Guest post: What’s hot in KM? A report on SKILLS 2023

The Washington state court's ban on AI-enhanced video evidence raises concerns about its reliability, particularly in light of recent amendments to the Federal Rules of Civil Procedure. This ruling highlights the ongoing challenges associated with using AI-enhanced video as evidence in court.

The Federal Trade Commission (FTC) has started using its unfair trade practices authority to regulate generative AI tools. This move comes after President Biden's executive order encouraging the FTC to protect consumers and workers from potential harms caused by AI. The FTC has acknowledged that it can use its existing power to address illegal practices related to AI.

The global legal technology market is predicted to reach $50 billion by 2027 due to the impact of generative AI (GenAI), according to Gartner. GenAI has the potential to bring automation to the legal space, leading to increased adoption of legal technology tools. Legal departments are advised to consider adopting developing legal technologies to meet business demands and understand the limitations and risks of using GenAI. The implementation of GenAI may require significant changes in legal department operations and talent needs.

"The Coming Rise of the Zero-Humans Company" by Wayne Chang is an article discussing the concept of companies that operate without human employees. The article provides information about the item ID, creation and last edited time, and the status of the article. It also includes a URL to access the full article on Wayne Chang's website.

Cognition, a six-month-old AI coding startup, has received a $175 million investment led by Founders Fund, valuing the company at $2 billion. The startup recently launched an AI-powered coding assistant called Devin. Despite a product launch setback, the promise of a chatbot that can write and fix code has attracted repeat investments. Founders Fund had previously led the startup's Series A investment at a $350 million valuation.

Microsoft introduced three smaller A.I. models called Phi-3, which are cheaper and can be used on smartphones and regular computers. These models perform almost as well as the larger GPT-3.5 system. The smaller models require less processing and are more affordable, allowing more customers to use A.I. in various applications. Microsoft, along with other tech companies, believes that customers are willing to sacrifice some performance for affordability. The smaller models offer a trade-off between power and size, making them faster and less expensive.