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AI DEMOS: Google’s NotebookLM, Bard’s Gemini upgrade, Magnific’s image upscaler, & more! | E1862

This Week in Startups

Mon Dec 11 2023



AI Demos:

  • Sunny Madra and Jason discussed Google's NotebookLM, a collaborative tool for collecting thoughts and making sense of them in various contexts.
  • The tool integrates with the Google ecosystem, allowing users to upload source materials from Google Drive and initiate chat-based queries for deeper analysis.

Branding Challenges at Google:

  • Sundar and Jason explored the challenges of branding within Google, specifically focusing on the naming and branding complexities surrounding Bard, DeepMind, and Gemini.
  • They proposed that simplifying the brand names could enhance user experience and understanding. Additionally, they emphasized the importance of creating unique verticalized experiences without relying heavily on the Google branding.

Insights on User Experience:

  • The conversation delved into user experience issues related to Bard, highlighting its lack of a dedicated app and subpar UI as potential areas for improvement.
  • Comparisons were drawn between Bard's user interface quality (UI) versus ChatGPT's higher level of user satisfaction.

Importance of Branding Strategy:

  • The discussion underscored the significance of effective branding strategy by citing examples such as Microsoft's successful naming approach with Copilot.

BARD's Enhanced Capabilities:

  • BARD, utilizing DeepMind's Gemini, showcased its ability to summarize text from the internet and provide proper attribution to the original source.
  • The capacity for accurate content attribution is crucial for understanding information veracity and potential monetization through redirected traffic.

Multimodal Capabilities of AI Models:

  • Bard demonstrated its proficiency in interpreting real-time video content and providing live commentary on visual elements, indicating significant advancements in multimodal understanding.
  • This technology has broader applications beyond visual interpretation, potentially revolutionizing accessibility features for visually impaired individuals.

Implications for Education and Testing:

  • The integration of AI models like Gemini Ultra could significantly impact education by automating test scoring processes and providing detailed explanations for incorrect answers.
  • This automation can enable personalized learning experiences where students receive immediate feedback and corrective guidance.

Competitive Landscape in Language Models:

  • Comparative benchmarks between Gemini Ultra, GPT-4, Palm 2, Claw 2, Inflection, Grok 1, and Llama revealed that Gemini Ultra outperformed GPT-4 in various metrics such as grade school math tests and multiple-choice questions across subjects.

User Interface Considerations:

  • Acknowledging Gemini's technological advancements over ChatGPT4 raised concerns about user interface design. Suggestions were made to improve app development and enhance user experience design.

OpenAI's Training Material and Language Models:

  • OpenAI's language models, including ChatGPT and GPT-4, were developed using a combination of public information and licensed data, potentially impacting the capabilities of these large language models.
  • The explosion of ChatGPT and subsequent release of GPT-4 in November 2020 led to increased accessibility and commoditization of high-performing language models.

Implications for Investments in Large Language Models:

  • The rapid proliferation of high-quality language models has led to reduced differentiation among models, challenging the uniqueness and value of large language models like GPT-4.
  • This devaluation suggests a shift from high valuations for select few large language models to numerous models being valued at lower levels, impacting investment returns.

Poe Platform and Model Access:

  • Poe provides access to various AI models such as GPT-4, Playground, Cloud Instant, Dolly, Mistral, within a subscription-based framework.
  • While Poe offers powerful features and partnerships with different startups in the ecosystem, its user interface (UI) is critiqued for being tech-heavy but holds potential for further improvement.

Influencer Creation using AI:

  • Demonstrations showcased the creation of influencers using advanced AI tools capable of generating realistic images resembling real individuals.
  • Despite ethical considerations about authenticity and appropriateness, these AI-generated influencers could potentially blur lines between reality and simulation in social media content.

AI Image Generation and Upscaling:

  • The AI can generate influencer images based on specific inputs, such as a person doing yoga on the beach in yoga clothing.
  • This technology significantly reduces the cost and effort traditionally associated with creating marketing collateral for products or brands.
  • It allows e-commerce entrepreneurs to create realistic marketing material without relying on models or expensive photo shoots.

Potential Impact on E-commerce and Marketing:

  • The use of AI image generation and upscaling could revolutionize the way marketing collateral is created for brands and products.
  • Traditional expenses related to model hiring, photography, permits, and location scouting can be substantially reduced or eliminated through this technology.
  • It opens up new possibilities for creating diverse and impactful marketing visuals at a fraction of the traditional cost.

Implications for Content Creation:

  • The AI's ability to produce realistic images raises questions about its impact on societal beauty standards perpetuated by edited images on social media platforms like Instagram.
  • There's an opportunity to redefine beauty standards by embracing natural diversity rather than promoting unrealistic ideals through heavily edited imagery.