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Republican politicians, sensing momentum, called on other firms to follow suit.

“This was always cosmetic,” said Shivaram Rajgopal, a professor at Columbia Business School. “If signing a piece of paper was getting these companies into trouble, it’s no surprise they’re getting the hell out.

American asset managers have a fiduciary duty to act in the best interest of their clients, and the financial firms were worried that a new strategy by Climate Action 100+ could expose them to legal risks.

Since its founding in 2017, the group focused on getting publicly traded companies to increase how much information they shared about their emissions and identify climate-related risks to their businesses.

In addition to the risk that some clients might disapprove, and potentially sue, there were other concerns. Among them: that acting in concert to shape the behaviors of other companies could fall afoul of antitrust regulations.

The new plan called on asset-management firms to begin pressuring companies like Exxon Mobil and Walmart to adopt policies that could entail, for example, using fewer fossil fuels

last year, Climate Action 100+ said it would shift its focus toward getting companies to reduce emissions with what it called phase two of its strategy

BlackRock also said that one of its subsidiaries, BlackRock International, would continue to participate in the group — a tacit acknowledgment of the different regulatory environment in Europe. BlackRock also said it was initiating new features that would let clients choose if they wanted to pressure companies to reduce their emissions.

Pimco, another big asset manager, followed suit. “We have concluded that our Climate Action 100+ participation is no longer aligned with PIMCO’s approach to sustainability,” a firm spokesman said in a statement.

JPMorgan said it was pulling out of the group in recognition of the fact that, over the past few years, the firm had developed its own framework for engaging on climate risk

The fracturing of Climate Action 100+ was a victory for Representative Jim Jordan, Republican of Ohio, who has led a campaign against companies pursuing E.S.G. goals, shorthand for environmental, social and governance factors.

Embracing E.S.G. principles and speaking up on climate issues has become commonplace across corporate America in recent years. Chief executives warned about the dangers of climate change. Banks and asset managers formed alliances to phase out fossil fuels. Trillions of dollars were allocated for sustainable investing.

“Phase two is not that different,” she said. “It’s basically investors working with companies and saying: ‘OK, you’ve disclosed the risk. We just want to know how you’re going to address it.’ Because that’s what the investors want. How are you dealing with risk?”

Mindy Lubber, the chief executive of Ceres and a member of the steering committee of Climate Action 100+, disputed the notion that the new strategy represented a change from the focus on enhanced disclosure.

“The political cost has heightened, the legal risk has heightened,” he said. “That said, these corporations are not doing U-turns,” he added. “They continue to consider climate. That’s not going away. It’s adapting to the current environment.”

Aron Cramer, chief executive for BSR, a sustainable-business consultancy, said the Wall Street firms were responding to political pressure, but not abandoning their climate commitments altogether.

Several of the firms that backed out of Climate Action 100+ said they remained committed to the issue. JPMorgan said that it had a team of 40 people working on sustainable investing and that it believed “climate change continues to present material economic risks and opportunities to our clients.”

At some point they will be able to, for example, suggest recipes for novel cyberattacks or biological attacks—all based on publicly available knowledge.

But as models become more sophisticated, this approach may prove insufficient. Some models are beginning to exhibit polymathic behavior: They appear to know more than just what is in their training data and can link concepts across fields, languages, and geographies.

We need to adopt new approaches to AI safety that track the complexity and innovation speed of the core models themselves.

What’s much harder to test for is what’s known as “capability overhang”—meaning not just the model’s current knowledge, but the derived knowledge it could potentially generate on its own.

Red teams have so far shown some promise in predicting models’ capabilities, but upcoming technologies could break our current approach to safety in AI. For one, “recursive self-improvement” is a feature that allows AI systems to collect data and get feedback on their own and incorporate it to update their own parameters, thus enabling the models to train themselves

This could result in, say, an AI that can build complex system applications (e.g., a simple search engine or a new game) from scratch. But, the full scope of the potential new capabilities that could be enabled by recursive self-improvement is not known.

Another example would be “multi-agent systems,” where multiple independent AI systems are able to coordinate with each other to build something new.

This so-called “combinatorial innovation,” where systems are merged to build something new, will be a threat simply because the number of combinations will quickly exceed the capacity of human oversight.

Short of pulling the plug on the computers doing this work, it will likely be very difficult to monitor such technologies once these breakthroughs occur

Current regulatory approaches are based on individual model size and training effort, and are based on passing increasingly rigorous tests, but these techniques will break down as the systems become orders of magnitude more powerful and potentially elusive

AI regulatory approaches will need to evolve to identify and govern the new emergent capabilities and the scaling of those capabilities.

But the AI Act has already fallen behind the frontier of innovation, as open-source AI models—which are largely exempt from the legislation—expand in scope and number

Europe has so far attempted the most ambitious regulatory regime with its AI Act,

both Biden’s order and Europe’s AI Act lack intrinsic mechanisms to rapidly adapt to an AI landscape that will continue to change quickly and often.

a gathering in Palo Alto organized by the Rand Corp. and the Carnegie Endowment for International Peace, where key technical leaders in AI converged on an idea: The best way to solve these problems is to create a new set of testing companies that will be incentivized to out-innovate each other—in short, a robust economy of testing

To check the most powerful AI systems, their testers will also themselves have to be powerful AI systems, precisely trained and refined to excel at the single task of identifying safety concerns and problem areas in the world’s most advanced models.

To be trustworthy and yet agile, these testing companies should be checked and certified by government regulators but developed and funded in the private market, with possible support by philanthropy organizations

The field is moving too quickly and the stakes are too high for exclusive reliance on typical government processes and timeframes.

One way this can unfold is for government regulators to require AI models exceeding a certain level of capability to be evaluated by government-certified private testing companies (from startups to university labs to nonprofit research organizations), with model builders paying for this testing and certification so as to meet safety requirements.

As AI models proliferate, growing demand for testing would create a big enough market. Testing companies could specialize in certifying submitted models across different safety regimes, such as the ability to self-proliferate, create new bio or cyber weapons, or manipulate or deceive their human creators

Much ink has been spilled over presumed threats of AI. Advanced AI systems could end up misaligned with human values and interests, able to cause chaos and catastrophe either deliberately or (often) despite efforts to make them safe. And as they advance, the threats we face today will only expand as new systems learn to self-improve, collaborate and potentially resist human oversight.

If we can bring about an ecosystem of nimble, sophisticated, independent testing companies who continuously develop and improve their skill evaluating AI testing, we can help bring about a future in which society benefits from the incredible power of AI tools while maintaining meaningful safeguards against destructive outcomes.

there is a world of content out there that has not been watermarked, which is done by adding imperceptible information to a digital file so that its provenance can be traced. Once watermarking at creation becomes widespread, and people adapt to distrust content that is not watermarked, then everything produced before that point in time can be much more easily called into question.

countering them is much harder when the cost of creating near-perfect fakes has been radically reduced.

There are many examples of how economic and political powers manipulated the historical record to their own ends. Stalin purged disloyal comrades from history by executing them — and then altering photographic records to make it appear as if they never existed

Slovenia, upon becoming an independent country in 1992, “erased” over 18,000 people from the registry of residents — mainly members of the Roma minority and other ethnic non-Slovenes. In many cases, the government destroyed their physical records, leading to their loss of homes, pensions, and access to other services, according to a 2003 report by the Council of Europe Commissioner for Human Rights.

The infamous Protocols of the Elders of Zion, first published in a Russian newspaper in 1903, purported to be meeting minutes from a Jewish conspiracy to control the world. First discredited in August 1921, as a forgery plagiarized from multiple unrelated sources, the Protocols featured prominently in Nazi propaganda, and have long been used to justify antisemitic violence, including a citation in Article 32 of Hamas’s 1988 founding Covenant.

In 1924, the Zinoviev Letter, said to be a secret communiqué from the head of the Communist International in Moscow to the Communist Party of Great Britain to mobilize support for normalizing relations with the Soviet Union, was published by The Daily Mail four days before a general election. The resulting scandal may have cost Labour the election.

As it becomes easier to generate historical disinformation, and as the sheer volume of digital fakes explodes, the opportunity will become available to reshape history, or at least to call our current understanding of it into question.

Decades later Operation Infektion — a Soviet disinformation campaign — used forged documents to spread the idea that the United States had invented H.I.V., the virus that causes AIDS, as a biological weapon.

Fortunately, a path forward has been laid by the same companies that created the risk.

In indexing a large share of the world’s digital media to train their models, the A.I. companies have effectively created systems and databases that will soon contain all of humankind’s digitally recorded content, or at least a meaningful approximation of it.

They could start work today to record watermarked versions of these primary documents, which include newspaper archives and a wide range of other sources, so that subsequent forgeries are instantly detectable.

many of the intellectual property concerns around providing a searchable online archive do not apply to creating watermarked and time-stamped versions of documents, because those versions need not be made publicly available to serve their purpose. One can compare a claimed document to the recorded archive by using a mathematical transformation of the document known as a “hash,” the same technique the Global Internet Forum to Counter Terrorism, uses to help companies screen for known terrorist content.

creating verified records of historical documents can be valuable for the large A.I. companies. New research suggests that when A.I. models are trained on A.I.-generated data, their performance quickly degrades. Thus separating what is actually part of the historical record from newly created “facts” may be critical.

Preserving the past will also mean preserving the training data, the associated tools that operate on it and even the environment that the tools were run in.

Such a vellum will be a powerful tool. It can help companies to build better models, by enabling them to analyze what data to include to get the best content, and help regulators to audit bias and harmful content in the models

Everywhere, new investment in green energy generation is being propelled by general concern for the climate, shifting corporate and household demand, the plunging prices for solar and batteries triggered by Chinese policy, and a combination of national and regional interventions

How different would we expect this data to look without the IRA?

The most useful overview of these modeling efforts that I have been able to find is by Bistline et al “Power sector impacts of the Inflation Reduction Act of 2022” in Environmental Research Letters November 2023. If anyone has a better source, please let me know.

The top panel shows the historical trajectory of US generating capacity from 1980 to 2021. The second half of the graphic shows how 11 different models predict that the US electricity system might be expected to develop up to 2035, with and without IRA.

all the models expect the trends of the 2010s to continue through to the 2030s which means that solar, wind and battery storage dominate America’s energy future. Even without the IRA, the low carbon share of electricity generation will likely rise to 50-55% by 2035. Bidenomics bumps that to 70-80 percent.

The question is: “How does the renewable surge of 2022-2024, compare to the model-based expectations, with and without the IRA?”

The answer is either, “so so”, or, more charitably, it is “too early to tell”. In broad terms the current rate of expansion is slightly above the rate the models predict without the provision of additional Bidenomics incentives. But what is also clear is that the current rate of expansion, is far short of the long-run pace that should be expected from the IRA

At this point, defenders of the IRA interject that the IRA has only just come into effect. Cash from the IRA is only beginning to flow. And in an environment of higher costs for renewable energy equipment and higher interest rates, cash matters.

As Yakov Feygin put it: “Maybe the pithiest way to put it is that there are pre-IRA trends and outside IRA trends, but IRA has served to rapidly compress the timeframes for installation in a lot of technologies. So five years has turned into two, for example.”

So, to judge the impact of the IRA to date, the real question is not what has been built in 2022 and 2023, but what is in the pipeline.

Advised by JP Morgan, sophisticated global players like Ørsted are optimizing their use of both the production and investment tax credits offered by the IRA to launch large new renewable schemes. Of course, correlation is not the same as causation

Where the IRA is perhaps doing its most important work may be in incentivizing the middle bracket of projects where green momentum is less certain.

According to Utility Drive: “The 10 largest U.S. developers plan to build 110,364 MW of new wind and solar projects over the next five years, according to S&P Global Market Intelligence, but the majority of these projects remain in early stages of development. Just 15% of planned wind and solar projects are under construction, and 13% are considered to be in advanced stages of development, … ”

The states that I have highlighted in red stand out either for their unusually low existing level of renewable power capacity or their lack of current momentum.

Along with Texas, the pipelines for the PJM, MISO and Southeast regions (which includes Florida) look particularly healthy.

The relatively modest California numbers should not be a surprise. As Yakov Feygin and others pointed out, what is needed in California is not more raw generating capacity, but more battery storage. And that is what we are seeing in the data.

The numbers would be even larger if it were not for the truly surreal logjam in California’s system for authorizing interconnections. According to Hamilton/Brookings data the volume of hybrid solar and batter capacity in the queue for approval is 6.5 times the capacity currently operating in the state. In other words there is an entire energy transition waiting to happen when the overloaded managerial processes of the system catch up

Texas’s less bureaucratic system seems to be one of its key advantages in the extremely rapid roll-out of solar.

though it may be true that globally speaking the United States as a whole is a laggard in renewable energy development,

If California (with an economy roughly comparable to that of Germany at current exchange rates) and Texas (with an economy roughly the size of Italy’s) were countries, they would be #3 and #5 in the world in solar capacity per capita.

the obvious question is, which are the laggards in the US energy system.

So there is a lot to get excited about, at, what we are learning to call, the “meso”-level of the economy (more on this in a future post).

What the state-level data reveal is that there are a significant number of large states in the USA where solar and wind energy have barely made any impact. Pennsylvania, for instance

The relative levels of sunshine between US states is irrelevant. As the global solar atlas shows, the entire United States has far better solar potential than North West Europe. If you can grow corn and tobbaco, you can do utility-scale solar. The fact that Arizona is not a solar giant is mind boggling.

Texas is both big and truly remarkable. California already is a world leader in renewable energy. Meanwhile, the majority of the US electricity system presents a very different picture. There is a huge distance to be traveled and the pace of solar build-out is unremarkable.

This is where national level incentives like the IRA must prove themselves

And these local battles in America matter. Given the extremely high per capita energy consumption in the USA, greening state-level energy systems is significant at the global level. It does not compare to the super-sized levels of emissions in China, but it matters.

Indonesia’s total installed electricity generating capacity is rated at 81 GW. As far as immediate impact on the global carbon balance is concerned, cleaning up the power systems of Pennsylvania and Illinois would make an even bigger impact.

A key test of Biden-era climate and industrial policy will be whether it can untie the local political economy of fossil fuels, which, across many regions of the United States still stands in the way of a green energy transition that now has all the force of economics and technological advantage on its side.

A closer look, however, would have revealed that individual journalists at BNN published lengthy stories as often as multiple times a minute, writing in generic prose familiar to anyone who has tinkered with the A.I. chatbot ChatGPT.

How easily the site and its mistakes entered the ecosystem for legitimate news highlights a growing concern: A.I.-generated content is upending, and often poisoning, the online information supply.

The websites, which seem to operate with little to no human supervision, often have generic names — such as iBusiness Day and Ireland Top News — that are modeled after actual news outlets. They crank out material in more than a dozen languages, much of which is not clearly disclosed as being artificially generated, but could easily be mistaken as being created by human writers.

Now, experts say, A.I. could turbocharge the threat, easily ripping off the work of journalists and enabling error-ridden counterfeits to circulate even more widely — as has already happened with travel guidebooks, celebrity biographies and obituaries.

The result is a machine-powered ouroboros that could squeeze out sustainable, trustworthy journalism. Even though A.I.-generated stories are often poorly constructed, they can still outrank their source material on search engines and social platforms, which often use A.I. to help position content. The artificially elevated stories can then divert advertising spending, which is increasingly assigned by automated auctions without human oversight.

NewsGuard, a company that monitors online misinformation, identified more than 800 websites that use A.I. to produce unreliable news content.

Low-paid freelancers and algorithms have churned out much of the faux-news content, prizing speed and volume over accuracy.

Former employees said they thought they were joining a legitimate news operation; one had mistaken it for BNN Bloomberg, a Canadian business news channel. BNN’s website insisted that “accuracy is nonnegotiable” and that “every piece of information underwent rigorous checks, ensuring our news remains an undeniable source of truth.”

this was not a traditional journalism outlet. While the journalists could occasionally report and write original articles, they were asked to primarily use a generative A.I. tool to compose stories, said Ms. Chakraborty and Hemin Bakir, a journalist based in Iraq who worked for BNN for almost a year. They said they had uploaded articles from other news outlets to the generative A.I. tool to create paraphrased versions for BNN to publish.

Mr. Chahal’s evangelism carried weight with his employees because of his wealth and seemingly impressive track record, they said. Born in India and raised in Northern California, Mr. Chahal made millions in the online advertising business in the early 2000s and wrote a how-to book about his rags-to-riches story that landed him an interview with Oprah Winfrey.

Mr. Chahal told Mr. Bakir to focus on checking stories that had a significant number of readers, such as those republished by MSN.com.Employees did not want their bylines on stories generated purely by A.I., but Mr. Chahal insisted on this. Soon, the tool randomly assigned their names to stories.

This crossed a line for some BNN employees, according to screenshots of WhatsApp conversations reviewed by The Times, in which they told Mr. Chahal that they were receiving complaints about stories they didn’t realize had been published under their names.

According to three journalists who worked at BNN and screenshots of WhatsApp conversations reviewed by The Times, Mr. Chahal regularly directed profanities at employees and called them idiots and morons. When employees said purely A.I.-generated news, such as the Fanning story, should be published under the generic “BNN Newsroom” byline, Mr. Chahal was dismissive.“When I do this, I won’t have a need for any of you,” he wrote on WhatsApp.Mr. Bakir replied to Mr. Chahal that assigning journalists’ bylines to A.I.-generated stories was putting their integrity and careers in “jeopardy.”

This was a strategy that Mr. Chahal favored, according to former BNN employees. He used his news service to exercise grudges, publishing slanted stories about a politician from San Francisco he disliked, Wikipedia after it published a negative entry about BNN Breaking and Elon Musk after accounts belonging to Mr. Chahal, his wife and his companies were suspended o

The increasing popularity of programmatic advertising — which uses algorithms to automatically place ads across the internet — allows A.I.-powered news sites to generate revenue by mass-producing low-quality clickbait content

Experts are nervous about how A.I.-fueled news could overwhelm accurate reporting with a deluge of junk content distorted by machine-powered repetition. A particular worry is that A.I. aggregators could chip away even further at the viability of local journalism, siphoning away its revenue and damaging its credibility by contaminating the information ecosystem.

In fact, the news from Wall Street lately has mostly been about retreat from climate goals, rather than recommitment. Banks and asset managers are withdrawing from international climate alliances and chafing at their rules. Regional banks are stepping up lending to fossil fuel producers. Sustainable investment funds have sustained crippling outflows, and many have collapsed.

In some cases, it’s a classic prisoner’s dilemma: If firms collectively shift to cleaner energy, a cooler climate benefits everyone more in the future

in the short term, each firm has an individual incentive to cash in on fossil fuels, making the transition much harder to achieve.

when it comes to avoiding climate damage to their own operations, the financial industry is genuinely struggling to comprehend what a warming future will mean.

A global compact of financial institutions made commitments worth $130 trillion to try to bring down emissions, confident that governments would create a regulatory and financial infrastructure to make those investments profitable. And in 2022, the Inflation Reduction Act passed.

What about the risk that climate change poses to the financial industry’s own investments, through more powerful hurricanes, heat waves that knock out power grids, wildfires that wipe out towns?

“If we think about what is going to be the best way to tilt your portfolios in the direction to benefit, it’s really difficult to do,”

“These will probably be great investments over 20 years, but when we’re judged over one to three years, it’s a little more challenging for us.”

Some firms cater to institutional clients, like public employee pension funds, that want combating climate change to be part of their investment strategy and are willing to take a short-term hit. But they aren’t a majority

And over the past couple of years, many banks and asset managers have shrunk from anything with a climate label for fear of losing business from states that frown on such concerns.

On top of that, the war in Ukraine scrambled the financial case for backing a rapid energy transition. Artificial intelligence and the movement toward greater electrification are adding demand for power, and renewables haven’t kept up

All of that is about the relative appeal of investments that would slow climate change

If you bought some of the largest solar-energy exchange-traded funds in early 2023, you would have lost about 20 percent of your money, while the rest of the stock market soared.

There is evidence that banks and investors price in some physical risk, but also that much of it still lurks, unheeded.

“I’m very, very worried about this, because insurance markets are this opaque weak link,” Dr. Sastry said. “There are parallels to some of the complex linkages that happened in 2008, where there is a weak and unregulated market that spills over to the banking system.”

Regulators worry that failing to understand those ripple effects could not just put a single bank in trouble but even become a contagion that would undermine the financial system.

But while the European Central Bank has made climate risk a consideration in its policy and oversight, the Federal Reserve has resisted taking a more active role, despite indications that extreme weather is feeding inflation and that high interest rates are slowing the transition to clean energy.

“The argument has been, ‘Unless we can convincingly show it’s part of our mandate, Congress should deal with it, it’s none of our business,’”

a much nearer-term uncertainty looms: the outcome of the U.S. election, which could determine whether further action is taken to address climate concerns or existing efforts are rolled back. An aggressive climate strategy might not fare as well during a second Trump administration, so it may seem wise to wait and see how it shakes out.

big companies are hesitating on climate-sensitive investments as November approaches, but says that “two things are misguided and quite dangerous about that hypothesis.”

One: States like California are establishing stricter rules for carbon-related financial disclosures and may step it up further if Republicans win

And two: Europe is phasing in a “carbon border adjustment mechanism,” which will punish polluting companies that want to do business there.

at the moment, even European financial institutions feel pressure from the United States, which — while providing some of the most generous subsidies so far for renewable-energy investment — has not imposed a price on carbon.

The global insurance company Allianz has set out a plan to align its investments in a way that would prevent warming above 1.5 degrees Celsius by the end of the century, if everyone else did the same. But it’s difficult to steer a portfolio to climate-friendly assets while other funds take on polluting companies and reap short-term profits for impatient clients.

“This is the main challenge for an asset manager, to really bring the customer along,” said Markus Zimmer, an Allianz economist. Asset managers don’t have sufficient tools on their own to move money out of polluting investments and into clean ones, if they want to stay in business,

“Of course it helps if the financial industry is somehow ambitious, but you cannot really substitute the lack of actions by policymakers,”

According to new research, the benefit is greater when decarbonization occurs faster, because the risks of extreme damage mount as time goes on. But without a uniform set of rules, someone is bound to scoop up the immediate profits, disadvantaging those that don’t — and the longer-term outcome is adverse for all.

“Please talk about money, everyone,” she said. “The more people are active in it, the better the results will be.”