Technology

The Daily AI Show

The Daily AI Show is a panel discussion hosted LIVE each weekday at 10am Eastern. We cover all the AI topics and use cases that are important to today’s busy professional.
No fluff.
Just 45+ minutes to cover the AI news, stories, and knowledge you need to know as a business professional.
About the crew:
We are a group of professionals who work in various industries and have either deployed AI in our own environments or are actively coaching, consulting, and teaching AI best practices.

Your hosts are:
Brian Maucere
Beth Lyons
Andy Halliday
Jyunmi Hatcher
Karl Yeh

Latest Episodes:

This Week's Crazy AI News: June 19th, 2024 Jun 19, 2024

Show notes

In today's episode of the Daily AI Show, Beth, Andy, Brian and Jyunmi share a variety of intriguing AI news stories and their potential implications across different industries.

Key Points Discussed:

Google Gemini's Context Caching: Andy highlighted Google's introduction of Gemini Context Caching for API users. This new feature allows users to cache content, reducing API usage costs significantly.
Open Source Coding Assistant - DeepSeq Coder V2: Andy also discussed DeepSeq's Coder V2, an open-source coding assistant that has achieved state-of-the-art results, surpassing proprietary platforms in coding capabilities with a 90.2% score on the human eval benchmark.
GenSpark - AI-Powered Search Engine: Jyunmi introduced GenSpark, a new AI-powered search engine that creates personalized web pages from search queries. The startup received a substantial $60 million seed round, signaling strong investor confidence in its potential.
Snapchat AR Experiences and XR Technology: Jyunmi mentioned Snapchat's new AR experiences, which are part of the broader XR (extended reality) technology trend, potentially bringing AR to a wider audience via mobile devices.
Sewer AI for Infrastructure Inspection: Jyunmi explained Sewer AI, a company leveraging AI to improve the inspection and maintenance of aging sewer and piping infrastructure, aiming to prevent costly failures.
TikTok's AI Suite - Symphony: Beth discussed TikTok's Symphony, an AI suite for content creation that includes digital avatars capable of dubbing content in multiple languages, enhancing global reach and user engagement.
AI Steve - Digital Avatar Running for UK Parliament: Beth shared the unique story of AI Steve, a digital avatar running for the UK Parliament, highlighting the potential and ethical considerations of AI in political roles.
Runway ML and Advancements in AI Video: Brian talked about the latest developments in AI video generation by Runway ML, emphasizing the rapid advancements in AI capabilities and their future implications for content creation and filmmaking.
Cover - AI for School Shooting Prevention: Beth highlighted Brett Adcock's initiative, Cover, which aims to prevent school shootings using AI-powered concealed weapon detection technology.
Jeff Hinton's Carbon Capture AI Startup: Beth also mentioned Jeff Hinton's new startup focused on using AI to develop materials for efficient carbon capture, addressing the critical issue of climate change.
AI for Emotional State Recognition in Athletes: Jyunmi discussed a research project from the Karsu Institute of Technology and the University of Duisburg-Essen, which uses AI to recognize and assess emotional states in athletes.
Robotics Training and LLMs: Jyunmi highlighted MIT's development of a new method using large language models (LLMs) to improve and expedite the training of robots, reducing the extensive data requirements traditionally needed.
North Carolina State University's 3D Mapping with 2D Cameras: Jyunmi shared a technique developed by North Carolina State University researchers to enhance 3D mapping using 2D cameras, potentially improving spatial awareness and interaction in various applications.
Roblox's 4D Technology: Beth wrapped up the news with Roblox's introduction of 4D technology, enabling more immersive and interactive spatial experiences within their platform.
Factory's Agentic Code Development: Andy discussed Factory, a new startup funded by Sequoia Capital, developing droids to automate the entire software development lifecycle, outperforming current solutions like Devin from Cognition.
Open Interpreter's Local 3 Release: Andy concluded with Open Interpreter's Local 3 release, offering offline, local control of computers with AI, representing a significant advancement in personal AI tools.

AI And The Promise of Digital Biology Jun 18, 2024

Show notes

In today's episode of the Daily AI Show, co-hosts Beth, Andy, and Jyunmi discussed the transformative impact of AI on digital biology, exploring its potential to revolutionize biotechnology and medicine. They highlighted significant advancements and applications in areas like genomics, proteomics, and biocomputing, emphasizing how AI is accelerating discoveries and treatments for diseases.

Key Points Discussed:

AI in Digital Biology:
- The hosts examined how AI enhances the analysis of genomic, proteomic, and imaging data, leading to faster discoveries in disease mechanisms and treatments.
- They discussed Google's AlphaFold 3, a significant development in predicting protein structures and behaviors, which is critical for understanding and treating diseases.
Industry Insights:
- NVIDIA CEO Jensen Huang's prediction of digital biology as the next major revolution was discussed, along with NVIDIA's role in advancing this field through AI tools and technologies.
- OpenAI's partnership with Color Health, using AI for personalized cancer screening and treatment, was highlighted as a key development.
Technological Innovations:
- The episode covered breakthroughs in CRISPR technology, particularly the precision of CRISPR-Cas12a in DNA editing, and its practical applications, such as treating sickle cell anemia.
- MIT's recent achievement in mapping the entire human brain's neural network was discussed, showing advancements in understanding the brain's functions.
Biocomputing and Synthetic Biology:
- Andy explained biocomputing, including the use of large language models for biology, virtual simulations of organisms, and the innovative NeuroPlatform by Final Spark, which uses living brain cells as computational units.
- The potential of synthetic biology to develop synthetic cells that interface with living cells for enhanced sensing capabilities was also discussed.
Applications and Ethical Considerations:
- The co-hosts talked about the practical applications of these technologies in accelerating drug discovery, improving diagnostics, and treating diseases like Alzheimer's and cancer.
- They emphasized the importance of maintaining ethical guidelines and open-source development to ensure widespread scientific progress and accessibility.
Future Prospects:
- The discussion included the potential for AI to solve global challenges like hunger and energy efficiency through advancements in digital biology.
- The co-hosts reflected on the need for collaboration across nations, governments, and corporations to share advancements for the common good.

Our Top 5 Business Use Cases for Custom GPTs Jun 17, 2024

Show notes

In today's episode of the Daily AI Show, Brian, Beth, Karl, Jyunmi, and Andy discussed the top five business use cases for custom GPTs. They explored how custom GPTs can significantly enhance business processes by automating repetitive tasks, increasing efficiency, and providing personalized solutions for various business needs.

Key Points Discussed:

1. Overview of Custom GPTs

Brian shared his extensive use of about 20 different custom GPTs in business, ranging from personal use to fully customized solutions for clients.
The team highlighted the accessibility of custom GPTs for anyone with a ChatGPT pro account, emphasizing their potential to address specific business problems.

2. Importance of Business Co-Pilots

Karl emphasized the value of having a business co-pilot GPT loaded with a company’s mission, vision, values, goals, and target audience. This custom GPT can assist in strategy building, invoice creation, prospect conversations, and more.
The discussion included the ease of creating these custom GPTs by scraping business websites and using tools like Gobblebot to turn information into usable formats.

3. Meeting Summarizers and Onboarding

Brian mentioned his custom GPTs for meeting summarization and onboarding. Meeting summarizers help in structuring meeting notes into outlines, main points, summaries, and action items.
Onboarding GPTs can significantly reduce the time required to get new employees up to speed, offering personalized guidance and answering questions based on company-specific information.

4. Content Creation and Personal Branding

Custom GPTs for content creation, like Ethan Mollick’s Framework Finder and Rob Lennon’s Interview You to Find Content Ideas, were discussed. These tools help generate structured content and find new content ideas.
Brian talked about his personal branding GPT, which helps craft LinkedIn strategies and posts, making it easier for businesses to maintain a consistent and engaging online presence.

5. Specialized Tools and Utilities

The team also mentioned specialized tools like Grimoire for coding and product architecture, Whimsical Diagrams for creating mind maps and process diagrams, and various file conversion tools.
Andy highlighted his custom GPT, Sales Pitch Pro, which helps in refining sales messaging and product positioning.

Canva's New AI Glow Up: Our Honest Review Jun 14, 2024

Show notes

In today's episode of the Daily AI Show, Beth, Andy, and Brian talked about Canva's latest AI-powered features presented during their annual showcase. They discussed how Canva is evolving to support creators with new tools that make design tasks easier and more efficient, even for those without a design background.

Key Points Discussed:

Canva's Annual Presentation: The hosts compared Canva's event to Apple's WWDC, highlighting the new AI features introduced to help creators.
Enhanced Creator Tools: Canva's new AI features, such as Magic Write, Magic Eraser, and Magic Grab, were explored. These tools simplify tasks like background removal, image resizing, and generating design elements, making it easier for users to create professional-looking content quickly.
User Experiences:
- Brian shared his experiences using Canva for creating thumbnails and discussed how AI tools have significantly improved his workflow.
- Andy talked about how his wife uses Canva for nonprofit projects, specifically highlighting the Magic Write feature.
- Beth discussed her transition from Photoshop to Canva and appreciated Canva’s user-friendly interface and contextual menus.
AI Efficiency: The hosts emphasized Canva's ability to perform tasks quickly and reliably during live demos, making it a valuable tool for both novice and experienced creators.
Video Editing Features: Beth mentioned Canva's new video features like automatic highlight detection and studio sound, which can be beneficial for quick video edits.
Nonprofit and Educational Use: Andy noted that Canva offers affordable packages for nonprofits and educational institutions, making it accessible for a broader audience.
Future Potential: The discussion concluded with a positive outlook on Canva's continued development and its growing importance in the AI and design space.

Can Frontier AI Models Keep Growing at 5x per Year? Jun 13, 2024

Show notes

In today's episode of the Daily AI Show, Brian, Beth, Andy, Karl, and Jyunmi discussed whether frontier AI models can continue growing at a 5x per year rate. The conversation was sparked by a report from EpochaI.org, which analyzed the training compute of frontier AI models and found a consistent growth rate of 4 to 5 times annually. The co-hosts explored various factors contributing to this growth, including algorithmic efficiencies and novel training methodologies.

Key Points Discussed:

Training Compute and Frontier Models:

Definitions Clarified: The discussion began with defining key terms such as 'compute' (measured in flops) and 'frontier models' (top 10 models in training compute).
Historical Context: The training compute has grown dramatically, with the pre-deep learning era (1956-2010) following Moore's law, the deep learning era (2010-2015) doubling every six months, and the large-scale era (2015-present) doubling every 10 months.

Alternative Methods to Frontier Model Training:

Evolutionary Model Merge: Combining existing models requires significantly less compute compared to training new models.
Mixture of Experts and Depth: Techniques like mixture of experts, smaller model gangs, and mixture of depths optimize the training process.
JEPA (Joint Embedding Predictive Architecture): This method predicts abstract representations, increasing efficiency by learning from less data.

Algorithmic Efficiencies and Unhobbling:

Improved Algorithms: The algorithms themselves have become more efficient, drastically reducing the inference cost.
Unhobbling Techniques: Methods like chain-of-thought prompting, RLHF (reinforcement learning for human feedback), and scaffolding enhance the model's ability to solve complex problems step-by-step, rather than instantaneously.

Business Implications and Future Outlook:

Business Adaptation: Companies should plan for continuous improvements in AI capabilities, focusing on building solutions that can evolve with the technology.
Data and Environmental Considerations: As AI training approaches the limits of available data, synthetic data and curated datasets like FindWeb will become crucial. Sustainability and logistical challenges in compute and chip manufacturing also need to be addressed.
Predicted Growth: Despite potential bottlenecks, the consensus is that AI models will continue to grow at a rapid pace, potentially surpassing human cognitive benchmarks within a few years.

Breaking AI News: June 12, 2024 Jun 12, 2024

Show notes

In today's episode of the Daily AI Show, Brian, Andy, Beth, Karl, and Jyunmi discussed the latest breaking AI news from the past week. They celebrated a milestone of reaching 1,000 subscribers on YouTube and reminded listeners about their upcoming newsletter. The co-hosts covered various topics, including the impact of AI on the movie industry, recent ChatGPT outages, and advancements in AI applications in science and technology.

Key Points Discussed:

AI in the Movie Industry:

Ashton Kutcher's comments on AI's role in movie-making sparked controversy, highlighting the potential for AI to create realistic short video clips and the implications for human jobs in the industry. The hosts debated the broader impact of AI on different industries and the need for careful consideration of AI's role.

ChatGPT Outages:

The recent ChatGPT outages were attributed to increased usage, emphasizing the need for scaling both training and serving infrastructure to meet growing demand.

Apple Intelligence Endorsement:

Andrej Karpathy praised Apple's integration of AI across its OS, enhancing multimodal capabilities and user experience. The hosts discussed the significance of this endorsement and Apple's approach to making AI accessible to a large audience.

Advancements in AI and Science:

The hosts explored several AI advancements, including AI recognizing elephant communication, early detection of dementia through speech analysis, and the development of a tactile-sensing robot for trash sorting. These innovations hint at future applications in prosthetics and brain-computer interfaces.

Microsoft and AI Integration:

Microsoft canceled its GPT builder for Copilot Pro, leading to speculation about the future of custom GPTs and their integration with enterprise tools. The hosts discussed the implications for users and the potential for continuous integration of AI with other software.

F1 Trophy Design with AI:

AWS and AI were used to design a unique F1 trophy, blending technology with traditional craftsmanship. The hosts saw this as a promising example of how AI could enable small businesses and local competitions to create customized and unique trophies.

Miscellaneous AI News:

Mistral announced a 600 million euro Series B funding round, and Elon Musk dropped his lawsuit against OpenAI and Sam Altman, though he may refile in the future.

Is This Really Apple Intelligence? Jun 11, 2024

Show notes

In today's episode of the Daily AI Show, Brian, Andy, Karl, Jyunmi, and Eran discussed Apple's recent event, focusing on the unveiling of "Apple Intelligence." They explored the implications of this new AI feature, its integration with existing Apple products, and its potential impact on both current and future Apple users.

Key Points Discussed:

1. Introduction to Apple Intelligence

The team highlighted Apple's introduction of "Apple Intelligence" during their recent event, emphasizing its role as an integrated AI system designed to enhance user experience across Apple devices.
Apple Intelligence is positioned as an AI feature embedded within the Apple ecosystem, utilizing the power of Apple Silicon for on-device processing, rather than relying solely on external AI models like ChatGPT.

2. Device Compatibility and Limitations

The feature will initially be available on iPhone 15 Pro, iPhone 15 Pro Max, and newer iPads and Macs with M1 chips or later.
There was discussion about the limitations for older Apple devices and how the new AI capabilities will drive upgrades among Apple users.

3. Integration with Existing AI Models

While Apple Intelligence includes robust on-device AI, it also offers the ability to connect with external AI systems such as ChatGPT, with future possibilities of integrating models like Gemini and Claude.
This hybrid approach ensures that users can benefit from advanced AI functionalities while maintaining privacy and security through on-device processing.

4. Practical Applications and User Experience

The hosts shared examples of how Apple Intelligence can simplify daily tasks, such as scheduling, email management, and real-time updates, all while integrating seamlessly with Siri.
Andy provided insights into the potential of Apple Intelligence to enhance the overall Apple ecosystem, emphasizing the user-friendly and privacy-focused approach of Apple's AI strategy.

5. Comparisons and Criticisms

Eran, an Android user, offered a critical perspective on Apple's tendency to introduce features that other platforms may have had earlier, though he acknowledged the benefits of Apple's integrated ecosystem.
The team debated the extent to which Apple Intelligence represents a genuine innovation versus a strategic enhancement of existing technologies.

6. Future Outlook

The conversation concluded with predictions about the future development of Apple Intelligence and its broader implications for AI integration in consumer technology.
There was consensus that while the current offering is promising, the real impact will be seen as more users adopt the technology and as Apple continues to refine and expand its capabilities.

Is Reuters Right About Generative AI? Jun 10, 2024

Show notes

In today's episode of the Daily AI Show, Brian, Beth, Karl, Jyunmi, and Andy discussed a recent Reuters report titled "AI and the Future of News." The episode focused on the public's awareness and usage of generative AI in news across six countries, based on a survey conducted by Reuters. The conversation extended to general attitudes towards AI and its various applications, shedding light on broader public perceptions and biases.

Key Points Discussed:

Overview of the Reuters Report:

The Reuters report surveyed approximately 12,000 people across six countries: Argentina, Denmark, France, Japan, the United Kingdom, and the United States.
The survey aimed to understand public awareness and usage of generative AI tools, focusing particularly on their applications in news and journalism.

Public Awareness and Usage:

ChatGPT emerged as the most recognized AI tool, though a significant portion of the population (about 20%) had not heard of any generative AI tools.
The discussion highlighted surprising findings, such as the low recognition of Claude and perplexity.ai, despite their prominence in AI conversations.
The report revealed that younger generations (18-24) are more likely to use these tools, primarily for educational purposes.

Generative AI in News:

The crew examined the specific use of generative AI in news, with a focus on public trust and transparency.
Concerns were raised about the ethical implications of AI in journalism, such as the need to label AI-generated content and the potential for personalized headlines.

Business and Personal Use of AI:

The team discussed the broader application of AI in businesses, referencing a McKinsey report indicating a rise in AI adoption in enterprises.
Despite the rise, actual usage within companies remains relatively low, suggesting a gap between AI capabilities and practical implementation.

Future Implications:

The conversation touched on the future of AI in news and its potential to reshape journalism.
There was a debate on whether AI tools would lead to more personalized and potentially biased news consumption, and the need for transparency in AI usage.

Um, Did They Just Say That About AI? Jun 07, 2024

Show notes

In today's episode of the Daily AI Show, Beth, Brian, Andy, Karl and Jyunmi revisited the highlights and key discussions from the past two weeks of shows, covering a wide range of AI-related topics. The co-hosts engaged in an in-depth conversation about custom GPTs, advancements in AI models, and recent AI-related announcements and predictions.

Key Points Discussed:

AI's Recent Advancements and Innovations:

Jyunmi highlighted several science stories that were missed during the news days, such as AI models understanding human emotions using mathematical psychology and the potential of AI helpers in real-time assistance.
The discussion also covered MIT's technique to combine robotics training data across various domains, allowing robots to learn new tasks in unseen environments.

Custom GPTs and OpenAI's New Instructions:

Brian shared insights on OpenAI's new guidelines for creating custom GPTs, emphasizing the importance of step-by-step instructions and examples to enhance user experience.
The crew discussed the application of these guidelines and the improvements observed in custom GPT outputs.

Predictions and Expectations for AI in the Apple Ecosystem:

The hosts speculated on potential announcements at Apple's WWDC, including the possibility of ChatGPT powering Siri and the introduction of Apple Intelligence.
They discussed the hardware requirements for new AI features, such as needing the latest iPhone models with advanced chips.

Tools and Technology Trends:

The team reflected on their use of various AI tools, with Andy and Brian mentioning tools like Gamma.app for presentations and Arbor for storytelling.
Beth highlighted the effectiveness of Google Gemini within Gmail for improved search functionality.

Quality of AI Training Data:

Andy discussed the importance of high-quality training data for AI models, referencing the FineWeb dataset's impact on reducing hallucinations and improving reasoning and accuracy in large language models.

Concerns and Ethical Considerations:

The group touched on the ethical implications of AI models being trained on potentially biased or inaccurate data from the open web.
They also expressed concerns about the rapid development and deployment of AI technologies in different regulatory environments globally.

Future Topics and Upcoming Shows:

The co-hosts previewed next week's topics, including a review of the Reuters report on generative AI, reactions to Apple's announcements, the growth potential of frontier AI models, and a review of Canva's updated AI features.

The Top 5 AI Tools Transforming Our Lives Jun 06, 2024

Show notes

In today's episode of the Daily AI Show, Brian, Beth, Andy, Robert, Karl, and Jyunmi discussed the top five AI tools that are currently transforming our lives. They shared their personal experiences and insights on how these tools are being utilized in various professional settings.

Key Points Discussed:

ChatGPT: Universally acclaimed by the hosts, ChatGPT was highlighted as a versatile tool essential for a variety of tasks. Its extensive use cases, including the ChatGPT store, were emphasized, showcasing how it integrates into daily workflows for efficiency and productivity.
Perplexity: Frequently used for research, Perplexity stood out for its ability to provide high-quality, citation-rich information. The new Pages feature and its voice assistant were particularly praised for enhancing research processes and interactions.
Claude: Valued for its creative and conversational capabilities, Claude was recognized for its unique responses and reasoning abilities. It was preferred for content creation and engaging interactions, particularly when more creativity and nuance were required.
Fire Cut: A favorite of Jyunmi's, Fire Cut is an Adobe Premiere extension offering AI-driven post-production tools. Its features like auto-editing, captioning, and highlight creation streamline video editing processes significantly.
Opus Clip: Opus Clip was noted for its efficiency in repurposing long-form videos into short clips, aiding in content distribution across platforms. Its ability to edit by text and maintain consistent branding was highlighted as a major advantage.

Additional Tools Mentioned:

Adobe Podcast Enhance: Recognized for its capability to clean up audio recordings, making them sound studio-quality.
Play.ht: Preferred for its detailed voice customization options, providing more realistic voiceovers.
Gamma.app: Praised for generating presentation decks from simple ideas, useful for ideation.
Archie: Highlighted for its comprehensive product development support, from concept to execution.
Canva: Widely used for its AI-enabled design features, supporting marketing and promotional activities.
Descript: Noted for its Underlord AI feature, enhancing video editing with functionalities like eye contact adjustment and green screen effects.
Mem.ai: Used for knowledge management and organizing thoughts and resources effectively.
Fathom: An AI note-taker that offers summaries, highlights, and meeting productivity enhancements.

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