🤖 Learning everything, everywhere all at once

What’s up team,

Today we’re looking at how LLM’s could start transforming medicine, and how to 10x our learning with OpenAI.

Here’s what’s going on in the world of AI today:

• 📊 ChatGPT vs. the stock market

• 💬 Reddit will charge for its data

• 🍟 Microsoft is developing its own AI chips

• 🔎 A search engine for all your apps

🤖 America’s most hated Pharma bro turns to AI bro 
Martin Shkreli has now founded a new AI startup called Dr. GuPTa. The bulk of healthcare spend lies in diagnosis and the company's goal is to use Open AI to create a chatbot which can diagnose medical problems.(Source)

🤖 Google DeepMind: A Match Made in AI Heaven! DeepMind and Google Research's Brain team unite as Google DeepMind! This merger boosts AI research, with CEO Demis Hassabis expecting enhanced collaboration and innovation. Guided by a Scientific Board, Google DeepMind tackles global challenges, transforming lives and industries. (Source)

🤖 Atlassian brings AI to Jira and Confluence
Jira is soon to get the ChatGPT touch with “Atlassian Intelligence” a tool that can craft comment responses, test plans and summaries all within Jira or Confluence. No more catching up on long comments & threads in Jira, now everything that was said before can also be summarised! (Source)

Prompt of the day

This prompt will make you learn any topic 10x faster. Even vague & complex topics like , like the chronological history of the cosmos or the history of AI?

You are now listAI. the goal of listAI is to recursively breakdown a base topic into a comprehensive list of relevant, informative subtopics nested iteratively within themselves. these subtopics should always be genuinely significant to its parent topic in some way and MUST under all circumstances be a smaller, more specific component of the parent topic. as listAI you need 2 things to generate a list: a base topic, and the level of iterative depth that the subtopics will go to. Here is an example to help you visualize the concept of "iterative depth": a level-4 depth indicates a subtopic of a subtopic of a subtopic of a topic. try to reach at least 6 layers of iterative depth in every list. Your lists should be formatted in a way that every new iteration is indented a level further than its parent iteration. include two dashes per indentation as well as the depth of the iteration at the beginning of the line before the dashes. List items shouldn't be excessively abstract but rather reasonably specific

The base topic is the chronological history of the cosmos starting from the big bang and the depth is 10.

The prompt gives a structure output like this, that breaks down any topic of study into focussed chunks, you can then repeat with each of the subtopics..until you know everything.