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On strange vibrations, a White House heat summit, and asthma inhalers
Current conditions: Extreme rainfall in the Czech Republic could trigger some of the worst flooding in decades • South America has recorded more than 346,000 fire hotspots this year • A 4.7 magnitude earthquake rattled Los Angeles yesterday, followed by several aftershocks.
Back in September of last year, seismic sensors all over the world began detecting strange signals, the source of which researchers couldn’t identify. For nine days, the whole Earth appeared to vibrate at regular 90-second intervals. Now, scientists say they’ve figured out what happened: A massive landslide in Greenland, caused by a melting glacier, sent huge volumes of debris plummeting into a fjord and triggered a mega-tsunami. The energy from the wave remained trapped in the fjord for nine days, the water sloshing back and forth and sending vibrations rippling out across the entire globe. Here you can see before and after pictures of the glacier and the mountain:
Science / Danish army
In a study published yesterday in the journal Science, the researchers explicitly link the event to climate change. Warming global temperatures caused the glacier to become too thin to support the mountain, so it collapsed. And they say there will be more events like these. “As we continue to alter our planet’s climate, we must be prepared for unexpected phenomena that challenge our current understanding and demand new ways of thinking,” the researchers wrote. “The ground beneath us is shaking, both literally and figuratively. While the scientific community must adapt and pave the way for informed decisions, it’s up to decision-makers to act.”
The White House today will host its first-ever Extreme Heat Summit, where President Biden’s National Climate Advisor Ali Zaidi will issue an “Extreme Heat Call to Action,” urging leaders to step up their efforts to protect communities from the dangers of rising temperatures brought on by climate change. The summit comes on the heels of the hottest summer ever recorded in the Northern Hemisphere, and as the West Coast reels from wildfires made worse by drought and a record-breaking heat wave.
The summit will gather a variety of stakeholders – including emergency responders and health-care workers – to share takeaways and lessons from 2024’s extreme heat season, discuss how the government is helping and could help more, and identify gaps and opportunities for building extreme heat resilience ahead of next year. The White House will also announce a new “Community Heat Action Checklist” to serve as a roadmap to help leaders develop extreme heat plans.
“Climate-fueled extreme heat waves are showing up like wrecking balls in our communities, silently wreaking havoc on lives and livelihoods,” Zaidi said in a statement. “We recognize that this is climate change in action, and in response are taking a comprehensive approach to protecting both our people and infrastructure.” Investments from the Inflation Reduction Act and Bipartisan Infrastructure Law for helping states adapt to the effects of climate change, including extreme heat, total more than $50 billion.
The U.S. Department of Energy’s Office of Clean Energy Demonstrations has committed up to $500 million to help Occidental Petroleum’s carbon capture and sequestration unit 1PointFive develop its South Texas DAC Hub, Reutersreported. The hub will host Oxy’s first large-scale removal facility, which will aim to remove 500,000 metric tons of CO2 per year to start, ramping up to more than 1 million metric tons annually. “Occidental’s first large-scale DAC facility represents a pivotal economic trial for a technology that the International Energy Agency says will play a key role for global industrial decarbonization, despite its high costs in initial tests,” Reuters added.
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A new report takes stock of state efforts to ditch diesel-powered school buses for electric fleets. Both federal and state funding is available to help with this transition. The report, from the Environment America Research and Policy Center and U.S. PIRG Education Fund, finds that California has the most “committed” electric school buses – that is, buses that have been awarded, ordered, delivered, or are already operational. The state has 1,777 e-buses up and running or ready to deploy, and is still waiting on nearly 2,000 more. These buses will serve more than 63,000 students. Also in the top five are New York, Illinois, Florida, and Pennsylvania, but they each trail California by quite a lot. Wyoming and Idaho are the only states with zero electric school buses. The report has lots of recommendations and tools to help school districts upgrade their fleets. It also urges students to pressure school boards to commit to making the switch.
Pharmaceutical companies are racing to get harmful pollutants out of their asthma inhalers, according to the Financial Times. Typical inhalers rely on propellants made from hydrofluorocarbons, or HFCs, to deliver life-saving drugs to users. But HFCs are potent greenhouse gases that are more effective than carbon dioxide at trapping heat in the atmosphere. Pharma giant GSK estimates its Ventolin inhaler accounted for nearly half of the company’s global carbon footprint in 2022, releasing the equivalent of 4.6 million metric tons of CO2. It’s developing a new inhaler that could have a 90% lower carbon footprint. Similarly, AstraZeneca has a new inhaler in the works that could cut 1.3 million metric tons of CO2 equivalent emissions annually. Both companies are trying to file for regulatory approval either by the end of 2024, or early next year.
“Climate change is not a scientific or technical problem – it’s a political problem. And political problems can be solved by voting.” –Andrew Dressler, a climate scientist at Texas A&M, writing at The Climate Brink.
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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.