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This fuel plant will use agricultural waste to combat climate change

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photograph of agricultural waste


A startup plans to build a new type of fuel-producing plant in California’s fertile Central Valley that would, if it works as hoped, continually capture and bury carbon dioxide.

The facility, developed by Mote of Los Angeles, would use the mounds of agricultural waste produced on the state’s sprawling almond orchards and other types of farms. It would heat leftovers like tree trimmings and fruit pits to temperatures above 1,500 ˚F, hot enough to convert the biomass into hydrogen and carbon dioxide.

Mote plans to separate out the carbon dioxide and pump it deep underground into saline aquifers or retired oil wells near the plant. The hydrogen would be sold to serve the state’s growing fleets of emissions-free buses and trucks.

The process should permanently store away the carbon captured by the plants as they grow. And the hydrogen would defray the high costs of the process.

Mote says its facility would be the first to convert biomass to hydrogen while capturing the carbon emissions. But it’s among a growing number of efforts to commercialize a concept first proposed two decades ago as a means of combating climate change, known as bioenergy with carbon capture and sequestration, or BECCS.

Such operations could remove greenhouse gas from the atmosphere over time, even as they provide low- or no-emissions replacements for fossil fuel. But there are serious challenges to doing it affordably and in ways that reliably suck down significant levels of carbon dioxide.

Dan Sanchez, who runs the Carbon Removal Lab at the University of California, Berkeley, says the process that Mote intends to use, known as biomass gasification, is technically difficult and expensive. It requires careful pre-treatment of the waste and cleaning of the resulting gases. And gathering up the fuels from scattered farms or forests will be complicated and costly.

In addition, the company’s longer-term prospects could be constrained by the lack of infrastructure for moving around and storing the resulting gases, as well as limited demand for the high-cost variety of hydrogen they plan to produce.

But Mote’s plant might be a particularly effective approach to BECCS because the resulting fuel is carbon free, while other types of plants produce fuels that release some amount back in the end.

And Mac Kennedy, the company’s chief executive, says the facility could become profitable within a few years by taking advantage of state subsidies for low-carbon fuels and federal tax credits for carbon storage. He hopes to eventually build more plants across California and beyond, potentially tapping into other fuel sources like trees removed from forests, whether in the aftermath of wildfires or in the hopes of preventing them.

Tricky questions

BECCS is a loosely defined technology that could include facilities running on wood chips, switchgrass, or municipal waste, and producing electricity, ethanol, or so-called synthetic fuels that can power today’s cars, trucks, and planes.

The concept has seized a growing share of attention in research and policy discussions as climate models increasingly find that the only way to avoid very dangerous levels of warming this century is to suck vast amounts of greenhouse gases from the atmosphere.

Plants and trees do a great job at that, but when they die, rot, or burn, much of the carbon is returned to the air. Various BECCS schemes promise to “make sure it’s permanently out of the atmosphere,” says Roger Aines, who leads the Carbon Initiative at Lawrence Livermore National Laboratory.

The planned hydrogen plan will “gasify” tree trimmings and other agricultural byproducts.

COURTESY: MOTE

The hope is that these operations can be at least carbon neutral, adding no more greenhouse gases they remove. But some promise to draw down much more than is generated, achieving what’s known as negative emissions.

In 2018, the UN’s climate panel concluded that limiting warming to 1.5 ˚C over preindustrial levels could require the removal of as much as 8 billion tons of carbon dioxide per year through BECCS by 2050. Estimates for the technology’s carbon removal capacity vary widely, ranging from 1 billion to 15 billion tons per year globally by midcentury, according to a review of the scientific literature by the Energy Futures Initiative, published in January.

Cost estimates vary widely depending on the technologies, fuel sources, and outputs. But a 2020 study, led by researchers at Oak Ridge National Laboratory, found that costs for using biomass to capture and permanently store nearly 200 million tons of carbon dioxide would run between $62 and $137 per ton in the US. That includes the revenue from resulting products, which the study assumed would mean selling electricity generated from such plants.

That range is well below the current cost of another popular idea for removing carbon from the air, direct air capture, which can exceed $600 per ton. But even with costs nearly as low as $60 per ton, BECCS wouldn’t be profitable on its own.

That means, for now, such operations will often depend on government subsidies to be viable. “Certainly the added costs of BECCS, or any negative-emissions decarbonization strategy, would need to be somehow compensated for the industry to grow,” Matthew Langholtz, a natural-resources economist at the Oak Ridge Lab and one of the authors of the study, said in an email.

If BECCS does reach large scales, some experts fear, it could come at the expense of food production as plants expand beyond agricultural waste for fuel sources. Eventually, it could even create incentives to raze forests and grasslands and grow crops for bioenergy in their place.

These and other issues make it tricky to properly account for how much carbon is removed and how much is released throughout the process. Farming produces lots of highly potent greenhouse gases. Up until now, most BECCS plants have produced carbon-containing fuels like ethanol that release some CO2 when they’re burned. And operations that sell the resulting carbon dioxide for one of its most common uses, enhanced oil recovery, will be helping to extract additional fossil fuel from wells. (Mote says it wouldn’t use carbon dioxide for this purpose).

Technically, all these applications can still remove more carbon than is released across the entire process. But making sure that’s actually happening as the sector scales up will require creating common, reliable accounting standards, and that has proved very difficult in similar areas, like forest carbon offsets.

“Walk the talk”

The idea for Mote sprang from a research effort that took shape several years ago when scientists at Lawrence Livermore Lab tried to solve a conundrum facing California.

Toward the end of his administration in 2018, Governor Jerry Brown issued an executive order that, while nonbinding, set a goal of achieving “carbon neutrality” across every sector of the state’s economy by 2045. The riddle: How could the world’s fifth-largest economy achieve that goal when researchers and businesses have yet to develop affordable and clean ways of growing crops, raising livestock, powering planes, and operating other industries?

It’s a local version of the same basic problem that forced climate modelers to factor high levels of BECCS into their projections as they calculated ways to prevent the planet from blowing past 1.5 ˚C of warming, given rising emissions, rising temperatures, and slow progress toward clean energy. If companies, states, or nations can remove enough greenhouse gas from the atmosphere, they can theoretically balance out the levels they’re continuing to emit, or even achieve a net decrease.

In a report published in January 2020, the Lawrence Livermore team concluded that the only way to make the math work for California was to remove more than 125 million metric tons of carbon dioxide per year by 2045. And they highlighted one approach that promised to do so in an especially scalable and affordable way, using an old and well-known process: cooking but not combusting waste biomass, under high temperatures and pressures and with limited amounts of oxygen, to convert it into gases. By adding systems that captured and stored the resulting carbon dioxide, this technique promised to offset the state’s ongoing emissions.

It was the best option for removing the greenhouse gas “from an environmental and economic perspective,” says Joshuah Stolaroff, an author of the resulting paper. A few months later, in March of 2020, Stolaroff and Kennedy cofounded Mote to build a full-size facility to do it.

“This is my attempt to walk the talk,” Stolaroff says.

The first plant

Mote’s first plant, which could go online as early as 2024, would remove 150,000 tons of carbon dioxide a year and produce 7,000 tons of hydrogen.

Mote is in partnership talks with CarbonCure Technologies, which adds captured CO2 to concrete. But the crucial agreement that’s not yet sealed—one that will determine the ultimate location of the plant—is with the owner of a site where the plant could inject the greenhouse gas underground.

Kern County, California, could be an ideal test bed for such a project, given its proximity both to farms and to oil and gas wells. Moreover, the state has numerous climate and pollution policies that could support the effort, including significant subsidies for low-carbon fuels, funding for hydrogen infrastructure, and tightening rules on burning agriculture waste.

photograph of agricultural waste

COURTESY: MOTE

California’s low-carbon fuel standard program, which sets declining limits on the carbon intensity of fuels sold in the state over time, provides credits to companies that sell cleaner fuels. And it effectively creates a market for them. Fuel producers and importers must meet the state’s targets by producing low-carbon fuels, buying them or purchasing credits from other businesses that have generated such fuels or exceeded the goals. Those credits, which each represent a ton of carbon dioxide, have recently traded for around $175.

Mote should also be able to take advantage of a federal tax credit that by 2026 will provide as much as $50 for every ton of carbon dioxide injected into geological formations.

The company expects the heavy trucking industry, which will need to switch to low-carbon fuels under California rules, to serve as an early market for the hydrogen. But hydrogen can also be used to generate electricity, or as a feedstock in steel production and other industrial processes.

Mote’s founders argue that the startup’s particular approach deliberately sidesteps or minimizes some of the known issues with BECCS.

By taking advantage of agricultural and forest by-products, it should avoid competing with food production or creating pressure to convert forests or grasslands to farms. By gasifying biomass, rather than combusting it as some forms of BECCS do, they expect to minimize the resulting air pollution, particularly compared with the amount that would result if farmers burned their waste.

Finally, they argue, the process should result in significant net carbon removal. Not only will they mainly inject the captured CO2 underground, but they plan to use emissions-free vehicles to collect the biomass, while the hydrogen they produce will be a zero-carbon fuel.

Asked whether it will be too costly and complex to continually gather up agricultural waste and trees, Kennedy responded in email that that’s a “very common perspective outside of the Central Valley.” But he stressed there are already highly efficient, large-scale trucking and logistics operations in place, moving vast amounts of goods around the region each day.

“Too fluffy”

For all the promise of BECCS, it’s been slow to get off the ground. The Energy Futures Initiative report only lists 16 projects globally to date, nearly all in the pilot or demonstration phase. Most are existing operations, like ethanol facilities and biomass power plants, that have added on carbon capture systems.

The only large-scale one is Archer-Daniels-Midland’s ethanol facility in Decatur, Illinois. The plant captures up to 1 million tons of carbon per year and sequesters it within a layer of sandstone underground. But, the report notes, it still emits more CO2 than it removes. The company is continuing to refine the carbon capture technology.

The San Francisco startup Charm Industrial has taken a different approach. It’s converting agricultural waste into a carbon-rich liquid, and simply pumping it underground into salt caverns or other types of regulated geological sites. The company earns money by selling carbon credits to companies looking to offset their ongoing or historic emissions in a permanent way. Early customers include Microsoft, Stripe, and Shopify.

Notably, Charm started out by trying to gasify biomass to produce hydrogen as well. But the company soon found that the associated transportation costs were too expensive, as Grist reported earlier, and as the chief executive colorfully reiterated this week.

“Biomass is just too fluffy,” CEO Peter Reinhardt wrote on Twitter, explaining why the company switched directions. “So fluffy we were gonna die.”

Last March, Chevron, Schlumberger New Energy, Microsoft, and Clean Energy Systems announced a partnership to retrofit a power plant in Mendota, California, enabling it to generate electricity from agricultural waste while capturing the resulting emissions. Those would be injected into nearby underground geological formations.

In a press release, the companies said the facility will remove around 300,000 tons of carbon dioxide annually.

There are also efforts underway to create infrastructure to support future BECCS projects. Summit Carbon Solutions of Iowa has proposed a $4.5 billion project to install thousands of miles of pipelines to carry the carbon dioxide that could be captured at dozens of ethanol plants across five states to a storage site in near Bismarck, North Dakota. Building the pipeline will enable the plants to produce “net zero” fuel by 2030, allowing them to sell into markets that have adopted low-carbon fuel standards, the company says.

The proposal, however, has already sparked concerns among landowners and some environmental groups. Critics argue that industrial BECCS plants and supporting infrastructure will carry risks of leaks and pollution, and they fear that poor areas will shoulder the bulk of them, as they have in the past.

A Carbon 180 piece last year laid out a set of principles that should guide BECCS developments and inform federal policy, including safeguards for farm workers, reliable carbon accounting methods, and strong community protections.

Project developers should “start engaging the community early and take in their perspective and account for how it will impact them, their quality of life, their economic opportunities, or their environment,” says Meron Tesfaye, the author and a senior policy analyst at the Bipartisan Policy Center.

Scaling up

In effect, Mote is building an expensive hydrogen plant, which couldn’t compete on its own against the cheaper, dirty version made from natural gas. The economics may work in California, thanks to the state’s climate policies, but it and other BECCS projects will likely face trouble expanding elsewhere.

How widespread BECCS plants become, and how much they’ll actually help to remove carbon dioxide, will likely depend on what sorts of policies and regulations are put in place, and how careful companies are—or are forced to be—about the carbon accounting.

Other US projects could also take advantage of the federal tax credit, but in many cases that won’t be enough on its own to ensure that they can raise financing and earn profits, Tesfaye says. And only a handful of areas have enacted low-carbon fuel standards like California’s, including Oregon and British Columbia. Additional states have proposed or considered them, including Washington, New York, and Colorado.



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Why I became a TechTrekker

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group jumps into the air with snowy mountains in the background


My senior spring in high school, I decided to defer my MIT enrollment by a year. I had always planned to take a gap year, but after receiving the silver tube in the mail and seeing all my college-bound friends plan out their classes and dorm decor, I got cold feet. Every time I mentioned my plans, I was met with questions like “But what about school?” and “MIT is cool with this?”

Yeah. MIT totally is. Postponing your MIT start date is as simple as clicking a checkbox. 

Sofia Pronina (right) was among those who hiked to the Katla Glacier during this year’s TechTrek to Iceland.

COURTESY PHOTO

Now, having finished my first year of classes, I’m really grateful that I stuck with my decision to delay MIT, as I realized that having a full year of unstructured time is a gift. I could let my creative juices run. Pick up hobbies for fun. Do cool things like work at an AI startup and teach myself how to create latte art. My favorite part of the year, however, was backpacking across Europe. I traveled through Austria, Slovakia, Russia, Spain, France, the UK, Greece, Italy, Germany, Poland, Romania, and Hungary. 

Moreover, despite my fear that I’d be losing a valuable year, traveling turned out to be the most productive thing I could have done with my time. I got to explore different cultures, meet new people from all over the world, and gain unique perspectives that I couldn’t have gotten otherwise. My travels throughout Europe allowed me to leave my comfort zone and expand my understanding of the greater human experience. 

“In Iceland there’s less focus on hustle culture, and this relaxed approach to work-life balance ends up fostering creativity. This was a wild revelation to a bunch of MIT students.”

When I became a full-time student last fall, I realized that StartLabs, the premier undergraduate entrepreneurship club on campus, gives MIT undergrads a similar opportunity to expand their horizons and experience new things. I immediately signed up. At StartLabs, we host fireside chats and ideathons throughout the year. But our flagship event is our annual TechTrek over spring break. In previous years, StartLabs has gone on TechTrek trips to Germany, Switzerland, and Israel. On these fully funded trips, StartLabs members have visited and collaborated with industry leaders, incubators, startups, and academic institutions. They take these treks both to connect with the global startup sphere and to build closer relationships within the club itself.

Most important, however, the process of organizing the TechTrek is itself an expedited introduction to entrepreneurship. The trip is entirely planned by StartLabs members; we figure out travel logistics, find sponsors, and then discover ways to optimize our funding. 

two students soaking in a hot spring in Iceland

COURTESY PHOTO

In organizing this year’s trip to Iceland, we had to learn how to delegate roles to all the planners and how to maintain morale when making this trip a reality seemed to be an impossible task. We woke up extra early to take 6 a.m. calls with Icelandic founders and sponsors. We came up with options for different levels of sponsorship, used pattern recognition to deduce the email addresses of hundreds of potential contacts at organizations we wanted to visit, and all got scrappy with utilizing our LinkedIn connections.

And as any good entrepreneur must, we had to learn how to be lean and maximize our resources. To stretch our food budget, we planned all our incubator and company visits around lunchtime in hopes of getting fed, played human Tetris as we fit 16 people into a six-person Airbnb, and emailed grocery stores to get their nearly expired foods for a discount. We even made a deal with the local bus company to give us free tickets in exchange for a story post on our Instagram account. 

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The Download: spying keyboard software, and why boring AI is best

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🧠


This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology.

How ubiquitous keyboard software puts hundreds of millions of Chinese users at risk

For millions of Chinese people, the first software they download onto devices is always the same: a keyboard app. Yet few of them are aware that it may make everything they type vulnerable to spying eyes. 

QWERTY keyboards are inefficient as many Chinese characters share the same latinized spelling. As a result, many switch to smart, localized keyboard apps to save time and frustration. Today, over 800 million Chinese people use third-party keyboard apps on their PCs, laptops, and mobile phones. 

But a recent report by the Citizen Lab, a University of Toronto–affiliated research group, revealed that Sogou, one of the most popular Chinese keyboard apps, had a massive security loophole. Read the full story. 

—Zeyi Yang

Why we should all be rooting for boring AI

Earlier this month, the US Department of Defense announced it is setting up a Generative AI Task Force, aimed at “analyzing and integrating” AI tools such as large language models across the department. It hopes they could improve intelligence and operational planning. 

But those might not be the right use cases, writes our senior AI reporter Melissa Heikkila. Generative AI tools, such as language models, are glitchy and unpredictable, and they make things up. They also have massive security vulnerabilities, privacy problems, and deeply ingrained biases. 

Applying these technologies in high-stakes settings could lead to deadly accidents where it’s unclear who or what should be held responsible, or even why the problem occurred. The DoD’s best bet is to apply generative AI to more mundane things like Excel, email, or word processing. Read the full story. 

This story is from The Algorithm, Melissa’s weekly newsletter giving you the inside track on all things AI. Sign up to receive it in your inbox every Monday.

The ice cores that will let us look 1.5 million years into the past

To better understand the role atmospheric carbon dioxide plays in Earth’s climate cycles, scientists have long turned to ice cores drilled in Antarctica, where snow layers accumulate and compact over hundreds of thousands of years, trapping samples of ancient air in a lattice of bubbles that serve as tiny time capsules. 

By analyzing those cores, scientists can connect greenhouse-gas concentrations with temperatures going back 800,000 years. Now, a new European-led initiative hopes to eventually retrieve the oldest core yet, dating back 1.5 million years. But that impressive feat is still only the first step. Once they’ve done that, they’ll have to figure out how they’re going to extract the air from the ice. Read the full story.

—Christian Elliott

This story is from the latest edition of our print magazine, set to go live tomorrow. Subscribe today for as low as $8/month to ensure you receive full access to the new Ethics issue and in-depth stories on experimental drugs, AI assisted warfare, microfinance, and more.

The must-reads

I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.

1 How AI got dragged into the culture wars
Fears about ‘woke’ AI fundamentally misunderstand how it works. Yet they’re gaining traction. (The Guardian
+ Why it’s impossible to build an unbiased AI language model. (MIT Technology Review)
 
2 Researchers are racing to understand a new coronavirus variant 
It’s unlikely to be cause for concern, but it shows this virus still has plenty of tricks up its sleeve. (Nature)
Covid hasn’t entirely gone away—here’s where we stand. (MIT Technology Review)
+ Why we can’t afford to stop monitoring it. (Ars Technica)
 
3 How Hilary became such a monster storm
Much of it is down to unusually hot sea surface temperatures. (Wired $)
+ The era of simultaneous climate disasters is here to stay. (Axios)
People are donning cooling vests so they can work through the heat. (Wired $)
 
4 Brain privacy is set to become important 
Scientists are getting better at decoding our brain data. It’s surely only a matter of time before others want a peek. (The Atlantic $)
How your brain data could be used against you. (MIT Technology Review)
 
5 How Nvidia built such a big competitive advantage in AI chips
Today it accounts for 70% of all AI chip sales—and an even greater share for training generative models. (NYT $)
The chips it’s selling to China are less effective due to US export controls. (Ars Technica)
+ These simple design rules could turn the chip industry on its head. (MIT Technology Review)
 
6 Inside the complex world of dissociative identity disorder on TikTok 
Reducing stigma is great, but doctors fear people are self-diagnosing or even imitating the disorder. (The Verge)
 
7 What TikTok might have to give up to keep operating in the US
This shows just how hollow the authorities’ purported data-collection concerns really are. (Forbes)
 
8 Soldiers in Ukraine are playing World of Tanks on their phones
It’s eerily similar to the war they are themselves fighting, but they say it helps them to dissociate from the horror. (NYT $)
 
9 Conspiracy theorists are sharing mad ideas on what causes wildfires
But it’s all just a convoluted way to try to avoid having to tackle climate change. (Slate $)
 
10 Christie’s accidentally leaked the location of tons of valuable art 🖼📍
Seemingly thanks to the metadata that often automatically attaches to smartphone photos. (WP $)

Quote of the day

“Is it going to take people dying for something to move forward?”

—An anonymous air traffic controller warns that staffing shortages in their industry, plus other factors, are starting to threaten passenger safety, the New York Times reports.

The big story

Inside effective altruism, where the far future counts a lot more than the present

" "

VICTOR KERLOW

October 2022

Since its birth in the late 2000s, effective altruism has aimed to answer the question “How can those with means have the most impact on the world in a quantifiable way?”—and supplied methods for calculating the answer.

It’s no surprise that effective altruisms’ ideas have long faced criticism for reflecting white Western saviorism, alongside an avoidance of structural problems in favor of abstract math. And as believers pour even greater amounts of money into the movement’s increasingly sci-fi ideals, such charges are only intensifying. Read the full story.

—Rebecca Ackermann

We can still have nice things

A place for comfort, fun and distraction in these weird times. (Got any ideas? Drop me a line or tweet ’em at me.)

+ Watch Andrew Scott’s electrifying reading of the 1965 commencement address ‘Choose One of Five’ by Edith Sampson.
+ Here’s how Metallica makes sure its live performances ROCK. ($)
+ Cannot deal with this utterly ludicrous wooden vehicle
+ Learn about a weird and wonderful new instrument called a harpejji.



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Why we should all be rooting for boring AI

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Why we should all be rooting for boring AI


This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.

I’m back from a wholesome week off picking blueberries in a forest. So this story we published last week about the messy ethics of AI in warfare is just the antidote, bringing my blood pressure right back up again. 

Arthur Holland Michel does a great job looking at the complicated and nuanced ethical questions around warfare and the military’s increasing use of artificial-intelligence tools. There are myriad ways AI could fail catastrophically or be abused in conflict situations, and there don’t seem to be any real rules constraining it yet. Holland Michel’s story illustrates how little there is to hold people accountable when things go wrong.  

Last year I wrote about how the war in Ukraine kick-started a new boom in business for defense AI startups. The latest hype cycle has only added to that, as companies—and now the military too—race to embed generative AI in products and services. 

Earlier this month, the US Department of Defense announced it is setting up a Generative AI Task Force, aimed at “analyzing and integrating” AI tools such as large language models across the department. 

The department sees tons of potential to “improve intelligence, operational planning, and administrative and business processes.” 

But Holland Michel’s story highlights why the first two use cases might be a bad idea. Generative AI tools, such as language models, are glitchy and unpredictable, and they make things up. They also have massive security vulnerabilities, privacy problems, and deeply ingrained biases.  

Applying these technologies in high-stakes settings could lead to deadly accidents where it’s unclear who or what should be held responsible, or even why the problem occurred. Everyone agrees that humans should make the final call, but that is made harder by technology that acts unpredictably, especially in fast-moving conflict situations. 

Some worry that the people lowest on the hierarchy will pay the highest price when things go wrong: “In the event of an accident—regardless of whether the human was wrong, the computer was wrong, or they were wrong together—the person who made the ‘decision’ will absorb the blame and protect everyone else along the chain of command from the full impact of accountability,” Holland Michel writes. 

The only ones who seem likely to face no consequences when AI fails in war are the companies supplying the technology.

It helps companies when the rules the US has set to govern AI in warfare are mere recommendations, not laws. That makes it really hard to hold anyone accountable. Even the AI Act, the EU’s sweeping upcoming regulation for high-risk AI systems, exempts military uses, which arguably are the highest-risk applications of them all. 

While everyone is looking for exciting new uses for generative AI, I personally can’t wait for it to become boring. 

Amid early signs that people are starting to lose interest in the technology, companies might find that these sorts of tools are better suited for mundane, low-risk applications than solving humanity’s biggest problems.

Applying AI in, for example, productivity software such as Excel, email, or word processing might not be the sexiest idea, but compared to warfare it’s a relatively low-stakes application, and simple enough to have the potential to actually work as advertised. It could help us do the tedious bits of our jobs faster and better.

Boring AI is unlikely to break as easily and, most important, won’t kill anyone. Hopefully, soon we’ll forget we’re interacting with AI at all. (It wasn’t that long ago when machine translation was an exciting new thing in AI. Now most people don’t even think about its role in powering Google Translate.) 

That’s why I’m more confident that organizations like the DoD will find success applying generative AI in administrative and business processes. 

Boring AI is not morally complex. It’s not magic. But it works. 

Deeper Learning

AI isn’t great at decoding human emotions. So why are regulators targeting the tech?

Amid all the chatter about ChatGPT, artificial general intelligence, and the prospect of robots taking people’s jobs, regulators in the EU and the US have been ramping up warnings against AI and emotion recognition. Emotion recognition is the attempt to identify a person’s feelings or state of mind using AI analysis of video, facial images, or audio recordings. 

But why is this a top concern? Western regulators are particularly concerned about China’s use of the technology, and its potential to enable social control. And there’s also evidence that it simply does not work properly. Tate Ryan-Mosley dissected the thorny questions around the technology in last week’s edition of The Technocrat, our weekly newsletter on tech policy.

Bits and Bytes

Meta is preparing to launch free code-generating software
A version of its new LLaMA 2 language model that is able to generate programming code will pose a stiff challenge to similar proprietary code-generating programs from rivals such as OpenAI, Microsoft, and Google. The open-source program is called Code Llama, and its launch is imminent, according to The Information. (The Information

OpenAI is testing GPT-4 for content moderation
Using the language model to moderate online content could really help alleviate the mental toll content moderation takes on humans. OpenAI says it’s seen some promising first results, although the tech does not outperform highly trained humans. A lot of big, open questions remain, such as whether the tool can be attuned to different cultures and pick up context and nuance. (OpenAI)

Google is working on an AI assistant that offers life advice
The generative AI tools could function as a life coach, offering up ideas, planning instructions, and tutoring tips. (The New York Times)

Two tech luminaries have quit their jobs to build AI systems inspired by bees
Sakana, a new AI research lab, draws inspiration from the animal kingdom. Founded by two prominent industry researchers and former Googlers, the company plans to make multiple smaller AI models that work together, the idea being that a “swarm” of programs could be as powerful as a single large AI model. (Bloomberg)

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