June 2023 – ChatGPT vs. lawyers, potential of GenAI, AI modelling

Humiliated lawyers fined $5,000 for submitting ChatGPT hallucinations in court: ‘I heard about this new site, which I falsely assumed was, like, a super search engine’

Lawyers who filed legal documents generated by ChatGPT have been fined. Read the article onfortune.com

📚 To follow up on our previous edition – if you are a lawyer, don’t use ChatGPT in court. If you do, you might be set back a whopping 5,000$ dollars… and some scolding from the judge.

Schwartz, who created the ChatGPT-generated brief, already had a court hearing on June 8 in which he explained his actions. At the hearing, he said he didn’t know that ChatGPT could fabricate legal precedents, and added that he was humiliated and remorseful.

On Friday, U.S. District Judge Kevin Castel, who presided over the case in Manhattan, filed a sanctions order against Schwartz and LoDuca that said fake legal opinions waste time and money, damage law professionals’ reputation, and deprive the client of authentic legal help. “Technological advances are commonplace, and there is nothing inherently improper about using a reliable artificial intelligence tool for assistance,” the sanctions read. “But existing rules impose a gatekeeping role on attorneys to ensure the accuracy of their filings.” Rachel Shin
FORTUNE

The economic potential of generative AI: The next productivity frontier

Generative AI is poised to unleash the next wave of productivity. Read the article onmckinsey.com

🧠 Business and Generative AI – a closer look from McKinsey tells us that:

• Generative AI could add the equivalent of $2.6 trillion to $4.4 trillion annually (across 63 analyzed use cases)
• About 75 percent of the value that generative AI use cases could deliver falls across four areas: Customer operations, marketing and sales, software engineering, and R&D.
• Across the banking industry, the technology could deliver value equal to an additional $200 billion to $340 billion annually
• Generative AI could enable labour productivity growth of 0.1 to 0.6 percent annually through 2040

Also, the report stressed that we are only at the beginning of the era of Generative AI – full realization of its great potential is a matter of a long, long time.

New Google Shopping feature uses AI to model clothing on different body types

Google Shopping users in the US can now see what clothes at online retailers would look like on them. Read the article ontheverge.com

👚 Fashion and AI – Google launched an AI-powered “virtual try-on experience” that realistically displays how an item of clothing will look on a selection of real human models. Sadly, as of now, it’s only available in the US.

How does it work?

The new Google Shopping virtual try-on experience uses a diffusion-based generative AI model, which is trained by adding Gaussian noise to an image (essentially random pixels) that the model then learns how to remove to generate realistic images. The process allows Google’s AI model to realistically depict how an item of clothing would wrinkle, drape, fold, cling, and stretch on the available range of diverse models, regardless of what angle or pose they’re in. To be clear, the models for Google Shopping aren’t AI-generated — AI is simply used to shape the clothing around images of these human models. Jess Weatherbed
THE VERGE

How ChatGPT really works, explained for non-technical people

The transformer and GPT model explained for non-technical people with examples. Read the article onmedium.com

💡We shared our fair share of ChatGPT articles, but we guess never really took the chance to explain really how it works, especially for non-tech folks. Well, now’s a great time! Check out this great and simple guide to understanding ChatGPT, how language models work and why seemingly everyone went crazy for it (us included).

The release of ChatGPT by OpenAI at the end of last year has been phenomenal — even my grandma is asking about it. Its capabilities to generate human-like language have inspired people to experiment with its potential in various products. Its wildly successful launch even put pressure on tech giants like Google to rush to release their own version of ChatGPT.

But let’s be honest, for non-technical product managers, designers, and entrepreneurs, the inner workings of ChatGPT may seem like a magical black box. Don’t worry! In this blog, I’ll try to explain the technology and the model behind ChatGPT as simply as possible. By the end of this post, you’ll have a good understanding of what ChatGPT can do, and how it performs its magic. Guodong (Troy) Zhao
MEDIUM (BOOTCAMP)