Most Read: Intel on the Decline, Nvidia’s Blackwell Chips Face Delay

Here are the most-read stories on AI Business this week:

Intel Shares Plummet to 50-Year Low Amid Massive Layoffs, Dividend Cuts

Intel has suffered significant setbacks as the chipmaker’s shares sank to their lowest value since 1974.

Intel’s share price dropped by 26% Friday, August 2 to just $21.48. By Monday it dropped below $20, dropping as low as $18.99.

To put things in perspective, Intel’s share price stood at $41.80 at the start of the year.

Traders reacted to a series of setbacks for the company, chief of which was the news that Intel was cutting 15% of its workforce, around 17,000 jobs.

Intel is also facing a backlash over instability issues with its 13th and 14th-generation Raptor Lake CPUs, which it’s facing two class-action lawsuits over.

News also emerged that Intel passed on a deal to snap up a stake in OpenAI, claiming generative AI wasn't a near-term market win

Read the full story of Intel’s steady decline

Design Flaw Delays Nvidia's Blackwell Chips Until 2025

Nvidia customers who ordered its new Blackwell flagship line of chips are facing delays as the company grapples with design flaws.

Nvidia discovered a flaw in its new B200 chips “unusually late in the production process,” according to The Information. 

The B200 chips were expected to be in partners' hands later this year, but the delay could impact production targets, forcing some shipments to be pushed back to 2025.

Related:Copyright Office Calls for Federal Law to Combat Unauthorized Deepfakes

Manufacturer Taiwan Semiconductor Manufacturing Company (TSMC) uncovered the reported design flaw, which affects the processor die connecting two Blackwell GPUs on a single board.

Nvidia will now have to rework the design before conducting further production tests with TSMC before it can move on to mass production.

Find out which customers are affected by the delays

Amazon Upgrades AI in 'Just Walk Out' Tech for Seamless Shopping

Amazon is upgrading the AI-powered technology behind its Just Walk Out system that allows shoppers to pick up items and walk out without going through a checkout.

Amazon is adding a new multimodal foundation model to the underlying AI technologies powering its Just Walk Out checkout system for retailers.

The multimodal model improves the accuracy of Just Walk Out by incorporating additional variables including lighting conditions and shopper behaviors. The new Just Walk Out AI now analyzes data from sensors and cameras simultaneously, instead of sequentially, combining multiple inputs to enable higher levels of accuracy.

The underlying AI of Just Walk Out no longer needs frequent retraining because the new model features continuous self-learning. The system continues to learn even when store fixtures are moved or merchandise in the store's catalog is changed.

Related:NASA's AI Algorithm Speeds up Mars Sample Analysis

Learn how Amazon plans to further expand its Just Walk Out tech

Musk AI Chatbot Under Fire for Sharing False Election Information

Lawmakers have written to Elon Musk calling for urgent updates to Grok after the AI chatbot shared disinformation about Democratic presidential candidate Kamala Harris on X.

A Grok post circulated on the social media platform Musk owns suggesting that deadlines for ballots had passed in several states, suggesting Harris could not have replaced President Biden after he stepped out of the race.

Lawmakers have raised concerns about the post, with five secretaries of state writing to Musk, demanding changes to the chatbot and its underlying model to prevent the spread of further misinformation, according to the Washington Post.

Minnesota Secretary of State Steve Simon is reportedly leading the effort, he’s joined by Pennsylvania’s Al Schmidt and Maggie Toulouse Oliver of New Mexico calling on Musk to make changes to “ensure voters have accurate information in this critical election year.”

Read what the senators wrote in their letter to Musk

How AI Is Revolutionizing the World of Education

Ed Watal, founder and principal of software firm Intellibus, discusses how AI can help teachers become more efficient, allowing them to focus on what matters most: teaching their pupils.

Read the full article

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