Humpback Whale Social Groups Embrace Soap Bubble Feeding Trick

Humpback Whales Collaborate to Catch Fish Using Bubbles

Jen Dickey/North Coast Cetacean Society

Innovative foraging behaviors are rapidly spreading among humpback whales in the fjords of western Canada, showcasing how cultural knowledge contributes to the survival of marine populations.

Bubble net feeding is a coordinated hunting method where humpback whales expel bubbles to encircle fish, then all rise simultaneously to feed.

According to Ellen Garland from the University of St. Andrews, “This is a collaborative activity characterized by a high degree of coordination and division of labor.”

This remarkable behavior has been observed for decades among humpback whales (Megaptera novaengliae) in Alaskan waters, with recent observations detailing their activities in the northeastern Pacific off Canada’s coast.

However, determining whether such complex behaviors stem from social learning or independent discovery among individuals remains a challenge for researchers.

In a comprehensive study, Edyn O’Mahony and a team from the University of St. Andrews analyzed field observation data from 2004 to 2023, focusing on 526 individuals in British Columbia’s Kitimat Fjord System, part of Gitga’at First Nation Territory.

Using distinct images of each whale’s tail fin, researchers identified 254 individuals engaging in bubble net feeding, with approximately 90% of these activities occurring in a cooperative setting.

This behavior surged post-2014, aligned with a significant marine heatwave in the Northeast Pacific that diminished prey availability.

“As heatwaves decrease prey availability, the whales’ adaptability in their feeding techniques is crucial for maintaining their caloric intake,” stated O’Mahony.

Whales are more likely to adopt bubble net feeding when they interact with individuals already using this technique. While bubble net feeding likely spread to the region from migrating whales, the current prevalence indicates stable groups or influential individuals spreading this knowledge through local social networks.

“After several years post-heatwave, we observe that whales previously not participating in bubble net feeding are now present in this area,” O’Mahony added.

The ability of humpback whales to share knowledge within social groups could be vital for their survival, implying that our understanding of their culture is essential for conservation efforts.

According to Ted Cheeseman, co-founder of the citizen science platform Happywhale, who did not participate in the study, “The key question is not just about the number of whales remaining but also whether the social behaviors crucial for population cohesion are restored.”

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Source: www.newscientist.com

Concerns Over AI Bubble Resurface as Wall Street Pulls Back from Brief Rally | Stock Market

Concerns about a potential bubble in the artificial intelligence sector emerged again on Thursday as major U.S. stock markets declined, just a day after chipmaker Nvidia’s impressive results had sparked a market rally.

Initially, Wall Street experienced a boost following Nvidia’s reassurance of robust demand for its advanced data center chips. However, this optimism faded as the tech stocks central to the AI boom began to face downward pressure.

In New York, the S&P 500 index ended the day down 1.6%, while the Dow Jones Industrial Average fell by 0.8%. The tech-focused Nasdaq Composite Index dropped by 2.2%.

Earlier in the session, the FTSE 100 rose by 0.2% in London, and the DAX closed 0.5% higher in Frankfurt. The Nikkei Stock Average increased by 2.65% in Tokyo.

Currently valued at approximately $4.4 trillion, Nvidia has seen an extraordinary surge in valuations among AI-related companies in recent months. The escalating concerns about a bubble have arisen as businesses invest heavily in chips and data centers to secure their position in the AI market.

Nvidia continues to experience strong demand, with highly anticipated earnings surpassing expectations on Wednesday. Yet, worries persist that companies utilizing these chips and investing in AI are making substantial expenditures to stimulate demand.

“The sale of semiconductors to support AI doesn’t mitigate fears that some hyperscalers might be overspending on AI infrastructure,” remarked Robert Pavlik, senior portfolio manager at Dakota Wealth. “While certain companies are turning a profit, many are still investing heavily.”

Mixed employment data released Thursday morning highlighted robust labor market growth in September, albeit with a slight uptick in the unemployment rate, reinforcing the expectation that Federal Reserve policymakers may choose to maintain interest rates at their upcoming December meeting.

Nvidia’s stock saw a decline of 3.2%, while the VIX index, which gauges market volatility, increased by 8%.

Report contributed by Reuters

Source: www.theguardian.com

Nvidia CEO Addresses Wall Street’s AI Bubble Concerns During Market Downturn: ‘We Excel at Every Step of AI’

Global stock markets experienced an upward trend following Nvidia’s impressive third-quarter profits, which surpassed Wall Street forecasts, easing concerns that the AI company’s skyrocketing valuations might have reached their limit.

On Wednesday, all attention turned to Nvidia, the frontrunner in the AI industry and the highest valued publicly traded company globally. Analysts and investors were eager for the chip maker’s third-quarter results, hoping they would dispel worries about an impending bubble in the sector.

Nvidia’s founder and CEO, Jensen Huang, addressed these apprehensions right at the start of the earnings call, emphasizing that a significant transformation is underway in AI, and Nvidia stands at the core of this change.

“Many discuss the AI bubble,” Huang noted. “From our viewpoint, the situation looks quite different. To clarify, Nvidia differs from other accelerators. We shine at every phase of AI, from pre-training through to inference.”

The company consistently exceeded Wall Street’s expectations across multiple metrics, indicating that the substantial AI economic boom is not decelerating. Nvidia announced diluted earnings per share of $1.30 on total revenues of $57.01 billion, which topped investor expectations of $1.26 per share on revenues of $54.9 billion. Sales surged by 62% year over year, with data center revenues reaching $51.2 billion—surpassing the anticipated $49 billion. The company also forecasts fourth-quarter sales to be around $65 billion, exceeding analyst expectations of $61 billion.

During a conference call with investors, Huang outlined three pivotal shifts in platforms: the move from general-purpose computing to accelerated computing, the transition toward generative AI, and the development of agential and physical AI, such as robotics and autonomous vehicles.

“When contemplating infrastructure investments, consider three fundamental dynamics,” Huang stated. “Each one adds to the wealth of infrastructure. Nvidia… facilitates all three transitions, and we do so across all types and modalities of AI.”

He further noted that demand for Nvidia’s chips continues to expand.

“AI permeates everywhere and operates on multiple fronts simultaneously.”

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According to Thomas Monteiro, Senior Analyst at Investing.com, “This clarifies many uncertainties surrounding the AI revolution; the essence is clear: The AI revolution is far from nearing its peak. Despite investor concerns that rising capital expenditures may compel firms to decelerate their adoption cycles for AI, Nvidia continues to demonstrate that data center growth is not merely an alternative but an essential requirement for every tech company globally.”

Analysts and experts expressed confidence that Nvidia would exceed Wall Street’s forecasts but were keenly awaiting further insights regarding industry demand for the company’s AI chips.

“There’s no denying Nvidia maintains its position as the dominant player in AI-centric chips,” noted David Meyer, a senior analyst at the investment platform Motley Fool. “We anticipate that revenue, margins, and cash flow will align closely with analysts’ predictions. However, invaluable insights are more likely to stem from management’s commentary on their market outlook, whether concerning the AI sector or new markets they are exploring.”

In November, Nvidia’s shares experienced a 7.9% decline amid significant investors offloading their holdings. Peter Thiel’s hedge fund teal macro divested its entire stake in the chipmaker in the last quarter, with estimates of around $100 million in assets, according to Reuters. SoftBank also offloaded $5.8 billion worth of its shares, heightening concerns regarding an AI bubble.

Following the news, Nvidia’s shares, having recently achieved the milestone of being the world’s first $5 trillion company, increased by over 5% in after-hours trading, with S&P 500 and Nasdaq futures also climbing. Asian markets rose on Thursday as well.

However, Stephen Innes of SPI Asset Management cautioned: “NVIDIA’s latest forecast has thus far alleviated some of the most intense apprehensions regarding an AI bubble looming over global markets… Nevertheless, this situation still leaves markets precariously balanced between exuberance over AI and the sobering reality marked by debt.”

“We do not believe Nvidia’s growth can be sustained in the long run,” asserted Alvin Nguyen, senior analyst at Forrester. “Although the demand for AI is unmatched, we anticipate Nvidia’s stock growth may slow if market corrections occur, balancing supply with demand, innovation progresses at a slower pace, or companies become acclimated to the current rate.”

Source: www.theguardian.com

Cryptocurrency Market Plummets Over $1 Trillion in 6 Weeks Amid Tech Bubble Concerns

Over $1 trillion (£760 billion) has been erased from the crypto market’s valuation in the last six weeks as concerns about a tech bubble grow and hopes for a US interest rate reduction next month diminish.

According to data company CoinGecko, the value of the cryptocurrency market, which tracks over 18,500 coins, has dropped by a quarter since peaking in early October.

Bitcoin has experienced a 27% decline during this time, reaching $91,212, marking its lowest point since April.

Rising worries about an artificial intelligence bubble in the stock market are causing unease among global investors, with even the CEO of Google’s parent company cautioning that “no company will be immune” if the bubble bursts.

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The FTSE 100 index in Britain fell by 1.3% on Tuesday, marking its fourth consecutive decline and its most severe day since April. The Stoxx Europe 600, which monitors the continent’s largest companies, declined by 1.8%. Wall Street also faced losses, with the Dow Jones, Nasdaq, and S&P 500 all down approximately 1% on Tuesday.

This was followed by a significant drop in Asia, with Japan’s Nikkei Stock Average falling by 3.2% and Hong Kong’s Hang Seng Index decreasing by 1.7%.

Sundar Pichai, the CEO of Google’s parent firm Alphabet, remarked in an interview with the BBC that there is a sense of “irrationality” surrounding the current AI boom. He cautioned that if the AI bubble were to burst, “no company, including us, will be exempt.”

Meanwhile, JPMorgan Chase Vice Chairman Daniel Pinto stated that the skyrocketing valuations of AI necessitate a reassessment. “There will likely be a correction,” he mentioned at the Bloomberg Africa Business Summit in Johannesburg on Tuesday. “This adjustment will also impact the rest of the sector, the S&P, and the industry.”

Klarna CEO Sebastian Siemiatkowski expressed concerns this week about the vast sums of money being invested in computing infrastructure.

He told the Financial Times: “[OpenAI] has the potential to be highly successful as a company, but I’m apprehensive about the extent of these data center investments, which is my primary concern.”

The Klarna co-founder highlighted the increasing valuations of AI companies, including Nvidia, as a troubling issue. Nvidia became the first firm to achieve a market valuation of $4 trillion this year, followed by Apple and Microsoft.

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“That concerns me, considering the amount of wealth currently being blindly allocated to this trend without deeper thought,” Siemiatkowski remarked.

“You might say, ‘I don’t believe NVIDIA is worth this much, but it doesn’t matter. Some wealthy individuals will lose money.’ However, the reality is that due to index funds and their mechanisms, one might assume their pension is a sound investment.”

AI bubbles are viewed as one of the most significant risks to the stock market, with research from Bank of America indicating that 45% of fund managers surveyed consider AI bubbles to be the paramount risk. tail risk.

Gold, typically regarded as a safe-haven asset, has also seen a decline. Spot prices dropped by 0.3% on Tuesday morning to $4,033.29 an ounce, following a one-week low.

This drop occurs as expectations around a US Federal Reserve (Fed) interest rate reduction next month wane. Higher interest rates make gold less appealing due to its non-increasing yield.

Nonetheless, Giovanni Staunovo, an analyst at Swiss investment bank UBS, mentioned that while gold prices may fall further, he anticipates a rebound soon.

“With the Fed projected to lower interest rates multiple times in the coming quarters and the strong trend of central banks diversifying into gold, we predict that gold prices will stabilize soon,” he stated.

Source: www.theguardian.com

Global Stock Markets Dive Amid AI Bubble Fears

Global stock markets have seen a sharp decline as fears grow that the surge in valuations for artificial intelligence (AI) companies is losing steam.

U.S., Asian, and European markets all dropped following warnings from bank executives about a possible significant market correction, spurred by record highs that made several firms seem overvalued.

On Tuesday, the tech-centric Nasdaq and S&P 500 experienced their largest single-day drops in almost a month.

Tech stocks heavily influenced the Nasdaq’s decline, which closed down by 2%. The AI stocks of the “grand seven” companies—including Nvidia, Amazon, Apple, Microsoft, Tesla, Alphabet (the parent company of Google), and Meta (the owner of Facebook, Instagram, and WhatsApp)—all recorded losses.

The S&P 500 faced setbacks primarily from tech stocks, notably Palantir, which saw an almost 8% decrease despite raising its earnings expectations just a day prior, ultimately finishing the session down by more than 1%.

Palantir has also found itself in the crosshairs of prominent short sellers who wager on a decline in its stock value.

Michael Burry, the investor renowned for predicting the 2008 financial crisis and inspiring the film The Big Short, has taken positions on two major AI firms, Palantir and Nvidia, drawing backlash from Palantir’s management and contributing to a drop in its stock price.

In a CNBC interview, Alex Karp, the CEO of Palantir, criticized Burry and other short sellers for attempting to “cast doubt on the AI revolution.”

Asian markets mirrored the decline experienced in the United States, suffering their largest drop in seven months amid concerns regarding tech stock performance, with Japanese and South Korean indexes falling over 5% from record highs reached just a day before. European markets in the U.K., France, and Germany also saw slight declines on Wednesday morning.

The market downturn follows cautionary statements from the CEOs of Morgan Stanley and Goldman Sachs about a potential correction.

Their warnings echo concerns raised by Jamie Dimon, CEO of JPMorgan Chase, the largest U.S. bank, who predicted in October that the market might crash within the next six months to two years.

“The chorus is getting louder,” stated Jim Reid, an analyst at Deutsche Bank. “We’re having discussions about whether we are on the verge of a stock price correction.”

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“The last 24 hours have revealed a clear risk-off trend, as apprehensions regarding high valuations of tech companies have negatively impacted investor confidence,” Reid remarked.

Other analysts have raised doubts about investing in AI companies, noting that while substantial funding has been directed to a handful of tech firms, like OpenAI and Nvidia, the returns on investment thus far remain minimal.

Bitcoin prices briefly dipped below $100,000 (£76,764) for the first time since June, as investors divested from high-risk assets like cryptocurrencies due to economic uncertainty.

While Bitcoin hit a peak of over $126,000 in early October, it fell 3.7% throughout the month, marking its worst monthly performance in a decade, according to CoinMarketCap statistics.

Source: www.theguardian.com

When the AI Bubble Bursts: Are We Better Off Than Constant Growth?

The success or failure of artificial intelligence plays a crucial role in the global economy, leading to a sense of impending doom regardless of the outcome.


Job growth has stagnated; wage increases are slowing, particularly in low-wage sectors. Instances of loan defaults are on the rise, accompanied by an increase in bankruptcies. Consumer confidence has plummeted, while imprudent policy actions are taking their toll. President Donald Trump’s trade war has restricted farmers from accessing Chinese markets and cut off manufacturers’ access to rare earth magnets from China. His immigration policies are also adversely affecting labor availability, spanning sectors from agriculture to healthcare. A lengthy government shutdown is on the horizon, with implications for economic growth.

Yet, none of this seems to compare to the AI boom. Amid a plethora of dismal statistics, the reckless investments by a handful of tech companies chasing the elusive dream of superhuman AI are single-handedly fueling economic growth. This surge is propping up business investment and enabling sustained gains in the stock market, propelling consumer spending and enhancing the sentiment of the 60% of Americans who own stocks.


How long can this last? Predicting economic turning points or stock market volatility may be futile, but the fragile state of the American economy suggests we may be heading toward uncertain times. Are we simply satisfied, or how will the AI narrative unfold moving forward?

What if the stock market rise fueled by AI is merely a bubble? Investors are clearly feeling apprehensive. Just last week, the VIX index, known as the financial market’s “fear gauge” that tracks expectations for future stock price movements, reached its highest point since “Emancipation Day” in April, a time when President Trump imposed drastic tariffs that disrupted the markets.

This casts a shadow over the entire AI initiative, as immediate and tangible fears arise. What happens when investors realize that the astounding productivity advancements touted by Silicon Valley could justify the expenditure of billions into increasingly sophisticated AI systems? Trillions in equity could vanish almost overnight.

Gita Gopinath, former chief economist at the IMF, estimates that if the market were to crash, akin to the dot-com bust at the start of this century, $20 trillion in wealth owned by American households and $15 trillion possessed by global investors would be lost.

On the flip side, what if the promise remains intact? Advances in AI in the upcoming months may authenticate Silicon Valley’s productivity visions, with signs of its advantages beginning to manifest in corporate profits. Investors are becoming more comfortable with the elevated valuations of companies like Nvidia, Alphabet, and the rest of the so-called “Magnificent Seven.” Their combined market capitalization now represents approximately a third of the entire S&P 500 index. What kind of world will that create? What implications does a massive leap in productivity hold for humanity?

Stock charts of tech giants that outperform the S&P 500

In economic terminology, heightened productivity is inherently advantageous. It serves as a catalyst for improved living standards. Technological innovation enables the faster and cheaper production of new products and services, thus enhancing productivity. However, it could create inequalities. Consider agricultural laborers, who constituted 40% of jobs in the early 20th century, or administrative roles that became obsolete with the advent of PCs, or horses that lost their economic significance due to the internal combustion engine.

However, generally, workers benefit from higher wages as they adapt to new technologies. Increased wages stimulate demand for new products and create job opportunities. Since the Luddites began dismantling textile machinery in the 19th century, the market price for labor, and consequently wages, has risen tenfold, despite ongoing employment growth.

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Some may contend that AI is no different from tractors or power looms. However, the ambition behind AI is far grander. Certain human tasks are irreplaceable. It aims to emulate human capabilities entirely; in fact, AI pioneers aspire to forge agents that outperform humans in nearly every task. This technology is not merely designed to impose new duties on employees, but is intended to execute all functions at a superior level than human laborers.

This presents a problem traditionally addressed by the labor market: how do individuals earn a living? Redistribution might be a possible solution. Nevertheless, Erik Brynjolfsson of Stanford University asserts that such an arrangement could centralize wealth and authority significantly. He indicates that many will become increasingly reliant on those who control technology, leading society into an equilibrium where the powerless lack means to enhance their circumstances.

Perhaps we should wish for the AI revolution currently unfolding to implode like a bubble. If it bursts, resulting in a global recession, we all face hardship. But after such a collapse, humanity might be positioned to construct something more promising and less perilous from the remnants.

Brynjolfsson points out that the benefits derived from automation are dwarfed by those gained from pioneering new innovations. He proposes that instead of displacing human labor, AI should pursue the development of agents that augment human ability, allowing for the execution of tasks currently beyond human reach. AI is already aiding in the design of new proteins. On a more practical level, it can provide nurses with the technical expertise needed to undertake roles previously exclusive to physicians.

Investment bubbles ultimately leave behind valuable knowledge and infrastructure. The current information ecosystem arose from the debris of the dot-com crash. A century and a half earlier, investors lost significant amounts in the aftermath of a massive investment in British railroads. The British economy sank into a severe recession, yet the bubble left behind miles of crucial railway lines.

Perhaps the impending AI collapse could pave the way to shift technology away from Silicon Valley’s pursuit of creating overtly intelligent, software-driven agents that could replace humans and unleash chaos. Our synthetic version of humanity could expand beyond earthly bounds. Instead, a focus on fostering advancements that genuinely enhance human existence might be achieved.

Source: www.theguardian.com

The AI Bubble is Popping, but AI’s Future Remains Bright

Growing concerns of an AI bubble

CFOTO/Sipa USA/Alamy

Substantial investments in AI are suggesting a global financial bubble that may soon burst, exposing companies and investors to the risk of unmanageable debts unable to be serviced by the scant revenues from current AI applications. But what implications does this have for the future of the technology fueling this financial madness?

Recent warnings have emerged globally about the danger of an AI bubble. The Bank of England, the CEO of JP Morgan Chase, and even OpenAI’s Sam Altman have all cautioned against the current trends. “This isn’t merely a stock market bubble; it encompasses investment and public policy bubbles,” asserts David Edgerton from King’s College London.

The interconnected nature of deals among leading AI firms has raised concerns. Take Nvidia, for instance, which manufactures the GPU chips propelling the AI surge; it recently poured up to $100 billion into OpenAI, while maintaining its own data centers filled with Nvidia chips. Ironically, OpenAI also holds a stake in Nvidia’s competitor, AMD.

According to Morgan Stanley Wealth Management, an estimated $400 billion is spent yearly on data centers, leading to increasing worries about the impending burst of the AI bubble. In the second quarter of this year, the US GDP saw a 3.8% increase, but as Harvard’s Jason Furman points out, excluding data center investment, the actual growth was merely 0.1% in the first half of the year.

Carl Benedikt Frey, a professor at Oxford University, notes that such frenetic deal-making isn’t uncommon in the technology sector’s history. “Overbuilding tends to happen; it unfolded during the railroad boom and again during the dot-com bubble,” he explains.

The concern is whether the fallout from the AI bubble will impact only the companies involved or whether it could ripple through the economy. Frey indicates that many data centers being constructed “off-balance sheet” entail creating new companies to bear the associated risks and potential rewards, usually supported by external investors or banks.

This opacity leaves many unsure about who might be negatively affected. The funding for data centers could be rooted in investments from influential tech billionaires or major banks, and substantial losses might trigger a banking crisis, adding turbulence to the economy. “While a financial crisis isn’t immediately on the horizon, the uncertainties breed potential risks,” Frey comments.

Benjamin Arold, a professor at Cambridge University, states that the crucial factor is the profit-to-company valuation ratio, revealing the disconnect between public perception and the actual financial performance of companies. Such metrics are, he warns, red flags for contemporary tech firms.

“We haven’t seen price levels like this in 25 years; it’s reminiscent of the dot-com bubble,” Arold warns. “It may work out in the end, but investing in it feels risky.”

James Poskett from the University of Warwick argues that the AI sector may face a downturn that could lead to many companies going out of business. However, he believes this doesn’t spell the end for the technology itself. “It’s essential not to conflate that with the notion that the technology itself is flawed or redundant,” Poskett emphasizes. “AI could falter, yet it won’t vanish.”

Poskett suggests we may end up with valuable technology, much like how the collapse of various railroad companies in the past left the legacy of a robust rail system, or how the dot-com bust concluded with an extensive fiber-optic infrastructure.

For consumers, the fallout from the AI bubble could translate to fewer choices, potentially higher costs, and a slower rate of technological advancements. Utilizing an expensive tool like GPT-5 for tasks such as email creation resembles using a sledgehammer to crack a nut and may reveal the concealed costs associated with its use, obscured by the present AI race. “There’s currently a lot of ‘free lunch,’ but eventually, these companies will need to start turning a profit,” Poskett notes.

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Source: www.newscientist.com

Bank of England Cautions About Heightened Risks of AI Bubble Burst

The Bank of England has issued a warning regarding the growing risk of “sudden corrections” in global markets, raising alarms about the inflated valuations of significant AI technology firms.

Policymakers expressed that a loss of credibility by the Federal Reserve among global investors could result in a potential “sharp re-risk of US dollar assets,” especially as Donald Trump is continuously criticizing the US Central Bank and undermining its independence.

The persistent excitement and positivity surrounding AI technology have driven valuations higher in recent months, with companies like OpenAI valued at $500 million (£37.2 billion), a stark contrast to $157 billion last October. Another entity, Humanity, has nearly tripled in value from $600 billion in March to $170 billion last month.

Nevertheless, the Bank of England’s Monetary Policy Committee (FPC) warned on Wednesday that: “The risk of sudden market corrections is on the rise.”

“Many indicators suggest that stock market valuations, particularly for tech firms focused on artificial intelligence, are escalating. This makes the stock market highly vulnerable should expectations regarding AI’s impact become overly pessimistic.”

Investors admitted that they have not fully considered these potential risks, cautioning that if any materialize, “a sudden correction could happen,” leading to financial strain for families and businesses alike. The FPC emphasized: “As an open economy with a pivotal financial center, the risk of a global shock affecting the UK financial system is significant.”

Confidence in the AI boom has been shaken recently by research from the Massachusetts Institute of Technology, which revealed that 95% of organizations have gained no returns on their investments in generative AI.

This has sparked worries that stock market valuations may decline if investors become disillusioned with AI technology’s advancement or adoption. The FPC noted this could lead to a reassessment of current expected future revenues.

“The substantial bottlenecks to AI advancement, arising from issues related to power, data, or commodity supply chains, as well as conceptual breakthroughs that alter the necessary AI infrastructure for developing and utilizing powerful AI models, can negatively affect valuations, especially for companies reliant on high levels of AI infrastructure investment where expected revenues are projected.”

The committee further remarked that ongoing threats from the Trump administration towards the US Federal Reserve jeopardize financial stability.

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“In the US, there is ongoing discussion regarding the Federal Reserve’s independence. A sudden or significant shift in the perception of the Federal Reserve’s reliability could result in a rapid re-risking of US dollar assets, including the US sovereign debt market, leading to increased volatility, risk premiums, and global uncertainty.”

They noted that this concern would compound the effects of Trump’s trade war, which the FPC asserted has “not yet fully materialized.”

Source: www.theguardian.com

Top UK Tech Investors Warn of “Evacuation” Signals Indicating an AI Stock Bubble

A prominent technology investor in the UK has labeled companies in the artificial intelligence sector as “confusing,” raising alarms about a potential AI stock market bubble.

James Anderson, known for his early investments in Tesla, Amazon, and China’s Tencent and Alibaba, which yielded significant returns for Bailey Gifford’s flagship fund, now serves at Ringott, an Italian investment firm. He noted that he had not observed any signs of an investment bubble until recently, particularly following large valuations announced by OpenAI, the creator of ChatGPT, and its competitor, Humanity.

“In the last few months, what surprised me was the lack of bubble indicators [in AI],” he told the Financial Times.

OpenAI is reportedly in talks for a stock sale that would value the company at $500 billion (£370 billion), a significant increase from its previous valuations of $300 million in April and $157 billion last October. Meanwhile, Humanity has recently seen its valuation nearly triple, reaching $170 billion last month, up from $60 billion in March.

“These rapid valuation increases should raise some questions. Something like Humanity was generating concerns among those looking to invest in OpenAI,” he remarked.

Anderson also expressed unease about Nvidia’s investment of up to $100 billion in OpenAI. Nvidia, a major player in AI infrastructure and the manufacturer of computer chips essential for training AI models, has seen its market valuation soar to $4.5 trillion. According to the agreement, OpenAI pays Nvidia in cash for services, while Nvidia invests in OpenAI with equity.

There has been ongoing commentary on this transaction that likens it to vendor financing, where companies offer financial support to purchasers of their products.

Anderson described himself as a “huge admirer” of Nvidia but indicated that the OpenAI agreement “has caused more concerns than before.”

Citing similar practices during the Dotcom bubble when telecom equipment manufacturers lent money to clients, he noted:

“There weren’t many telecom suppliers from 1999 to 2000, but there’s a familiar pattern. I don’t feel entirely at ease regarding this situation.”

Anderson is currently the managing partner of Lingott’s Innovation Strategy Fund, which is owned by the Agnelli family, known for their control over Ferrari and Juventus FC.

Nvidia and OpenAI were contacted for comments.

Many investors share concerns that stock market valuations may be on the verge of becoming bubbly due to the excitement surrounding AI.

Wolf von Rotberg, a stock strategist at J Safra Sarasin Sustainable Asset Management, cautioned on Tuesday that US stocks were becoming “increasingly absurd” after Donald Trump’s initiation of a trade war.

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“Much of the rebound has been fueled by the highly favorable narrative surrounding AI and the surge in investment. While there’s no clear indication of a bubble, it might mirror the exuberance of previous periods.”

“Current valuations are not far from the peaks of the Dot-Com era in the early 2000s. Likewise, the credit market has traded at historically low-risk spreads over the past 25 years,” Von Rotberg stated.

City Consultant Capital Economics remarked that the market rally needs to deliver more. “With the S&P 500 reaching record highs, it’s no surprise that discussions of a stock market bubble in the US are resurfacing.”

“That said, as enthusiasm for AI continues to escalate, we wouldn’t be shocked if this year’s indices surpass the current forecast of 6,750.”

According to Deutsche Bank Research Institute, searches for “AI Bubble” on Google Trends have declined significantly over the past month.

“One AI bubble has already burst, and that is the notion that there is a bubble,” it concluded.

Source: www.theguardian.com

Nvidia Achieves New Sales Milestones Amid Concerns Over AI Bubble and Trump’s Trade War

Chipmaker Nvidia achieved record sales in the second quarter, exceeding Wall Street’s predictions for artificial intelligence chips. Nonetheless, the company’s stock dropped by 2.3% after hours, as investors appeared unfazed by concerns surrounding the AI bubble and the effects of Donald Trump’s trade tensions.

Nvidia’s financial results mark the first assessment of investor sentiment since the recent mass selloff of AI stocks, which saw many tech shares decline amid skepticism regarding the valuation of AI-driven firms.

On Wednesday, NVIDIA announced adjusted earnings per share of $1.08 with total revenues reaching $467.4 billion. According to FactSet data, this surpassed Wall Street’s earnings per share expectations.

However, investor expectations were notably high. The market’s reaction may be influenced by slight misses in other segments of the company’s performance, particularly in data center revenues, where Nvidia recorded $41.1 billion, falling short of optimistic forecasts.

“We can’t overlook Nvidia this time, especially as they strive for record-breaking highs.” Investing.com. “To claim that stock prices are optimally priced would be a considerable understatement, as we actually needed another significant exceedance.”

The company further indicated that it had not factored the shipping of the H20 chip to China into its forecasts.

This aspect is central to concerns regarding the US-China trade conflict. Earlier in the year, Trump imposed a ban on AI chip sales to China, resulting in a $4.5 billion hit to Nvidia’s finances during the first quarter. In August, Nvidia consented to provide the US government a 15% reduction in H20 chip prices for exports to China in exchange for export licenses. China has voiced security concerns over chips and is amplifying its own domestic production efforts.

Colette Kress, Nvidia’s Chief Financial Officer, noted during a revenue call that some companies are interested in acquiring H20, with the first group of companies already receiving licenses to purchase chips. Kress mentioned that Nvidia could potentially ship between $2 billion and $5 billion worth of H20 chips to China, contingent on “geopolitical circumstances.”

Huang has consistently highlighted the importance of operating in the Chinese market. “We are in discussions with the administration about the necessity of addressing the Chinese market for American firms,” Huang stated. He added that, aside from the fact that H20 has been cleared for sale in China by unlicensed companies, there might be opportunities for the company to introduce a version of Blackwell in that market.


“China is the world’s second-largest computing market and hosts a substantial number of AI researchers. Approximately 50% of the world’s AI researchers are based in China,” Huang stated. “Most of the leading open-source models are developed there, making it crucial for American tech companies to engage with that market.”

“We eagerly anticipate future developments,” remarked Monteiro, an analyst from Investing.com. “The fact remains that without the essential sales boost from H20 in China, Nvidia cannot sustain the growth trajectory that driven that valuation.”

The company projects revenues of $54 billion for the third quarter, aligning with Wall Street’s expectations, and mentions that its board has authorized an additional $600 billion in share buybacks.

Founder and CEO Jensen Huang remarked that production of the company’s latest AI superchip, Blackwell, is “gaining momentum and demand is remarkable.”

“The race in AI has commenced, and Blackwell will serve as the essential platform,” Huang stated in a press release.

Despite the initial tepid market reaction to the company’s financials, some analysts remain optimistic about the ongoing AI revolution, especially as major tech firms like Meta, Microsoft, Amazon, and Alphabet heavily invest in AI infrastructure. “This is a critical analysis of Nvidia and the AI revolution,” noted Dan Ives, an analyst at Wedbush Securities.

“This represents a significant indicator for the broader tech world, suggesting that despite prevailing challenges from China, the AI revolution is positioning for the next phase of growth. One chip is pivotal to triggering this AI revolution, and that is Nvidia.”

Source: www.theguardian.com

Is the AI Bubble on the Verge of Bursting, Potentially Triggering a Stock Market Crash? | Philip Inman

An increasing anxiety surrounds the possibility of a stock market collapse. The rise from minor dips to significant drops casts shadows as the initial excitement surrounding artificial intelligence begins to wane.

In recent weeks, U.S. tech stocks have faced a downward trend, suggesting that a stream of disappointing figures could become commonplace before the end of the month.

We may be looking at a scenario reminiscent of 2000, where the burst of the dot-com bubble could lead to a grim situation.

Federal Reserve Chairman Jerome Powell is among those policymakers responsible for guarding against impending crises. At the annual Jackson Hole meeting with central bank governors in Wyoming, he sought to reassure worried minds.

He expressed that the Fed is concerned about increasing inflation and is prepared to assist the economy in overcoming the uncertainties brought on by Donald Trump’s actions and the global economic slowdown.

With STAGFLATION looming, there’s a genuine threat as the U.S. economy decelerates and inflation rises. Powell has indicated to stock markets that interest rates may decrease, relieving pressure on companies dependent on debt.

The stock market draws Powell’s attention even more than usual, given the extent of U.S. personal pensions invested in publicly traded companies. Specifically, tech stocks are heavily investing in AI, despite not yet achieving a single dollar in profit.

A recent study from the Massachusetts Institute of Technology uncovered that 95% of companies investing in generative AI have not yet realized financial returns.

This news follows remarks from Sam Altman, CEO of OpenAI, who cautioned that some company valuations appeared “unusual.”

“We are happy to announce Ipek Ozkardeskaya, a senior analyst at the currency trading firm Swissquote,” remarked Ipek Ozkardeskaya. Altman’s comments served as a wake-up call for investors, likely triggering a sharp decline in various high-flying stocks.

Earlier this week, stock values for data mining and surveillance companies with substantial government contracts dropped almost 10%. AI chip manufacturer Nvidia declined by more than 3%, while other AI-related stocks such as ARM, Oracle, and AMD also suffered losses.

Most pension funds are heavily invested in these tech firms, along with established names like Amazon, Microsoft, Alphabet (Google), and Meta (Facebook).

Should fund managers consider withdrawing? That’s likely not a prudent choice.

The magnitude of investments in AI by companies like Google and Meta is vast, and while the technology’s potential is subject to much speculation, white-collar workers are already seeing expected benefits in their daily tasks.

Daily reports and suggestions for utilizing AI in presentation preparation are commonplace (though they come with the unspoken caveat that job openings remain unaddressed).

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Microsoft Co-Pilot and numerous other “assistance” AI tools are available.

If this trend has already gained momentum across various economic sectors, a soft landing may await the tech industry, despite the elimination of some unstable, speculative enterprises.

In fact, a recession could facilitate large corporations in seizing opportunities from struggling competitors and leveraging new, affordable technological innovations.

The ratio of Palantir’s price to acquisition is over 500. Many investors are anxious even at a 50 ratio. Nvidia’s price to return ratio stands at 56.

As stock prices align with realistic revenue prospects, the Palantir/Nvidia ratio might decline; however, even in the harshest stock market turbulence, companies are unlikely to go bankrupt.

Trump remains a significant proponent, paving the way for AI to delve deeper into corporate operations. His advocacy for cryptocurrencies, along with his support for deregulated social media platforms, reflects his ideological leanings.

AI may pose potential dangers to humanity, given that politicians and regulators lag behind the notable figures and tech giants championing AI.

However, for investors, AI is not an entity that will simply vanish, crash, or evade downfall.

Source: www.theguardian.com

Gas bubble on another star found to be 75 times larger than the Sun

The movement of bubbling gas on the surface of R Doradus

ALMA (ESO/National Astronomical Observatory of Japan/NRAO)/W. Breming

A giant bubble of hot gas more than 75 times the size of our sun has been observed on the surface of a nearby star, and researchers say this could lead to improved computer simulations of the sun.

Wouter Flemings He and his colleagues from Chalmers University of Technology in Gothenburg, Sweden, were looking at R Doradus, a star 178 light-years away from Earth and 350 times the mass of the Sun, in hopes of better understanding how material is ejected from old stars.

Vlemmings says they booked time at the Atacama Large Millimeter/submillimeter Array (ALMA) observatory in Chile — which only gets one in seven applications — and there they collected a single snapshot observation.

The first two attempts were hampered by weather conditions on Earth, and only the third met the stringent quality standards set out in the researchers' Observatory Time application, but this led to the accumulation of multiple images that Vlemmings says were in fact all usable, allowing the team to plot movement over time.

Not only was this the first time such a bubble had been observed in detail outside the solar system, but the image was shaped like a kind of flip-book, allowing the researchers to measure not only its size but also its speed. “That was a bonus,” Flemings says. “We hadn't planned for it, and certainly didn't expect it to all work out that way. [this way].”

They also discovered that giant gas bubbles, more than 100 million kilometres wide, were rising to the surface and then sinking back into the star's interior at a faster rate than expected.

Nuclear fusion reactions inside the star create convection currents, which cause bubbles of hot gas to rise to the surface, then cool and sink back to the core. This process is thought to eject material that escapes the star's gravity and spreads out into space to form new stars and planets. At least in R Doradus, this process appears to be happening three to four times faster than expected, with bubbles forming and disappearing over the course of about a month.

Areas around R Doradas

ESO/Digital Sky Survey 2

Stellar convection has been modeled in computers before, but those models appear to be a bit flawed because the motion isn't nearly as fast as observed in the real world, Vlemings said.

“These bubbles are moving a little faster than expected, so it seems like we're missing something,” he says. “For a long time in our field, the models have basically been ahead of the observations, but we've never really had the observations to test whether those models are correct.”

Doradus R has not been the subject of much study because it's only visible from the Southern Hemisphere, and historically most of the large radio telescopes have been in the Northern Hemisphere. But that's changed with ALMA, Vlemmings says. Because ALMA produces such comprehensive data, he hopes to find even more remnants. Researchers hope to observe similar stars next year to see if the phenomenon can be found in other places.

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Source: www.newscientist.com

The AI Bubble is Headed Towards Bust, Not Boom | John Norton


“a

“Are we really in an AI bubble?” asked a reader of last month’s column about the apparently unstoppable rise of Nvidia. “And how do we know that?” That was a good question, so he asked the AI, which pointed out:
investmentpedia, written by someone who knows this stuff. Bubbles taught me that he goes through five stages.
Elisabeth Kubler-Ross said that people live with sadness.. For investment bubbles, the five stages are displacement, boom, euphoria, profit taking, and panic. So let’s see how this maps onto our previous experience with AI.

First, displacement. It’s easy. It was ChatGPT wotdunnit. When it appeared on November 30, 2022, the world just went crazy. Then everyone realized,
this That’s exactly what was being tweeted around AI! And people were fascinated by the discovery that they could talk to machines, and that machines could talk to them (well, write them) back in coherent sentences. it was done. It was like the moment people saw in the spring of 1993.
mosaicthe first proper web browser, and suddenly the pennies dropped.
this That was the purpose of the “Internet”. And Netscape held his initial public offering in August 1995, stock prices skyrocketed, and the first Internet bubble began to inflate.

Second stage: Boom. With the launch of ChatGPT, all the big tech companies have actually been playing with this AI technology for years, but were too scared to tell the world due to the inherent instability of the technology. It became clear that it couldn’t be done. But once the ChatGPT creator let his OpenAI let the cat out of the bag, fomo (fear of missing out) took over. And other companies have learned that Microsoft stole their advances by secretly investing in his OpenAI, and in doing so gained privileged access to his powerful GPT-4 large-scale multimodal model. This realization created a sense of alarm. Microsoft’s president, Satya Nadella, inadvertently revealed that his intention was to make Google “dance.” If that was indeed his plan, it worked.Google, which considered itself a leader in machine learning, released Bard chatbot
before you’re ready Then he retreated amidst the voices of ridicule.

But that excitement also stirs up the lower echelons of technology, and suddenly there’s a surge in startups being founded by entrepreneurs, entrepreneurs who see the big “foundation” model of tech companies as a platform on which new things can be built. I saw it.
Once you look at the web As such a basic foundation. These seedlings were funded in the old-fashioned way by venture capitalists, but some of them were funded by tech companies and companies like his Nvidia, which was producing hardware that could allegedly build the future of AI. received significant investment from both.

The third stage of the cycle, euphoria, is the stage we are in now. The winds of caution are shifting, and ostensibly rational companies are betting huge sums of money on AI. OpenAI boss Sam Altman began by saying,
Raise $7 trillion from Middle East oil states For the big push to create AGI (artificial general intelligence). He also partnered with Microsoft to
stargate supercomputer. All of this seems to be based on articles of faith. So to create a superintelligent machine, all you need is (a) infinitely more data and (b) infinitely more computing power. And the strange thing is that at the moment the world seems to be taking these fantasies at face value.

This begins the fourth stage of the cycle: profit taking. At this point, an astute operator notices that the process is becoming unstable and initiates an escape before the bubble bursts. No one is actually making money from AI yet, except the companies that build the hardware, so maybe the people who own stock in Nvidia, Apple, Amazon, Meta, Microsoft, Alphabet (née Google). Other than that, there are very few benefits to be gained. It turns out that this generative AI is great at spending money, but not great at generating investment returns.

Stage 5 – Panic – awaits. At some stage the bubble gets punctured and a rapid downward curve begins as people scramble to get out while they can. In the case of AI, it is unclear what triggers this process. Governments may eventually grow tired of out-of-control giant corporations draining investors’ money. Or will shareholders come to the same conclusion? Or finally realizing that AI technology is causing an environmental disaster. Data centers cannot be spread all over the earth.

But it will burst someday. Nothing grows exponentially forever. So, back to the first question. Are we in an AI bubble? Is the Pope a Catholic?

Source: www.theguardian.com