This Week in Generative AI - 1 to 10 July

Over 70% of Sales Teams Plan to Use More AI

According to survey findings, 86% of sales professionals using generative AI to write messages to prospects say it’s effective.
According to another survey, 71% of sales professionals say AI/automation tools have impacted how they plan to sell in 2023, with automating manual tasks, offering data-driven insights, and helping write sales content being the most popular use cases for AI in sales.
AI allows salespeople to spend more time selling by automating time-consuming tasks such as data entry and lead nurturing.

The US is considering imposing new restrictions on the export of chip-making equipment to China, focusing on chips powering artificial intelligence (AI) technology.
The move is part of efforts to prevent China from using technology to strengthen its military.
Chip-makers like Nvidia and Advanced Micro Devices have already seen a negative impact on their shares.

Over 60% of Japanese companies are either currently using or considering the use of generative AI, according to a survey by Teikoku Databank.
However, most of these companies still need detailed plans for implementing AI. Large companies are more likely to use generative AI but face more restrictions.
The next most-popular usage of AI is for image generation, at 14.3%, followed by audio, music, or video generation, at 7.4%.

The Pentagon is reportedly conducting large language AI tests to evaluate the reliability of major military tasks.
The tests involve the use of five generative AI tools, including OpenAI’s ChatGPT and Google’s Bard.
The exercise, which runs for eight weeks, aims to address concerns about bias and misinformation in AI systems.

OpenAI, the creator of ChatGPT, is concerned about the potential dangers of superintelligent AI systems.
They are forming a team of experts to regulate and oversee these systems to address this.
OpenAI is committed to aligning superintelligence with human values and is dedicating computing resources to this cause. They plan to train their models using human feedback and hire human researchers.