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At COP28, Norway was consistently on the right side of climate. Why?
The annual COP 28 gathering is over, and it’s about time. As Robinson Meyer writes here at Heatmap, many important things came out of the conference, despite the utter joke of holding it in a notorious oil dictatorship — the United Arab Emirates — with the head of that country’s state oil company serving as president.
Yet another major oil-producing country at the conference was consistently on the right side of climate, namely Norway. The Norwegian delegation advocated for aggressive climate action, including a large energy transition fund to be focused on the poorest countries, announced millions in new investment to protect the rainforest in Brazil and for disaster insurance in Africa. Most importantly, it consistently pushed for a final agreement to phase out the use of fossil fuels. “It is not enough to say 1.5, we have to do 1.5. We have to deliver accordingly,” said Foreign Minister Espen Barth Eide. Saudi Arabia, Russia, and China opposed this language. Eventually the conference settled on an agreement to “transition away from” rather than “phase out,” which while disappointing is better than nothing.
Why didn’t Norway side with its fellow oil-producing nations? The reason is decades ago, it approached its oil reserves wisely, both economically and politically. This has allowed it to enjoy the benefits of oil without becoming an oil-addicted petrostate.
On the economics, Norway has taken a frankly socialist approach. When the North Sea oil deposits were discovered in the 1960s, it did not simply sell off the rights to a private company. Instead the government declared the deposits the collective property of the Norwegian citizenry and founded a state-owned company, Statoil (now Equinor). That in turned hired Mobil to teach it how to build an offshore drilling platform, built up its own expertise from there, and is now one of the biggest offshore drilling companies in the world. The company was formally sold into the stock market in 2001, but the government still owns more than two-thirds of the shares. It’s a perfect example of that typically Nordic combination of idealism and extreme technical expertise.
A corollary of its state-led oil development is what Norway does with the resulting revenue — it invests it in a social wealth fund. The primary point of this is to avoid “Dutch disease,” in which a country experiencing a resource boom sees a movement of labor into the resource sector, as well as an influx of foreign currency. The labor shift increases costs for other industries, while the foreign currency pushes up the value of the domestic currency, making exports less competitive. This effect is why big oil-producing nations tend to experience deindustrialization.
Norway was already quite wealthy when it discovered oil, and the government wanted to preserve its industrial base, and did not want to become dependent on the wildly gyrating global market price of oil. So instead of spending the revenues on subsidies for the citizenry, or on the government budget, it invested the proceeds in the Government Pension Fund Global. This fund has become truly colossal over the years, with some $1.4 trillion in it — representing about $255,000 for each Norwegian citizen.
As Matt Bruenig points out at The People’s Policy Project, if you impute Norway’s state-owned wealth to individual Norwegians (which makes sense given that Norway is a healthy democracy), then the share of wealth owned by the top 1 percent falls from 53 percent to 27 percent, making it arguably the most equal country in terms of wealth in the world.
Incidentally, Norway’s experience provides an important lesson for other countries that hit upon resource strikes, whether it’s oil in Guyana or lithium in Chile. A sudden surge of resource revenues sounds like a lucky break, but it can do serious damage to your economy if you aren’t careful. Just look at Venezuela, which was devastated when the price of oil collapsed in 2014 (though that wasn’t its only problem). You can spend the first few checks on needed infrastructure upgrades, of course, but over the long term you want to sock the money away into a diversified investment portfolio that doesn’t ruin the rest of your economy and can provide reasonably predictable returns over the long term.
But another point of the state investment model is political. Oil is quite profitable, and if private companies are getting the money, a nation will see a marked increase in inequality, and develop a class of ultra-rich people with concomitant distorting effects on politics. Oil billionaires (like Charles Koch or Tim Dunn) are notoriously reactionary even by billionaire standards, and that’s saying a lot. It may have something to do with the fact that, as a rule, oil company owners neither create, nor discover, nor work to produce the oil that makes them so fabulously rich (that would be nature, scientists, and workers respectively), and so cultivate a snarling hatred of taxation and government regulation to compensate for so plainly not deserving their wealth.
Whatever the case, oil magnates have vast funds for lobbying, which they use to attempt to capture the state for their own purposes — again, just look at America, or Canada. An extreme case of oil capture can be seen in Saudi Arabia or the U.A.E., which have wealth funds formally similar to Norway, but being dictatorships, ended up with governments actually constituted of oil billionaires, as if North Dakota was a hereditary monarchy.
The relative lack of oil influence also helps explain why Norway has set up one of the more aggressive decarbonization programs in the world. Now, its electricity sector has long been mostly decarbonized already thanks to tremendous hydropower resources, but that has made its crash transition away from oil-powered transportation all the more effective. Using a combination of subsidies and hefty, increasing taxes on gas- and oil-powered vehicles, the government has ensured that fully 80 percent of cars and trucks sold in Norway today are EVs, and that figure will continue to increase. Much work remains to be done (and EVs, while an improvement, are no magic bullet) but Norwegian carbon dioxide emissions per person plateaued in the late 90s and have since fallen by about a quarter, to 7.5 metric tons (or about half the American figure).
And this has been done with full knowledge that moving away from oil will mean substantial economic pain. A plan the government first adopted in 2019 faced the fact squarely: “Growth will have to take place in sectors where there is no economic resource rent. This means that tax revenues will be lower and companies cannot expect as high a return on their capital as in the petroleum sector.”
Saudi Arabia and the U.A.E., of course, depend heavily on oil and gas for energy, and produce truly eye-popping emissions.
Now, I shouldn’t exaggerate the greatness of Norway here. Equinor has had its share of spills and scandals. And of course, it would have been better if humanity had never used oil in the first place. But for the time being, humanity needs oil to function, and Norway has provided that oil in about the least-damaging way imaginable — not least because now that the world must wean itself off fossil fuels, Norway is both able and willing to turn off the taps.
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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.