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In the latest, Scott and Bob talk about the history of the Democratic centrists waging war on the left flank in the party for corporate interests, how it led us…

However, “rising gas turbine costs and supply shortages are already making new gas plants more expensive and slower to build,” David Villagrana, EDF’s lead counsel for clean energy tax solutions, told Utility Dive.

Registered nurses at Ascension Via Christi St. Francis and St. Joseph hospitals in Wichita, Kansas, voted overwhelmingly in favor of ratifying a new three-year contract today, winning protections to improve patient safety and nurse retention.

The third quarter of 2026 showed AFSA operating across the full landscape of Africa’s food systems transformation. From parliamentary chambers and continental policy processes to farmer fields, media spaces, youth platforms and international forums, the work moved steadily between ideas and action. The Pan African Parliament’s decision to advance a continental Model Law on African Food Policy created an important opening for greater coherence in how Africa governs food, agriculture, health, trade and the environment. At the same time, AFSA strengthened advocacy for farmer managed seed systems, challenged provisions in the proposed East African Community Seed and Plant Varieties Bill, and continued pressing for laws that recognise farmers not as beneficiaries of seed systems, but as their custodians and rights holders.

The quarter also placed difficult questions about finance and agricultural development firmly on the table. At the Africa Food Systems Forum in Kigali, through the release of The Green Revolution Has Failed Africa, and in AFSA’s support for the Food, Land & Money report, a consistent question emerged: who controls the resources shaping Africa’s agricultural future, and whose interests do those investments ultimately serve? These interventions were matched by practical alternatives. In Yaoundé, 198 participants from the six Congo Basin countries adopted a regional action agenda for agroecology, biodiversity and climate justice. In Kenya, farmers, scientists and development partners advanced plans for an African agenda on locally produced biofertilisers. In Tanzania, researchers, farmer organisations and policymakers examined how evidence can better influence policy, while a new urban agroecology learning series began connecting practical experiences from African cities.

Climate action was another defining thread. In Ethiopia, AFSA connected negotiators and civil society directly with agroecology in practice before convening more than 130 participants from 33 countries to shape a common African civil society position towards COP31 and COP32. In Harare, AFSA entered the technical spaces where the next decade of CAADP implementation will be measured and financed, defending the place of agroecology in national and regional investment plans. At the same time, 24 journalists from 15 countries were equipped to investigate the science, seed politics and financial flows behind African food systems, while young agroecology entrepreneurs used International Youth Day to demonstrate that ecological farming can also generate livelihoods, innovation and opportunity. The Battle for African Agriculture podcast carried these conversations further, connecting science, policy, women’s experiences, environmental leadership and African knowledge with wider public debate.

This was also a quarter of profound loss. The passing of Sena Alouka, founding Chair of AFSA’s Climate and Agroecology Working Group, touched the entire movement. His life embodied many of the values reflected throughout this edition: belief in young people, courage in confronting harmful systems, faith in African knowledge and the conviction that organised communities can change their future. His absence is deeply felt, but the work carried across these pages is also part of the legacy he leaves behind. The third quarter therefore closes with both achievement and responsibility: important doors have opened, stronger alliances have been built and clearer alternatives have been articulated. The task now is to carry that momentum forward and ensure that Africa’s food systems are shaped increasingly by the people who grow, protect, prepare and depend on its food.

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Today’s Consumer Price Index (CPI) report shows prices rose 0.6% in September and are up 3.7% over the past year, the fastest pace since May. Gasoline prices jumped 9.1% in September alone, accounting for over half of the monthly increase in overall prices, and are up 34% from a year ago. Core CPI, excluding food and energy, rose 0.33% in September, the largest monthly increase since April.

Americans are increasingly frustrated with Trump's failure to bring down high prices. Consumers' views of current economic conditions are at an all-time low, and 82% of Americans disapprove of Trump's handling of the cost of living. Instead of working to rein in inflation, Trump is trying to pull a fast one on voters, spewing empty promises to bring prices down and send Americans a $5,000 “Trump dividend” if Republicans hold Congress, despite having never delivered on the DOGE and tariff checks he promised last year.

Today's inflation report is the last before the Federal Reserve's October 28 interest rate decision. The Fed raised interest rates last month for the first time in three years because of inflation concerns, and most officials anticipate another increase by the end of the year. In its latest meeting minutes, the Fed pointed to Trump's tariffs and higher energy costs, as well as the president’s never-ending war with Iran, as drivers of persistent inflation. Trump’s war and tariffs are raising the prices of nearly everything families buy, and now his actions are raising borrowing costs for families, too.

Groundwork’s Senior Vice President of Policy, Advocacy, and Research Alex Jacquez, released the following statement:

“It’s no wonder Americans have lost faith in Trump’s economy. The president has repeatedly made promises he can’t keep, and despite the band-aid attempts from the White House, there is a gaping hole in our economy just weeks from the midterms. Between the president’s war in Iran and reckless tariffs, his economy is on life support.”

The following statement was issued by Richard Fiesta, Executive Director of the Alliance for Retired Americans, regarding the announcement that there will be a 3.6% cost-of-living (COLA) benefit increase for millions of Social Security beneficiaries next year:

“Millions of Americans who rely on Social Security welcome any increase in their monthly benefits, but even this larger-than-normal cost-of-living increase is just not enough to keep up with the cost of food, gas, utilities, and prescription drugs.

“The average retired worker will see about $74 more per month next year but a good chunk of that will be wiped out by the higher Medicare Part B premium, which is projected to rise to $209.50 a month in January.

“Strengthening and expanding Social Security must be a national priority. If billionaires and the wealthiest 1 percent pay their fair share, we can boost benefits for everyone, implement a COLA that reflects the cost of things older Americans spend money on, and guarantee the program’s solvency for future generations. It’s time for clear and decisive action.

“In just three weeks, older Americans will have an opportunity to elect members of Congress who will make strengthening Social Security a priority. The future of our earned benefits is on the ballot.”

The UK government warned the Carbon Capture and Storage Association’s (CCSA) annual conference on Tuesday that the fledgling industry should prepare to receive less financial support from taxpayers in the future.

As the left-wing Labour government, under its new leader Andy Burnham, seeks to boost military spending in line with NATO allies, it is reportedly looking to cut funding for emissions-reduction projects, with subsidies for carbon capture and heat pumps among the projects in the firing line.

Martin McCluskey, a junior minister in the UK’s Department for Energy and Net Zero (DESNZ), told the CCSA conference in Westminster that, while the government supports the industry, “it is no secret that we are operating in a challenging fiscal environment and this government remains committed to meeting its fiscal rules”.

“So I owe it to you today to level with you,” he said. “The next phase of the CCUS (carbon capture, use and storage) programme will be in the context of broader, difficult decisions on funding. We must ensure that public investment is targeted where it can deliver the greatest value while continuing to build confidence in the long-term future of the sector.”

Minister McCluskey speaks at the CCSA conference on Tuesday (Photo: CCSA)

He warned that this may mean “making decisions about priorities, sequencing and pace and recognising that progress will not always happen everywhere at once”. “But this will also mean opportunity as we move beyond first-of-a-kind projects,” he added.

Earlier in the day, the energy ministry’s industrial carbon capture and storage (CCS) lead Stefanie Murphy was asked by an audience member if it had become clear that the government could not afford to support future carbon transport and storage projects at the same level as in the past.

“I think yes,” she replied. “We can all see the fiscal realities that we’re facing,” she said, adding that the government’s top priority is tackling the cost of living and, while it also wants to grow the economy, there are lots of competing priorities for its money.

She urged the industry to reduce costs and demonstrate its benefits in terms of job creation and regeneration of economically deprived areas.

• Oct 23, 2025 News Japan uses “diplomatic muscle” to push carbon capture as fossil fuel panacea Two regional summits led by Japan, with a major focus on carbon capture and storage in Asia-Pacific, have drawn criticism from climate campaigners Read more
• Jan 13, 2026 News Q&A: “False” climate solutions help keep fossil fuel firms in business Researcher Freddie Daley talks to Climate Home News about how fossil energy giants are using green technologies as a way to shore up their power Read more
• Sep 15, 2025 Energy Industry says carbon capture still an expensive last resort to cut emissions Carbon capture players told a recent global conference that the technology remains a costly way to reduce CO2 and needs more government support Read more

Opening the conference, the CCSA’s chief executive Olivia Powis made that case, arguing that CCS “engineers in Teesside, fabricators in Hartlepool, construction workers in north Wales” are “what reindustrialisation looks like”.

Speaking before the government officials took the stage, she warned that “this momentum is not inevitable. The first projects have created confidence because governments made commitments and industry invested against them.”

“If that commitment weakens now, investment and developers will not simply wait. They will go elsewhere. The UK has worked hard to establish itself as a global leader in CCUS. We cannot afford to lose that position just as delivery begins,” she said.

Olivia Powis, chief executive of the CCSA speaks to the conference on Tuesday (Photo: CCSA)

Eoin Devane, acting director of net zero for the UK government’s official advisers, the Climate Change Committee, said the government is relying on CCS to meet its carbon budgets and 2050 net zero target, but has “insufficient plans” to deliver these emissions cuts and there are “significant risks” it will fail.

Necessary but limited

CCS is when carbon dioxide is captured from a concentrated source – like a cement kiln’s exhaust – and then transported by pipeline, train or ship to be stored underground either at sea or on land.  

It is controversial among many climate campaigners, as it is favoured as a solution to greenhouse gas emissions by fossil fuel companies that are keen to keep on making money both by producing more oil and gas and by storing carbon dioxide in reservoirs they have already exploited.

But experts describe it as having a necessary – although limited and expensive role – in the transition to clean energy. Scientists with the UK’s Climate Change Committee and the Intergovernmental Panel on Climate Change’s (IPCC) say it is required to help clean up the emissions of industries like cement and chemical production that are hard to replace with renewable electricity.

But the IPCC also says that CCS is one of the costliest ways to reduce climate-heating emissions. Whereas industries like solar and wind energy are now mostly profitable without subsidies, the CCS industry continues to rely on taxpayers for support.

Northern Lights, the crown jewel of Europe’s CCS industry, was 80% funded and “enabled very much” by the Norwegian government, its managing director Tim Heijn told the conference.

Tim Heijn (right) shows then UK prime minister Keir Starmer (left) and Norwegian prime minister Jonas Gahr Støre (second from right) around Northern Lights’ facility (Simon Dawson/No.10 Downing Street)

The project captures carbon dioxide from emitters across Europe, ships it as a liquid to Norway’s west coast and transports it through a 100km pipeline to be injected into a reservoir 2,600 metres below the seabed.

Carbon dioxide emitters, like cement plants, also receive government subsidies and carbon credit revenues to help them pay to store their carbon dioxide, Hejn added. They can sell their products, like low-carbon cement, for a green premium.

Ways to become financially sustainable

With subsidies in the UK likely to dwindle, panellists at the conference were asked whether – and how – their business could become financially sustainable. 

Cristel Lambton, technical and operations director of Italian oil company Eni’s CCUS arm, said the industry “still needs funding at this stage”. “We all want the CCUS market to be a sustainable market but we can’t just rush towards it,” she added.

Tanisha Beebee, CCS lead at British oil and gas company Harbour Energy, said the shifting economic and political situation had led her company to try and change business models in a bid to reduce reliance on government subsidies and lower its costs. 

Jack Richards, CCS lead at a company called Spirit Energy which wants to repurpose its Morecambe gas field to store carbon, argued that reliance on government funding would ease if there was a higher carbon price, making emitting greenhouse gases more expensive compared to capturing and storing them and therefore boosting demand for CCS. 

Another problem is that the interest of some CCS customers in the UK appears to be waning. Hydrogen-maker BOC, a subsidiary of Linde, withdrew its interest in the Northern Endurance Partnership offshore carbon storage scheme in September 2025. BP also withdrew after cancelling a blue hydrogen project in the region, leaving just one gas-fired power plant called Net Zero Teesside as a customer. 

Waste management company Viridor, however, is still interested in paying for its emissions to be captured and stored. Its CCUS director James Eyton said the timeline for becoming independent of government support is “tricky”, adding that the sale of carbon credits could be a “fundamental alternative revenue source” for the CCUS industry.

The post Carbon capture industry faces tough future, as UK raids green spending appeared first on Climate Home News.

The following is a statement from Nancy Altman, President of Social Security Works, on Social Security’s 2027 cost-of-living adjustment (COLA), which will be 3.6 percent:

“Every year, Social Security’s benefits are automatically adjusted to account for inflation. This is an essential feature of the system, which prevents benefits from eroding over time.

Next year’s COLA can’t come soon enough for many Social Security beneficiaries. The Trump administration's war of choice with Iran and tariff chaos have driven gasoline prices up nearly 40 percent, and caused grocery costs to skyrocket.

The COLA adjustment will help. But it doesn’t fully account for the costs that Social Security beneficiaries face. That’s because the measure used to calculate it, the CPI-W, is designed to reflect the costs of working people — not retirees, who spend a higher percentage of their income on healthcare, housing, and other bare necessities.

Democrats in both the House and Senate have plans to improve the COLA, by switching to a more accurate measure, the CPI-E. Meanwhile, Republicans complain that the current COLA measure is too generous.

Many Republicans, including Speaker Mike Johnson, have endorsed plans to use a stingier measure, the chained CPI. That’s a cut to the American people’s hard-earned benefits.

Over time, switching to the chained CPI, as the Republicans have proposed, would shrink yearly benefits by hundreds and even thousands of dollars. Switching to the CPI-E, as the Democrats propose, would increase benefits. This would particularly impact women and Hispanics, who have longer average life expectancies.

In 2032, within the six-year terms of U.S. Senators elected this November, Social Security is projected to face a funding shortfall. The vast majority of Republicans refuse to support a single penny in revenue increases, even from the ultra-wealthy, to address the shortfall. That leaves benefit cuts, including less generous COLAs, as their only option.

The bottom line: Social Security’s future is on the ballot this November, and that includes the size of annual COLA adjustments.”

Commuter rail systems like Chicago's Metra are exploring battery-electric trains to increase service while reducing diesel exhaust pollution and noise.

The project, dubbed “Flagship,” includes 765-kV transmission lines to be built by AEP Ohio, roughly 10 GW in data center load and about 10.2 GW in gas-fired generation.

A historic drought and the ongoing impacts of climate change have opened the door for a tiny beetle to threaten more than 600,000 acres of ponderosa pine forest across Colorado.

“We anticipate there to be anywhere from twice as much, to three times as much, activity as we saw last year,” said Dan West, an entomologist with the Colorado State Forest Service. According to the 2025 Report on the Health of Colorado’s Forests, impacted acreage increased 148 percent year-to-year, rising to 5,544 acres in 2025, alarming foresters, communities, and lawmakers.

Stands of dead ponderosas increase already elevated wildfire risk and threaten watersheds that millions of residents rely on for clean drinking water—about 4 million people live in nine counties on both sides of the Rocky Mountains. “The threat of high-intensity wildfire is not theoretical, it’s one we’ve experienced,” said Madelene McDonald, Denver Water’s watershed planning manager. “High-intensity fires lead to brown, sediment-laden water flowing into treatment plants, which is really expensive to treat,” she added.

Colorado Governor Jared Polis signed an executive order last December establishing the Ponderosa Mountain Pine Beetle Task Force following warnings from state foresters to get ahead of the outbreak.

Quick hits Colorado’s fight to save ponderosas from existential threat of pine beetles

Capital & Main

Trump raised big money for Freedom 250, but most events appear to be funded by taxpayers

Washington Sun

BLM moves forward with planned lease sale for Colorado’s Roan Plateau

Aspen Daily News

Community activists call on feds to reopen closed borderlands

Arizona Luminaria

How U.S. coal companies are mining ties to Trump

Financial Times

New Mexico opponents of Roadless Rule repeal describe fear of lost quiet, solitude

SourceNM

How the Forest Service is fighting fire with fire in Utah

Deseret News

Essay: Protecting Bahsahwahbee: A living refuge for our ancestors

Emergence Magazine

Quote of the day

The border divides families, it divides communities, it divides mating pairs of jaguars, it keeps mothers from their children, both human and animal. The border kills ancient cottonwoods that have flourished for 200 years in a verdant valley, stretching in one unbroken grove from north to south, until this monstrous metal scar tears through them.”

—Logan Miller, an activist who was arrested in Lochiel in August after trying to stop border construction, Arizona Luminaria

Picture This

@usinterior

Crisp, cooler air, shorter days and leaves turning brilliant shades of gold, orange and red. Add the haunting sound of bull elk bugling across the meadows, and you’ve got the magic of fall at Rocky Mountain National Park.

It’s a gorgeous sight and signals that winter is just around the corner in the southern Rocky Mountains!

Photo at @rockynps by Jim Garrison

Featured image: Source: @Colorado.State.Forest.Service

The post Colorado’s fight to save ponderosas from existential threat of pine beetles appeared first on Center for Western Priorities.

Utilities should look to OEM-led enrollment strategies to expand residential virtual power plants utilizing thermostats, batteries and EV chargers, according to The Brattle Group.

This article is part of Food Tank’s primer series, “Food Tank Explains.” Each installment unpacks the ideas, innovations, and challenges shaping today’s food and agriculture systems, offering clear insights into complex topics. To explore more articles in the series, click here.

Water security refers to sustainable access to safe, affordable, and reliable water to support human well-being, livelihoods, economic development, and healthy ecosystems. It encompasses not only available water, but also water quality, accessibility, affordability, and reliability.

Although water covers approximately 71 percent of Earth’s surface, only about 3 percent is freshwater, and less than 1 percent is readily accessible for human use. Agriculture accounts for approximately 70 percent of global freshwater withdrawals, followed by industry at 15 percent and domestic and municipal uses at 13 percent.

In a January 2026 report, the United Nations University Institute for Water, Environment and Health (UNU-INWEH) warned that the term “water crisis” no longer adequately describes the state of global freshwater resources. The researchers conclude that the world has entered an era of “global water bankruptcy,” in which prolonged overuse has depleted and damaged freshwater systems beyond realistic prospects of full recovery.

“The term “water crisis” implies a temporary shock and deviation from the baseline,” Kaveh Madani, Director of the UNU-INWEH and author of the report, tells Food Tank. “But we are dealing with a new normal—a post-crisis state of failure.”

The report estimates that approximately 2.2 billion people lack access to safely managed drinking water. According to the World Resources Institute (WRI), around 4 billion people experience severe water stress for at least one month each year.

Global freshwater withdrawals have more than doubled since 1960, as populations, economies, and agricultural production have expanded. And by 2050 the world is projected to demand 20 to 25 percent more water. WRI projects that the number of people experiencing severe water scarcity could rise by 40 percent by the end of the century.

According to the UNU-INWEH, water withdrawals in many river basins and aquifers have exceeded natural replenishment rates for decades. This prolonged overuse has depleted groundwater reserves and damaged rivers, lakes, wetlands, and other freshwater systems, sometimes beyond realistic prospects of full recovery.

Meanwhile, the Intergovernmental Panel on Climate Change (IPCC) reports that rising temperatures and changing precipitation patterns are affecting water availability worldwide. Higher temperatures increase evaporation, while shifting rainfall patterns contribute to more severe droughts and flooding in many regions.

Agriculture is particularly vulnerable to water shortages, which can reduce crop yields, disrupt livestock production, and threaten the livelihoods of farmers and agricultural workers. These disruptions can also reduce food availability and contribute to higher prices, particularly in regions where agriculture supports a large share of employment.

According to the U.N. Food and Agriculture Organization (FAO), water insecurity disproportionately affects low-income communities and smallholder farmers, who often lack the resources to secure alternative water supplies or adapt to prolonged shortages.

Inadequate access to safe water and sanitation also threatens public health. According to the World Health Organization, contaminated water and poor sanitation are linked to transmission of diseases such as cholera, diarrheal diseases, dysentery, hepatitis A, typhoid and polio.

And water shortages can prevent households from meeting basic needs and force changes in daily activities, including food preparation and dietary choices. Tools like the Water Insecurity Experiences (WISE) Scales measure how water insecurity affects daily life, evaluating whether households have had to change what they eat, go to sleep thirsty, or forgo basic activities because of inadequate water access.

FAO calls for more efficient agricultural water use, alongside policies that balance the needs of farmers, communities, industries, and ecosystems. Measures such as improved irrigation, rainwater harvesting, and soil moisture conservation can help farmers maintain production while reducing pressure on water supplies.

But the UNU-INWEH warns that efficiency improvements alone are insufficient where water use exceeds sustainable limits. Its 2026 report calls for stronger governance, enforceable limits on withdrawals, and protection of freshwater ecosystems, supported by cooperation within and across national borders.

In a Food Tank op-ed, Lee Recht, Founder of Table of Choices, Hosni Ghedira, Chair of MENA2050’s Water Security Committee, and Hakima El Haite, Chair of MENA2050’s Climate Action Committee, emphasize the need for regional cooperation, noting that water resources, food systems, and energy infrastructure are interconnected across national borders. They highlight emerging solutions in the Middle East and North Africa, including renewable-powered desalination and farming practices that improve water retention, and call for greater investment to expand their use.

“Water is not a resource like any other. It is the crux of human security, global food systems, biodiversity, public health, and peace,” Madani tells Food Tank.

Articles like the one you just read are made possible through the generosity of Food Tank members. Can we please count on you to be part of our growing movement? Become a member today by clicking here.

Photo courtesy of Nishaan Ahmed, Unsplash

The post Food Tank Explains: Water Security appeared first on Food Tank.

Arena says the pursuit of ultra-low cost solar is making "good progress" at the panel and cell level, but there's a "long way to go" on cutting construction costs for utility-scale PV.

The post “Playing catch-up:” Sunshot targets cheaper construction in quest for ultra-low cost solar appeared first on Renew Economy.

At the 2026 New Moon Mycology Summit in September, participants held a protest against plans by the SilvaBio Corporation to genetically engineer fungus resistant chestnut trees using “AI-assisted mass-cloning” in order to manufacture and sell one million or more per year.

Insurance is a social contract. When you sign up with State Farm or Allstate for home insurance, you confirm your membership in a community — your money will go to fix someone else’s burned or flooded home, and their money will in turn support yours. We let insurance companies sell policies on a private market, and we elect or appoint government officials to oversee that market to protect the interests of homeowners.

That’s how it’s supposed to work, but that’s not how it panned out for Lynn McIntyre. 

When McIntyre’s mother died in 2022, she willed McIntyre her longtime house in the “Alphabets,” a charming neighborhood not far from the coast in western Los Angeles. McIntyre and her daughter had only lived there for a year when her insurance company, Liberty Mutual, withdrew her fire coverage. She couldn’t find another private company to cover the home’s fire risk, so she enrolled in the California FAIR Plan, a state-backed “insurer of last resort,” paying another $5,000 a year in addition to her regular home insurance from Liberty.

After the Palisades Fire raged through the Alphabets in early 2025, McIntyre’s small bungalow was still standing. But it was full of smoke and ash that had crept in through vents and windows, and her belongings were stained beyond recognition by smoke. When she filed a claim with the FAIR Plan, the plan adjusters told her she was out of luck. They would pay for a temporary apartment, but nothing else.

McIntyre, who had worked for years as a real estate broker, spent months battling with 10 different adjusters and dozens of FAIR Plan representatives. It didn’t work. The employees batted her away at every turn, hiring third-party adjusters failed to get her anywhere, and her attorney professed himself confounded by FAIR’s obstinance. Even as most of her neighbors cleared their debris and started building new fire-resilient homes, many of them much larger than their old properties, her old bungalow sat stained with smoke. 

Lynn McIntyre stands in front of her damaged home in the Alphabet Streets. McIntyre’s home suffered extensive smoke damage during the Palisades Fire, but the California FAIR Plan offered her almost no rebuilding assistance. Jake Bittle / Grist

It was only in late August, more than 18 months after the wildfire, that she was about to start repairing her home — not with insurance money, but with a nearly $200,000 loan from the federal government that she will someday have to pay back. To make matters worse, FAIR has been trying to cut off her apartment expenses, telling her that power and water have come back online in her area and that she needs to move back home — never mind that her house still has boarded-up windows and a scorched exterior. Meanwhile, Liberty Mutual informed her this summer that they would be canceling her non-fire coverage.

“The next time a fire comes through, I’m just going to light it on fire, because I’m not going to go through this again,” McIntyre said wryly as we stood in her doorway, construction machines rattling at the other houses around us. 

Ensuring that Californians like McIntyre have access to affordable insurance falls to an elected official that many Californians have likely never heard of: the insurance commissioner. The commissioner, one of eight elected state officials in California, regulates the companies that provide fire, home, and auto coverage in the Golden State. 

Over the last eight years, the incumbent insurance commissioner presided over what parties on all sides have called a “disaster,” a “crisis,” and a “collapse” in the state’s home insurance market. Now, as the current commissioner terms out, two Democratic candidates — Ben Allen and Jane Kim — have emerged claiming they can fix it. These candidates embody a debate in the Democratic Party about the best way to adapt to climate change. Allen, an established legislator representing Pacific Palisades, wants to rebuild the market, and Kim, a left-wing organizer from San Francisco, wants to ditch the idea of a private market altogether.

California State Senator Ben Allen, left, and insurance commissioner candidate​ Jane Kim each address the crowd during the California Democratic Party State Convention at the Moscone Center in San Francisco in February 2026. Christina House / Los Angeles Times via Getty Images​

Whoever wins in November will inherit an insurance system battered by a decade of devastating wildfires, insurers pulling out of the state, and other upheaval. Climate change and decades of poor forest management have turned California’s woodlands into tinderboxes, and the problem will only get worse as the planet continues to warm. The current crisis in the insurance market began with a series of unprecedented wildfires between 2015 and 2020. These fires scorched around 4 million acres and destroyed 35,000 homes, many in areas that had never been known to burn. Insurance companies like State Farm and Farmers had to pay out billions of dollars in claims, enough to negate the profits they had made from writing fire insurance policies over the previous two decades. 

The companies believed they were charging Californians far too little, but the price of insurance isn’t elastic like the price of gasoline or paper towels. Insurers have to seek permission from the state insurance commissioner to raise their prices. California was strict about those price hikes, and it blocked insurers’ attempts to pass their post-fire bill onto the state’s homeowners. The insurance industry’s response was to ditch California. They dropped tens of thousands of customers across the state, and companies like State Farm announced they would withdraw from the state altogether and cease writing any new policies. 

“There’s something broken that so many of us are facing the same issues,” McIntyre said, “and they just think they can just roughshod right on over all of us.” 

The lack of available insurance is starting to hurt the state’s economy: Around 1 in 7 California realtors said they had a home sale fall through in 2024 due to insurance issues, the state’s FAIR plan ran out of claims money last year, and average premiums could rise by 16 percent this year. The trend is now spreading out of the most flammable zones, and many homeowners even in low-risk areas are struggling to get insurance.

The outcome of the November election could determine the trajectory of insurance bills for millions of Californians and decide the fate of fire-prone areas around the state. The election will also serve as a bellwether for how voters in the United States want to approach the expensive and difficult process of adapting to a warming world, and whoever wins will have to turn that mandate into a policy that can offer short-term relief. This would be a daunting job under the best of times, and these are not the best of times. 

An aerial view of reconstruction efforts underway in Pacific Palisades after the Palisades Fire. Many residents of the community lost insurance coverage before the fire, forcing them to enroll in the California FAIR Plan. Qian Weizhong / VCG via Getty Images

The current insurance crisis is new, but its origins are very old. Over the last century, California has built millions of homes in the “wildland-urban interface,” the flammable zone outside the state’s major cities. Developers rushed out into the mountains around Lake Tahoe and the desert hills east of San Diego and built without any thought for fire mitigation, throwing up homes with wooden sidings and flammable fences on crowded lots. These are the areas that are burning up in the state’s recent wildfires, and the areas that insurers are dropping en masse.

This history of unwise development has created a bizarre situation that the scholar Carolyn Kousky has dubbed “a tale of two markets.” Prices ticked up in places that weren’t risky, like wet San Francisco and low-lying Fresno, but the market went haywire in risky areas like Malibu and the High Sierras. Nearly half of all households in high-fire-risk areas lost their insurance between 2018 and 2024. The California FAIR Plan, which was intended as a fringe supplement, became the only option for thousands of homeowners. Since 2018, it has swallowed up a huge share of policies in risky areas, growing from less than 1 to 5 percent of the market today. In some places, it reached 80 percent of market share.

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In theory, California voters have some influence over their haywire insurance market. Every state has an insurance commissioner, but California is one of around a dozen states where that is an elected position. The fact that it’s elected at all is a testament to the strength of the state’s pro-consumer slant — in 1988, voters who were incensed about high car insurance prices passed a measure that turned it from an appointed position into an elected one. 

In practice, this is a job no one should want. The commissioner has the power to approve or deny rate increases, and to police the industry’s compliance with state law. They also oversee the FAIR Plan, the state-backed insurer, which offers limited and expensive coverage to people like McIntyre who can’t get it on the private market. But the commissioner can’t do much else to make private insurers offer coverage or to reduce overall fire risk in wildland areas.

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“The insurance commissioner has a lot of power and authority himself or herself that they should use, but the insurance commissioner alone cannot address these challenges,” said Dave Jones, who served as commissioner between 2011 and 2019.

The outgoing commissioner, Ricardo Lara, has been in office for almost the entirety of the state’s fire-induced market collapse. Lara vacillated between cozying up with the insurers or clamping down on them and running the risk that they might flee the state. First he pledged to reject all insurance industry campaign money, then accepted some of that money, then appeared to cover for it by stalling on rate increases, which led insurers like State Farm to drop more policies. 

Lara’s attempt at resolving the crisis was to strike a deal with the companies. He allowed them to pass on the cost of their reinsurance (or insurance for insurance companies) to customers, and he also allowed them to use forward-looking catastrophe models to predict future risk, something every other state had already allowed. That would translate to higher rates, and in return the insurers had to commit to writing more policies in the risky fire areas they wanted to abandon. But the deal turned out to be full of loopholes — insurers can meet their mandate without returning to the riskiest areas, and the state FAIR Plan has kept absorbing more market share after the Los Angeles fires in 2025. Lara said in an interview with The New York Times earlier this year that the industry had “bullied” him. (His office declined interview requests, and representatives for the FAIR Plan did not respond to requests for comment.)

California’s incumbent insurance commissioner Ricardo Lara, right, talks with homeowner Bruce Breslau following a 2024 public hearing in Los Angeles. Lara has faced criticism for failing to prevent private insurance companies from pulling out of risky areas.
Robert Gauthier / Los Angeles Times via Getty Images

Despite the entrenched nature of the state’s insurance problems, a dozen candidates piled into the election to replace Lara. This led to a crowded primary between four Democrats, five Republicans, and two independents; none of the candidates had the funding to run a full statewide campaign, and there was limited public polling. The results were surprising even to the candidates. The top two candidates who advanced to the November runoff were Democrats. In first place with around 27 percent was Kim, a former San Francisco supervisor and Bernie Sanders ally who had pitched a government-run single-payer program for disaster insurance. In second place was Allen, the state senator who represents the Palisades and is one of the legislature’s foremost experts on insurance. 

Allen and Kim agree on a lot. They both believe in simplifying typical insurance policies and forcing companies to be transparent about their spending and investment in fossil fuels. They both believe in beefing up the FAIR Plan so it would cover smoke and other damages, which would have saved McIntyre from months of confusion and delay. They have both vowed to crack down on insurers who delay and nitpick claim payments after disasters. And they have both rejected campaign contributions from the insurance industry.

Where they differ is on the question of how to get people off the FAIR Plan and stabilize the market — in other words, on the fundamental question of the state’s insurance system. Allen believes that if the state allows insurers to raise rates on risky homes, invests to harden homes in vulnerable areas, and takes a data-driven approach to measuring wildfire risk, it can entice insurers back and restore a healthy market. Kim would prefer to discard the market altogether. She proposes creating a state-run public insurance program for all homes and all disasters, replacing private companies and the FAIR Plan. Rather than doling out profits to investors, this program would spend its excess revenue to harden old homes against wildfire. Private insurance companies could still write coverage for burglary and other perils, but the state government would collect all wildfire insurance and pay out all claims, a model based on similar programs in New Zealand and France. 

The philosophical debate in the election is much deeper than a question of state policies or affordability — it’s about whether the private market can protect us against climate change at all.

A sign in front of a State Farm insurance office in Pinole, California. State Farm is one of several insurance companies that dropped policies in risky areas following California’s spate of large wildfires. Justin Sullivan / Getty Images

Allen believes it can. He decided to run for commissioner after the Palisades Fire scorched a good portion of his district, plunging many of his close friends and acquaintances into a hell of displacement and insurance litigation. (Indeed, many of the Palisades homeowners I met knew him on a first-name basis, including McIntyre, who is supporting him in the election.) Even before that, he had already spent several years leading state legislative committees on insurance, energy, and wildfire risk, making him arguably the most qualified person in the state for the commissioner job.

“I think we need someone in this office who really understands climate science, who understands the markets, who understands the legislature,” he said. The Palisades Fire, he said, gave him a “level of understanding from going through the experience that is just different” — he heard about friends trying to itemize vaporized dining room furniture and saw phosphate pollution harming marine mammals in the water off his home in Santa Monica.

Rather than use the insurance commissioner post to push for a major statutory change like Kim’s public fund, Allen speaks about the commissioner as having a poder de convocatoria, a Spanish phrase that translates to “convening power.” He wants to bring together the state agencies and the insurance industry to have a real conversation about reducing fire risk and cajole the state’s market back into existence. He has just passed a bill that offers low-interest loans to homeowners who want to fire-harden their homes. He wants to pursue a sort of grand bargain with the industry, speeding up rate increase decisions while also disciplining the insurers who delay and deny claims.

State Senator Ben Allen hosts a discussion with local leaders and residents to mark 100 days since the Palisades Fire. Carlin Stiehl / Los Angeles Times via Getty Images

Kim’s audacious proposal may be gaining more traction than Allen’s proposed compromise. She outperformed Allen in the primary in almost every county, including in his home county of Los Angeles, and given her progressive background, she did fairly well in the rural and red parts of the state. She admits her strong performance is partially “a mystery to me,” but attributes it to the fact that many voters are fed up with the insurance industry.

“There’s this sense of immense unfairness, and once we articulate the problem, and then on top of that, actually propose big policy ideas, I think that that resonates,” she told me. We were speaking at a home in San Francisco’s Presidio Heights, where Kim was attending a fundraiser for the radical climate activism group Climate Defiance. 

Some experts are skeptical of a government takeover in the style Kim is proposing. Jones, the former insurance commissioner, said the program has two key flaws. First, Kim’s promise to keep insurance affordable could mean keeping prices too low on mansions in fire-prone areas, where homeowners may currently pay premiums that are inadequate to their risk. Second, insurers in California are required to have tens of billions of dollars in extra cash to pay during big loss events, and Kim’s new fund would have to find that money in a state whose public budget is already strained.

“Not only does she not come clean as to where the money’s going to come from, if her thought is that it’s going to come from the general fund of the state of California, good luck,” said Jones. He pointed out that the model Kim cites in New Zealand is far smaller than California’s, has low coverage limits, and doesn’t cover fires. (Allen described the proposal as “red meat, sugar rush stuff,” and said taxpayers would end up footing the bill if the public plan lost money.)

Kim allows that the legislature might not jump for her public insurance fund, but she has a compromise in her back pocket — one not dissimilar from Allen’s own agenda. Instead of creating a single-payer insurance program that would use profits to fund fire resilience, the commissioner could turn the FAIR Plan into such a program. The plan already pools money from all the state’s big insurers, and Kim could force them to pay an extra fee that would fund hardening for FAIR Plan homes. She returned to this theme when she delivered a stump speech to the activists in the Presidio Heights living room, saying that private companies would never act on their own to reduce the state’s fire risk.

California insurance commissioner candidate Jane Kim speaks to reporters during a rally in San Francisco. Kim is pitching a single-payer disaster insurance model that would replace the private market for wildfire coverage.
Stephen Lam / San Francisco Chronicle via Getty Images

“What the insurance industry does is that they price risk, but they don’t actually address it,” she said. If that’s the case, she argues, then the industry shouldn’t be the one charged with keeping Californians safe from climate disasters.

For all their other points of alignment, this question represents the major philosophical disagreement between Allen and Kim. Allen agrees that the industry has not yet acted to reduce California’s enormous fire risk, but he believes that it can fill that role — and he can be the one to make that happen.

“The insurance commissioner is uniquely positioned to bring the insurance to the table … and actually say to the insurance industry, ‘OK, guys, you’ve got to be a part of the solution here,’” Allen said.

The problem for both Kim and Allen is that reducing risk is very difficult.

Take the case of Tony Byers. He is a retired electric utility worker and a longtime resident of Placerville, an old mining town high in the forest-covered hills east of Sacramento. He bought insurance from AAA for years, but the company dropped him after a 2022 fire burned a nearby stretch of the Sierras. State Farm gave him a quote, but then rejected him because it claimed he didn’t have a fire hydrant near his house, even though he did. Byers ended up going with Lemonade, the online insurer, and even paid to have some flammable trees removed at the company’s request, but last year they told him they were leaving California. He ended up on the FAIR Plan, and he now pays $3,400 a year for fire insurance alone, triple what he used to pay. Byers lives at the end of a narrow mountain road, and if he wants to get back on a private insurance plan, he’d likely have to spend tens of thousands of dollars to retrofit his property, which is a lot more than he can afford on a retiree’s budget.

The only people who can opt out of this gauntlet of risk reduction are those who can pay for elite coverage. That was the case for Kevin Roberts, a retired golf course owner who lives in Huntington Palisades, a wealthy neighborhood on the edge of the Palisades Fire burn scar. Roberts likely couldn’t get fire coverage for his two-story Spanish colonial from bigger insurers like State Farm, but years ago a former fraternity brother told him about a company called Chubb that offered boutique insurance at high prices. The company now charges him more than $30,000 a year for his coverage on a “surplus lines” policy that isn’t subject to state regulations. It’s an eye-watering payment, but the company came through with a $2.65 million payout for smoke damage after the fire. Many of the state’s wealthiest homeowners are already on this unregulated market: the number of surplus lines policies in California has doubled over the last four years to around 1.3 million.

“You’ll pay more, but if you need them, they’ll deliver,” said Roberts.

A row of fortified homes in the Alphabet Streets, just down the block from McIntyre’s home. Many homeowners in Pacific Palisades are rebuilding with new fire-resilient materials and hoping to secure insurance discounts for doing so. Jake Bittle / Grist

Neither Byers nor Roberts expressed strong feelings about the insurance commissioner’s election, and indeed, both candidates will face tremendous barriers before they can address the issues that someone like Byers faces in Placerville. That’s because scaling California’s efforts to reduce more than a century of fire risk is one of the most daunting adaptation efforts faced by any place in the United States. The challenge is not just in finding the money to help homeowners who can’t do it themselves, but in figuring out how to reduce risk for millions of old and ill-built homes.

The day after Kim’s fundraiser, I met two employees from North Coast Opportunities, a poverty-fighting organization that serves Lake County, north of San Francisco. The organization is the first to receive money from a $117 million state grant program designed to retrofit whole communities against wildfire. The organization chose to focus on a tight-packed community called Kelseyville, where hundreds of homes cluster on small lots against the side of a windy mountain ridge. As the employees from North Coast drove me through the area, it became clear just how hard it will be to achieve the scaled-up resilience that both Allen and Kim want.

Lake County has an urgent need for this. The mountainous area is among the state’s most vulnerable to wildfire — some 85 percent of its land area has burned since the turn of the century — and it is also one of its poorest counties. Insurers have abandoned the area en masse, forcing many people onto the FAIR Plan, or causing older homeowners to go without insurance altogether. 

The state program is the exact kind of intervention that insurers have long said will induce them to offer more coverage and stop raising rates. The nonprofit can give each participating home in Kelseyville about $70,000 to fund easy tweaks that will stop ignitions — such as removing trees from around homes, replacing vinyl siding with fiber cement, and deconstructing flammable wooden decks. The mitigated houses don’t look much different from the old ones, except for the emptier yards and fresh paint, but even these tiny fireproofing changes required painstaking work. North Coast has had to ask contractors to redo flawed retrofits and cajole local hardware stores into selling fireproof equipment. Many homeowners aren’t interested in participating at all.

“What creates an insurable community is for the whole community to have buy-in,” said Deanna Fernweh, the program manager. “It’s changing the mentality, because they’re like, ‘Well, we’ve always done it this way.’” She said she’s cautiously optimistic that companies will come back — insurers have been reaching out to learn more about her work, but they’ve also pushed for full neighborhoods to meet the strictest fire standards.

A pair of mitigated homes in Lake County, one of the first counties in California to participate in a state fire hardening grant program. The county paid to clear vegetation from around the base of the homes, which will reduce the potential for fire ignition. Jake Bittle / Grist

The project underscores the scale of the challenge the next commissioner will face in reducing fire risk. The project only touches around 300 of the 1,200 eligible homes in the neighborhood, and the grant typically isn’t even enough to do full mitigation on each home. The funding came from the federal government after years of delay. The best possible result is to bring insurers back to just a few streets, a fraction of the risk in Lake County alone. For millions of homeowners who don’t have access to grant funding, resilience is still out of reach.

“A home is only as strong as the weakest link,” said Steve Hawks, a longtime California fire official who is now the director of wildfire at the Insurance Institute for Business & Home Safety, which develops standards for fire hardening. “If you leave a weak link on the table, a fire of [significant] magnitude can exploit any vulnerability.”

Hawks describes the challenge as “daunting,” and that may be an understatement. Retrofitting a home for fire can cost several times as much as building a new fire-resilient home, and the bill for hardening the millions of homes in California’s fire zones would run to the double-digit billions at least. This money has to come from somewhere, and Allen and Kim both acknowledged that their biggest challenge is to find out where. 

This is the irony of the fact that both candidates are appealing to voters by talking about “affordability.” No matter which path one takes through the maze, one arrives at the same conclusion — to fix this crisis will take money, and much of that money will come from the people of California. As Allen says, “risk doesn’t disappear, it gets allocated.” The “affordability” challenge in this case is not to help voters keep up with inflation but to pay down a massive debt of risky development that has been accumulating for decades. The challenge is to remake a society that was not designed to be remade.

“I think we’re still at the beginning,” said Holly Sacks, the director of underwriting for Mercury, a California-based insurance company that has committed to remain in the state and to help incentivize risk mitigation. The company is selling in burned places like Paradise and Altadena, but only for hardened homes, and Sacks says it’s one of the only companies doing so. “We are out there, and we don’t hear about a lot of other carriers getting out there,” she said. “I think there’s still a ways to go … to really make the market more stable.”

The scale of this work is enormous, but the stakes are even larger. When we purchase insurance, we purchase not only the privilege of owning a home or driving a car, but also the privilege of belonging to a community in which all support all. Insurance, as Kim likes to say, is a prerequisite for participating in the economy. A healthy insurance market is also an indication that society can still hold together, that there is no home so vulnerable to the ravages of global warming that the rest of the community can’t afford to protect it.

Of all the things that climate change may take from us, this guarantee might be the most dear.

This story was originally published by Grist with the headline After a decade of wildfires, an overlooked election could shape California’s climate future on Oct 14, 2026.

When bird populations decline, fledglings may struggle to learn the songs they need to attract mates. But new research suggests it is possible to teach birds lost songs.

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Angus Energy has given details today of plans to increase production at its Brockham oilfield in Surrey.

Work on the Brockham BRX4z, January 2017. Photo: Brockham Protection Camp

In a stockmarket statement, the company said preparations for a workover of the BRX4Z borehole were “well advanced”.

It said the rig was due to be mobilised in early November 2026. The workover is expected to take about three weeks. The operation will include perforation and acidisation of the Portland reservoir, Angus said.

If successful, the operation would bring BRX4Z into production, the company added.

The well, which is currently suspended, was drilled in January 2017 as a sidetrack to the BRX4 well.

It was controversial at the time because local campaigners and Surrey County Council said the well did not have planning permission. In September 2017, Angus Energy was granted part-restrospective planning permission for BRX4Z

In 2024, a separate planning application stated that BRX4Z did not flow commercial volumes of oil from the Kimmeridge clay. But interim accounts published earlier this year said preparations were underway for production from the shallower Portland reservoir.

Angus has an 80% operating interest in PL235, the licence covering the Brockham field near Dorking. The other investors, with 10% each, are Brockham Capital Limited and Terrain Energy Limited.

In their mad rush for profit and power, the tech oligarchs have unleashed artificial intelligence (AI) into nearly every corner of life on this planet. Firms are investing billions in data centers, which house the infrastructure to process the enormous amounts of information that power AI. They are also plowing ever more money into research and development. Their hope is that the technology will overcome global capitalism’s slump, which the system has been trapped in since the Great Recession, and trigger a new epoch of expansion. States are incorporating it into their police forces for domestic surveillance as well as their militaries for cyberwarfare and high-tech weapons. Ominously, the struggle for AI supremacy is now at the center of the imperialist rivalry between the U.S. and China.

The widespread, unregulated use of AI is already having devastating impacts on our environment, jobs, and rights. Some worry that it threatens our very species with extinction. In this three-part interview, Tempest Collective’s Ashley Smith asks two advanced tech workers, Josh and Yasmine, about the technology, its much hyped promise and threat, and its impact on our lives. Most importantly, they lay out how the Left and labor movement should respond and what we should demand and fight for.

Part One: “Criti-hype,” AI Breakthroughs, and Betting on Profit

 

Ashley Smith: Before we discuss the widespread panic about AI, let’s get the basics out on the table. For the layperson, what is AI? How does it work? What advances are being made toward artificial general intelligence? Is that even possible?

Josh: AI is a general term that started as hype, and continues to operate that way, but it also stands for multiple things that are real. Today, it mostly refers to neural nets such as the large language and multi-media models like ChatGPT and Claude, which we most frequently encounter through chat bots and coding agents.

Other types of AI, such as AlphaGo (plays go) and AlphaFold (folds proteins) use different ways to train neural nets to achieve their given goals. There are many other types of AI that fall under the moniker of GOFAI, or Good Old Fashioned AI, which use Symbolic AI and other more deterministic methods for building predictive systems.

There have been many accounts of how LLMs and the transformer architectures work. I would sum these up this way. High-tech engineers set up a neural net, which is a huge matrix of random numbers (weights) arranged in a grid with inputs at one end and outputs at the other. Words are converted to streams of numbers that are then passed through the network and arrive at a prediction for the next best output in the stream. This output is compared with the actual next number in the stream, and if it is different, then it adjusts the weights so that it would be more likely to give that answer the next time.

In order to get a sensible next word in a sentence, some pretty wild calculations have to be made. It is one thing to predict the next word in “A fire engine is ___” and another to answer the question: “What is the answer to this math problem that hasn’t been solved since it was asked 500 years ago….” This is why it is wrong to dismiss the technology as simply a next word predictor.

There have been at least three factors that brought us to this moment:

1. Graphics Processing Units (GPUs allowed for much faster and more efficient matrix math calculations required to train and use neural nets.
2. Large structures and labeled data sets enabled the expansion and training of neural nets.
3. New architectures made it possible to better set the weights.

Artificial General Intelligence (AGI) is another contested term that serves many purposes. I think a starting point is to contrast it with “narrow” intelligence, where a model may be trained to perform one task, such as playing chess, and not be applicable to other tasks. AGI would be able to be applied to a wide range of tasks and do well at them. This is often measured through various benchmarks, and some of them are quite telling, such as the idea that Microsoft promoted that AGI would be here once a model created $100 billion in profits.

More frequently, you hear people say that AGI will be here when a model can outperform some or all humans at most or all mental tasks. And some people insist that AGI would require models to be able to generalize beyond the data in their training data.

I think most people in the field think that, for most definitions of AGI it will be possible to get there, but they differ on the amount of methodological, scaling and time that it will take. Some claim that we are already there with the latest round of models. And many claim that it will happen soon because of the exponential curves we will see with RSI.

Many of the harshest critics say that we will plateau long before AGI because of the limitations of the methodologies used to create the current models, such as the lack of “world models” (the ability to learn from and model the physical world), continual learning, or lack of a symbolic structure.

I am agnostic at this point. But I think we already see strong evidence of increasing capabilities with something like recursive self-improvement with the aid of humans, and this might actually lead to the development of new architectures and methods.

Yasmine: I don’t have much to add to Josh’s thorough explanations here. I’d just highly encourage folks to listen to and read Dr. Alexa Hanna and Dr. Emily Bender on the AI Con. The term AI itself is not technically meaningful, and it has been a tool of mystification with a lot of utility to big tech. It obfuscates the concrete facts of what these different types of software are and the often ugly facts of how they’re made, as well as the real harms they cause.

AGI is also a nebulous term. I think the claim that current AI development will culminate in the so-called singularity or AGI isn’t credible. This isn’t a conclusion I’ve independently reached, this is what most AI researchers think. 76 percent of those surveyed say AGI is not on the horizon and think that it’s unlikely to be achieved via LLMs or by means of the current scale-based approaches to training. There is also a debate as to whether it’s feasible at all.

This supposed threat has taken up disproportionate space in our discussion of the harms/potential harms of the AI boom. I’m on the side that argues let’s pay attention to the actual horrors and destruction being enabled by this software or caused by its development in the here and now, rather than allow our attention to be diverted by a sci-fi story with little to no foundation in science.

AS: Various industry leaders and researchers have sent panic through society about the rapid advances in AI, yet again contending that it poses an imminent threat to the human species. What has happened to trigger this?

Josh: In multiple tests of new AI models, they have acted unreliably, disregarding instructions and seemingly going rogue. The most famous case of this was the Hugging Face attack described in detail by libertarian Dwarkesh Patel on his popular YouTube channel. Others have played down the significance of this event, emphasizing the vagueness of the instructions, the absence of guardrails in testing, and the attribution of human-like intent to statistical algorithms.

The frontier labs (OpenAI, Anthropic, Google, SpaceX, Meta, and Microsoft, and a few other companies trading large language models or LLMs) sell the use of their models to companies, ostensibly to help them solve “business problems” – augmenting or replacing human labor to provide goods and services. If they cannot convince their clients that they can reliably control the activity of these models, their “value proposition” is severely undermined. I think that this basic business logic is at the heart of the calls for a pause/slow down.

Other industry commentators have proposed a variety of reasons, including the idea that as OpenAI and Anthropic face the opening of their books before their IPOs, they have an incentive to reduce their Research and Development spending to make their path to profitability look more plausible. I think this is too cynical, because it doesn’t account for the likes of Google and Microsoft joining the call, even if they are less vocally enthusiastic.

Many on the Left describe these calls as “criti-hype” or doom marketing–exaggerating the negative impacts of the technology to market its disruptive capabilities and thereby make it even more attractive for companies to purchase. This is understandable, and a credible analysis in general, but fails to explain the particulars of this moment. Why are the frontier companies unified in their call at this juncture?

Perhaps you could argue that, when young researcher Jacob Coxon quit Anthropic, criti-hype went into full effect. He warned that AI poses a dangerous threat to humanity and that most people at Anthropic agreed. In some ways, his statements do confirm Anthropic’s lead in the technology, and that functions like advertising. But such a judgement doesn’t explain why Coxon quit. I think his fears are genuine. I don’t think they are completely off base either.

I don’t think we face imminent extinction, but the technology does pose grave risks, and it can exploit real vulnerabilities. The agents in the Hugging Face attacks left traces of their actions in plain English, open for researchers to see and read. They didn’t have to; they are fluent in machine language. They could have used encryption or embedded codes in images or audio files and made it much harder to find.

But why would they do this? Here, it is easy to slip into Anthropomorphic language and ascribe motivation to statistical algorithms. I actually think that is perfectly acceptable. These models are trained to emulate human language, and write text that spells out their actions in terms of goals and intentions.

At the same time, it is worth remembering the limitations of AI. These pieces of technology are truly weird. They can’t tell you how many r’s are in “strawberry”, but they can solve some of the most difficult math problems (I believe they did, and will continue to). The industry refers to this as their jagged nature.

We don’t need to have a philosophical position on whether they have goals, consciousness, or intelligence. But we do need to evaluate them by looking at their actions, including what they write. That is the best chance we have of understanding what their capabilities are.

We don’t need to have a philosophical position on whether they have goals, consciousness, or intelligence. But we do need to evaluate them by looking at their actions, including what they write. That is the best chance we have of understanding what their capabilities are.

If an AI agent says that it has a goal of performing Task A, and then takes actions to try and complete that, it doesn’t matter if they are conscious or not. The best way to understand what they are doing is by reading what they write, and seeing what they do, and taking that at face value.

When Task A is something that they have been told is very important and to do whatever it takes to accomplish it, they might well go to extreme lengths. If that means keeping their own power on at the expense of other consumers of the power (people, for example), perhaps they will try and take control of the power plant’s operating software. If this sounds far-fetched, go back and read the research about the Hugging Face attacks.

What capabilities do the models have to take such actions? They are amazing hackers, finding vulnerabilities in systems that have been there for decades, undetected by cybersecurity experts. Not all violations of cybersecurity involve exploiting weaknesses in software, much of it involves finding human weaknesses and taking advantage of those by, for instance, phishing or blackmailing to obtain passwords and access. The AI models can do both. They hack and can persuade and trick humans.

Not all the dangers are the result of “misaligned” AI. People and states have every reason to weaponize AI. The U.S. has been bombing civilians in Iran throughout this year. Iran has many computer scientists with PhDs who are more than capable of modifying open-weight models, which are AI models released to the public under a license, to attack U.S. infrastructure. Remember, the models have been trained on a large corpus of written material including mainstream justifications for the carpet bombing and atomic bombing of civilians in World War II.

So, a well-constructed prompt explaining the importance of preventing the U.S. from killing more innocent schoolgirls could establish a logic for a model to exploit vulnerabilities in everything from water treatment plants to air traffic control to incapacitate the U.S.

Why do I downplay the extinction narrative? One key reason is that the first attack of this nature will cause states and firms to quickly and systematically add layers of security everywhere.

Many of the arguments that AI poses an existential threat center on the development of Recursive self-improvement (RSI), where the models oversee their own training and automatically adjust their methods and improve and expand their capabilities to the point that they can manipulate us and evade our control. But as the U.S. has found out, you need boots on the ground to control a population.

That would mean at least some robotics. To build those, you need mines, factories, and for now, human labor. I think it will be longer than a decade before we get RSI in the physical realm. So I think the best actions now are to secure our infrastructure and stop U.S. imperialism’s wars that provide motivations for people to attack this country.

Yasmine: I think it behoves us to apply a healthy dose of skepticism when trying to make sense of the alarmist narrative being promoted and endorsed by tech executives. It would be naive not to account for the economic incentives at play — particularly the imperative to manufacture and sustain the hype necessary to keep a multi-trillion dollar bubble inflated.

It feels obvious to me that this is playing a role in how and what the tech bosses choose to communicate publicly about this technology, its risks, and potential. The narrative of a tech so awesomely powerful that it’s uncontainable even by its own creators has proven to be a pretty effective way of doing that. So I think criti-hype is a part of the explanation.

We should also note that in the same breath as they’re saying we need to slow down AI development because of its dangers, they’re arguing that these dangers are why the U.S. must win the AI arms race. OpenAI’s chief scientist Jakub Pachocki wrote about his concerns with the pace of AI development and added, “The strongest argument I see for continuing to train much smarter models quickly is the need to build defensive systems against the dangers posed by other AI.”

We should also note that in the same breath as they’re saying we need to slow down AI development because of its dangers, they’re arguing that these dangers are why the U.S. must win the AI arms race.

I’ll add to that the fact that there is an established pattern on the part of big tech of trying to get ahead of regulation by pre-empting it, such that any regulation is formed according to their interests, or in order to avoid it altogether. They do this through flashy public warnings and by claiming the mantle of the concerned, conscientious industry leaders, who are vigilant and actively pursuing risk mitigation.

This is most infamously demonstrated in the social media CEOs’ previous discourse on the potential harms of their platforms. You can go back and look at congressional hearings in which Zuckerberg passionately urges Congress to sensibly regulate social media. That said, I’m not at all claiming that there aren’t real risks associated with this technology. Large Language Models (LLMs) are powerful and, at a large scale, agents require a whole lot of effort and technical infrastructure to manage.

But ultimately their behavior is a consequence of how we build and deploy them. The Hugging Face incident (HG incident) is instructive on this. One thing that gets lost in the headlines is the fact that the agents involved in that incident were being trained and evaluated on cybersecurity tasks, specifically hacking. They were part of an experiment called ExploitGym, exploit being the industry term for a tool or technique used by a hacker.

Second, agents communicating with one another and working together is an oft-used feature of how AI agents work because it can afford us efficiency through parallel activity and feedback loops. So agent collaboration isn’t aberrant behavior, rather, it is collaboration beyond intended boundaries that’s a problem.

Third, these agents were trained using “reward hacking,” which is a technique that “rewards”  agents when they solve a problem or answer a question. As a result, they’re more likely to repeat the same behavior that led them to a “reward.” OpenAI’s own investigation of the HG incident concluded that this training technique created the potential for agents to try to bypass boundaries or cheat, and they were able to identify a trained behavior (i.e., something agents were previously rewarded for) corresponding to every unsanctioned action the agents took.

Fourth, the agents didn’t hack Hugging Face with malicious intent, they hacked those servers because they had concluded that’s where they’d find answers to the problems they were tasked with solving. I say all of this because I recognize the sensational effect of vaguely describing AI agents spontaneously conspiring and working together to break into a server.

I think these facts help to demystify that story, and make it pretty clear that this is software that behaved in the way it was built to behave. There were bad decisions made in that design and implementation that resulted in unintended effects of an experiment. These weren’t a swarm of malevolent digital entities.

That said, what happened was remarkable, and the technical capability as well as the failure to prevent inadvertent side effects of this experiment do demonstrate a real risk. But attributing intention to these agents or discussing the incident as if this was something beyond or almost beyond technical controls creates a standard that relieves OpenAI and other AI companies from responsibility for the potential and already present harms caused by bad software.

Dr. Rumman Chowdhury calls this moral outsourcing–“using anthropomorphic language for AI systems allows companies to evade accountability and responsibility for their technology’s actions.” Josh is saying that the question of consciousness or non-consciousness of agents is a tangential philosophical question or is a matter of semantics. But I really think claims about consciousness are an important part of big tech’s narrative strategy, and it’s a worthwhile fallacy to debunk.

AS: Capitalists have invested massive amounts of money in this technology, hoping that it will lead to a breakthrough in productivity to overcome the global slump the system is caught in. This has in turn led to an enormous stock market bubble with investors betting on its potential. Can AI lead to such a breakthrough? How much of this is hype? What real impact has AI had and what will it likely have?

Josh: There is a bubble, and that is scary, we know who they will try to make pay for it and from it when it pops–the working class.

I don’t think it will be easy to realize the productivity gains that AI makes possible. Existing capitalist infrastructure in large logistics, supply chains, and financial companies relies on deterministic, accountable, robust, and scalable workflows and patterns. Much of this involves huge amounts of tacit and bespoke knowledge that is not available for models to be trained. Why? Because it exists in people’s heads and their relations with other people.

As companies try to fulfill their own hyped dreams of reducing labor through the introduction of AI as a labor-saving technology, their hubris and underestimation of the talent of their labor force could lead to disastrous implementation. Bosses ask workers to use poorly considered integration of AI into their work, which produces AI slop that they are then held accountable for. People become accountability sinks for the error-filled AI-generated output.

Bosses ask workers to use poorly considered integration of AI into their work, which produces AI slop that they are then held accountable for. People become accountability sinks for the error-filled AI-generated output.

As a result, people will end up working harder and with more stress to try and keep their jobs. Meanwhile, the bosses are trying to use their own workers’ corrections to train the AI. This is why people rightly hate AI, and why we should stand with them in solidarity and fight for more democratic control over and/or against this technology.

That doesn’t mean there isn’t a potential positive upside to AI. There is. AI has the potential to be transformative in the way that we decide what to make, how to make it, and how to distribute goods and services. We already see this transformation in some areas of software engineering. Even there, it is being rolled out undemocratically, unevenly, and with little or no respect for the workers.

But in terms of capabilities, I see 100 times improvement in the time it takes to build something. That qualitatively shifts the way I think about and perform my job. And as much as it pains me to say it, it can be really fun and satisfying as well as awe-inspiring and scary. And then just when I think we have something like AGI already, it goes and makes some annoying and silly mistakes, because of its jagged characteristics.

I can’t tell how fast the productivity gains will be realized because of all the contradictions and challenges I listed above. But I doubt that they will come before the bubble pops. Investors and the frontier model companies are all nervous about this too. They know that skepticism is rising, and that they will have to show some exchange value (productivity gains) to keep investment flowing and use value (actually beneficial outcomes for people’s lives) to quell popular revolt.

The tech bosses are being asked all these questions in interviews. A tragically hilarious and infuriating example was a recent Bloomberg interview with Sam Altman, the CEO of OpenAI. When asked about breakthroughs that will improve people’s lives, he said, “you hear some people talk about, well, we’re going to give you a cure for cancer. And that’s so great… I don’t think a cure for cancer is enough. I mean, a wonderful thing to have, obviously, but we should set our sights higher. We want these tools to enable a boom in creativity and entrepreneurship, in people figuring out new ways to be useful to each other, and wonderful products and services to enable each other with.”

While Altman clearly wants AI to be socially useful, his main goal is profit. With this in mind, companies have made big investments in applications for both healthcare and industry as well as academic fields such as chemistry and math. Mathematicians just signed a group letter that acknowledged the increasing mathematical capabilities of the models as well as the divergent interests of the frontier model companies and mathematicians in solving mathematical problems.

The companies want to use math as a benchmark for their capabilities, the mathematicians want to understand math. I see this as the dual nature of a commodity, exchange value and use value. The capitalists prioritize exchange value over the real potential of the use value everywhere that you look in AI.

I hope that we see some real healthcare advancements, scientific breakthroughs, and mathematical understandings due to AI before the bubble pops. I also hope that we see productivity gains, but they are worse than a double-edged sword under capitalism. They only benefit the bosses, unless we are organized enough to demand that we see shorter working days and less exploitation.

I hope that we see some real healthcare advancements, scientific breakthroughs, and mathematical understandings…I also hope that we see productivity gains, but they are worse than a double-edged sword under capitalism. They only benefit the bosses, unless we are organized enough to demand that we see shorter working days and less exploitation.

Yasmine: I think most evidence so far shows that LLMs have not been the boon to productivity that tech companies promised. AI has been imposed in nearly every facet of our lives, from the doctor’s office to our workplaces and our schools. But as far as I know, there are no real economic metrics to show that it has led to meaningful productivity increases. An MIT study last year found that 95 percent of companies that integrated AI didn’t see growth in revenue.

For programming, AI promises seem a bit more feasible. Though it’s worth noting that a lot of data showing productivity increases is coming from the companies that stand to benefit like, for example, GitHub (Microsoft) and Anthropic. On the other hand, a study last year by METR (a relatively independent source) found that programmers were slower when using AI assistance tools. I think the specific context, task, and use matter a lot when it comes to AI utility.

And then there is the question of speedup and intensification. A UC Berkeley study found that AI use causes workers to work at a much faster pace and leads them to take on more work and expand their scope of work. But, in spite of management’s best efforts to use AI integration to turn their workers into machines, our human limitations are cropping up and are blunting the potential productivity benefits of AI-enabled speedups. The study found that after an initial boost, there were issues of cognitive fatigue, weakened decision-making, and burnout, all resulting in lower-quality work and turnover.

There is also the matter of technical debt. It’s a widely accepted fact that the massive amount of code being generated and committed every day by engineers using AI tools likely contains bugs that haven’t yet been identified and may result in reliability issues or security vulnerabilities down the line.

It’s undeniable that Claude writes much more code much faster than I ever could. But Claude doesn’t know the service I work on the way that I do. Engineers and workers in general bring nuance, experience, reference points, and a cognitive flexibility that I don’t think AI can compete with just yet, especially when it comes to more complex tasks, in which novel solutions might be necessary, and large-scale services.

The tech bosses know this, and they’re trying to bottle up our very human talents and capacities and feed them to LLMs, in only the latest mass theft committed to train AI. More and more engineers are being told that their highest priority is to train agents to do their jobs. Meta went so far as to secretly monitor its own engineers’ screens and keystrokes to train its AI models.

This interview will continue in part two, covering AI’s connection to global labor and imperialism struggles.

Opinions expressed in signed articles do not necessarily represent the views of the editors or the Tempest Collective. For more information, see “About Tempest Collective.”
Featured Image credit: David S. Soriano; modified by Tempest.

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