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Proponents of the ongoing push for national industrial policy, whether they come from the left or the right, frequently argue that we need to promote certain sectors or technologies to create a manufacturing boom. This boom, we’re told, is necessary to create more high-paying jobs. But I beg to differ. Industrial policy isn’t and shouldn’t be primarily about creating jobs. Its primary purpose, if it should exist at all, lies elsewhere.

The ultimate objective of an economy is not to provide jobs per se, but to improve overall living standards. This happens with an ever-increasing availability of quality goods and services that people voluntarily purchase to enrich their lives. Good jobs are a means to this end; they are not the end itself. This reality is easily proven by asking someone who loves his job if he’d continue to do it if it paid nothing. Virtually everyone’s honest answer would be no.

Now, don’t get me wrong: This requires spending power, and employment is how most of us get that, so the value of employment as a means is high. But it’s still a means. If new jobs were truly the only ends, the government could simply pay one-half of the population to produce outputs and pay the other half to destroy those outputs.

Obviously, any plausible justification for industrial policy must include more than job creation. Interventions are often done in the name of national security. This, for example, is the point of the CHIPS Act, which allocates over $50 billion in subsidies to reshore the production of semiconductors away from Taiwan in the event that China decides to invade its neighbor.

Leaving aside the fact that national security is too often and too easily used to justify economic interventions that have little to do with foreign threats, the argument reveals why industrial policy is no tool of job creation.

Think about it this way: Government favoritism in the form of subsidies, tariffs, and other interventions allocates resources (labor and capital) differently than the way resources are allocated by consumers spending their own money. Ordinarily, businessesspending their investors’ moneycompete for these consumer dollars. Industrial policy rests on the assumption that such market outcomes don’t adequately support higher causes such as national security. If that’s true, it’s all the justification industrial policy needs. Nothing needs to be said about jobs.

Nor should it. I’m skeptical that industrial policy will really spark a manufacturing boom in the first place. First, subsidies, tax credits, and government loans often end up paying firms to do what they were already doing. In addition, government favors tend to reallocate resources politically and not in ways that truly further the national interest. That means shifting resources away from some non-subsidized businesses toward subsidized ones, independently of their economic merit.

Second, the United States doesn’t make these decisions in a vacuum. As Scott Foster explains in the Asia Times, “the globalization of production capacity and new technology development is accelerating away from the United States,” in part because “Europe, Taiwan, South Korea and Japan want to keep their leading-edge technologies at home.”

Finally, the Biden administration’s generous subsidies often come with complications like requiring firms to provide expensive child care or buy American. And to stay friends with European governments, the administration eased requirements that to be eligible for Inflation Reduction Act incentives, electric vehicles should be assembled in North America and exclude critical mineral or battery components from “foreign entities of concern” (i.e., China).

Even if today’s industrial policy does trigger an industrial boom, we shouldn’t expect a corresponding manufacturing job boom. As Noah Smith reminded his readers in a recent blog post, “Most of the actual production work will be done by robots, because we are a rich country with very high labor costs and lots of abundant capital and technology. Automated manufacturing is what we specialize in, not labor-intensive manufacturing.”

The best job creation policy is a strong economy. The government should be content to create a level playing field with transparent rules and strong protection of property and contract rights. Of course, it should also supply public goods like infrastructure and ensure a stable legal system.

Be wary of those who push industrial policy as a means of job creation. It’s a short-sighted approach that distracts us from the more important question, which is whether hindering the market allocation of resources is truly justified for national security or other valid reasons.

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‘Dangerous proposition’: Top scientists warn of out-of-control AI

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'Dangerous proposition': Top scientists warn of out-of-control AI

Yoshua Bengio (L) and Max Tegmark (R) discuss the development of artificial general intelligence during a live podcast recording of CNBC’s “Beyond The Valley” in Davos, Switzerland in January 2025.

CNBC

Artificial general intelligence built like “agents” could prove dangerous as its creators might lose control of the system, two of of the world’s most prominent AI scientists told CNBC.

In the latest episode of CNBC’s “Beyond The Valley” podcast released on Tuesday, Max Tegmark, a professor at the Massachusetts Institute of Technology and the President of the Future of Life Institute, and Yoshua Bengio, dubbed one of the “godfathers of AI” and a professor at the Université de Montréal, spoke about their concerns about artificial general intelligence, or AGI. The term broadly refers to AI systems that are smarter than humans.

Their fears stem from the world’s biggest firms now talking about “AI agents” or “agentic AI” — which companies claim will allow AI chatbots to act like assistants or agents and assist in work and everyday life. Industry estimates vary on when AGI will come into existence.

With that concept comes the idea that AI systems could have some “agency” and thoughts of their own, according to Bengio.

“Researchers in AI have been inspired by human intelligence to build machine intelligence, and, in humans, there’s a mix of both the ability to understand the world like pure intelligence and the agentic behavior, meaning … to use your knowledge to achieve goals,” Bengio told CNBC’s “Beyond The Valley.”

“Right now, this is how we’re building AGI: we are trying to make them agents that understand a lot about the world, and then can act accordingly. But this is actually a very dangerous proposition.”

Bengio added that pursuing this approach would be like “creating a new species or a new intelligent entity on this planet” and “not knowing if they’re going to behave in ways that agree with our needs.”

“So instead, we can consider, what are the scenarios in which things go badly and they all rely on agency? In other words, it is because the AI has its own goals that we could be in trouble.”

The idea of self-preservation could also kick in, as AI gets even smarter, Bengio said.

“Do we want to be in competition with entities that are smarter than us? It’s not a very reassuring gamble, right? So we have to understand how self-preservation can emerge as a goal in AI.”

AI tools the key

For MIT’s Tegmark, the key lies in so-called “tool AI” — systems that are created for a specific, narrowly-defined purpose, but that don’t have to be agents.

Tegmark said a tool AI could be a system that tells you how to cure cancer, or something that possesses “some agency” like a self-driving car “where you can prove or get some really high, really reliable guarantees that you’re still going to be able to control it.”

“I think, on an optimistic note here, we can have almost everything that we’re excited about with AI … if we simply insist on having some basic safety standards before people can sell powerful AI systems,” Tegmark said.

“They have to demonstrate that we can keep them under control. Then the industry will innovate rapidly to figure out how to do that better.”

Tegmark’s Future of Life Institute in 2023 called for a pause to the development of AI systems that can compete with human-level intelligence. While that has not happened, Tegmark said people are talking about the topic, and now it is time to take action to figure out how to put guardrails in place to control AGI.

“So at least now a lot of people are talking the talk. We have to see if we can get them to walk the walk,” Tegmark told CNBC’s “Beyond The Valley.”

“It’s clearly insane for us humans to build something way smarter than us before we figured out how to control it.”

There are several views on when AGI will arrive, partly driven by varying definitions.

OpenAI CEO Sam Altman said his company knows how to build AGI and said it will arrive sooner than people think, though he downplayed the impact of the technology.

“My guess is we will hit AGI sooner than most people in the world think and it will matter much less,” Altman said in December.

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Winklevoss brothers mull IPO for Gemini crypto exchange: Report

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Winklevoss brothers mull IPO for Gemini crypto exchange: Report

The Winklevoss brothers are reportedly considering another IPO for Gemini after deciding not to pursue a public listing in 2021.

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Environment

There’s finally(!) an automatic fix to restart failed EV charging sessions

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There's finally(!) an automatic fix to restart failed EV charging sessions

The ChargeX Consortium has figured out how to automatically restart failed EV charging sessions at fast chargers so drivers don’t have to.

Every EV driver has been there. You plug in, walk away to grab food or run errands, and expect your battery to be juicing up at a DC fast charger, only to return and realize nothing happened. Maybe the session failed, or maybe the charger glitched. Either way, you’re stuck unplugging, plugging back in, and now it’s going to take twice as long to charge.

The ChargeX Consortium (National Charging Experience Consortium), which is made up of researchers from the National Renewable Energy Laboratory (NREL), Idaho National Laboratory (INL), and Argonne National Laboratory (ANL), along with industry stakeholders, has come up with a smart fix for one of the most frustrating parts of public EV charging: failed sessions.

Its new report highlights the benefits of what it calls “seamless retry” – a hands-free tech solution that automatically restarts failed charging attempts. In other words, the driver no longer needs to physically unplug and replug the charging connector when a charging session fails.

The consortium’s new tech is designed specifically for DC fast charging. The “novel mechanism” automatically resets both the EV and the charger, then restarts the session in the background, so drivers don’t have to return to the car – or even have to think about it.

Ed Watt, a researcher at NREL and lead author of the “Recommended Practice Seamless Retry for Electric Vehicle Charging” report, said, “With a seamless retry mechanism in place, an EV driver at a retail center can plug in a charging connector, provide user input data, leave to shop, and feel confident that they will return to a charged vehicle.” (Click on the report link to see the specifics of how the novel mechanism works.)

The researchers didn’t just focus on the perks of seamless retry – they also looked at potential downsides. One concern was the extra time it might take for the system to restart a failed session, which could leave drivers frustrated. To tackle that, the consortium suggests that the EV industry provide transparency in the form of real-time status updates, insights into what went wrong, and recommendations based on the type of charging failure and number of attempts made.

Going forward, as the user experience becomes clearer, more work will fine-tune seamless retry. The ChargeX Consortium will keep refining the system – developing smarter, more targeted retry methods, ironing out implementation details, and running verification tests to make sure everything works seamlessly in the real world.

Read more: The latest US EV sales and charger growth – in numbers


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