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Good morning! We hope your week is off to a great start. We've got some fresh AI news for you today, so grab your coffee and let's get started.

—Alex S, AI Wrap Up

AI WRAP UP

Here's what's brewing today:

• 👩‍⚖️ Is ChatGPT Safe for Work? Lawyers Weigh In

• 🚀 Meta's Threads Platform Hits 100 Million Users, Outpacing ChatGPT

• 🔬 OpenAI's Code Interpreter: A Threat to Data Scientists?

• 🔧 AI Insight Tutorial

• 🛠️ Tools & Resources

• 🎨 Artwork Spotlight
  

Let's dig in!

AI NEWS FLASH

👩‍⚖️ Is ChatGPT Safe for Work? Lawyers Weigh In

Source: The Washington Post

The Wrap Up: Lawyers are debating whether OpenAI's ChatGPT is safe for use in the workplace. The AI tool has been banned by some companies due to concerns about its ability to generate inappropriate content.

Key Points:

• OpenAI has implemented several safety measures, including a moderation API that blocks certain types of content.

• Despite these measures, some argue that they are not enough to ensure the tool's safety in a professional setting.

Why it matters: The debate over ChatGPT's safety highlights the broader issue of AI ethics and the need for effective moderation tools in AI applications.

AI NEWS FLASH

🚀 Meta's Threads Platform Hits 100 Million Users, Outpacing ChatGPT

Source: Business Insider

The Wrap Up: Threads, Meta's Twitter clone, has reached the 100 million user mark even faster than OpenAI's ChatGPT, according to data from Quiver Quantitative.

Key Points:

• Much of Threads' success is attributed to its integration with Instagram, giving it access to a massive existing user base.

• The rapid growth of Threads underscores the potential of social media platforms that are integrated with larger networks.

Why it matters: The success of Threads highlights the competitive landscape of AI-powered communication tools and the importance of strategic integration with larger networks.

AI NEWS FLASH

🔬 OpenAI's Code Interpreter: A Threat to Data Scientists?

Source: The Indian Express

The Wrap Up: OpenAI's Code Interpreter plugin for ChatGPT could potentially disrupt the job market for data scientists. The plugin allows ChatGPT to run code, create charts, analyze data, and more, effectively acting as an instantly accessible data scientist.

The Bottom Line: The advancement of AI tools like OpenAI's Code Interpreter underscores the potential of AI to automate complex tasks. However, it also highlights the need for ongoing discussions about the impact of AI on the job market.

That's all for today's AI brew! Remember to share this newsletter with your friends and colleagues. If you're not already subscribed, click here to get the AI Newsletter delivered directly to your inbox. Also, let's connect on Thread, my handle is @thealexsoltan.

—Alex S, AI Wrap Up

AI Prompt Tutorial

🤖 AI Prompt Tutorial:

Tutorial: Using OpenAI's Code Interpreter Plugin for Data Analysis

Step 1: Accessing the Plugin

First, you'll need to have access to ChatGPT Plus, which includes the Code Interpreter plugin. If you're not already a subscriber, you can sign up on OpenAI's website.

Step 2: Inputting Your Data

Once you've accessed ChatGPT, you can input your data. This could be sales data, customer data, website traffic data, or any other data relevant to your business. You can input data directly into the chat, or you can upload a file.
Prompt Example:

I have a dataset with columns for [insert column names here]. Could you please [insert desired action here, such as 'calculate the average value of', 'find the most common value in', 'create a chart of'] the [insert column name here] column?"

For example, if you have a dataset with columns for 'Sales', 'Date', and 'Product', and you want to calculate the average value of the 'Sales' column, you would fill in the blanks like this:

I have a dataset with columns for Sales, Date, and Product. Could you please calculate the average value of the Sales column?"

Step 3: Running Code

With your data inputted, you can now use the Code Interpreter to run code. For example, you might want to calculate the average value of a sales column, or find the most common customer location in your data. Simply type your code into the chat as if you were talking to a person. For example, you might say, "Calculate the average value of the 'Sales' column."

Step 4: Interpreting Results

The Code Interpreter will run your code and return the results in the chat. You can then interpret these results to gain insights about your business. For example, if you calculated the average sales value, this could give you an idea of your typical sales per customer.

Step 5: Further Analysis

You can continue to use the Code Interpreter to perform more complex analysis. For example, you might want to create a chart to visualize your sales data, or use machine learning to predict future sales. The possibilities are vast, and the Code Interpreter can handle a wide range of data analysis tasks.

Step 6: Implementing Insights

Finally, use the insights you gain from your data analysis to make informed decisions about your business. Whether it's identifying trends, spotting opportunities, or addressing challenges, data analysis can provide valuable insights for your online entrepreneurship journey.

AI TOOLS & RESOURCES

⚡ 5 AI tools to supercharge your productivity

AI ARTWORK SPOTLIGHT

📸 Image of the day: What if Famous Brands made Cruise Ships?(source)