📖A Guide to Perplexity AI Features.

Plus: How does AI Processes Information? and AI Investments Drop Drastically as Investors become more cautious.

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Happy Friday, Everyone! In today's edition, we delve into the rapidly expanding world of Perplexity, exploring the latest features of this AI model. OpenAI is revealing more about how its systems process information. Meanwhile, AI investments are seeing a notable decline as investors take a "wait-and-see" approach. All this and more—let's dive in!

  • 📰 News and Trends.

  • Guide to Perplexity AI Features.

  • Apple engineer designs new AI email organizer*

  • 🧰 AI Tools (Code and Programming II)

  • Publications we recommend.

  • AI Investments Drop Drastically as Investors become more cautious.

  • How does AI Processes Information?

  • Most exciting moment’ since birth of WiFi: chipmakers hail arrival of AI PCs (FT)

  • AI’s Insatiable Data-Center Demand Makes Crypto Miners Rent out their centers (Bloomberg)

  • U.S. Clears Way for Antitrust Inquiries of Nvidia, Microsoft and OpenAI (NYT)

  • Humane is looking for a $1 billion buyout after the startup’s AI pin failed to take off with customer (FC)

  • OpenAI Offers a Peek Inside the Guts of ChatGPT (Wired)

  • The a16z Thesis on AI Voice Agents (a16z)

  • Need a policy for using ChatGPT in the classroom? Try asking students (Nature)

🌐 Other Tech news

  • Is a world misinformation expert spreading misinformation? (Chronicle)

  • The Snowflake Attack May Be Turning Into One of the Largest Data Breaches Ever (Wired)

  • ‘Google for DNA’ indexes 10% of world’s known genetic sequences. Achievement demonstrates feasibility of making all of life’s code easily searchable (Science)

  • Shein wants to sell the supply-chain tech it used to disrupt online shopping (BI)

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Guide to Perplexity AI Features.

Perplexity AI is quickly becoming the AI search option for millions of users worldwide. This versatile AI-powered search engine and information discovery tool designed helps users find, organize, and utilize information efficiently. Now that they have some extra cash, they are advertising on the NBA finals make them more ubiquitous. This guide will cover all the features of Perplexity AI and provide detailed instructions on how to use them effectively.

Getting Started with Perplexity AI

1. Creating a Perplexity Account

  • Free Account: While you can use Perplexity without an account, creating one offers additional benefits such as sharing collections, customization, and enhanced preferences.

  • Sign-Up Process: Use your email to create an account, set your preferences, and create a profile. You can also download the Perplexity app for iPhone or Android or integrate it with your browser.

Core Features of Perplexity AI

2. Developing Search Queries

  • New Query Thread: Start a new query thread from the upper-left corner. You can also access the Discover link for AI and technology news headlines and the Library for managing your searches.

  • Focus Feature: Use this for more direct searches. Categories include YouTube, Reddit, academic papers, Wolfram Alpha for computational knowledge, writing more to generate creative content such as songs, articles, and more.

Advanced Features

3. Perplexity Pro

  • Copilot Feature: This feature enhances the search experience by asking clarifying questions for more accurate results. It is particularly useful for open-ended and technical queries.

  • Pro Search: Engages with users to fine-tune answers based on preferences, providing a more personalized and comprehensive search experience. Perplexity Pro allows up to 600 Pro searches per day. The free plan allows five Pro queries every four hours.

4. Perplexity Pages

Content Creation: Use Perplexity Pages to generate eye-catching, shareable content with data collection and AI models like GPT-4 and Claude 3. Customize content based on your audience's expertise level.

5. Information Management:

  • Collections: Organize related searches into collections by topic or project, adding contributors and adjusting privacy settings. Click on Library → Collections → Create a collection.

  • Threads: Keep threads private or share them publicly via a URL.

6. Interacting with Data:

  • File Upload: Enhance searches by uploading documents and images.

  • Custom Prompts: Tailor each thread in a collection with specific prompts to refine search results.

7. Practical Uses:

  • Travel Planning: Utilize Pro Search for streamlined trip planning.

  • Research: Access academic databases for detailed studies and gather business insights for professional decisions.

8. Maximizing Efficiency with Perplexity AI:

  • Search Effectively: Use straightforward keywords or upload files for context-rich searching.

  • Customization: Adjust AI settings for language, format, and tone to suit your needs.

  • Privacy and Collaboration: Maintain privacy or share threads, and customize collections with targeted prompts.

Conclusion: Perplexity AI is a versatile tool that enhances productivity and efficiency across content creation, data management, and practical applications. For more information, visit Perplexity AI's website and check their FAQs and technical documentation.

Important Links to learn more:

https://www.techtarget.com/searchenterpriseai/tutorial/How-to-use-Perplexity-AI-Tutorial-pros-and-cons

https://clickup.com/blog/perplexity-ai-review/

https://zapier.com/blog/perplexity-ai/

https://www.perplexity.ai/hub/getting-started

Apple engineer designs new AI email organizer

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Zero Inbox is more than just a cleanup tool; it's a productivity booster for both individuals and businesses. With features that prioritize data security and minimize time spent on email sorting, Zero Inbox is the smart choice in simplifying your email experience. Try It.

AI Investments Drop Drastically as Investors become more cautious.

Generative AI investment at the early stages has seen a significant decline, with seed funding dropping 76% from a high in Q3 2023. By Q1 2024, investment fell to $122.9 million, marking the lowest value and number of deals since the boom initiated by ChatGPT's launch in November 2022.

This downturn follows an initial surge of capital but is now tempered by investor caution, driven by market saturation and emerging technologies making some startups obsolete. Investors are now prioritizing differentiation and profitability in potential investments, shifting focus from infrastructure to application-focused AI startups, despite growing skepticism about the return on investment.

🧰 AI Tools

Code and Programming II

  • UsemageAI: Generates a webapp from a title, description, and other simple parameters.

  • Metabob: Improve and automate code reviews.

  • CodiumAI: Get non-trivial analysis suggested right inside your IDE or Git platform, so you can code smart and stay confident when you push.

  • Fix My Code: Helps developers find and fix bugs in their code.

  • AI Code Mentor: Code explainer tool that helps developers understand how code works across various programming languages.

  • Text Blaze - Automate Anything With AI & Use it Anywhere.*

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📰 Publications I am currently reading and recommending:

  • 5 Steps Friday - Simple success for jacked nerds. Join 73,000+ subscribers and get weekly tips on marketing, health, and earning more.

  • Deep Walks - The newsletter for deep thinkers. Perspective-changing quotes, reflections, and essays on everything from world religion to ancient philosophy.

How does AI Processes Information?

OpenAI, developer of ChatGPT, faced criticism for potential risks in advancing AI technology. In response, it published a research paper aimed at making AI models more understandable. The paper introduces a method to examine how these models process information, including potentially harmful content. This work, co-authored by leaders of the now-disbanded "superalignment" team, highlights efforts to enhance AI safety amidst internal challenges, including recent executive changes at OpenAI.

In a nutshell, AI processes information by first collecting and cleaning data, then identifying key features relevant to its tasks. It uses these features to train a mathematical model, typically through a neural network, learning from patterns in the data. Once trained, the AI applies this model to make decisions or predictions on new data. This cycle often includes a feedback mechanism to refine the model's accuracy based on its performance, enhancing its ability to handle complex tasks effectively.

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