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AI Art Enters a New Era of Memory, Ecology and Onchain Culture

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Artificial intelligence is no longer simply a tool for generating images. It is becoming a subject through which artists are questioning memory, ecology, identity, ownership and humanity’s responsibility toward technology.

A series of exhibitions and cultural events involving artists including Ryan Koopmans, Alice Wexell, Auriea Harvey and Refik Anadol illustrates how rapidly AI and digital art are moving into the center of contemporary culture.

At the Victoria and Albert Museum, a free conversation with Lumen Prize artists examines how AI, memory and ecology are reshaping ideas of responsibility and care in technology. The discussion reflects a broader shift in digital art.

Rather than focusing exclusively on what machines can create, artists are increasingly asking what societies should preserve, what technology should remember and how technological systems affect the natural world.

That conversation is particularly relevant as AI-generated media becomes increasingly sophisticated. The abundance of synthetic images, videos and data raises questions about cultural memory and authorship.

Artists are therefore exploring AI not merely as software, but as a framework for examining how humans construct and preserve meaning. In New York, Ryan Koopmans and Alice Wexell extend this conversation through The Wild Within at Leila Heller Gallery.

The exhibition combines motion works, archival pigment prints and wall sculptures, creating an environment where digital imagery and physical objects interact.

Their work occupies a space between photography, technology and constructed landscapes, encouraging viewers to reconsider the relationship between natural environments and digitally mediated experiences.

The title itself suggests a tension that has become increasingly important in contemporary art: the distinction between the natural world and the technological systems increasingly used to represent it.

As AI becomes capable of producing convincing simulations of places, organisms and environments, the question of what is authentic becomes increasingly complicated. Auriea Harvey approaches digital culture from another direction with Ready To Die.

A solo exhibition at Heft featuring 48 works spanning marble, ceramic, bronze and generative video.  The exhibition also includes Amulets recorded on Ethereum, connecting traditional sculptural practices with blockchain-based forms of provenance and ownership.

Harvey’s work demonstrates that the digital does not necessarily replace the physical. Instead, blockchain, generative technology and traditional materials can exist within the same artistic language. An Ethereum-recorded artwork becomes more than a digital object.

It becomes part of an emerging history in which code, cryptographic ownership and physical craftsmanship overlap. Refik Anadol represents perhaps the most visible expression of this transformation. His inclusion in TIME100 Art 2026 as the “Artist of the AI age” follows the opening of Dataland in Los Angeles, museum dedicated to immersive data-driven art.

Anadol’s practice has helped move machine intelligence and massive datasets from technical environments into galleries and public cultural spaces.

These developments point toward a changing definition of contemporary art.

AI is becoming simultaneously a medium, an archive, a collaborator and a subject of criticism. Blockchain adds another layer by introducing programmable provenance and new models for distributing and collecting digital works.

The emerging movement is therefore larger than AI-generated imagery. It is about how technology changes the way humanity remembers, represents nature, owns culture and understands creativity. As museums, galleries and artists continue to engage with these questions.

The future of art may increasingly be defined not by the boundary between physical and digital worlds, but by the space where they converge.

Nvidia CEO Jensen Huang Says There’s Zero Chance AI Ends the World by 2030

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Nvidia CEO Jensen Huang has firmly rejected predictions that artificial intelligence could end the world by 2030, stating there is a 0% chance of that outcome.

In an exclusive interview with CBS News Huang said he questioned the motivations behind some of the more alarming AI predictions, suggesting political interests could drive them, attempts to attract attention, or other undisclosed reasons.

While acknowledging the growing concerns surrounding advanced AI, Huang maintained that the technology should not be portrayed as an inevitable path toward global catastrophe.

He said,

“I completely disagree that AI is going to destroy, is going to be the end of the world in 2030. I believe the claims of the end of the world, stirring fear across America, and doing it by the people who are doing it, make no sense to me. So they must be doing it for ulterior reasons.

“Maybe it’s political, maybe it’s otherwise, maybe it’s just attention-grabbing, maybe so that they could get a great interview with you. I don’t know what is the reason for it, but it’s characterized, 2030 is not going to be the end of the world.  There is 0% chance that’s going to be the end of the world.”

On the pace of AI development of the technology he added,

We should go as fast as we can irrespective of anybody else. We’re going to go as fast as we can, but we would never, and never should, ship products before they’re ready or deliver unsafe products. And nobody’s expecting us to do that. But everybody’s expecting us to succeed and help America be as prosperous as possible.”

Huang’s comments come amid intensifying debate over AI risks, including recent warnings from some industry researchers that advanced systems could pose existential threats within the decade.

Anthropic CEO Dario Amodei has called on AI companies to slow the pace at which they develop increasingly capable artificial intelligence models, warning that technological progress could outpace the industry’s ability to implement adequate safety measures.

In a recent essay, Amodei argued that AI companies should deliberately moderate the advancement of frontier models to create more time for researchers and regulators to address emerging risks. He proposed measures including independent evaluations of AI systems, greater coordination among leading AI developers and international cooperation on AI safety.

OpenAI CEO Sam Altman subsequently expressed support for Amodei’s call, agreeing that the industry should slow the pace of frontier AI development and strengthen safety measures. Other technology leaders, including Elon Musk and Google DeepMind CEO Demis Hassabis, have also backed greater caution around the development of increasingly autonomous AI systems.

The calls for a slowdown come as AI systems become increasingly capable of performing complex tasks with limited human intervention, intensifying debate over whether safety measures are keeping pace with technological progress.

However, Nvidia chief’s remarks align in substance with recent comments from President Donald Trump, who has described broader AI doomsday fears as a “hoax.”

Trump has rejected calls from leading artificial intelligence executives to slow the pace of AI development, arguing that the United States must maintain its lead over China. He said concerns about catastrophic AI risks are being overstated by negative forces.

Speaking to reporters at his Doonbeg golf resort in Ireland while attending the Irish Open, Trump said the U.S. remains the most advanced nation in AI and intends to keep it that way. “Whoever wins with AI wins. It’s an expression that I came up with, and it’s true”, he added.

During a phone call with Huang at the All-In Summit earlier this month, Trump stated that robots and AI would not take over the world.

Huang has indicated he shares the view that such catastrophic scenarios are unfounded. While dismissing extinction-level risks, Huang has also outlined a clear stance on the pace of AI development.

He argued against slowing progress across the industry, emphasizing that companies should advance as quickly as possible while maintaining strict safety standards.

“We should go as fast as we can irrespective of anybody else,” Huang said. “We’re going to go as fast as we can, but we would never, and never should, ship products before they’re ready or deliver products that are unsafe.” He added that the expectation is for the technology to succeed and contribute to prosperity.

Huang, whose company dominates the market for AI processors, has consistently maintained that artificial intelligence can be safely managed. He has repeatedly pushed back against calls for extensive new regulations, framing safety primarily as an engineering challenge rather than one requiring heavy external constraints.

For now, the leader of the world’s most important AI chip company has delivered an unambiguous message, that the end of the world is not coming in 2030 because of artificial intelligence.

Volkswagen Flags €10 Billion Costs As Porsche Crisis Deepens And China Pressure Intensifies

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Volkswagen has warned of up to €10 billion ($11.5 billion) in one-off costs, most of them linked to struggling sports car unit Porsche, deepening a crisis at the world’s second-largest automaker and underscoring the growing pressure on Europe’s industrial giants from a rapidly changing global market.

The profit warning comes just two weeks after Volkswagen agreed to a sweeping transformation deal with shareholders that includes another 50,000 job cuts, a simplification of the group’s structure and the possibility of closing plants. The latest charges add another layer of pressure to a restructuring already described as the biggest in the company’s history.

Porsche is at the center of the latest deterioration. The luxury sports car brand has been hit by US tariffs and weakening demand for foreign luxury vehicles in China, creating a difficult combination for a business whose profitability has already deteriorated sharply. Porsche posted a profit margin of just 1.1% last year.

Volkswagen said about €6 billion of the impairment charges were tied to new mid-term assumptions for Porsche, in which it owns a 75% stake. The revised assumptions reflect lower expectations for the business as it reduces its dealership network in China and confronts weaker demand in one of its most important markets.

The warning underlines the scale of Volkswagen’s exposure to the two markets that have historically been critical to its global business. The automaker has been squeezed simultaneously by US import tariffs and a prolonged deterioration in China, where it lost its position as the country’s top-selling automaker in 2024.

“We have no time to lose,” Volkswagen finance chief Arno Antlitz said in an internal memo seen by Reuters, pointing to a 20% contraction in China, increasing competition from Asian rivals in Europe and rising sales of less profitable electric vehicles.

“There is no sign of consolidation,” Antlitz said of the Chinese market. “We cannot escape this trend.”

The deterioration has already been reflected in Volkswagen’s financial expectations. The group now expects its operating profit margin to be no higher than 1% in 2026, a dramatic reduction from its previous guidance of between 4.0% and 5.5%. Analysts had been expecting a margin of about 4.1%.

Volkswagen shares closed 5.6% lower on Friday, while Porsche shares fell 3.3%. Porsche SE, Volkswagen’s largest shareholder, also reduced its outlook, sending its shares down 4.9%.

China and EV Transition Squeeze Volkswagen

The latest warning exposes a difficult structural problem for Volkswagen. The company is being forced to contend with a weaker Chinese market at the same time as the global auto industry undergoes a costly transition toward battery-electric vehicles.

Volkswagen’s scale has historically provided a significant advantage, with its portfolio spanning mass-market and premium brands including Volkswagen passenger cars, Audi, Skoda and Seat. But the same breadth also leaves the group exposed to weakening demand across multiple segments and to the heavy investment required to adapt its product range.

China represents the most immediate pressure point. Volkswagen’s warning that there is “no sign of consolidation” in the market suggests that the company does not expect the competitive environment to improve quickly. Domestic Chinese manufacturers have expanded aggressively, while the shift toward electric vehicles has altered the competitive dynamics that previously favored established global automakers.

The company’s warning also points to a second problem: even where Volkswagen succeeds in increasing electric-vehicle sales, those vehicles can be less profitable than the models they are replacing. That means a faster shift in consumer demand toward battery-electric cars can increase pressure on margins before the company has fully adjusted its cost base and product mix.

Volkswagen said the “further deterioration in the market environment, especially in China” and an accelerated shift in demand toward battery-electric vehicles would result in lower expectations for its Audi and Volkswagen passenger-car brands.

The Porsche impairment is therefore more than an isolated problem at a luxury subsidiary. It forms part of a broader reassessment of the group’s earnings potential as Volkswagen confronts simultaneous changes in consumer demand, technology, trade policy and international competition.

The combination is particularly damaging for Porsche because its premium positioning makes it highly exposed to China’s luxury market while its US business faces the additional burden of tariffs. For Volkswagen’s wider group, the problem is broader: the company must reduce costs, restructure operations and regain competitiveness at a time when two of its most important overseas markets are becoming harder to navigate.

AI Safety, Liability and the Nationalization Debate

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Palantir CEO Alex Karp has reignited one of the most contentious debates surrounding artificial intelligence: whether calls for stronger AI safety regulation are primarily about protecting society from powerful technologies or, as Karp argues, protecting AI companies from the legal consequences of what their systems may eventually do.

Karp’s criticism targets what he describes as the loudest voices in the AI safety movement, including companies such as Anthropic. His argument is provocative.

He suggests that some AI laboratories may ultimately favor a form of nationalization because governments, rather than private companies, would assume much of the liability associated with increasingly powerful AI systems.

The underlying issue is not simply regulation. It is responsibility. As AI systems become integrated into finance, healthcare, defense, software development, education and government services, the consequences of model failures could become significantly larger.

An inaccurate chatbot response may be inconvenient today, but an autonomous system influencing financial transactions, critical infrastructure or military decision-making could produce consequences measured in millions or billions of dollars.

That creates an unresolved question: who should be legally responsible when an AI system causes harm? Karp frames the problem from the perspective of businesses deploying AI.

If a company integrates a model into its operations and that model makes a consequential mistake, customers, shareholders or counterparties could seek compensation. His warning that “every single one of my clients is going to sue” captures the commercial anxiety surrounding the technology.

From this perspective, safety discussions could also function as conversations about liability. If AI companies can demonstrate that their systems are operating under government-approved safety frameworks, responsibility could become more distributed between developers, deployers and regulators.

However, the nationalization argument remains contested. AI safety advocates generally describe their concerns in terms of catastrophic risk, misuse, cybersecurity, misinformation, autonomous systems and the difficulty of controlling increasingly capable models. Those concerns do not inherently require government ownership of AI laboratories.

Indeed, nationalization could introduce its own complications. Government control might provide greater resources and oversight, but it could also concentrate technological power in the state.

Decisions about model development, access and deployment could become closely connected to national-security priorities and political institutions.

There is a fundamental distinction between regulation and ownership. A government can establish liability rules, testing requirements, reporting obligations and safety standards without taking ownership of the companies developing the technology.

The emerging policy debate therefore does not have to be reduced to a choice between unrestricted private AI and nationalized laboratories. Karp’s comments nevertheless highlight a crucial weakness in the current AI ecosystem: liability frameworks have not evolved as quickly as technological capabilities.

The traditional software industry largely operates under legal structures developed when software was considered a tool rather than an increasingly autonomous decision-making system. Generative and agentic AI complicate that assumption.

When a system generates code, makes recommendations, executes transactions or interacts with customers independently, determining where responsibility begins and ends becomes considerably harder. The debate over AI safety is therefore becoming a debate over governance.

Companies want room to innovate, governments want mechanisms to manage systemic risk, and users increasingly expect someone to be accountable when AI fails.

Karp’s nationalization theory may remain controversial, but it exposes an important question: as AI becomes more powerful, who ultimately carries the liability when the machines make consequential mistakes? That question may prove just as important as how intelligent the machines become.

Crypto Market Cap Gains Over $210 Billion Since CLARITY Act Failed in Senate

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The total cryptocurrency market capitalization has climbed by more than $210 billion since the U.S. Senate failed to advance the Digital Asset Market Clarity Act.

Bitcoin rebounded above the $81,000 mark, trading as high as $81,907, and extending a sharp recovery that has triggered a strong rally in crypto-linked stocks.

The recovery comes after Bitcoin fell below $75,000 earlier in the week. Also, the gain comes just days after a key procedural vote on September 15, 2026, and reflects a sharp rebound following an initial market dip.

Recall that on Tuesday, senators voted 49-50 against invoking cloture on the motion to proceed with the bill, falling well short of the 60 votes required to open formal debate. All Democrats opposed the measure, joined by several Republicans including Sens.

The legislation, which had earlier passed the House and advanced through the Senate Banking Committee, aimed to create a clearer federal framework for digital assets by distinguishing securities from commodities and assigning primary oversight of many activities to the Commodity Futures Trading Commission while preserving certain Securities and Exchange Commission authorities.

Democratic opposition centered largely on ethics provisions. Lawmakers argued the bill did not adequately address potential conflicts of interest stemming from President Donald Trump’s extensive personal and family crypto holdings and businesses.

Some Republicans raised separate concerns about stablecoin yield provisions and their potential impact on traditional banking deposits.

Industry advocates and bill sponsors, including Sen. Cynthia Lummis, expressed disappointment. She said Democrats proved they were never truly serious about protecting consumers and preserving American leadership.

She further argued that after more than a year of negotiations and substantial concessions, the opposition amounted to political gamesmanship rather than genuine policy disagreement.

“For over a year, they presented demands and the second we met them, they made new demands and moved the goalposts. Today they voted against real limitations on politicians’ personal crypto investments. They voted against protecting American consumers from the scammers and fraudsters this bill would have shut down”, she wrote.

Bitcoin and other major cryptocurrencies declined in the immediate aftermath of the vote, with BTC briefly trading near $76,000. Crypto-related equities also saw sharper losses.

However, the broader market has since recovered strongly. Charts of total market capitalization show a clear upward trajectory from levels around the time of the vote, pushing the overall figure into the $2.76–$2.78 trillion range by September 19.

Market observers note that the rebound underscores crypto’s resilience. Bitwise Chief Investment Officer Matt Hougan pointed out that Bitcoin’s summer rally from below $58,000 to above $80,000 occurred even as betting-market odds of the CLARITY Act becoming law this year declined.

He and others argue the bull market does not depend on this single piece of legislation. Ongoing activity by regulators, including recent CFTC and SEC actions on DeFi relief and tokenized securities, along with continued institutional moves such as new blockchain launches and exchange-traded products, has helped sustain momentum.

While many in the industry still view comprehensive market-structure legislation as desirable for long-term clarity and institutional adoption, the recent price action suggests participants are focusing more on existing regulatory progress, macroeconomic factors, and underlying network growth than on the stalled bill.

Outlook

Looking ahead, the cryptocurrency market’s performance is likely to remain influenced by a combination of regulatory developments, institutional adoption, macroeconomic conditions and Bitcoin’s ability to sustain its recovery above key price levels.

Although the Senate setback has delayed progress on the CLARITY Act, it does not necessarily remove the possibility of future digital-asset legislation.

Renewed negotiations could still emerge around the bill’s market-structure and ethics provisions, particularly as lawmakers continue to debate the appropriate regulatory framework for the sector.