how AI can act as a personal career coach and transform the job search and hiring process. Key topics included: Using AI to write customized cover letters and prep for video interviews AI tools that suggest careers based on your strengths and interests Analyzing video interviews and providing feedback to improve performance Automating initial video screening interviews with AI Concerns about bias in AI screening interviews AI as a mentor and skills coach during your career Fundamentally changing the hiring process, with AI matching candidates to jobs automatically Need to showcase AI skills even for non-tech roles as AI proliferates The crew were excited about AI taking over rote parts of the process to allow more time for human interactions. But bias and job loss from automation were noted as downsides. Overall, AI looks poised to transform both job seeking and career development.

In this episode, the DAS crew discussed how AI is impacting the filmmaking industry across the spectrum from pre-production to post-production. They covered AI tools that can analyze scripts, automatically create storyboards, and even generate simple animated scenes to represent blocking and staging. Other tools can assist with editing tasks like visual effects and background removal to save vast amounts of time. The hosts debated whether AI could ever replicate the artistry and storytelling ability of top directors and creatives. The consensus was AI can enhance workflows but human creativity, experience, and storytelling remain vital. Key topics included: AI script analysis to extract characters, scenes, and other pre-production elements Automated storyboarding and blocking from scripts AI tools for faster post-production like background removal Text-to-video generation remains limited but will improve Concern about AI's impact on entertainment jobs and integrity of historical documentaries Overall the episode conveyed both the promise and limitations of AI in filmmaking today. While AI enables amateurs and democratizes access, human creativity remains essential for compelling and coherent storytelling.

In this episode, the DAS crew compared and reviewed various AI image creation tools for business uses. They looked at tools integrated into platforms like Google Slides and Canva, as well as standalone services like Adobe Firefly, Leonardo, Midjourney, DALL-E, and others. Key points: Ease of use is important - services within existing tools excel here. But quality is better in standalone apps. Midjourney produces the most photorealistic results for complex scenes based on text prompts. DALL-E 3 is not out yet, but allows conversational image generation, a potential game-changer for workflows. Some services are free but limited, while others require paid plans for full capabilities. Quality has improved enormously in the past year across the board. Ideal use cases are slides, social posts, advertisements, and other business visuals. But quality varies greatly by tool. Overall, the crew recommended starting with integrated tools like Canva for simplicity but exploring dedicated apps like Midjourney for higher quality on critical images. But rapid advancement means buyers should research thoroughly before committing.