💆‍♂️ Intel Solving AI's Biggest Business Challenge?

Hello AI Enthusiast,

A noteworthy AI story that's been evolving is the ongoing lawsuit between The New York Times and OpenAI & Microsoft. Just last week, our founder Gianluca Mauro shared his thoughts on what the NYT is after and his take on the whole situation.

OpenAI has recently answered back to the lawsuit concerning content regurgitation from its language models clarifying their intentions and point of view. The outcome could really shake things up in the AI industry. More on that in the News Bytes below. 👇

On a brighter note, we're happy to say that our fourth edition of the Master in Prompt Engineering course has just started! This week we had our usual networking event to welcome all the new students. It's amazing to see people from different places and jobs come together, all excited about tech. What's cool is that a lot of them are new parents, showing that you're never too busy to invest in personal growth and education.

Here’s a snapshot of the event:

One of the students made a great comment:

That's exactly what our community is all about – diverse, welcoming, and with a common passion for AI.

We're planning the fifth edition of the course. If you want in, join the waitlist to get early access and a nice discount.

Now, let's dive into the latest and most exciting AI news.

News Bytes 🗞️

• OpenAI responds to The New York Times' lawsuit (Our founder Gianluca wrote his opinion about this) about regurgitation from its language models, insisting that AI models require vast human knowledge to solve problems which justifies data usage from the internet under fair use. The company is negotiating content licensing deals with news publishers to train their AI systems.

• Following the lawsuit between OpenAI and the New York Times, there has been a surge in awareness leading more people to safeguard their copyrighted works. A collective of non-fiction authors has initiated legal proceedings against the usage of their copyrighted material without consent for the training of AI language models.

• Intel is establishing a new independent AI software company called Articul8, focusing on bringing enterprise AI systems into production within companies' data centers. This move addresses the demand for usable enterprise AI while addressing data privacy concerns and promises more control over sensitive data.

• Microsoft is introducing a new Copilot key on Windows PCs, replacing the menu button, to bring AI into everyday computer interactions. This development aims to enhance user experiences and productivity by incorporating AI assistance directly into the operating system.

• Google DeepMind has introduced a "Robot Constitution," based on Isaac Asimov's Three Laws of Robotics, to govern the internal decision-making process of upcoming intelligent machines. Even if the constitution intends to develop responsibly and ensure safety, it does not establish a formal legal framework for addressing issues related to robots.

• Google is set to launch a paid upgrade to its AI chatbot Bard, called Bard Advanced, which will feature new GPT-like bots and prompt improvements. It is speculated that Bard Advanced may be bundled with Google One, their storage subscription service, but details on which tiers will have access are currently unknown.

• Using advanced deep learning models¹, scientists have discovered new antibiotics after 60 years. The transparent AI models were trained to predict effective antibiotic molecules, particularly against MRSA which causes serious infections and numerous deaths annually.

• Paris-based startup Nabla, has achieved a valuation of $180 million following a recent funding round. Nabla has developed an AI copilot for doctors that generates accurate medical reports from consultations, aiming to save time on administrative tasks. This news follows the notable funding of Mistral AI last year, reinforcing Europe's growing imprint on the AI landscape.

• Intuition Robotics has developed a robot called ElliQ that uses AI to alleviate loneliness and isolation among older Americans. ElliQ engages in conversations, tells jokes, plays music, provides tours, and assists with health reminders, reporting lower loneliness among users. Can this be a potential cure for loneliness?

This week’s glossary 📖

1. Deep Learning Models: Advanced AI algorithms that mimic human brain neural networks to process vast data sets,

Educational Pill 💊

The Rising Ethical Repercussions in AI

The AI industry is grappling with complex challenges around the use of copyrighted and personal data.

Copyrighted Data: With AI, like those developed by OpenAI, relying heavily on vast data, the source of this data is a hot topic. When AI models use content from the internet, they often tread a fine line between fair use and copyright infringement. This is evident in recent legal actions, such as the lawsuit by non-fiction authors. The core issue here is using copyrighted material without permission, which raises questions about the need for transparent data-sourcing practices.

Data Privacy: As AI needs more personal data, keeping this info private is a big concern. Companies need to be really careful with this data, especially when there are cases of AI accidentally sharing or misusing private details. That's why solutions like Intel's new Articul8 can come in handy. They're focusing on using AI in a way that keeps sensitive data inside a company’s own walls, which helps keep our info safe and follows the law.

Balancing innovation with ethical considerations and legal compliance is crucial for the responsible growth of AI technologies.

LOLgorithms 😂

Being conservative must be a state of mind.

From our community 🤝

That’s the spirit to start the Master! 🦾

That is the end of our newsletter.

Remember, if your company is looking to implement AI technologies, we also offer customized corporate training.

Until next week! 👋