Introduction to Perplexity AI

In this section, the speaker introduces Perplexity AI and explains why it is gaining popularity as a replacement for Google and other search engines. The involvement of Jeff Bezos and other Silicon Valley investors is highlighted.

Perplexity AI's Potential

• Perplexity AI is slowly replacing Google and other search engines.

• Jeff Bezos personally invested in Perplexity AI, along with Nvidia and other well-known Silicon Valley investors.

• The speaker believes that Bezos invested in the company for similar reasons as he did with Google back in 1998 and when he started Amazon four years before that.

Importance of Online Advertising Revenue

• In 1994, global online advertising revenue was zero until the first clickable banner ad was introduced.

• Since then, online ad spending has skyrocketed to around $365 billion annually.

• Print revenues have declined rapidly, leading to layoffs at various publishers such as Business Insider, Los Angeles Times, Condé Nast, Vogue, Sports Illustrated, Pitchfork, Box Media, Vice Media, etc.

• Meanwhile, Google's ad revenues continue to grow every year.

The Role of AI in Reshaping Information Access

• AI technology, specifically language models like GPT (Generative Pre-trained Transformer), may reshape how we access information.

• While it is uncertain which company will emerge on top in this tech wave, Perplexity AI demonstrates what the next stage of evolution might look like.

Exploring Perplexity AI Features

This section focuses on exploring the features of Perplexity AI and its capabilities as a search engine.

Search Functionality

• Perplexity AI functions as a search engine where users can search for anything similar to any other search engine.

• It offers options to specify where to look for information, providing a more focused search experience.

Additional Features

• Perplexity AI allows users to attach various media files such as images, text, and PDFs.

• Co-pilot is a chatbot feature that enables interactive communication with the search results.

• Free users have access to a limited number of searches per day, while upgrading to the pro version provides more search capabilities.

Perplexity AI in Action

This section demonstrates how Perplexity AI works by providing real-time answers based on reliable sources.

Understanding the Question

• Perplexity AI understands the question posed by the user and pulls in relevant sources for information retrieval.

• It uses different models like GPT 3.5, GPT 4, and Clot to search and summarize information from web pages and other sources.

Reliable Sources

• The answer generated by Perplexity AI is supported by multiple sources it finds during its search process.

• The example shows Figure AI being in talks with Microsoft and OpenAI for securing $500 million in funding.

Real-Time Information Retrieval

• Perplexity AI does not rely on its memory or make up information; it retrieves real-time data from reliable sources.

• By avoiding forced answers from training data, there is less chance of generating inaccurate or misleading information.

Comparing Perplexity AI with Actual Sources

This section compares the output of Perplexity AI with actual source websites like ReadWrite.com and Bloomberg to highlight its efficiency in delivering relevant information without distractions.

Distractions on Actual Source Websites

• Actual source websites often contain numerous ads, pop-ups, autoplay videos, cookies prompts, etc., which can be distracting for users.

• These websites may require users to log in or restrict access to content, hindering the information retrieval process.

Perplexity AI's Efficiency

• Perplexity AI provides users with exactly what they need without distractions.

• It offers sources that can be verified independently if there is a need for further verification.

• The example shows how Perplexity AI retrieves information from ReadWrite.com and Bloomberg without any distractions.

Conclusion and Benefits of Perplexity AI

This section concludes the discussion on Perplexity AI and highlights its benefits as a reliable and efficient search engine.

Benefits of Perplexity AI

• Perplexity AI provides real-time answers supported by reliable sources, eliminating the need for users to navigate distracting actual source websites.

• Users can verify information independently using the provided sources.

• It offers a focused search experience with additional features like media attachments and interactive chatbot functionality.

Timestamps are approximate and may vary slightly.

Tom's Guide and the Frustrations of Web Browsing

The speaker discusses the frustrations of web browsing, particularly on websites that have excessive ads, autoplay videos, and tracking cookies. It becomes difficult to access the desired content due to all the distractions and information collection.

Frustrations with Ads and Tracking Cookies

• Many websites have autoplay videos and numerous ads that hinder the browsing experience.

• Websites often use multiple advertising platforms and tracking cookies, collecting vast amounts of user information.

Difficulty in Accessing Desired Content

• It is challenging to access specific information on websites due to the overwhelming amount of additional content and data collection.

• Perplexity AI can generate summaries or answer follow-up questions based on collected information.

Hopes for AI in Web Browsing

The speaker expresses their hope that AI can help solve some of the issues faced while browsing the web. They discuss their frustration with how the internet has evolved over time but believe that AI frameworks like perplexity can provide solutions.

Disappointment with Web Development

• The speaker started online activities in 2011 when the internet was simpler, but now it has become cluttered with excessive ads and distractions.

Hope for AI Solutions

• The speaker believes that AI can help address these issues partially, citing perplexity as an example framework.

• While perplexity may not be the ultimate solution, it showcases a potential way forward for improving web browsing experiences.

Using Specific Search Engines for Research

The speaker discusses the importance of using specific search engines to narrow down research and avoid irrelevant content. They highlight Reddit as a valuable source due to its community-driven nature and minimal advertising.

Restricting Searches to Specific Areas

• Restricting searches to specific areas, such as Reddit, can help filter out irrelevant content from the rest of the internet.

• Co-pilot offers various search options like academic papers, Wolfram Alpha, YouTube, and Reddit.

Utilizing Reddit for Research

• Searching for specific topics on Reddit provides insights from real people in various subreddits.

• The community-driven nature of Reddit creates a unique environment with less promotional material and more genuine discussions.

Summarizing Crowd-Sourced Knowledge on Reddit

The speaker highlights how AI can summarize crowd-sourced knowledge from platforms like Reddit, providing concise lists based on user suggestions.

Summarizing Discussions on Supplements

• Co-pilot summarizes discussions on supplements by analyzing posts and replies from the Reddit community.

• It generates a top 10 list of recommended supplements based on crowd-sourced knowledge.

Benefits of Using Reddit for Supplement Information

• Unlike other sources, where people often promote their own products, discussions on Reddit tend to be more unbiased and informative.

• The moderation system in place helps maintain a unique environment where genuine discussions can take place.

Challenges with Supplement Recommendations

The speaker discusses the challenges of finding reliable supplement recommendations due to biased promotions and pitches from product sellers.

Biased Product Pitches

• When searching for supplements, people often pitch their own products, leading to biased recommendations.

• Co-pilot's summary based on Reddit discussions provides a more objective representation of popular supplement choices.

The transcript provided does not cover the entire video, and these notes are based solely on the given content.

Cost of Producing Pre-Workout Shakes

The speaker discusses the cost of producing pre-workout shakes and how it is relatively low compared to their market price.

Cost Breakdown

• The actual cost of materials used in pre-workout shakes is only a few bucks.

• These materials can be purchased wholesale online for around $5, or even cheaper at $2-$3.

• Most products on the market have similar production costs, except for Gorilla Mode by Derek from More Plates More Dates.

Honest Reviews and Supplement Recommendations

The speaker talks about an AI YouTuber named Dave Shapiro who provides honest reviews and recommendations for supplements.

Dave Shapiro's Channel

• Dave Shapiro is an AI YouTuber known for breaking down interesting concepts in AI.

• He also shares his personal supplement regimen and provides honest reviews.

• The speaker appreciates that Dave talks about other supplements besides protein shakes to achieve his physique.

Using Reddit for Academic Research

The speaker explains how to use Reddit as a resource for finding academic papers on specific topics.

Searching on Reddit

• To find the latest papers on a specific topic, such as computer vision, one can search through academic subreddits.

• Academic subreddits provide links to papers along with brief background information.

• An example paper mentioned is "Conceptual Framework for Autonomous Cognitive Entities" by Dave Shapiro.

Exploring YouTube Videos on Perplexity

The speaker demonstrates how Perplexity can be used to search and watch YouTube videos within its platform.

Searching YouTube on Perplexity

• By limiting the search to YouTube, Perplexity displays relevant videos on the searched topic.

• The speaker demonstrates searching for information about Microsoft's changes at Blizzard and finds YouTube links related to the topic.

• Perplexity allows users to watch videos directly within its platform.

Limitations of Video Analysis on Perplexity

The speaker discusses the limitations of analyzing video content on Perplexity.

Analyzing Videos on Perplexity

• While Perplexity allows high-level searches for videos, it currently does not provide in-depth analysis or extraction of specific information from the video content itself.

• Users can find and watch videos through Perplexity but cannot dive deeper into specific video details.

• The speaker suggests that this limitation may change in the future.

Comprehensive Search Capabilities of Perplexity

The speaker highlights the comprehensive search capabilities of Perplexity beyond traditional search functions.

Beyond Traditional Search

• In addition to replacing traditional search engines, Perplexity offers more advanced features.

• It can generate summaries and extract key points from documents, such as research reports or articles.

• Users can create collections within Perplexity to save and organize information for future reference.

Using Collections in Perplexity

The speaker explains how collections in Perplexity can be used to save and organize information for easy access.

Creating Collections

• Collections in Perplexity function like file folders where users can store various interests or pieces of research.

• Users can create new collections based on their topics of interest.

• Specific instructions can be provided within a collection, such as formatting guidelines for reports or articles.

Generating Reports in Perplexity

The speaker demonstrates how Perplexity can generate reports based on provided links and specific formatting instructions.

Generating Reports

• By providing a link and specific formatting instructions, Perplexity can generate reports with summaries, keywords, interesting points, and citations.

• Users can refine the generated report further if needed.

• This feature is useful for saving and referencing information from various sources.

Example of Using Perplexity to Generate Report

The speaker provides an example of using Perplexity to generate a report on a specific topic.

Example Report

• The speaker inputs a link about humanoid robot startup Figure AI into the AI summary collection.

• Perplexity generates a report with a summary, keywords, and interesting points related to the article.

• This feature allows users to quickly gather relevant information for research or content creation.

AI Summary and Citations

The speaker discusses the process of using AI summary and citations. They mention that by using AI summary, they can generate bullet points and a full story with citations based on the given input.

Using AI Summary for Text-to-Video Growth

• By utilizing AI summary, the speaker demonstrates how to generate bullet points and a full story with citations.

• The example provided is about the growth of text-to-video AI.

• The generated output includes research from 17 sources.

Output Format of AI Summary

In this section, the speaker explains the output format of the AI summary. They mention that it provides a summary, keywords, bullet points, and mentions relevant information such as Lumiere and Google.

Output Format Details

• The generated output includes a summary, keywords, and bullet points.

• The speaker suggests separating bullet points with commas instead of using line breaks.

• Lumiere and Google are mentioned in the generated output.

Full Story and Citations in AI Summary

Here, the speaker discusses how the full story and citations are included in the AI summary. They suggest formatting improvements for better readability.

Full Story and Citations

• The generated output includes a comprehensive full story.

• All relevant information discussed is included in the full story.

• Citations are also provided in the generated output.

• Formatting improvements are suggested to have one citation per line for better readability.

Attaching Files to AI Summary

This section focuses on attaching files to an AI summary. The speaker demonstrates attaching images and PDF files for analysis.

Attaching Images and PDF Files

• It is possible to attach various file types such as images or PDF files to be analyzed by the AI summary.

• The speaker demonstrates attaching a PDF file and mentions that it will be uploaded to perplexity.

• Perplexity provides information about their training data and usage policies.

Summarizing Study PDF with Bullet Points

In this section, the speaker demonstrates how to summarize a study PDF using bullet points. They skip providing a specific topic or subject and directly generate bullet points from the paper.

Summarizing Study PDF

• The speaker uploads a study PDF for summarization.

• Bullet points of the main findings are generated from the study.

• The generated bullet points provide a concise summary of the paper.

Generating Summary for Specific Questions

Here, the speaker shows how to generate a summary for specific questions using uploaded documents. They demonstrate asking about full automation of labor feasibility.

Generating Summary for Specific Questions

• The speaker uploads a document and asks about the feasibility of full automation of labor.

• The AI summary generates an answer based on the document's content.

• In this case, it provides probabilities for full automation by certain years.

Evaluating Generated Summary from PDF

This section focuses on evaluating the generated summary from a PDF. The speaker checks if the generated information is correct and matches what is mentioned in the abstract.

Evaluating Generated Summary

• The generated summary appears to be accurate and matches information from the abstract.

• It provides probabilities regarding full automation of labor by specific years mentioned in the document.

Limitations with Large PDFs in AI Summary

Here, limitations related to large PDF files in AI summaries are discussed. The speaker mentions that very long documents may exceed context limits but highlights that brief summarizations work well.

Limitations with Large PDFs

• Very long PDF files may exceed the context limits of AI summaries.

• Brief summarizations and overviews work well with AI summaries.

• Uploading a thousand-page PDF may not yield complete results due to context limitations.

Describing Images with AI Summary

This section focuses on describing images using AI summary. The speaker demonstrates uploading an image and generating a description.

Describing Images

• The speaker uploads an image depicting online ad revenue of newspapers versus Google.

• The AI summary accurately describes the image, including the title and key points from the graph.

• It recognizes annotations added by Ben Thompson and Big Dulls.

Understanding the Context of Image Descriptions

Here, the speaker emphasizes that understanding the context of image descriptions is crucial. They mention that drawing conclusions from images requires additional knowledge beyond what is provided in the description.

Understanding Image Context

• While AI summary can accurately describe images, it does not provide explanations or reasons behind trends shown in graphs.

• Drawing conclusions from images requires additional understanding beyond what is provided in the generated description.

Perplexity's Reasoning Process

In this final section, the speaker reflects on perplexity's reasoning process. They note that perplexity aims to provide information but does not offer reasoning or explanations for certain phenomena.

Perplexity's Reasoning Process

• Perplexity provides information based on input but does not offer reasoning or explanations for specific phenomena.

• It generates accurate summaries and descriptions but leaves further analysis and interpretation to users.

New Section

The speaker discusses the logic behind the reduction of hallucinations in a chat agent model and introduces the concept of a playground for exploring different models.

Playground for Models

• The playground is an advanced version of a chat bot where users can dig deep into temperature settings, different models, and have more options.

• It may be confusing for average users but provides more flexibility and control.

• Various models, including open source ones, are available in the playground.

• OpenAI regularly adds new models to the playground, such as Code Llama with 70 billion parameters.

New Section

The speaker explains how to use the playground and demonstrates creating python code for bouncing ball animations.

Using the Playground

• The playground allows users to experiment with different models and settings.

• Users can create python code for specific tasks like bouncing ball animations.

• A sample animation took 6.78 seconds to generate.

• Users can modify the code to make the ball move faster or in circles.

New Section

The speaker discusses other models available in addition to Code Llama and demonstrates generating art in the style of M Sil Kandinsky.

Other Models and Art Generation

• OpenAI releases various models, including Mistro 7B and Mxtro 8 by 7B.

• Generating art in a specific style is possible using prompts like "create art in the style of M Sil Kandinsky."

• The generated art may not be perfect but captures some elements of the desired style.

New Section

The speaker explores storytelling prompts using different word counts and highlights potential applications beyond creative tasks.

Storytelling Prompts

• Story prompts can be given in different word counts, such as one sentence or two words.

• The speaker provides examples like "love conquers all" and "resilience."

• Perplexity can be used for specific automation tasks with the help of Zapier.

• Building a personal library of ideas and thoughts using perplexity is suggested.

New Section

The speaker emphasizes the versatility of perplexity AI, its compatibility with various formats, and the availability of free usage options.

Versatility and Free Usage

• Perplexity AI can handle PDFs, images, internet searches, academic papers, and more.

• It is free to use with certain limitations.

• A pro membership offers additional benefits like more co-pilot queries and model selection options.

• API credits are available for integrating perplexity with other applications.

New Section

The speaker mentions different models available in perplexity AI and discusses pricing options.

Models and Pricing

• GPT 4, Claud 2.1 Gemini Pro, Gemini Ultra (upcoming), and OpenAI Anthropics models are mentioned.

• Default models include GPT 3.5 (modified version).

• Perplexity Pro membership costs $20 per month or $200 per year with a 7-day free trial option.

• Free usage is still possible without signing in or paying for the pro membership.

New Section

The speaker concludes by providing referral links for discounts on perplexity AI but emphasizes that they are not promoting it solely for personal gain.

Conclusion

• Referral links are provided for discounts on perplexity AI but using them is optional.

• Free usage without signing up or paying is still available.

Creating a PDF with Free Online Tool

The speaker discusses a free online tool that allows users to create PDFs without the need for registration or email. The tool also has mobile apps available for iOS and Android.

Creating PDFs for Free

• A free online tool is available for creating PDFs without any registration or email requirement.

• The tool also offers mobile apps for both iOS and Android platforms.

User Experience in the Online Environment

The speaker reflects on how the user experience in the online environment has deteriorated over the years due to increased ads, tracking, and other factors. However, advancements like AI and neural networks have provided solutions to cut through unnecessary elements and extract relevant information.

Deterioration of User Experience

• Over the past decade, the online environment has become worse in terms of user experience.

• More ads, tracking, and other intrusive elements have made it challenging to navigate.

• LLMS (Language Models), AIS (Artificial Intelligence Systems), and neural networks offer solutions to filter out unwanted content.

• These technologies allow users to extract meaningful information without dealing with pop-ups, social media algorithms, or biased news articles.

Extracting Relevant Information with AI

The speaker explains how AI can be used to extract essential information from biased news articles or other sources by eliminating fluff and irrelevant content.

Extracting Meaningful Information

• AI can help extract meaning, context, and important details from biased news articles or other sources.

• By using AI algorithms like perplexity engines, users can focus on relevant data while cutting out unnecessary elements such as outrage or political bias.

• This approach provides an alternative way of consuming information without being influenced by traditional media biases.

Open Source Development and Impact on Corporations

The speaker discusses the potential impact of open-source development on corporations and how it can provide alternatives to closed corporate models.

Open Source Development

• Many AI technologies, including perplexity engines, are open source or have the potential to be.

• Open-source development allows for continuous improvement and innovation in AI technologies.

• These developments not only provide alternatives to closed corporate models but also put pressure on them to improve their user experience.

• Free alternatives that offer better functionality can challenge traditional business models of publishers, search engines like Google, and social media platforms like Twitter and Facebook.

Disrupting Traditional Business Models

The speaker explores the potential consequences of widespread adoption of AI-powered tools on traditional business models such as publishers, search engines, and social media platforms.

Impact on Traditional Business Models

• Widespread adoption of AI-powered tools can disrupt traditional business models.

• If AI-powered tools offer better functionality than established platforms like Google search or Twitter, more people may switch to these alternatives.

• Publishers heavily rely on website visits and ad interactions for revenue. What happens when a significant portion of users opt-out and use alternative tools?

• The rise of personalized algorithms based on individual preferences could challenge the profit-driven algorithms used by major platforms.

• Government regulations, lawsuits, or other measures may be taken to protect established business models from disruption.

Personalized Algorithms and Data Privacy

The speaker discusses the possibility of using personalized algorithms for extracting desired content from various platforms while maintaining data privacy.

Personalized Algorithms and Data Privacy

• Users may prefer building their own algorithms that extract relevant content based on personal preferences rather than relying on profit-driven algorithms.

• Personalized algorithms can be used to filter out unwanted content from platforms like Twitter, Facebook, Instagram, or Reddit.

• This approach allows users to access interesting data without being exposed to political biases or irrelevant information.

• The rise of personalized algorithms poses challenges for platforms that rely on user data and targeted advertising.

• Protecting against personalized algorithms may require government regulations, laws, or legal actions.

The Future of the Internet and AI

The speaker emphasizes the importance of the next decade in shaping the openness of the internet and the extent to which AI benefits end consumers versus large corporations.

Shaping the Future

• The developments in AI and its impact on the internet will determine how open it remains and how much AI benefits end consumers over large corporations.

• Exploring tools like perplexity engines can provide insights into the potential power of AI models.

• While perplexity might not be the ultimate solution, it showcases the direction in which technology is heading.

• The speaker expresses excitement about these advancements as they offer a breath of fresh air compared to a worsening online experience over recent years.

Conclusion

The speaker concludes by highlighting how AI-powered tools can disrupt traditional online experiences filled with pop-ups, cookie notices, autoplay videos, etc., and discusses their potential impact on various industries.

Disrupting Traditional Online Experiences

• AI-powered tools act as a wrecking ball against intrusive elements like pop-ups, cookie notices, autoplay videos that degrade user experience.

• These tools have the potential to bring significant changes to industries such as publishing and search engines like Google.

• The future will depend on how these developments unfold over time and whether they favor end consumers or large corporations.