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- 🤖 OpenAI’s Company Structure Explained
🤖 OpenAI’s Company Structure Explained
PLUS: AWS Announces New AI Chip
Welcome back AI enthusiasts!
In today’s AI Report:
👷OpenAI’s Company Structure Explained
📊AWS Announces New AI Chip
🛠5 Trending Tools
💰Venture Capital Updates
💼Who’s Hiring?
Read Time: 3 minutes
🗞RECENT NEWS
OPENAI
👷OpenAI’s Company Structure Explained
Image Source: Win McNamee/Getty Images
OpenAI was initially launched as a nonprofit in 2015 to develop Artificial General Intelligence (AGI) that benefits humanity. So, how does the company’s equity compensation work? Is OpenAI profitable?
Key Details:
Company Structure:
In 2019, OpenAI shifted from a nonprofit model to a “capped profit” framework called OpenAI LP to raise capital in pursuit of its mission. This framework provides investors and employees a capped return if the company succeeds, allowing OpenAI “to raise investment capital and attract employees with startup-like equity.” However, any returns beyond what OpenAI owes investors of OpenAI LP are funneled into the original OpenAI nonprofit entity.
Employee Compensation:
OpenAI’s compensation plan includes two factors:
Base Salary: a fixed amount of income earned every few weeks.
Profit Participation Units (PPUs): a type of equity compensation entitled to a percentage of the profits. For example, if you own 1 PPU and 100 PPUs exist, you’re entitled to 1% of the company’s profits.
When candidates are given an offer from OpenAI, they don’t know how many PPUs they’ll receive or how many exist. So, candidates can’t determine if they’re earning 1% or 0.001% of profits.
PPUs contain a 2-year lock, meaning a new hire can’t sell their units within the first 2 years.
Recent OpenAI Offer:
The candidate earns a yearly base salary of $300K with a $2M PPU grant vesting evenly over 4 years, bringing total annual compensation to $800K. Examine the offer’s breakdown here.
Why It’s Important:
Profit interests, like PPUs, are assigned a “liquidation threshold” equal to the company’s equity value. So, OpenAI must hit profits for employees to redeem any value from their PPUs.
OpenAI recruiters expect to turn a profit once they achieve Artificial General Intelligence (AGI).
AMAZON
📊AWS Announces New AI Chip
Image Source: SINTEF Energy Research
During Tuesday’s Reinvent conference in Las Vegas, Amazon Web Services (AWS) announced Trainium2, a chip designed to build AI models.
Key Details:
Amazon’s Trainium2 chips are built for deploying AI applications, including open-source conversational chatbots like OpenAI’s ChatGPT or Anthropic’s Claude 2.
Trainium2 handles neural networks with trillions of parameters, or neural weights, providing scale and power for users to train a 300-billion-parameter Large Language Model (LLM) in weeks versus months.
The chip can deliver 4X faster training performance with 3X more memory capacity than its predecessor while improving energy efficiency (i.e., performance per watt) up to 2X.
Why It’s Important:
The trillion-parameter count is an industry obsession because the human brain is believed to contain 100 trillion neuronal connections.
A computer’s ability to interpret, manipulate, and comprehend human language can scale to exceed human performance by constructing a trillion-parameter neural network program.
🛠TRENDING TOOLS
🧮Julius is a data analyst who solves math problems and creates visualizations.
📱MAGE generates full-stack web apps in Wasp, React, Node.js, and Prisma.
👩⚕️LiarLiar detects fluctuating heart rates and shifting facial expressions during video calls.
⛲️Flowpoint optimizes conversations, prioritizes impactful solutions, and provides actionable data-driven decisions.
💻Manot is an insight management platform that detects blindspots in your computer vision model.
💰VENTURE CAPITAL UPDATES
On ChatGPT’s first anniversary, its mobile app topped 110 million installs and nearly $30M in revenue.
Kognitos raises $20M to help businesses automate back-office processes.
SeeChange Technologies secures $10M for AI-driven retail solutions.
💼WHO’S HIRING?
Cohere (Remote): Finance and Accounting Co-op Intern, Winter 2024
Shield AI (San Diego, CA): Planning and Controls Engineering Intern, Summer 2024
Hugging Face (Remote): Founding Decentralized ML Research Engineer
🤖PROMPT OF THE DAY
CUSTOMER LOYALTY
🎉After-Sales Support
Analyze [Product/Service] and recommend ways to improve after-sales service and streamline customer support. Currently, our company offers support through [Current Channels]. What initial improvements can our company make to better assist customers who purchase [Product Category]?
Product/Service = [Insert Here]
Current Channels = [Insert Here]
Product Category = [Insert Here]
📒FINAL NOTE
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