Competition authorities were too slow to stop tech giants from dominating Web
2.0. They can’t repeat that mistake with AI
When a company triples in value in just a few months, as computer chip company
Nvidia has, investors take notice. But regulators do too, because they know from
experience how monopolies engage in illegal anti-competitive behavior that
squashes competitors and manipulates the market to expand their dominance. The
US Department of Justice (as well as other competition authorities and tech
observers) suspects Nvidia has used such tactics to entrench its chips monopoly,
and last month it was reported that the Department of Justice was opening an
antitrust investigation. It’s high time.
Before the pandemic, few beyond video game enthusiasts – whose top-of-the-line
gaming computers and consoles are built on high-capacity Nvidia chips – had ever
heard of the company. But thanks to the generative AI boom, Nvidia has become
one of the fastest-growing companies ever, and its chips have powered every
important AI milestone – including OpenAI’s development of ChatGPT, which holds
two-thirds of the AI business tools market.
Max von Thun is the director of Europe and transatlantic partnerships at the
Open Markets Institute, an anti-monopoly thinktank
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Tag - Nvidia
Fall overnight comes after it shrinks by $279bn on Tuesday in biggest one-day
drop in value by US company
* Business live – latest news
Shares in the AI chip designer Nvidia have continued to slide overnight after a
report said US authorities were ramping up an investigation into whether the
company had breached competition laws.
The company’s shares fell 2.4% in after-hours trading, exacerbating a near-10%
drop in the regular trading session that slashed its value by $279bn (£212bn) to
$2.6tn, marking the largest one-day drop in history for a US company.
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Doubling of quarterly revenues fails to allay concerns about production delays
to its next-generation of AI chips
* Business live – latest updates
Shares in the chip designer Nvidia have fallen after investors were spooked by
signs of slowing growth and production issues, despite the artificial
intelligence company posting a doubling of quarterly sales.
The Silicon Valley company posted a 122% rise in second-quarter revenues to
$30bn (£23bn) compared with the same period last year. While that beat average
analyst estimates of $28.7bn, investors were spooked by signs of a slowdown in
growth, particularly around its next-generation AI chips, code-named Blackwell.
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Chipmaker, third most valuable company in world, records $30.04bn in revenue,
showing AI demand continues to rise
Chipmaker Nvidia reported its latest financial results on Wednesday, recording
$30.04bn in revenue over the past three months – a 122% jump from the year prior
– and showing that artificial intelligence investment mania shows no signs of
cooling.
Analysts had anticipated about $28.7bn in revenue. Shares slid more than 3% in
after-hours trading.
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Curtis Priem has a vision for a quantum computing future and believes the area
along the Hudson valley is fertile for the next tech boom
The “quantum chandelier” that sits within a glass box in the chapel at
Rensselaer Polytechnic Institute’s campus in Troy, New York, is the symbolic
centerpiece of an ambitious effort to turn upstate New York into an advanced
technology center – what Silicon Valley is to social media or Cambridge,
Massachusetts, is to biotech.
The silver sci-fi object, named for interior gold lattices that suspend, cool
and isolate its processor, is the heart of a “quantum computing system” that
could herald a new age of computing. It’s the centerpiece of the dream Curtis
Priem, a co-founder of Nvidia, the $2.8tn artificial intelligence hardware and
software company, has of turning Rensselaer, or RPI, into an advanced computing
hub and refashioning this area of upstate New York into a new Silicon Valley.
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My close read of the world’s most powerful posting addict turned up surprising
results. Plus, a viral press release about AI, and Nvidia is accused of ‘unjust
enrichment’
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“I hope I don’t have to cover Elon Musk again for a while,” I thought last week
after I sent TechScape to readers. Then I got a message from the news editor.
“Can you keep an eye on Elon Musk’s Twitter feed this week?”
I ended up doing a close-reading of the world’s most powerful posting addict,
and my brain turned to liquid and trickled out of my ears:
His shortest overnight break, on Saturday night, saw him logging off after
retweeting a meme comparing London’s Metropolitan police force to the Nazi SS,
before bounding back online four and a half hours later to retweet a crypto
influencer complaining about jail terms for Britons attending protests.
AI poses no existential threat to humanity – new study finds.
LLMs have a superficial ability to follow instructions and excel at proficiency
in language, however, they have no potential to master new skills without
explicit instruction. This means they remain inherently controllable,
predictable and safe.
Large language models, comprising billions of parameters and pre-trained on
extensive web-scale corpora, have been claimed to acquire certain capabilities
without having been specifically trained on them … We present a novel theory
that explains emergent abilities, taking into account their potential
confounding factors, and rigorously substantiate this theory through over 1,000
experiments. Our findings suggest that purported emergent abilities are not
truly emergent, but result from a combination of in-context learning, model
memory, and linguistic knowledge.
Our work is a foundational step in explaining language model performance,
providing a template for their efficient use and clarifying the paradox of their
ability to excel in some instances while faltering in others. Thus, we
demonstrate that their capabilities should not be overestimated.
A federal lawsuit alleges that Nvidia, which focuses on designing chips for AI,
took YouTube creator David Millette’s videos for its AI-training work. The suit
charges Nvidia with “unjust enrichment and unfair competition” and seeks class
action status to include other YouTube content creators with similar claims.
Nvidia unlawfully ‘scraped’ YouTube videos to train its Cosmos AI software,
according to the suit, filed Wednesday in the Northern District of California.
Nvidia used software on commercial servers to evade YouTube’s detection to
download ‘approximately 80 years’ worth of video content per day’, the lawsuit
says, citing an Aug 5 404 media report.
[Judge] Orrick found the artists had reasonably argued that the companies
violate their rights by illegally storing work and that Stable Diffusion, the AI
image generator in question, may have been built ‘to a significant extent on
copyrighted works’ and was ‘created to facilitate that infringement by design’.
Many site owners say they can’t afford to block Google’s AI from summarising
their content.
That’s because the Google tool that sifts through web content to come up with
its AI answers is the same one that keeps track of web pages for search results,
according to publishers. Blocking Alphabet Inc’s Google the way sites have
blocked some of its AI competitors would also hamper a site’s ability to be
discovered online.
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Their shares have fallen 11.8% from last month’s peak but more AI breakthroughs
may reassure investors
It has been tough week for the magnificent seven, the group of technology stocks
that has played a dominant role in the US stock market, buoyed by investor
excitement about breakthroughs in artificial intelligence.
Last year Microsoft, Amazon, Apple, the chipmaker Nvidia, Google’s parent,
Alphabet, Facebook’s owner, Meta, and Elon Musk’s Tesla accounted for half the
gains in the S&P 500 share index. But doubts about the return on AI investment,
along with a mixed set of quarterly results, investors shifting their focus to
other sectors and weak US economic data have hit the group over the past month.
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Even as shares fall about 9%, chief financial officer says firm is seeing ‘more
investment’ in AI than ‘even 90 days ago’
Chip designer Arm Holdings on Wednesday reported a stronger-than-expected 39%
surge in quarterly revenue, and forecast fiscal second-quarter sales broadly in
line with Wall Street estimates, yet its shares fell about 9% in extended
trading.
For the current fiscal second quarter, Arm forecast revenue in a range between
$780m and $830m, compared with an average analyst estimate of $804.1m, according
to LSEG data.
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Powerful new chips are on the way but there are questions over whether tech
firm’s growth can be sustained
When Jensen Huang spoke at the Nvidia annual general meeting last week, he made
no mention of a share price slide.
The US chipmaker, buoyed up by its key role in the artificial intelligence boom,
had briefly become the world’s most valuable company on 18 June but the crown
slipped quickly. Nvidia shed about $550bn (£434bn) from the $3.4tn (£2.68tn)
peak market value it had reached that week, as tech investors, combining
profit-taking with doubts about the sustainability of its rocketing growth,
applied the brakes.
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