This Week's Most Read: Generative AI and Its Impact on Cybersecurity

1. Generative AI and Its Impact on Cybersecurity – an opinion piece by two Verizon executives

Generative AI’s popularity has skyrocketed in such a short amount of time, and is quickly being embraced by both startups and established organizations alike. As with any new technology, there are risks that in many cases are caught in hindsight after a breach or incident. We see this across industries such as banking.

Since we cannot ignore or terminate generative AI’s use and adoption, it’s crucial that we understand and anticipate its risks. One such risk is its impressive ability to mimic humans. The other is its potential ability to scale cyberattacks. If left overlooked, generative AI may have a significant, negative impact across industries in the cybersecurity landscape.

2. Intel Targets AI With Next-Gen CPUs

Intel is bringing AI to consumer PCs by the end of the year through its new Meteor Lake chips.

The company revealed during its second-quarter earnings call that its AI-powered PC chips would be arriving in the third quarter.

Meteor Lake is the codename for Intel's next-generation processors for consumer desktop PCs.

It marks Intel’s first dedicated AI engine integrated directly into an SoC, with the company's Q2 earnings presentation billing Meteor Lake as “bringing AI to the PC at scale.”

The world got a glimpse of Meteor Lake at Microsoft Build 2023. The pair announced a “multiyear” collaboration to “drive the development of AI on personal computing.”

3. Amazon Creates Its ‘Most Ambitious’ AI Group

Amazon has created a "central team" to work on its “most ambitious” AI project.

According to an AI Business source who has direct knowledge of the development, the new group will work on large language models. It will be led by Rohit Prasad, head scientist for Amazon's digital assistant Alexa. He will report directly to CEO Andy Jassy.

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Amazon now joins the cadre of other U.S. tech giants charging forward on generative AI research, applications and platforms: Google, Microsoft and Meta, which went full-bore in June.

In an email, Jassy said Prasad would lead its “most expansive” large language model efforts and his group will act as the “central team.”

"While we've built several LLMs around the company, and have several others in flight, we are going to pool some resources centrally to build our most ambitious LLMs,” Jassy wrote.

4. AI Code Generation Models: The Big List

AI Business continues its generative AI long lists with a look at code generation models.

Explore the workings and abilities of these transformative AI systems that can code entire programs from the ground up based solely on text prompts.

Uncover StarCoder from Hugging Face, GitHub’s Copilot and get to grips with Ghostwriter from Replit.

5. Dell Unveils Full-Stack Generative AI Solutions

Dell unveiled solutions that it said would simplify the deployment and adoption of full-stack generative AI for its enterprise clients. The offerings build on a recently announced partnership with Nvidia called Project Helix.

Dell Generative AI Solutions will encompass Dell's IT infrastructure, PCs and services to provide tools to deliver solutions from desktops to data centers, edge locations and public clouds. 

Dell Validated Design for Generative AI with Nvidia is an inferencing blueprint meant to accelerate the deployment of a modular, scalable and secure generative AI platform in the enterprise. 

Dell Professional Services lets clients develop a generative AI strategy to identify optimal use cases and ways to achieve their goals, tap full-stack implementation and adoption services to apply the AI platform to specific use cases such as customer operations or content creation.