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Will America’s luck hold in 2024? The oddsmakers — that is, scientists — have a bad feeling.

Are you feeling lucky?
Americans are. Close to two-thirds say they’ve gambled in the past year; the sports pages are filled with headlines detailing the fallout of various investigations and scandals. But while there isn’t exactly a bookmaker for something like the Atlantic hurricane season, meteorologists around the country are feeling pretty good about their bets this time around.
“We could be extremely wrong and only have two hurricanes,” Philip Klotzbach, one of the authors of the Colorado State University’s 2024 forecast, which came out earlier this month and predicted a whopping 23 named storms, told me. “But I think the odds of that this year are very low, just because the Atlantic is so warm.”
Traditionally, early spring is when Americans begin to hear from agencies and universities about the upcoming Atlantic storm season. That won’t peak for another four or five months, and from the safety of April, it can be tough to muster concern about what late summer might yet inflict upon the nation’s coasts.
Still, the trickle of headlines this year has been nothing short of alarming. In addition to CSU’s prediction, North Carolina State University issued a forecast of between 15 and 20 named storms in 2024, meaning we could potentially tick well above the 1991-2020 average of 14 per year. On Wednesday, the Weather Channel upped the ante with a new estimate of 24 named storms. AccuWeather Lead Hurricane Forecaster Alex DaSilva told me his team estimates there is a 15% chance of 30 or more named storms this year — enough to break the record set in 2020 and exhaust the World Meteorological Organization pre-prepared list of 21 storm names, forcing it to dip into its new and never-before-used “supplemental” list.
Meanwhile, the National Oceanic and Atmospheric Administration is busy putting together its own forecast, a massive, multi-agency collaboration between the National Climate Prediction Center, the National Weather Service, the National Hurricane Center, and NOAA’s Atlantic Oceanographic & Meteorological Laboratory. While the government’s final prediction is still a few weeks away from being made public in May, Matthew Rosencrans, the lead hurricane season forecaster at NOAA’s Climate Prediction Center, told me the agency’s ocean team has been providing monthly briefings on the Atlantic’s record warmth to the forecasters. Of particular concern to the teams is the fact that even if the summer sea surface warms at the lowest rate of any year since 1980, 2024 will still be in the top four of all sea surface temperature years since then.
Michael Lowry, the hurricane and storm surge specialist at Miami’s WPLG Local 10 News, told me this is what has him the most alarmed. “I struggle to find a good language to say how extreme and unprecedented it is, but it’s extreme and unprecedented and almost scary, the amount of warmth that we’re looking at in the Atlantic,” he said.
Warm water, of course, is hurricane Red Bull — it can increase a storm’s destructive potential, taking forecasters by surprise. In addition to the waning El Niño and the likely start of a La Niña — which will make the wind conditions more favorable to Atlantic storm formation — all the agencies I spoke with cited the sea-surface temperatures as a concerning complication in their predictive models. Klotzbach, the CSU researcher, told me the record-warm water gives him more confidence in his models than he would otherwise have this early in April because of the strong correlation between warm waters and storm formation; DaSilva, at AccuWeather, told me it is these same temperatures that have made him concerned about the potential for rapidly intensifying storms like Hurricane Ian in 2022.
Kerry Emanuel, professor emeritus in atmospheric science at MIT, was not as impressed by the predictions, however. Putting a numerical estimate on how many hurricanes will form in the North Atlantic in a given season is “not really very interesting or practical,” he told me. “If you’re a gambler, and you’re placing a bet, OK — but if you’re a coastal resident, what you really care about is relatively intense landfalling storms.”
The more storms there are in the Atlantic in a given season, the more likely intense storms will make landfall — “but not a lot” more likely, Emanuel stressed. Because of that, when it comes to making hurricane season predictions, “I wish NOAA would knock it off because it’s intentionally misleading,” he said.
Emanuel wasn’t alone in his dismissal of the seasonal forecasts. “I’ve got to be straight with you: I think they have limited utility,” John Cangialosi, a senior hurricane specialist at the National Hurricane Center, who focuses more on tracking storms as they form, told me. “It’s sort of like in Powerball, when someone sees $30 million and is like, ‘I’m going to play if it’s $5 million or not,’” he added. “It’s so damn silly. You need to worry about this no matter what.”
That’s because describing hurricane seasons as “quiet” or “active” is really a matter of perspective, even if it makes for good headlines. For example, most people consider 2023 to have been a quiet year since almost no major storms made landfall on U.S. coasts. “But it was a very busy season; just fortunately, most of the storms stayed out at sea,” Klotzbach, of CSU, told me.
In a sense, America merely got a lucky break. While Hurricane Idalia, the strongest storm to hit Florida’s Big Bend region in 125 years, made landfall in 2023, its greatest impact was in a sparsely populated area, leading to limited damage and loss of life. On the other hand, 1992 was technically a “quiet” year for hurricane formation, but all it took was one storm — in that case, Hurricane Andrew, which killed over 60 people and was one of the costliest storms in U.S. history — to cement it in our collective memory.
Further complicating the picture that hurricane forecasts paint is, of course, climate change. The combination of record-warm Atlantic waters and a forecast for an active year makes it tempting to tie the two together. “The human mind is so good at pattern recognition that it wants to attribute a cause to every effect,” Emanuel, the MIT professor, said.
But there’s a whole cocktail of factors driving the Atlantic’s bonkers-warm temperature, including the aforementioned El Niño, which is just part of a naturally occurring global weather pattern known as ENSO; the decreasing presence of sulfur dioxide aerosols, which have a cooling effect; the Tonga volcano eruption, which might have had a temporary warming effect; and yes, greenhouse gas emissions. The lack of clarity around this larger picture has led some researchers to sound an alarm about the urgency of sharpening our understanding; climate change, however, can only confidently be credited with a small portion of the current anomalous spike in sea surface temperatures, which in turn only explains only about 35% to 40% of the changes in tropical cyclone activity.
“It’s not fair to say climate change has caused record warmth, which has caused record hurricanes,” Cangialosi, at the Climate Prediction Center, said. “Because, guess what? Next year we could be in a cool phase — and then where did climate change go?”
That’s far from saying climate change isn’t a factor at all; we just need to be careful with our scales. Besides, there are things we know are directly connected to climate change — like rising sea levels and increased rainfall — that will make hurricane landfalls deadlier in the coming decades.
Hurricane forecasts aren’t totally useless, either. For one thing, they have enormous scientific value, helping researchers better understand the amalgamation of conditions that go into the formation of a major tropical storm. Lowry, the Florida-based meteorologist, also joked they can help confirm that “my job may be a lot busier in the next few months.”
There is a public value, too: Headlines inarguably help keep the approaching season top-of-mind. This is especially important for the masses of new residents who have recently moved to the Gulf Coast and Southeastern shores — undeterred by subsidized insurance rates that don’t properly warn of the region’s risk — and might lack knowledge of how to prepare for the season.
After all, Mother Nature ultimately has the house advantage. And while America was spared a catastrophic storm in 2023, luck has a funny way of running out.
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What 700 math problems say about the AI economy’s biggest open question
This is Heatmap Daily, an evening news digest written by our executive editor. Subscribe here.
Happy Monday and welcome back.
It’s been a big weekend: I’m fairly certain Saturday Night Live mentioned Heatmap’s data center polling in one of its Weekend Update segments over the weekend. Watch here.
There are 22 days to the midterm elections here in the United States. We’ll soon enter that pre-election wormhole where only national politics can break through. So today I wanted to look at a story that might, on its face, seem like it has nothing to do with climate or energy. And warning: It’s a little bit of a weird one.
Last week, OpenAI released what it described as the solution to more than 700 open problems in mathematics. Many of the problems, such as the Quasi-Riemann hypothesis, had gone unsolved for decades. Some of the solutions came with proofs written in the programming language Lean.
The release made a stir in part because OpenAI had reached the solutions by using an internal model — that is, a version of ChatGPT not yet open to the general public. In a statement, the Association for Human Mathematics lambasted OpenAI for using an internal model to do research, violating what it described as a precept of AI-driven math research. (I’ve since seen speculation that OpenAI may not have even meant to solve the problems, but gave them to the internal model as a test … and then got the answers.) It’s also not clear whether all of OpenAI’s 700 solutions are correct — in many cases the proofs are so intricate that mathematicians are still wrapping their heads around them.
“There are some sad stories related to their users getting scooped [and] conflicts of interest,” Levent Alpöge, a mathematician at Anthropic, posted on X. “It’s obviously the most significant moment in mathematical history.”
On Friday night, the UCLA mathematician Terence Tao gave a pre-planned lecture at Caltech about what he called “Math 2.0”; it considered the revolution the field had seemingly undergone in the previous few days. (He posted the slides to his blog over the weekend, and I’m using them to summarize his talk here.) For most of math’s history, he said, the field operated under “proof scarcity,” in which finding a solution to an open math problem and confirming it as true was “difficult and rare,” requiring “significant human expertise.”
But AI, it has turned out, is well suited to solving math problems. This is partly because math, like the large language models themselves, is entirely conceptual, so confirming a proof as true requires no recourse to the physical. But it’s also because math’s solutions are “objectively verifiable”: “There is broad consensus on what constitutes a correct and complete proof of a given problem,” and thanks to the existence of proof programming languages like Lean, they can even be checked by computer.
The end result is that math is now entering a world of “proof abundance,” he said.
That is, perhaps surprisingly, a problem for math’s practitioners, and it will mandate a new intellectual regime for the discipline. Mathematicians have often used open problems as “lighthouses,” Tao wrote, “not destinations to be reached … but useful guides to explore the mathematical landscape.” Mathematicians often learn more in the solving than in the solution, in other words. But if mathematicians can now generate shortcuts to math problems without knowing how they got there, or even how the problem works, then actual human mathematical understanding will suffer. (One way to understand this is that mathematicians are now dealing with the same problem that math teachers have faced since the invention of the pocket calculator: How do you confirm students actually understand the material? Except the world’s most elite mathematicians themselves are the students in question.)
This disconnect can pose its own AI alignment problems, Tao said, analogizing math to pharmaceuticals. Suppose an advanced AI found what appears to be a cure for cancer that can pass a stage 3 clinical trial: “After a large amount of compute, it produces a cocktail of previously unknown chemicals which it claims, when mixed and injected into a patient, will kill all their cancer cells,” he said. It even generates a programmatic proof of the cocktail’s effectiveness.
“Before injecting this cocktail into your bloodstream,” he asked, “would you find it reassuring to know that there is at least one human cancer expert who understands — even partially — the mechanism behind this cure?” If not, you can see mathematicians’ problem, confronted by a surfeit of proofs that seem to work, but nobody who can explain how or why they do.
Now, Tao’s analogy is somewhat peculiar because something like this actually does happen all the time in medicine: Doctors still don’t fully understand how many drugs work, including acetaminophen, SSRIs, and lithium. (That said, those compounds were identified by trial and error, not by a mechanical superintelligence.) But the broader situation that Tao is painting — as well as the crisis posed by OpenAI’s 700 proofs — get at a significant question with economic importance far beyond just math: Will AI solve the economy’s secular attention shortage or worsen it?
This question has greater import than it may seem — but let me qualify what I mean by “attention shortage.” Writing in 1971, the economist Herber Simon observed the sudden superabundance of information that had exploded in every economic domain. There were more facts, data, news articles, and opportunities than any individual or organization knew what to do with. He pointed out that this newfound “wealth” of information implied an insufficiency of something else: attention.
“What information consumes is rather obvious: it consumes the attention of its recipients,” he wrote in Designing Organizations for an Information-Rich World. “Hence a wealth of information creates a poverty of attention and a need to allocate that attention efficiently among the overabundance of information sources that might consume it.”
He wrote this, of course, well before the advent of internet, smartphones, sensors, or networked cameras — all of which have worsened the problem. But in the ensuing half century, the economy has learned to deal (or at least intermittently manage) this secular scarcity of attention. Much of what we now call knowledge work is devoted to filtering, siphoning, processing, and otherwise attending to the information superabundance.
AI is, in theory, supposed to help address this same set of problems. AI is commodified attention — or, at least, that is its promise. (The most important machine learning paper of the past decade, after all, is entitled “Attention Is All You Need.”) Many AI products, such as Meta’s Muse, now want you to believe that by ceding control of your email, your calendar, your restaurant reservations, and your digital life to AI, you will gain an attentional edge. The AI will do the grunt-work of attending to boring things for you, and you will feel less overwhelmed. If this vision comes true, the economy’s mismatch of information and attention will prove to be a short-lived historical blip.
But the past week of math news and Tao’s “Math 2.0” regime suggest a different scenario is more likely, at least in the immediate near term. By allowing far faster and more automated information production, AI will create a new, more vicious, and even more abstract form of information overload. Every profession and intellectual discipline will be overwhelmed with new papers, ideas, observations, proofs, or choices. Yet the human understanding required to convert this new information into useful action will become even more scarce. In such a world, AI will not solve the economy’s attention shortage, but worsen it.
I’m not sure which world would be worse for humanity, to be candid. One world suggests the eventual automation of all human effort. But in Tao’s world, many of us might still have jobs — they will just involve even more filtering, sorting, and processing of an ever-deepening pile of automated idea generation than we do today.
And what is the connection to climate and energy? One easy connection might be to the permitting process: If you think a new transit line (at the local level) or transmission line (at the state or federal level) could be overwhelmed with procedural concerns 10 years ago, wait until you see what happens when information itself can be mechanically produced. But that is only one example of a more general problem. Soon, if not already, any process of providing input to an important policy question — on energy, decarbonization, or anything else — will be overwhelmed with facially high-quality analysis. It will be left to policy officials and elected leaders to sort through it.
This past weekend’s storms caused flooding and property damage up and down the coast — and it’s going to get worse.
California has around 3,400 miles of shoreline, ranging from the wild, foggy beaches of the North Coast to the sunbather-studded sands of Orange and San Diego counties. That’s a whole lot of border to share with the Pacific Ocean, especially when the water is as hot and tempestuous a neighbor as it is right now.
Just ask the city of Long Beach, which this weekend was on the receiving end of some Super El Niño mischief. Swells from the storm briefly dubbed Hurricane Rachel “annihilated” beachfront mansions and flooded city streets, causing pieces of the local boardwalk to “shred away.” “It’s never happened like this before,” one resident of 64 years told the New York Post.
But while things might look bad in California at the moment, they can still get much worse. One disaster modeler recently estimated the state could see as much as $3 billion in flooding and mudslide-related losses alone this winter — not to mention coastal erosion, king tides, and storm swell. Governor Gavin Newsom declared a state of emergency at the end of September, while many cities, including San Diego, have declared their own local emergencies.
El Niño will likely peak in December, meaning that towns and cities across the state have just a few remaining weeks to finalize projects, whether that means improving drainage in landslide-prone environments such as Rancho Palos Verdes or distributing NOAA weather radios in areas likely to lose power, as emergency managers are in Santa Cruz. The approaching winter storms, combined with El Niño, represent “a humbling reminder of the ongoing effects of climate change and the importance of emergency preparedness,” Laath Martin, the public affairs lead for the city of Long Beach, wrote to me in an email.
El Niño is a cyclical phenomenon, occurring when temperatures in a particular stretch of the Pacific Ocean rise half-a-degree Celsius above the average of the preceding 30 years. But there are signs these natural variations are happening less predictably because of climate change, and we know for sure that a warmer atmosphere makes the baseline for its impacts worse: king tides, Kelvin waves, and storm surge piggyback on top of rising sea levels to result in more severe coastal flooding and erosion. A warmer atmosphere also holds more water, which means more rain — perhaps 200% above normal — which, in turn, results in flooding and mudslides further inland, as well.
“Based on what I am seeing now, I am officially concerned,” Daniel Swain, a climate scientist at the University of California Agriculture and Natural Resources, said last week after reviewing the latest outlook. There’s a reason this year’s El Niño is being called a Godzilla.
In general, the weather pattern causes the jet stream to shift south in the winter, bringing wetter and snowier conditions to the lower U.S. while the northern part of the country stays drier and mild. (It’s also responsible for a weaker Atlantic hurricane season, as we’ve already seen this year.) In addition to El Niño-driven Kelvin waves, warm bulges of water that raise the sea level on the coast by as much as 18 inches, the state of California — and particularly southern California — sits directly in a storm track that will deliver “atmospheric rivers” of heavy rain to a region prone to landslides and flash floods.
In many parts of the state, that rain will test the best-made plans in addition to plans deferred. In Los Angeles, the Department of Sanitation and Environment, or LASAN, has told the City Council it has concerns about the ability of the aging wastewater pipes and plants to handle heavy rainfall associated with a supercharged El Niño. In San Diego, which requires some $3.3 billion to upgrade what is in some places a century-old wastewater system, emergency managers are preparing to work with what they have by clearing debris and brush that could back up in the drains, CalMatters reports. In both cases, the time required for systemwide repairs far exceeds the time remaining before the winter’s supercharged atmospheric rivers are due to arrive. (Rezende told me inland flooding affects more businesses and residents in San Diego than coastal flooding, since the population in the city is set further back from the coastline.)
The city of Roseville, northeast of Sacramento, by contrast, is leaning on decades of flood planning to get through the season. After a series of back-to-back storms in 1986 that killed 13 people and caused $400 million in damage, the city and FEMA invested $39 million to upgrade Roseville’s infrastructure, including widening streams and adding levees and stormwater bypass channels. With more accurate floodplain modeling that has “helped keep new construction at higher elevations,” Helen Dyda, the city manager’s public information officer told me that “less than 7% of the city is within a floodplain” today. Dyda added that the city prepares for winter storms every year — it has some 160 miles of creek shoreline, after all — but that the El Niño-specific preparations are, as a result, more similar to routine maintenance: “clearing more dense vegetation and fallen trees from key creek areas.”
Long Beach is caught somewhere in the middle. After swells from Hurricanes Marie and Polo hammered the city in September, Long Beach hastily developed a seven-point plan to strengthen its peninsula in the near and long term. It will also begin a $11.4 million dredging project this fall that will place 415,000 cubic yards of sand on the beach as a buffer zone. “While this effort will achieve a much-desired result, it will not stop the ocean from pulling sand from the peninsula with every wave, especially during the significant weather systems Long Beach continues to experience,” Martin, the city’s public affairs lead, wrote to me. “Back-passing will need to continue to return sand back to the peninsula each day until more permanent, long-term man-made and environmental solutions can be identified, permitted and implemented.”
In certain cities, preparations for the peak of El Niño overlap with ongoing repairs from the last bad storm season. In Santa Cruz County, the 2016 El Niño caused an estimated $9 million in damage, while many in the community of Pajaro are still recovering from the flood damage caused by a series of severe atmospheric rivers in 2023. “We have a list of hazards that the city is vulnerable to, and we plan for all of them not individually, but all together,” Meredith Albert, Santa Cruz’s emergency management manager, told me. She added that many of the city’s preparedness activities and El Niño initiatives, like urging the community to be prepared to spend 72 hours unsupported, overlap with other disasters it works year-round to prepare for, like earthquakes, landslides, and wildfires.
“El Niño turns up the volume a little bit, but it doesn’t necessarily change our hazard landscape,” is how Albert put it to me.
Santa Cruz has not declared a local state of emergency, and Albert told me they won’t until they “run out of resources.” Other cities, like San Diego, have declared one preemptively. “In the past, you’d have to go through a longer review if you wanted to make some headway on projects, and sometimes that would take many weeks or many months of permitting,” Rezende said. “With a state of emergency, we streamline that process and get projects in the queue.”
Both Rezende and Albert told me the governor's statewide emergency declaration mostly helps state agencies position themselves for a faster response or has implications for higher-level permitting processes. (In Carlsbad, for example, which has seven miles of badly eroding beach, just one mile is controlled by the city; the other six are managed by the State Parks.) The state has also teamed up with ICEYE, a satellite imaging company, to receive information about flooding even in the dark or through rain clouds.
No state of emergency, though, can make it so a city can replace a century-old sewer system by Christmas or reengineer a beach by the time January’s storms begin to make landfall. But if a Godzilla analogy fits the onslaught of a super El Niño, it also offers a classic disaster-movie lesson on how to survive it.
Albert’s advice for how to prepare? Ask a neighbor for a cup of sugar. Take their dog for a walk. Build a relationship that could prevent a tragedy. “We know that our city will be cut off for at least a couple of days,” she told me of a hypothetical major disaster, referring back to Santa Cruz’s experience after the 1989 Loma Prieta earthquake, which cut off the city’s power, communication, and supply lines. “And we also know that we can’t build those relationships during the disaster. We’re trying to build them before.”
The city is doing a lot to prepare for the storm, she said. “But the question is also, what are all of us doing?” Albert went on. “You know better than I do, at the city level, who’s not going to receive that alert,” whether that be an elderly or unhoused neighbor or a nonnative English speaker who might not receive or understand emergency communications.
“Check in on a neighbor” is easier said than done — active engagement and connection to one’s community is trending downward in most parts of the U.S. But the people and places that bounce back from disaster and tragedy are almost uniformly the ones that look after each other. Borrowing a cup of sugar, to this introvert, sounds like a nightmare. But there’s never been a better time than a Godzilla El Niño to bake a poorly resourced cake.
Heatmap News is looking for an ambitious, energetic senior editor to join our growing newsroom.
The senior editor will report to the deputy editor of the website and will be tasked with assisting in running all aspects of our coverage. This individual will be the primary editor on many of the site’s stories, including breaking news, features, and long-term projects, on topics ranging from permitting reform to decarbonized fuels to greenhouse gas accounting to the electric vehicle market. This person will also play a role in overseeing and furthering our cross-platform efforts such as newsletters, events, and podcasts. Additional duties will include managing and maintaining the site’s social media presence and digital production on stories, newsletters, and podcasts.
Candidates should be intellectually curious news junkies with a deep interest in climate change and the energy transition. They should have a proven ability to work in a fast-paced digital newsroom, spot great angles, line edit stories, and change hats quickly as needed. They should also be responsible, reliable, and a good colleague.
Candidates should have 5+ years experience editing for a digital publication. A background in climate or energy coverage is an obvious plus, but compelling candidates from other verticals, particularly politics and business, will also be considered. Heatmap is a fully remote workplace, so candidates from all U.S. locales are encouraged to apply.
Above all, candidates should be passionate about Heatmap’s mission and absolutely thrilled about building something from the ground up.
The salary minimum is $100,000 and the maximum is $120,000. Competitive benefits, unlimited paid time off, and a generous equity plan, which gives employees a real stake in the company, are also offered. This position is remote.
Interested candidates should send a brief cover letter and resume to editors@heatmap.news with the subject line ‘Senior Editor Application.’
Heatmap News is a media platform focused on the energy transition.
Heatmap News is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by applicable law.
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