💡ChatGPT $80 Million Per Month

Plus: Tesla's $300 Million Supercomputer

August 31, 2023

Read time: 2 minutes (Click underlined topics or headings for links.)

Hey Edge Family, Good Morning! Here’s the latest AI news from the past 24 hours.

The Breakdown:

💎 𝟛 Tools to Give You The Edge
🚨 𝟚 AI Updates: ChatGPT $80M & Tesla supercomputer
💻 𝟙 Practical Use of AI: Mastering the Job Interview

Let’s jump in!

💎 𝟛 Tools to Give You The Edge

Surface Labs: AI-powered forms to help you increase conversions.

Try it here

Quicktask: Chrome extension ask and summarize anything, and get answers from ChatGPT and Bard

Try it here

Motionshift: Easy-to-use AI powered template editor

Try it here

TOGETHER WITH THE INFORMATION
💡Tech news your CEO reads

The Information is where you go to get the most important news about technology and business first.

It’s what leaders read to stay one step ahead
To gain market-moving insight into what’s next, of consequence and least understood
Get the latest tech news before everyone else does.

🚨 Breaking AI News 🚨

📆 ChatGPT $80 Million Per Month

Image Credit: Getty Images

OpenAI is on pace to hit $1 billion in annual revenue ahead of projections, caused by surging enterprise demand for ChatGPT.

Key developments:

OpenAI's valuation topped $27 billion after Microsoft's multibillion-dollar investment.
The launch of unlimited, higher-speed ChatGPT Enterprise signals OpenAI's push to capitalize on the BIG corporate appetite.
80% of Fortune 500 companies use ChatGPT.
Some report ChatGPT's quality declining, traffic has dropped 10% since it’s peak around June

Why you should care: ChatGPT is here to stay and with ChatGPT for enterprises being released there’s no stopping Open AI.

🖥 Tesla's $300 Million AI Cluster

Image credit: Tesla

Tesla is set to launch an ultra-powerful 10,000 GPU AI supercomputer on Monday that will rank among the fastest machines globally.

Key developments:

The Nvidia H100-based system will dramatically accelerate training for Tesla's full self-driving technology.
Tesla is simultaneously developing its own optimized Dojo supercomputer, budgeting over $2 billion annually on computing for AI training.
This comes after Elon Musk’s FSD demo live on Twitter showing the capabilities of their tech.

Why you should care: Tesla is pushing boundaries on AI hardware to gain a decisive edge in autonomous driving development. This supercomputer will only make their vehicles smarter.

Do you trust Full Self Driving cars

(Select one)

🔎Extra Insights🔍

🅰️ Alphabet Boosts AI Efficiency with TPU v5e, A3 VMs

Google unveiled a new TPU v5e AI chip balancing performance and efficiency, available now on Google Cloud. The TPU v5e provides 2x training and 2.5x inference performance per dollar versus the TPU v4. (Full article here)

🛒 Walmart Launches AI-Powered My Assistant for 50k Employees

Walmart is rolling out a generative AI-powered feature, My Assistant, to 50,000 employees in the US. (Full article here)

💣 AI21 Labs Raises $155M at $1.4B Valuation

AI startup AI21 Labs raised $155M led by Walden Catalyst and Pitango, valuing the company at $1.4B. Google and Nvidia participated. (Full article here)

💻 Real Life Use Cases

Chat GPT Prompt: Mastering the Job Interview

Use this prompt to prepare for any job interview you have coming up.

🔏 Copy and paste the prompt below ⏬ (Credit)

Delve into strategies for excelling in job interviews, particularly for (specific role e.g., managerial, technical). Discuss preparation techniques, behavioral questions, and showcasing expertise. Highlight the importance of post-interview follow-ups and feedback collection.

Here’s a link to the results ⬇️

ChatGPT

chat.openai.com/share/9d9d2424-ec9e-4268-ba19-94756f443a69

Daily Definition

TPU (Tensor Processing Unit)

A TPU, or Tensor Processing Unit, is a type of application-specific integrated circuit (ASIC) developed by Google specifically for accelerating machine learning workloads. Unlike general-purpose CPUs and graphics-specific GPUs, TPUs are optimized for the unique demands of neural network computations, allowing for faster training and processing of large-scale machine learning models. Imagine a specialized chip, fine-tuned for a singular purpose: to process the vast and intricate calculations that underpin AI models, especially those used in deep learning. This focus on speed and efficiency allows TPUs to enhance the capabilities and scalability of AI applications, making complex computations more feasible and efficient.

🔮 AI Inspiration

Which Picture is AI genereated?

(Select one)

Credit

Find the answer here

How was today's newsletter

That’s all for today!

If you have something interesting or just want to reach out, don’t hesitate to DM me on Twitter @Brandoncarterss

Thanks for your time today. If it is your first time here, welcome. I hope you found value in today’s Edge edition. If you are returning, thank you. It means the world to me that you spend a few minutes of your day with me. If you have any ideas you’d like me to cover in the future, reply to this email.

Thanks for reading see you tomorrow,

Best,

💡ChatGPT $80 Million Per Month

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