AI Goes to Court 🚨 🤖

And Working 90,000 Hours

In today’s email:

  • 🔬 Research highlights: Brush Up Your Code: GitHub's Code Brushes

  • 🚨 Industry news: Stability AI Fights Copyright Claim by Getty Images

  • ⚖️ Policy and regulation: AI Can't Invent, But It Can Innovate: Navigating Patent Law in the Age of Artificial Intelligence

  • 🌐 AI and society: AI-ssisted Productivity: Working Smarter, Not Harder, But What about us?

🖌️ Brush Up Your Code: GitHub's Code Brushes

Code Brushes is a project by GitHub Next that updates code "like painting with Photoshop" using machine learning.

With this functionality, developers can "brush" over their code to observe it update in real time.

For varied purposes, there are included a variety of brushes. One brush, for instance, makes code more readable, which is crucial when working on open-source projects or coding as a team.

These more brushes are also present:

  • Debugging (inclusive of debugging statements)

  • Adding types

  • Build robust (improves compatibility)

  • Bug fixes

  • The generation of unique brushes is also supported by Code Brushes

  • One illustration is a brush that automatically changes form to be increasingly accessible.

GitHub claims that while they investigate using machine learning to improve developers' processes, they’re concentrating on ways to empower developers instead of automating them, including other elements to make developers flourish.

The contentious GitHub Copilot serves as the engine behind Code Brushes. Copilot utilizes OpenAI technology to produce code and hasten software development.

A class-action complaint about Copilot was filed against Microsoft, the owner of GitHub, and OpenAI last year. The action tries to determine if Copilot violates developers' rights by copying their code without giving proper credit.

⚖️ AI Goes to Court: Stability AI Fights Copyright Claim by Getty Images

Getty is suing the developer of Stable Diffusion for copyright infringement. One of the most used text-to-image technologies is stable diffusion. Unlike many competitors, the generative AI model may operate on a local computer. Stock photography service Stability AI, the company behind Stable Diffusion, is being sued by Getty Images for allegedly violating copyright.

Text-to-image generators like Stable Diffusion have drawn attention to possible copyright violations. The use of human artists' works to train the models without their consent or payment has been criticized.

Stability AI has been charged with utilizing Getty Images' content, and legal action has been taken. Stability AI has been open about how its model is trained; however, the photos used for alternatives like DALL-E 2 have yet to be made public. But that might have gotten the company into trouble now.

Stable Diffusion was taught using photos from the organization Common Crawl, which crawls billions of web pages each month, according to Andy Baio and Simon Willison's independent review of 12 million of the 2.3 billion images used in the training process.

The use of copyrighted content to train AI models raises some legitimate issues, it would seem. If a compromise cannot be reached between allowing AI training and honoring the work of human creators, the number of such cases will likely increase over the upcoming months and years.

🤖 AI Can't Invent, But It Can Innovate: Navigating Patent Law in the Age of Artificial Intelligence

While the Federal Circuit Court of Appeals made it plain at the start of the year that only humans may be inventors and that an AI program itself cannot obtain a patent, this in no way implies that AI-assisted ideas are not patentable. While an AI program's result might need to be completed or creative (it is frequently not), the process by which it is produced often is. In the upcoming year, instances addressing these issues are likely to increase. Of course, if the proper procedures are taken to safeguard such rights for all types of AI-assisted goods and services, trade secrets and copyright protection remain available.

So, for now, robo-inventors need not apply.

🦾 AI-ssisted Productivity: Working Smarter, Not Harder, But What about us? 🤷

Ever since humans can remember, we’ve been working, toiling, and moiling to earn that bread, secure that bag. In fact, it has been said that a human will have worked 90,000 hours in their lifetime, a third of one’s life spent laboring beneath the sun and, eventually, under the stone. Maybe AI can help.

The desire to increase productivity is shared by many enterprises. A study conducted by Accenture reveals that artificial intelligence has the potential to boost profitability by an average of 38% and productivity by 40%. As more duties are delegated to employees, they have more time to concentrate on the important things. Indeed, they may give their all to the projects they enjoy and are proud of.

The rise of the machines is here to stay.

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