You’re out of free articles.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
Sign In or Create an Account.
By continuing, you agree to the Terms of Service and acknowledge our Privacy Policy
Welcome to Heatmap
Thank you for registering with Heatmap. Climate change is one of the greatest challenges of our lives, a force reshaping our economy, our politics, and our culture. We hope to be your trusted, friendly, and insightful guide to that transformation. Please enjoy your free articles. You can check your profile here .
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Subscribe to get unlimited Access
Hey, you are out of free articles but you are only a few clicks away from full access. Subscribe below and take advantage of our introductory offer.
subscribe to get Unlimited access
Offer for a Heatmap News Unlimited Access subscription; please note that your subscription will renew automatically unless you cancel prior to renewal. Cancellation takes effect at the end of your current billing period. We will let you know in advance of any price changes. Taxes may apply. Offer terms are subject to change.
Create Your Account
Please Enter Your Password
Forgot your password?
Please enter the email address you use for your account so we can send you a link to reset your password:
On the U.S. Postal Service’s wonderfully weird shift to electric cars
When you think of a gas-guzzler, what comes to mind is probably a gigantic pickup like the Ram 1500 TRX, which gets a combined 12 miles per gallon, or a sports car like the Ferrari Daytona, which manages a less-than-impressive 13 mpg. But you may not think about a vehicle you’ve likely seen a thousand times: the small trucks driven by most local mail carriers, known as the Grumman Long Life Vehicle. They lived up to their name, since they’ve been in service since the mid-80s; the newest of them were built 30 years ago. But they get an abysmal 9 miles per gallon, burning fuel by the tankful and spewing emissions as they go about their appointed rounds.
So after a long and winding journey to a replacement for the LLV, the first of the Postal Service’s Next Generation Delivery Vehicles — most of which will be electric — just hit the road. And they are beautiful.
Oshkosh Defense
This may not be a widely shared opinion. Indeed, some will find the NGDV downright ugly, and they won’t exactly be wrong. But the new postal truck’s weird appearance — many have remarked that it looks like a duck, or something from a Richard Scarry book — is what, I predict, will make it iconic. In addition to bringing a touch of whimsy to your neighborhood, the NGDV will advance the cause of vehicle electrification much more than you might expect.
Postal delivery vehicles were always a no-brainer for electrification: They do a lot of stopping and starting, they follow fixed routes so they can charge at a single location, and since the existing fleet uses so much gas, electrifying them will make a real dent in the nation’s emissions.
The old trucks didn’t just add to our nation’s carbon emissions, they got no love from the workers who drove them. If you’ve noticed your mail carrier sweating profusely as they bring letters to your door in the summer, it’s not just because they have to carry that heavy bag up and down the street. It’s also because their creaky, uncomfortable vehicles have no air conditioning. In 2024.
“It felt like heaven blowing in my face,” said one carrier after trying out the NGDV, which does indeed have air conditioning, along with many of the safety features, including backup cameras, antilock brakes, and airbags, that are common in modern cars but the LLVs lacked. The new truck also looks unusual because it solves many of the problems the old vehicles pose for letter carriers. The truck had to be tall enough to allow them to stand up in the back, so they won’t have to hunch over the way they do now. It had to be low to the ground so they can get in and out easily dozens of times in a shift. It had to have a big enough windshield for the shortest and tallest carriers to see out comfortably.
Oshkosh Defense
All that meant that the NGDV wound up looking like no other vehicle. Once they are fully deployed — the current plan is to put 60,000 into service over the next few years — their unique profile will become familiar to everyone. And it’s important that this strange electric vehicle will be associated with the Postal Service. Because people love the Postal Service.
That might be a surprise given familiar complaints about lines at the post office. But it turns out that when surveys are taken, the Postal Service always ranks at or near the top of public approval among federal agencies. A recent Pew Research poll put the USPS’s approval at 72%, behind only the National Park Service. Gallup polls show them at the top. A 2020 survey by the department’s Inspector General found 91% of respondents saying they had a positive view of the USPS.
Perhaps people have a sense that what the Postal Service accomplishes is nothing short of miraculous. They move over 300 million pieces of mail every day, and deliver to 167 million addresses. They’ll pick up a letter at your door, take it anywhere in the country by land or air or water, and deliver it right to your Aunt Myrtle in the space of a few days — and not for $50 or $100, but for 73 cents. It costs the same whether that letter is going to Atlanta or Alakanuk. As U.S. law states, the purpose of the Postal Service is “to bind the Nation together through the personal, educational, literary, and business correspondence of the people.” The USPS is nothing less than a national treasure.
Maybe people appreciate that, or maybe it’s just that most of us like getting mail, and our mail carriers are part of our communities (and usually friendly). In any case, the new electric vehicles will be associated with all the positive feelings people have about the USPS.
Which is why it’s fine — and maybe even better — that the NGDV is odd-looking, or even ugly (but in a charming way). One prevailing theory about EV adoption — advanced by Tesla’s Elon Musk and embodied in other vehicles like the Ford F-150 Lightning — is that the way to get people to buy EVs is to make EVs that are cool. It’s a valid perspective, but another way to think about the long-term goal of transportation electrification is that EVs ought to be in as many places and as many forms as possible. If you want to normalize them, what better way than to have a funky-looking EV rolling down your street every day, delivering mail to your door?
It may be a while before you spot an NGDV in your neighborhood; among other things, it will take time to install the charging infrastructure at all the postal facilities necessary to electrify the entire delivery fleet. After all, one of the things that makes the Postal Service such a vital part of our national life is that it touches Americans, and delivers to them, no matter how far-flung they are. At least at first, we may be more likely to see electric delivery vehicles in big cities than in remote rural areas.
But before long, the NGDV could become the most widely recognized EV in the country, and one that people associate with service, community, efficiency, and patriotism. And yes, they look weird. Which is part of what makes them great.
Log in
To continue reading, log in to your account.
Create a Free Account
To unlock more free articles, please create a free account.
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.