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@DP
Using ChatGPT As a Copilot For Your Mind
AI in Co-pilot and Delegation Modes
AI Key Takeaways
- AI can assist in copilot mode, where users switch to interacting with AI in real time to get help and then proceed with their goals
- Delegation mode involves offloading tasks to AI and aiming for consistent output that doesn't require individual review
- Co-pilot mode focuses on symbiosis and intelligence augmentation to help users perform better
- Delegation mode can save time, money, and scale tasks that are currently not scalable
- Ad hoc delegation, where users can delegate subtasks on the fly, is an area that still needs improvement
- Closing the gap between real-time assistance and full delegation is expected as AI agents evolve over the next year
@DP
20VC: How to Survive and Thrive in a World of OpenAI, Are LLMs Being Commoditised, Where Does the Value Lie; Infrastructure or Application Layer, How Apple Could Win in a World of AI, How Amazon Could Threaten OpenAI and Why Google Struggle with Des Trayn
The Future of Pricing Models in AI
AI Key Takeaways
- A product that delivers real value will likely see continued and increased budgets for AI spending.
- Consumption pricing models may start to outpace seat pricing models for AI applications.
- Increasing focus on quality and support rather than replacing seats is a common approach for businesses adopting AI.
- The future of pricing in AI is based on the value of the work being done, not the number of seats or employees.
- A successful AI coach, trainer, or advisor can justify pricing similar to human counterparts.
- The cost of compute is a major factor in pricing AI, and as the cost decreases, pricing will become more accessible.
- Expect to see a range of options in the AI hardware and software market, from high-end to simpler and more affordable choices.
- In the exploration of AI solutions, there will be winners and losers, but market share does not determine the best AI technology.
@DP
20VC: How to Survive and Thrive in a World of OpenAI, Are LLMs Being Commoditised, Where Does the Value Lie; Infrastructure or Application Layer, How Apple Could Win in a World of AI, How Amazon Could Threaten OpenAI and Why Google Struggle with Des Trayn
AI in ad optimization and workflow automation
AI Key Takeaways
- AI can automate the process of ad optimization, including generating new ads and determining which ones are performing
- End-to-end workflows in certain industries may become obsolete as every step can be automated
- Human opinion and differentiation may not matter in certain workflows that rely on algorithms
- The disruption of existing tools may lead to the creation of completely different products
- Building on top of existing incumbents may require significant resources and overcoming technical challenges
@DP
AI Agents, VC Insights on AI, and Building in Public with Yohei Nakajima, Creator of BabyAGI
Utilizing Large Language Models for Business Strategies
AI Key Takeaways
- Companies reach out after baby AGI to ask about using large language models
- Research the company, business units, revenue drivers, and cost drivers before a call
- Generate three impactful strategies using large language models for each business unit
- Prepare 21 ideas to discuss during the call
- Select three to five ideas and expand on them to impress the company
@DP
E147: TED goes woke, Canada's Nazi blunder, AI adds vision, plus: who owns OpenAI?
VR x GenAI as interface
AI Key Takeaways
- There is a new feature on AirPods that reads incoming messages and notifications aloud
- There may be a future interface with Apple goggles that combines auditory and visual cues
- Facebook has announced a new pair of glasses with augmented reality capabilities
@DP
E147: TED goes woke, Canada's Nazi blunder, AI adds vision, plus: who owns OpenAI?
The Future of Phone Interfaces: Voice and Visual Integration
AI Key Takeaways
- The main interface of smartphones is likely to be replaced by voice interactions.
- Developers are creating in-screen utilities as part of the chat interface on phones.
- Voice interactions with phones would be more effective if the phone understands instructions perfectly.
- Multimodal demos show that phones with video and camera integration can enhance human-computer interaction.
- While voice interactions are important, visual displays are still necessary to present information.
@DP
E147: TED goes woke, Canada's Nazi blunder, AI adds vision, plus: who owns OpenAI?
The Emergence of a Revolution in Computing and Human-Computer Interaction
AI Key Takeaways
- LLMs are emerging as a new type of operating system that can interpret code, access the internet, and render information in various modalities
- Using LLMs in autonomous driving can significantly improve the performance of neural nets
- LLMs have the potential to revolutionize computing interfaces and human-computer interaction
- LLMs can enable the entire operating system of mobile phones to run and render different applications and services
- A revolution in computing itself is underway, with LLMs playing a transformative role
@DP
Mark Zuckerberg on Threads, the future of AI, and Quest 3
AI's Need to Live in the Environment They're Trying to Improve
AI Key Takeaways
- AI problems need to be tightly optimized
- AI should live in the environment it needs to improve in
- Chat GPT in a abstract chat interface is different from group chat AI
- Knowing when the AI should jump in a group chat is a challenge
- Experience with AI in group chats is important for development
@DP
Mark Zuckerberg on Threads, the future of AI, and Quest 3
The Versatility of a Personal AI Assistant
AI Key Takeaways
- There are clear use cases for AI assistants in various domains like workouts, cooking, travel, and gaming.
- The ability to use AI assistants in group chat threads is a unique feature.
- The AI technology is capable of generating high-quality, photorealistic images.
- The image generation process is fast and free, which sets it apart from other options available.
- The availability of free and easy-to-use image generation in group chat threads is expected to encourage users to create a large number of images for fun.
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