💼 ChatGPT Channels Its Inner Mike Ross

ALSO: Chip on America’s Shoulder

In today’s Tracker:

Read time: 4 mins

  • 🧪 Research highlights: The Rise of Robo-Lawyers: GPT-4 Passes Bar Exam with Flying Colors

  • 🚨 Industry news: Chips and Chats: How US Export Rules Fail to Silence China's AI Boom

  • ⚖️ Policy and regulation: FTC Cracks the Code: Unleashing the Law to Tame Artificial Intelligence

  • 🌐 AI and society: AI Gold Rush: India's Talent War Turns Salary Doubles into Extravagant Triples

  • 🧰 Tool of the day: Contentinator: Get Your Creative Juices Flowing

  • 🧠 Let’s get smart with AI: When Machines Become Brainy; What Is Machine Intelligence?

⚖️ The Rise of Robo-Lawyers: GPT-4 Passes Bar Exam with Flying Colors

CodeX, a legal technology company, and Stanford University's Center for Legal Informatics have partnered to deploy GPT-4, the most recent Large Language Model (LLM), for taking and passing the Uniform Bar Exam (UBE).

GPT-4 surpassed previous LLM scores and scored in the 90th percentile, passing both the multiple-choice and essay portions of the examination.

Although GPT-4 is insufficient for use by practicing attorneys, it is the first LLM intelligent enough to enable professional-grade AI products.

The development of LLM programs, driven by the scope of the underlying models, has the potential to equalize the playing field and elevate the legal profession.

With the capacity of LLMs to make attorneys more productive, they can expand access to justice by enabling attorneys to serve more clients.

Concerns exist, however, regarding the control, access, and instruction of attorneys in a world where much attorney work can be delegated to artificial intelligence.

⚔️ Chips and Chats: How US Export Rules Fail to Silence China's AI Boom

Despite the United States imposing export controls on microchips to impede China's technological advancement, especially in supercomputers and artificial intelligence (AI) systems, the impact on China's tech sector has been minimal.

The rules restrict the shipment of Nvidia and Advanced Micro Devices chips, which are extensively used in developing artificial intelligence systems.

However, to comply with US regulations, Nvidia has created slower variants of its chips for the Chinese market, with the most recent variant, the Nvidia H800, requiring 10% to 30% longer to complete specific AI tasks and costing more.

Nevertheless, even the slower chips represent an improvement for Chinese companies, and Tencent is enthusiastically adopting them. While the export controls seek to limit China's progress in high technology, they face the challenge of avoiding damage to American businesses.

The restrictions impose limitations on the AI industry because they emphasize supercomputing capabilities rather than the capacity to process enormous quantities of data, which is essential for large language models.

The export restrictions have not significantly hindered China's AI industry, and experts believe there are algorithmic means to circumvent the restrictions.

In addition, efforts are being made to reduce the cost and size of AI models, which would necessitate fewer processors and lessen the impact of US speed limits.

Although the export controls are notable, they have yet to have the devastating effect that was initially predicted.

🌐 FTC Cracks the Code: Unleashing the Law to Tame Artificial Intelligence

The Federal Trade Commission (FTC) of the United States will soon enforce a new law to mitigate the risks associated with artificial intelligence (AI).

The law will address potential discriminatory and deceptive practices, privacy concerns, and transparency issues associated with AI systems.

It will enable the FTC to pursue legal action against businesses that engage in unjust or deceptive AI-related practices.

This decision has been made as AI technology advances and raises ethical and societal concerns.

The enforcement of this law by the FTC is intended to protect consumers and assure the responsible development and deployment of AI.

💰 AI Gold Rush: India's Talent War Turns Salary Doubles into Extravagant Triples

The global demand for artificial intelligence (AI) talent has sparked a fierce conflict for talent, with India becoming a recruiting hotspot for AI professionals.

Companies are doubling salaries and offering extravagant benefits to attract AI professionals, resulting in a national shortage of data scientists, machine learning specialists, and skilled engineers.

Renowned for its abundant, inexpensive tech workers, India is experiencing a talent shortage in crucial disciplines. There are approximately 416,000 persons employed in AI and data science in the United States, while the estimated demand is an additional 213,000.

Multinational corporations are establishing innovation centers and research and development hubs in India to access the talent pool.

In the coming years, the scarcity of AI talent is expected to deteriorate, causing companies to compete fiercely for limited resources. India produces 16% of the world's AI talent, making it the second-largest pool of highly competent AI talent behind the United States.

As the global demand for skilled employees rises, the AI talent crunch will persist for years.

🎨 Contentinator: Get Your Creative Juices Flowing

Contentinator, an AI-powered content creation tool, communicates with the well-known design program Figma. Contentinator aims to simplify the content creation process by providing customers with AI-generated content directly within their design program.

Learn more about the tool here.

🧠 When Machines Become Brainy; What Is Machine Intelligence?

Machine intelligence refers to the capacity of machines or computer systems to imitate and simulate human intelligence. It entails the creation of algorithms and techniques that enable machines to learn, reason, make decisions, and carry out tasks that traditionally require human intelligence.

—Kai-Fu Lee, chairman and chief executive officer, Sinovation Ventures

Humans need and want more time to interact with each other. I think AI coming about and replacing routine jobs is pushing us to do what we should be doing anyway: creating more humanistic service jobs.

—Will Rogers

Don’t let yesterday take up too much of today.

Credit: Unknown, but appreciated

  • 💻 AI Surge Cloud - is a decision intelligence platform that doesn’t require any programming.

  • 🌐 WhatTheDiff.ai - is an AI-powered code review helper made to speed up and improve the accuracy of code reviews.

  • 📱 Dust Design and Deploy - an AI tool allowing developers to build and deploy large language model apps.

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