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Hard Numbers: Doctor vs. machine, Pony rides to an IPO, Hot chips, Foxconn’s crazy demand

90: In a recent study designed to evaluate how doctors can work with large language models, ChatGPT alone achieved a 90% accuracy rate in diagnosing medical conditions from case histories, significantly outperforming human doctors. Meanwhile, physicians who used ChatGPT as an assistant scored 76% on average — only slightly better than those not using ChatGPT, who scored 74%.
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Photo by Frugal Flyer on Unsplash

Hard Numbers: Hey big spender, an iPhone boost, Google’s robot coders, Super Micro’s super downfall

200 billion: Capital expenditures from four of the largest US tech companies — Amazon, Microsoft, Meta, and Google — are set to exceed $200 billion this year, inflated by enormous spending on artificial intelligence software and hardware investments. Amazon’s spending alone surged 81% in a year, leading CEO Andy Jassy to assure investors the company’s bets will pay off. These are record sums at a time when Wall Street seems hesitant to keep rewarding excessive spending on AI.

46 billion: Apple reversed its fortunes after a bad year of iPhone sales, selling more than $46 billion of its signature smartphone between July and September — a 6% increase year over year. The company’s new iPhone 16 is part of its push into artificial intelligence — marketed as a phone capable of handling all of its Apple Intelligence features, such as a supercharged Siri, new writing tools, and call transcription — which started rolling out last week. The company hopes that AI can convince customers old and new that it’s time to pay up for a new iPhone, which starts at $799.

25: More than 25% of all new code produced by Google is written by artificial intelligence, according to CEO Sundar Pichai. AI produces the code, which is then reviewed and accepted by human engineers. A recent Stack Overflow survey found that 76% of all software developers are using or are planning to use AI to code.

45: Super Micro Computer, a key supplier of Nvidia servers, saw its stock fall 45% after its auditor, Ernst & Young, resigned because it was “unwilling to be associated with the financial statements prepared by management.” Once one of the hottest AI stocks, the company has now wiped out all of its 2024 gains.

The logo of semiconductor company Advanced Micro Devices Inc (AMD) is seen on a graphics processing unit (GPU) chip in this illustration picture taken February 17, 2023.

REUTERS/Florence Lo/Illustration/File Photo

AMD has a fancy new chip to rival Nvidia

The US semiconductor designer AMD launched a new chip on Oct. 10. The Instinct MI325X is meant to compete with the upcoming Blackwell line of chips from market leader Nvidia.

Graphics processing chips from Nvidia, AMD, and Intel have been the lifeblood of the artificial intelligence boom, allowing the technology’s developers to train their powerful models and deploy them worldwide to users. Major tech companies have clamored to buy up valuable chips or pay to access large data centers full of them remotely through the cloud.

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An illustration of US and Chinese flags in front of a circuit board with semiconductor chips.

REUTERS/Florence Lo/Illustration/File Photo

China wants its companies to ditch Nvidia

Nvidia’s highest-end chips are off-limits to Chinese companies due to strict export controls from the US. That hasn’t stopped developers from either buying lower-grade chips or finding the best chips in underground markets, but that may soon change.

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FILE PHOTO: A smartphone with a displayed NVIDIA logo is placed on a computer motherboard in this illustration taken March 6, 2023.

REUTERS/Dado Ruvic/Illustration/File Photo

Nvidia’s high-flying earnings aren’t good enough

Nvidia’s earnings reports have become a cultural phenomenon, with super-fan investors even throwing watch parties to tune into how high-flying the chip maker’s marks will be each quarter.

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Two hands touching each other in front of a pink background

Photo by Igor Omilaev on Unsplash

Hard Numbers: Automate this, Everything’s expensive, Chips delayed, Intel cuts costs, Groq on the rise

30: By 2030, work tasks that currently take up to 30% of US work hours will be automated with AI, according to a new report by the McKinsey Global Institute. While it will likely eliminate jobs in customer service and office support, it should bolster STEM, creative, and legal professions, McKinsey said.
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A photo illustration of a smartphone displaying the NVIDIA Corporation stock price on the NASDAQ market, with an NVIDIA chip visible in the background.

Jonathan Raa/NurPhoto via Reuters

A chip bottleneck

Margrethe Vestager, the European Union’s competition chief, has warned of a “huge bottleneck” involving Nvidia. The US semiconductor company plays a pivotal role in designing chips necessary for training and running artificial intelligence models and applications — good for 80% of the market. In recent months, Nvidia has become a $3.1 trillion company — now the third-most-valuable firm in the world behind only Microsoft and Apple.

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Nvidia logo in Taipei, Taiwan.

Reuters

Hard Numbers: Nvidia soars, Salesforce’s UK investment, step up for your eye exam, More millionaires (more problems?), Apple’s rebound

3 trillion: Nvidia stock briefly surpassed $3 trillion in market capitalization this week ahead of a 10-for-1 stock split that’ll make their share price much cheaper. The chipmaker, which is the third most valuable company in the S&P 500 behind Microsoft and Apple, has become a major beneficiary of the AI boom because of its powerful GPU chips. Stock splits don’t affect the value of a company’s stock, but make the share price more palatable for retail investors.
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