The buzz in the AI space last week was all about one thing - OpenAI's Code Interpreter. After much waiting and excitement, it's finally here. Code Interpreter is a big deal. It makes data analysis and coding easy for everyone, marking a major step forward for OpenAI.

📢 AI Spotlight: OpenAI releases Code Interperter, it’s most significant enhancement since GPT-4.

🔍 AI in Action: LinkedIn and AI: Shaping the Future of Work

Here’s what we have today:

📢 AI Radar

1. OpenAI is now providing all ChatGPT Plus users access to their revolutionary feature, the Code Interpreter. This marks the most significant enhancement since the release of GPT-4, enabling every user to function as a data analyst. Here’s some content pieces to help you get inspired with what you can do with Code Interperter:
   15 mind-blowing use cases
   First impressions deep dive
   Deeper dive into the capabilities with different tools

2. OpenAI is kickstarting 'Superalignment', a project led by Ilya Sutskever and Jan Leike, aimed at teaching advanced AI systems to follow human intentions. This four-year project, which will use 20% of OpenAI's computing power, also seeks to create an AI that can itself align other AI systems with human intent. OpenAI is inviting talented machine learning specialists to join this groundbreaking effort. (link)

3. For the first time since its launch, ChatGPT has seen a reduction in monthly visits, with a 10% drop from May to June, according to SimilarWeb. Although the traffic is lessening, it is important to note that the number of active and paying users remain crucial indicators of its success. (link)

4. AI startup Inflection AI is developing a supercomputer equipped with a remarkable 22,000 NVIDIA H100 GPUs, potentially making it one of the largest in the industry. The supercomputer is set to significantly enhance the performance of the company's Inflection-1 AI model, used to power the Pi chatbot. (link)

🔍 AI in Action - LinkedIn and AI: Shaping the Future of Work

LinkedIn's goal is simple - to give every worker in the world a fair shot at success. Over the last 15 years, they've used AI to connect people with jobs, learning opportunities, and each other. But they're always looking to do more. That's why they've started using advanced AI and large language models to give users more control.

At LinkedIn, it was the engineering and data teams led by Ya Xu who made all this happen in a speedy three months. They made a 'LinkedIn Gateway' where engineers and product managers can play around with AI models from OpenAI and Hugging Face. This way, they could see what these AI models can do and get inspired.

They also held a big Hackathon, where different teams at LinkedIn could work together and learn from each other. And they built the Generative AI Playground, a space where engineers can use LinkedIn data and cutting-edge AI to make cool new things.

Education was a big part of the process. They held meetings and sessions to get everyone up to speed on the AI tools they were using. And they made sure to keep their AI responsible by checking all the AI-generated content to make sure it's good quality.

Introducing AI-Powered Tools for Users

LinkedIn's AI progress expands from experimentation into their products, led by Tomer Cohen, Chief Product Officer. They've introduced AI-powered collaborative articles so users can share knowledge. They've also made a tool that gives personalized suggestions for LinkedIn profiles. This makes it easier for users to show off their skills and experiences.

And for recruiters, there's the AI-powered job description tool. It's a useful feature that creates a draft job description just by inputting the job title and company name. This helps save time and makes it easier to write job postings.

That's all for today! If you’re looking to accelerate your business growth with AI:

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