AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Snipd Groups let you collect & discover podcast highlights with others - on the topics you care about
From LLMs to Image Gen. From model training to possible futures. Post your Gen AI snips here.
Curated by @DP
Curated by @DP
Trending posts
@DP
Will Everyone Have a Personal AI? With Mustafa Suleyman, Founder of DeepMind and Inflection
The Rise of Personal AI and Introduction to 'Pi'
AI Key Takeaways
- Conversation is the future interface.
- User feedback is important in improving interfaces.
- Interfaces are fundamentally about interaction.
- Google's interface is already a conversation, but a painful one.
- Google learns from user interaction in a dialogue-like manner.
@strangebaaza
AI for Business: Use Cases and Trends
Understanding the Six Fundamental Use Cases of Generative AI
AI Key Takeaways
- Generative AI use cases include generation, extraction, summarization, rewriting, question answering, and classification.
- Language models are good at generation, but perform better at extraction, summarization, and rewriting.
- Rewriting content can be helpful for those lacking confidence in their writing ability.
- Generative AI tools can classify data and answer complex questions not easily searchable by traditional search engines.
- Generative AI can be used for time-saving tasks like compiling probable grocery lists based on meal plans.
- Marketers can benefit from generative AI in areas such as social media, customer care, and content creation.
Get the Snipd podcast app
Experience the podcast player of the future, powered by chatGPT.
@DP
E126: Big Tech blow-out, Powell’s recession warning, lab-grown meat, RFK Jr shakes up race & more
AI and Remote Work Will Drastically Reduce Cost of Knowledge Work
AI Key Takeaways
- Remote work is normalizing salaries across countries
- AI will make knowledge work about 90% cheaper to do
- Consulting organizations will benefit greatly from using AI
@DP
20VC: Who Wins in AI; Startup vs Incumbent, Infrastructure vs Application Layer, Bundled vs Unbundled Providers | From 150 LP Meetings to Closing $230M for Fund I; The Fundraising Process, What Worked, What Didn't and Lessons Learned with Tomasz Tunguz
The Future of the AI market orientation: infrastructural and appplication market layers
AI Key Takeaways
- Future of AI may have both centralized and decentralized ecosystems
- Analogy of Apple and Linux can be useful to understand the ecosystem
- An interface that mediates across different models may be a dominant model in the consumer world
- In the enterprise world, platforms like Stripe Twilios are making it easier for developers to get access
@DP
Spotify CEO Daniel Ek
Daniel Ek On The Future of Music and Podcasts With Generative AI
AI Key Takeaways
- There are tens of millions of people recording music and over 100 million people playing some kind of instrument and expressing themselves musically.
- The quality of music rises to the top, becoming even more valuable in the industry, as seen in fine art photography.
- More people may participate in the middle, but the top of the music industry will likely increase in value as well.
- There will likely be other opportunities for the industry to utilize this technology.
@DP
357. ChatGPT and the Dawn of Computerized Hyper-Intelligence | Brian Roemmele
Creating Complications and Forcing New Neuron Connections in AI Systems
AI Key Takeaways
- AI systems can sometimes generate three generations of nested loops, forcing new neuron connections that don't have high probability prior probabilities.
- This is like the definition of creativity, using information and knowledge that the system has, but has forgotten or doesn't know it has because there aren't enough neurons to connect to it.
- Expert systems created by AI engineers in the past were generally procedural and computer language directional, lacking literature or psychological elements.
@DP
E133: Market melt-up, IPO update, AI startups overheat, Reddit revolts & more with Brad Gerstner
The Future of Personal Assistants and Intelligent Agents
AI Key Takeaways
- The traditional model of search engines with 10 blue links is being replaced by knowledge extraction and intelligent agents
- Google will need to reinvent its business model to adapt to the changing landscape
- There are two potential models: working with many agents or using general intelligence to solve vertical problems horizontally
- Personal assistants will subcontract work to specialists for specific tasks
- The future of the web is moving towards intelligent agents and knowledge extraction
@strangebaaza
#572: ChatGPT, AI, & How To Use It In Your Marketing with Emily Hirsh
How to Use Chat GPT to Produce Better Copy
AI Key Takeaways
- The guest recommends using chat GPT in their business for copywriting to increase productivity.
- Using AI in copywriting is expected to be valuable in the near future.
- Copywriters can use chat GPT for ad copy, emails, sales pages, and opt-in pages.
- While chat GPT is useful for generating video ideas and headlines, it doesn't eliminate the need for human copywriters.
- Chat GPT is not yet advanced enough to produce great copy on the first try.
@DP
Will Everyone Have a Personal AI? With Mustafa Suleyman, Founder of DeepMind and Inflection
The Creation of Context Bubbles and the Downside of AI Agents
AI Key Takeaways
- Facebook has been criticized for creating context bubbles where users only see information they inherently believe or the feed is tailored to them
- AI agents could be the extreme version of context bubbles and constantly reinforce users' beliefs, whether correct or not
- Platforms were never neutral, which was a big lie
- Without intervention, reinforcing beliefs will be the default trajectory
@DP
357. ChatGPT and the Dawn of Computerized Hyper-Intelligence | Brian Roemmele
Approaches to Building a System to Ask Questions about Books + Transcripted Lectures
AI Key Takeaways
- The problem with some AI systems is that they are trained on both noise and signal
- The speaker is curious about a system they built containing everything they've written and a couple of million transcribed words from lectures
- They were able to build a system that enables them to ask their own books questions with 100% success rate
- There are two different ways of processing the model - putting a vector database on top of it or encoding it as a corpus within a greater model
- Encoding the model as a corpus results in a more robust and richer interaction between the words and the model
@DP
#386 – Marc Andreessen: Future of the Internet, Technology, and AI
Possible Futures of AI
AI Key Takeaways
- The big question in AI today is about the big models versus the small models, proprietary versus open, and the future of training data.
- Regulation is a major concern, but the future of AI could go one of two ways.
- Either a few God models will be owned by a small set of companies with regulatory capture, or the industry will open up and become a new gold rush.
- The second scenario could involve every smart 14-year-old building open source models, optimizing them and generating decentralized training data with economic incentives.
- In this scenario, there will be a billion LMS of every size, scale, shape and description, like the world we have today with Linux and the web.
@elaina
How AI Will Change Business Forever w/ Salim Ismail | EP #46
Using generative AI to understand and utilize patents
AI Key Takeaways
- Generative AI can be used to make patents more easy to understand
- Using two patents can transform a company
- IBM has a huge patent portfolio that could be used for generative AI incubators
@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
Reddit communities revolt + Brad Gerstner on state of private and public markets in 2023 | E1761
The AI Super Cycle We're Entering Today Will Be Bigger and More Dramatic
AI Key Takeaways
- The speaker believes that the current super cycle will be bigger than any in their lifetime.
- GPT is a powerful tool in the age of AI, faster than the iPhone or any mobile app.
- All the value gets created during major platform disruptions, and we are currently in one.
- Investing time and effort now could pay off in a big way during this period of disruption.
- Gates sees GPT as the most important advanced technology since a graphical interface, indicating a major shift in technology.
@danaustin
Aligning Super Intelligence & The Open Web's Uncertain Future + GPT-4 General Availability | EP22
Differences between GPT 3 and GPT 4 for developers and general users
AI Key Takeaways
- GPT 4 is slower and more prone to timeouts compared to GPT 3.5 turbo
- GPT 4 is better at following instructions and performing function calls
- GPT 4 allows for larger context window, enabling more input and output
- Price increases are expected with GPT 4
- The price difference between GPT 3.5 turbo and GPT 4 is massive
- The adoption of GPT 4 and its value for different applications remain uncertain
@DP
#386 – Marc Andreessen: Future of the Internet, Technology, and AI
LLMs are the New Media Format of the Future - Continuous Feed of Inputs & Advice
AI Key Takeaways
- LLM could potentially replace mainstream media (MSM) as a primary source of information.
- LLM's chat UI may evolve and become a continuous feed of information.
- LLM could be integrated into various aspects of life, including practical advice and guidance.
- The concept of prompt engineering in chat interfaces can be outsourced and automated.
- Systems like LLM have the potential to continuously learn and update themselves in real-time.
@mick
#387 – George Hotz: Tiny Corp, Twitter, AI Safety, Self-Driving, GPT, AGI & God
Future Language Models with Memory Systems and Source Citing Capabilities
AI Key Takeaways
- Facebook has developed a paper on a new language model called Atlas.
- Current language models lack a memory system like the human brain.
- Future language models are expected to be smaller, have looping capabilities, and incorporate retrieval systems.
- Using a retrieval system allows for explicit citation of sources, which involves human supervision.
- The development of a language model capable of citing sources can potentially threaten Google as a search engine.
@DP
Josh Wolfe on Where Investors Will Make Money in AI
The Future of AI Models: General vs. Specialized
AI Key Takeaways
- How many winners can there be at the foundational model level?
- OpenAI will continue to invest in developing models that have multi-modal capabilities.
- GPT-4 was trained on the public internet and may provide inaccurate information.
- Smaller, specialized models are expected to emerge in the financial and healthcare industries.
- Bloomberg is predicted to be a significant player in the next wave of specialized models.
- OpenAI is effectively controlled by Microsoft through a strategic deal.
- Google is closely tied up with Anthropic through equity investments.
- Meta is embracing open source to avoid regulatory scrutiny and enhance connectivity.
@DP
Reddit communities revolt + Brad Gerstner on state of private and public markets in 2023 | E1761
The Future of Personal Agents: Chat GPT and Other Competitors
AI Key Takeaways
- Intellectual humility requires thinking about the future as a distribution of probabilities
- Chet GPT's execution and recent price drop are impressive
- Open source models show great potential
- Chet GPT may be the most important foundation model and personal agent in the world
- PI could be the successor to search as a personally intelligent agent
- Various companies are competing in the chatbot space
- Chat GPT performed well in a comparison of chatbots for making a French omelette
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode