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An interview with architect Marc Thorpe on building a cool house powered by the sun.
Architect and Industrial designer Marc Thorpe runs a multi-disciplinary studio in New York. His innovative approach to architecture, branding and furniture design for clients including Under Armour, Moroso and Ligne Roset is rooted in the belief in an architecture of responsibility. His original designs aim to be sustainable and affordable. He recently collaborated with Stage Six (who scale social enterprise) and affordable housing social enterprise group, Échale International on a sustainable and ecologically responsible housing development in Uganda. Each home, constructed of soil bricks, has its own water tower to collect rainwater in case of drought.
I spoke with Marc about Fremont House, he and his wife’s concept home built to showcase how off-grid living can be both stylish and affordable. Our conversation has been edited for length and clarity.
What is your general architecture approach/design?
Our approach is straightforward, simple, and legible. In the case of the several homes I’ve built upstate, it’s really been more about just trying to bring some degree of taste and sophistication to the language of architecture upstate using local vernacular. But at the same time, I’m approaching it utilizing renewable technology. The short of it is to keep everything tight and local, integrate renewable tech, and push for that 100% win/win.
Marco Petrini
How did you achieve this at the Fremont House?
We wanted to test out the solar concept along with the rectilinearity of the house. How can we keep the house as passive as possible so it doesn’t lose heat and cooling?
To start, we made the entire house solar-powered. It is not tied to the grid out of the gate. So, a zero dollar energy bill. The panels are all on the roof and are designed to accommodate southern exposure. The solar powers everything — lights, internet, appliances.
We all focused on the rectilinearity of the house, which is a passive move. We used platonic forms as a square, with 90 degree angles which make for an easier opportunity to lock it up and not lose cool. It’s also naturally cross-ventilated. There is no AC in the house whatsoever.
It’s heated with a wood burning stove and an energy efficient dyson heater inside the utility room which provides heat for piping and is always maintained at 55 degrees.
In winter, we make a fire, and because it’s square, the house doesn’t lose energy. It’s easier to heat than a house with different angles. Also the house has very few windows, so we are not losing heat that way.
Marco Petrini
How did you adapt the design for different seasons? Doesn’t it get boiling hot in summer?
Summer doesn’t get boiling hot here. The house is between Roscoe and Callicoon, New York, near Lake Tana. The area stays cool and rarely gets above 80 degrees. The cross ventilation allows the heat to move through the house naturally, it rises and goes straight out the window.
It’s also possible, if you need it, to put in an electric heat pump and a mini-split would provide AC.
Your Habitable score shows … wow, you barely have any climate risk! Not even for heat! Were you aware of that when you built here?
I didn’t know this when we were building, but I always knew the climate was super moderate here. There is lots of rain, lots of sun. It’s sort of a perfect place and also gets a lot of snow.
What decisions did you take to build the Catskill House for its environment?
We mostly had to work around hot and cold.
Also the roof panels are black and the roof is black so it retains heat. And when there is snowfall on it, the black has a faster heat coefficient to warm the snow so it melts quicker. The roof also is on an angle so the snow will fall right off — a natural cleaning too.
Marco Petrini
What would you have done differently now that you are living in it?
We finished Fremont House at the end of last year. So as of December 1, it will have been one full year.
Lessons learned? Its’ a two-story. In the future, we will build a one story. There’s just an ease of access to the roof when you need to get up there. Cleaning windows on the second level is a pain.
Otherwise, everything works perfectly. In the dead of winter, the house can heat up from freezing to 70 within a few hours. It has a small footprint, only 1,000 square feet (500 up and 500 downstairs) so a fire warms the whole house.
For the next house we do in North Branch that we are building to sell, we will execute a lot of these lessons. We will use the same approach and build according to the same concepts.
What are your three top takeaways for people who want to live off grid
1. Just take the position of being autonomous. Understand that you don’t need to rely on the system, on the grid. You don’t need to rely on anything. You can take responsibility for yourself and do it on your own.
2. You don’t need to sacrifice design to have a sustainable home. There’s a stigma around some of this stuff that is unjustified. It’s possible to have a well-designed home that is fully functioning without the powers pushing fossil fuels as the only solution.
3. There are so many opportunities to get off the grid: solar, geothermal, and other technologies. It’s worth the effort.
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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.