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The government is forcefully intervening across the economy — but only because it’s worried about China.
On Thursday, the top climate diplomats from the world’s two most polluting countries are meeting in Washington, D.C. John Podesta, America’s climate envoy, and Liu Zhenmin, China’s climate envoy, will hold their first formal session and lay the groundwork for the United Nations climate conference in Azerbaijan later this year. They will discuss, among other topics, boosting climate finance and making further cuts to methane emissions, according to Axios.
Both men are new to their posts, with their predecessors John Kerry and Xie Zhenhua having each stepped down in the past year. That could prove important. Kerry and Xie could draw on their long personal relationship in their negotiations: During the UN climate conference in Glasgow in 2021, their friendliness seemed to hold the talks together.
Now, Liu and Podesta, who is also overseeing the Inflation Reduction Act’s implementation, must forge a new bond. And they must do so in an environment where vastly every climate-related issue — electric vehicles, coal power, industrial potency, and trade — has gotten caught up in the deteriorating relationship between the two superpowers.
Does it make sense to talk about the economy, climate change, and national security as separate issues anymore? Some of the same issues that have complicated America and China’s political and economic relationship — the former’s rising tariffs, the latter’s alleged “overcapacity” — are inextricable from their climate policies. In a way, the questions that Podesta and Liu will confront all come down to one idea: What kind of world can we all live in?
I recently attended the Hewlett Foundation’s Common Sense conference outside San Francisco, a gathering of thinkers, scholars, and journalists from the right and left who are trying to find a “post-neoliberal” ideology, something to replace the dogma of free trade and unfettered markets that has reigned since the days of Ronald Reagan and Margaret Thatcher.
Rana Foroohar of the FTnoted last year that the Hewlett conference aims to become a kind of post-neoliberal “Mount Pelerin Society,” the midcentury ensemble of economists, philosophers, historians, and business leaders who first plotted what later became neoliberalism. I’m not sure about that — there weren’t too many business leaders in California last month, and not every attendee adhered to the post-neoliberal school of thought — but it was a fascinating few days of discussion, and some big names, including Rep. Ro Khanna and Sen. Chris Murphy, appeared onstage. (I was there to moderate a climate policy panel.)
I agree with the central thesis, though: Look around and you can see a new school of political and economic thought come into view. At its best, this post-neoliberal ideology sees markets as onetool of many to organize prosperity and human effort. Its adherents believe that markets are created and organized by governments — and that, therefore, governments have a right to shape markets to achieve more societally harmonious ends.
Under Biden, the Federal Trade Commission and the Justice Department have investigated tech companies and blocked high-profile corporate mergers, a trend that could continue under Trump. There is an emerging bipartisan interest in industrial policy, even if Democrats and Republicans can’t always agree on how it should be used. Biden is the most pro-labor president in a generation, and even a few Republicans now sympathize with unions. (Perhaps most importantly, last month the United Auto Workers successfully organized a Volkswagen factory in the right-to-work South.) Lawmakers and officials talk about the economy not as a self-balancing marvel, but as a set of interlaced supply chains and industrial processes, which can sometimes be managed at the source. The government can distribute vaccines, subsidize solar panels, and contract for the production of heat pumps.
But at its worst, this new ideology seeks to seed the economy with protectionist institutions in the name of political expediency. Unconstrained, such a tendency could, for instance, degrade the American car industry, filling the roads with bloated and expensive gas guzzlers. It could make housing and healthcare even more expensive for Americans while justifying new patronage networks, autarky, and the politicized persecution of companies or industries.
Whether good or bad, though, something is coming. “I believe we’re in the seventh inning stretch of consolidating a successor to neoliberalism,” Jennifer Harris, a former White House official who now runs the Hewlett Foundation’s Economy and Society program, said at the conference’s opening. Innings one through three were just about “jumping up and down and saying the word neoliberalism a lot,” she added, but now a more complete ideology is forming. Call it a liberalism that builds, productivism, or something else: Policymakers are approaching the economy in a new way.
And, well, cheers for that — not three, though. Maybe two. Here at Heatmap, we try to cover that new way of thinking about economics and society in part because climate change is a big force driving that change in the first place. The challenge of decarbonization is leading policymakers to think about the real economy in new ways. You can see this in Biden’s approach to remaking the American economy: He has rejected the old climate orthodoxy that governments should price carbon and let the market do the rest in favor of a more experimental, sector-by-sector scheme of tax credits, grant programs, and public investments.
But I can only go so far in saluting this new paradigm, because the other factor driving the change is the deteriorating geopolitical environment. If the United States government is taking the reins of its economy, that is because it fears what the Chinese government might do in the near future. This anxiety, too, you can see across economic policy. Under Biden, the government’s most forceful bipartisan intervention in the economy — the CHIPS Act — stemmed from anxieties over a Chinese invasion of Taiwan. Even the Bipartisan Infrastructure Law has been justified by citing the Chinese threat. Senator Joe Manchin’s decisive support of the Inflation Reduction Act, too, was rooted in the fear — now partly realized — that China would dominate the clean-energy future.
That must lend an air of melancholy to our post-neoliberal moment: If economic policy is getting better, it’s because the world is getting worse.
One more thought to complicate the Podesta-Liu talks: The two forces driving this phenomenon — the urgency of decarbonization and the rise of a menacing Sino-American relationship — coexist with great difficulty in U.S. policy. But in China, they fit more easily.
Over the past few months, the American and European press have come to terms with just how exceptional China’s electric-vehicle and battery industries have become. This advantage is due in part to China’s large consumer market and its pre-existing proficiency at making electronics of all kinds. (China’s top EV battery maker, CATL, was spun off of a Hong Kong-based company ATL, which manufactured iPhone batteries.)
But policy has played a decisive role, too. China has subsidized its EV industry far more generously than the U.S. or Europe, and its officials have cracked down on internal-combustion vehicles to a degree not seen in the West. Why have China’s leaders leaned so much into EVs? And why has China become so skilled at manufacturing solar panels, wind turbines, grid-scale batteries, and other essential decarbonization tech?
The answer lies, in part, in its national security prerogatives. China’s economy depends on oil, of which it has almost no domestic reserves to speak of. It imports more than 10 million barrels of oil a day, and in a hypothetical Sino-American conflict, the U.S. would move to cut off China’s access. So it behooves China to invest in technologies that reduce its dependence on oil and fossil fuels.
Now, is energy security the only reason that China has embraced the energy transition? Of course not. Its political and corporate leaders know that decarbonization presents a massive global market opportunity. They know, too, that climate action is the humanitarianism of the 21st century: It is one of the few things that a country can do that seems to redound to every other country’s benefit.
But note that decarbonization plays virtually the opposite role in the U.S. At least for now, we have vast fossil fuel reserves, while we have to rely on imported minerals and materials to make EVs, many of them from China. Decarbonizing, in other words, does little for our energy security in the short-term — at least until sufficient mining and refining capacity opens in North America.
This is just some of what Podesta must weigh as he sits down with Liu. And it’s a good reminder: During the free trade era, climate was a side issue that could be shunted to its own UN session. Now, in more ways than one, it’s life and death.
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Why the new “reasoning” models might gobble up more electricity — at least in the short term
What happens when artificial intelligence takes some time to think?
The newest set of models from OpenAI, o1-mini and o1-preview, exhibit more “reasoning” than existing large language models and associated interfaces, which spit out answers to prompts almost instantaneously.
Instead, the new model will sometimes “think” for as long as a minute or two. “Through training, they learn to refine their thinking process, try different strategies, and recognize their mistakes,” OpenAI announced in a blog post last week. The company said these models perform better than their existing ones on some tasks, especially related to math and science. “This is a significant advancement and represents a new level of AI capability,” the company said.
But is it also a significant advancement in energy usage?
In the short run at least, almost certainly, as spending more time “thinking” and generating more text will require more computing power. As Erik Johannes Husom, a researcher at SINTEF Digital, a Norwegian research organization, told me, “It looks like we’re going to get another acceleration of generative AI’s carbon footprint.”
Discussion of energy use and large language models has been dominated by the gargantuan requirements for “training,” essentially running a massive set of equations through a corpus of text from the internet. This requires hardware on the scale of tens of thousands of graphical processing units and an estimated 50 gigawatt-hours of electricity to run.
Training GPT-4 cost “more than” $100 million OpenAI chief executive Sam Altman has said; the next generation models will likely cost around $1 billion, according to Anthropic chief executive Dario Amodei, a figure that might balloon to $100 billion for further generation models, according to Oracle founder Larry Ellison.
While a huge portion of these costs are hardware, the energy consumption is considerable as well. (Meta reported that when training its Llama 3 models, power would sometimes fluctuate by “tens of megawatts,” enough to power thousands of homes). It’s no wonder that OpenAI’s chief executive Sam Altman has put hundreds of millions of dollars into a fusion company.
But the models are not simply trained, they're used out in the world, generating outputs (think of what ChatGPT spits back at you). This process tends to be comparable to other common activities like streaming Netflix or using a lightbulb. This can be done with different hardware and the process is more distributed and less energy intensive.
As large language models are being developed, most computational power — and therefore most electricity — is used on training, Charlie Snell, a PhD student at University of California at Berkeley who studies artificial intelligence, told me. “For a long time training was the dominant term in computing because people weren’t using models much.” But as these models become more popular, that balance could shift.
“There will be a tipping point depending on the user load, when the total energy consumed by the inference requests is larger than the training,” said Jovan Stojkovic, a graduate student at the University of Illinois who has written about optimizing inference in large language models.
And these new reasoning models could bring that tipping point forward because of how computationally intensive they are.
“The more output a model produces, the more computations it has performed. So, long chain-of-thoughts leads to more energy consumption,” Husom of SINTEF Digital told me.
OpenAI staffers have been downright enthusiastic about the possibilities of having more time to think, seeing it as another breakthrough in artificial intelligence that could lead to subsequent breakthroughs on a range of scientific and mathematical problems. “o1 thinks for seconds, but we aim for future versions to think for hours, days, even weeks. Inference costs will be higher, but what cost would you pay for a new cancer drug? For breakthrough batteries? For a proof of the Riemann Hypothesis? AI can be more than chatbots,” OpenAI researcher Noam Brown tweeted.
But those “hours, days, even weeks” will mean more computation and “there is no doubt that the increased performance requires a lot of computation,” Husom said, along with more carbon emissions.
But Snell told me that might not be the end of the story. It’s possible that over the long term, the overall computing demands for constructing and operating large language models will remain fixed or possibly even decline.
While “the default is that as capabilities increase, demand will increase and there will be more inference,” Snell told me, “maybe we can squeeze reasoning capability into a small model ... Maybe we spend more on inference but it’s a much smaller model.”
OpenAI hints at this possibility, describing their o1-mini as “a smaller model optimized for STEM reasoning,” in contrast to other, larger models that “are pre-trained on vast datasets” and “have broad world knowledge,” which can make them “expensive and slow for real-world applications.” OpenAI is suggesting that a model can know less but think more and deliver comparable or better results to larger models — which might mean more efficient and less energy hungry large language models.
In short, thinking might use less brain power than remembering, even if you think for a very long time.
On Azerbaijan’s plans, offshore wind auctions, and solar jobs
Current conditions: Thousands of firefighters are battling raging blazes in Portugal • Shanghai could be hit by another typhoon this week • More than 18 inches of rain fell in less than 24 hours in Carolina Beach, which forecasters say is a one-in-a-thousand-year event.
Azerbaijan, the host of this year’s COP29, today put forward a list of “non-negotiated” initiatives for the November climate summit that will “supplement” the official mandated program. The action plan includes the creation of a new “Climate Finance Action Fun” that will take (voluntary) contributions from fossil fuel producing countries, a call for increasing battery storage capacity, an appeal for a global “truce” during the event, and a declaration aimed at curbing methane emissions from waste (which the Financial Times noted is “only the third most common man-made source of methane, after the energy and agricultural sectors”). The plan makes no mention of furthering efforts to phase out fossil fuels in the energy system.
The Interior Department set a date for an offshore wind energy lease sale in the Gulf of Maine, an area which the government sees as suitable for developing floating offshore wind technology. The auction will take place on October 29 and cover eight areas on the Outer Continental Shelf off Massachusetts, New Hampshire, and Maine. The area could provide 13 gigawatts of offshore wind energy, if fully developed. The Biden administration has a goal of installing 30 GW of offshore wind by 2030, and has approved about half that amount so far. The DOI’s terms and conditions for the October lease sale include “stipulations designed to promote the development of a robust domestic U.S. supply chain for floating wind.” Floating offshore wind turbines can be deployed in much deeper waters than traditional offshore projects, and could therefore unlock large areas for clean power generation. Last month the government gave the green light for researchers to study floating turbines in the Gulf of Maine.
In other wind news, BP is selling its U.S. onshore wind business, bp Wind Energy. The firm’s 10 wind farm projects have a total generating capacity of 1.3 gigawatts and analysts think they could be worth $2 billion. When it comes to renewables, the fossil fuel giant said it is focusing on investing in solar growth, and onshore wind is “not aligned” with those plans.
The number of jobs in the U.S. solar industry last year grew to 279,447, up 6% from 2022, according to a new report from the nonprofit Interstate Renewable Energy Council. Utility-scale solar added 1,888 jobs in 2023, a 6.8% increase and a nice rebound from 2022, when the utility-scale solar market recorded a loss in jobs. The report warns that we might not see the same kind of growth for solar jobs in 2024, though. Residential installations have dropped, and large utility-scale projects are struggling with grid connection. The report’s authors also note that as the industry grows, it faces a shortage of skilled workers.
Interstate Renewable Energy Council
Most employers reported that hiring qualified solar workers was difficult, especially in installation and project development. “It’s difficult because our projects are built in very rural areas where there just aren't a lot of people,” one interviewee who works at a utility-scale solar firm said. “We strive to hire as many local people as possible because we want local communities to feel the economic impact or benefit from our projects. So in some communities where we go, it is difficult to find local people that are skilled and can perform the work.”
The torrential rain that has battered central Europe is tapering off a bit, but the danger of rising water remains. “The massive amounts of rain that fell is now working its way through the river systems and we are starting to see flooding in areas that avoided the worst of the rain,” BBC meteorologist Matt Taylor explained. The Polish city of Nysa told its 44,000 residents to leave yesterday as water rose. In the Czech Republic, 70% of the town of Litovel was submerged in 3 feet of flooding. The death toll from the disaster has risen to 18. Now the forecast is calling for heavy rain in Italy. “The catastrophic rainfall hitting central Europe is exactly what scientists expect with climate change,” Joyce Kimutai, a climate scientist with Imperial College London’s Grantham Institute, toldThe Guardian.
A recent study examining the effects of London’s ultra-low emissions zone on how students get to school found that a year after the rules came into effect, many students had switched to walking, biking, or taking public transport instead of being driven in private vehicles.
Welcome to Decarbonize Your Life, Heatmap’s special report that aims to help you make decisions in your own life that are better for the climate, better for you, and better for the world we all live in. This is our attempt, in other words, to assist you in living something like a normal life while also making progress in the fight against climate change.
That means making smarter and more informed decisions about how climate change affects your life — and about how your life affects climate change. The point is not what you shouldn’t do (although there is some of that). It’s about what you should do to exert the most leverage on the global economic system and, hopefully, nudge things toward decarbonization just a little bit faster.
We certainly think we’ve hit upon a better way to think about climate action, but you don’t have to take our word for it. Keep reading here for more on how (and why) we think about decarbonizing your life — or just skip ahead to our recommendations, below.