Indiana Faces a Data Center Backlash

Curated on Posted on by Stefaan Verhulst

Article by Matthew Zeitlin: “Indiana has power. Indiana has transmission. Indiana has a business-friendly Republican government. Indiana is close to Chicago but — crucially — not in Illinois. All of this has led to a huge surge of data center development in the “Crossroads of America.” It has also led to an upswell of local opposition.

There are almost 30 active data center proposals in Indiana, plus five that have already been rejected in the past year, according to data collected by the environmentalist group Citizens Action Coalition. Google, Amazon, and Meta have all announced projects in the state since the beginning of 2024.

Nipsco, one of the state’s utilities, has projected 2,600 megawatts worth of new load by the middle of the next decade as its base scenario, mostly attributable to “large economic development projects.” In a more aggressive scenario, it sees 3,200 megawatts of new load — that’s three large nuclear reactors’ worth — by 2028 and 8,600 megawatts by 2035. While short of, say, the almost 36,500 megawatts worth of load growth planned in Georgia for the next decade, it’s still a vast range of outcomes that requires some kind of advanced planning.

That new electricity consumption will likely be powered by fossil fuels. Projected load growth in the state has extended a lifeline to Indiana’s coal-fired power plants, with retirement dates for some of the fleet being pushed out to late in the 2030s. It’s also created a market for new natural gas-fired plants that utilities say are necessary to power the expected new load.

State and local political leaders have greeted these new data center projects with enthusiasm, Ben Inskeep, the program director at CAC, told me. “Economic development is king here,” he said. “That is what all the politicians and regulators say their number one concern is: attracting economic development.”..(More)”.

A World of Unintended Consequences

Curated on Posted on by Stefaan Verhulst

Essay by Edward Tenner: “One of the great, underappreciated facts about our technology-driven age is that unintended consequences tend to outnumber intended ones. As much as we would like to believe that we are in control, scholars who have studied catastrophic failures have shown that humility is ultimately the only justifiable attitude…

Here’s a story about a revolution that never happened. Nearly 90 years ago, a 26-year-old newly credentialed Harvard sociology PhD and future American Philosophical Society member, Robert K. Merton, published a paper in the American Sociological Review that would become one of the most frequently cited in his discipline: “The Unanticipated Consequences of Purposive Social Action.”While the language of the paper was modest, it offered an obvious but revolutionary insight: many or most phenomena in the social world are unintended – for better or worse. Today, even management gurus like Tom Peters acknowledge that, “Unintended consequences outnumber intended consequences. … Strategies rarely unfold as we imagined. Intended consequences are rare.”

Merton had promised a monograph on the history and analysis of the problem, with its “vast scope and manifold implications.” Somewhere along the way, however, he abandoned the project, perhaps because it risked becoming a book about everything. Moreover, his apparent retreat may have discouraged other social scientists from attempting it, revealing one of the paradoxes of the subject’s study: because it is so universal and important, it may be best suited for case studies rather than grand theories.

Ironically, while unintentionality-centered analysis might have produced a Copernican revolution in social science, it is more likely that it would have unleashed adverse unintended consequences for any scholar attempting it – just as Thomas Kuhn’s idea of scientific paradigms embroiled him in decades of controversies. Besides, there are also ideological barriers to the study of unintended consequences. For every enthusiast there seems to be a hater, and dwelling on the unintended consequences of an opponent’s policies invites retaliation in kind.

This was economist Albert O. Hirschman’s point in his own critique of the theme. Hirschman himself had formidable credentials as a student of unintended consequences. One of his most celebrated and controversial ideas, the “hiding hand,” was a spin-off of Adam Smith’s famous metaphor for the market (the invisible hand). In Development Projects Observed, Hirschman noted that many successful programs might never have been launched had all the difficulties been known; but once a commitment was made, human ingenuity prevailed, and new and unforeseen solutions were found. The Sydney Opera House, for example, exceeded its budget by 1,300%, but it turned out to be a bargain once it became Australia’s unofficial icon…(More)”

Building Community-Centered AI Collaborations

Curated on Posted on by Stefaan Verhulst

Article by Michelle Flores Vryn and Meena Das: “AI can only boost the under-resourced nonprofit world if we design it to serve the communities we care about. But as nonprofits consider how to incorporate AI into their work, many look to expertise from tech sector, expecting tools and implementation advice as well as ethical guidance. Yet when mission-driven entities—with a strong focus on people, communities, and equity—partner solely with tech companies, they may encounter a variety of obstacles, such as:

  1. Limited understanding of community needs: Sector-specific knowledge is essential for aligning AI with nonprofit missions, something many tech companies lack.
  2. Bias in AI models: Without diverse input, AI models may exacerbate biases or misrepresent the communities that nonprofits serve.
  3. Resource constraints: Tech solutions often presume budgets or capacity beyond what nonprofits can bring to bear, creating a reliance on tools that fit the nonprofit context.

We need creative, diverse collaborations across various fields to ensure that technology is deployed in ways that align with nonprofit values, build trust, and serve the greater good. Seeking partners outside of the tech world helps nonprofits develop AI solutions that are context-aware, equitable, and resource-sensitive. Most importantly, nonprofit practitioners must deeply consider our ideal future state: What does an AI-empowered nonprofit sector look like when it truly centers human well-being, community agency, and ethical technology?

Imagining this future means not just reacting to emerging technology but proactively shaping its trajectory. Instead of simply adapting to AI’s capabilities, nonprofits should ask:

  • What problems do we truly need AI to solve?
  • Whose voices must be centered in AI decision-making?
  • How do we ensure AI remains a tool for empowerment rather than control?..(More)”.

How Bad Is China’s Economy? The Data Needed to Answer Is Vanishing

Curated on Posted on by Stefaan Verhulst

Article by Rebecca Feng and Jason Douglas: “Not long ago, anyone could comb through a wide range of official data from China. Then it started to disappear. 

Land sales measures, foreign investment data and unemployment indicators have gone dark in recent years. Data on cremations and a business confidence index have been cut off. Even official soy sauce production reports are gone.

In all, Chinese officials have stopped publishing hundreds of data points once used by researchers and investors, according to a Wall Street Journal analysis. 

In most cases, Chinese authorities haven’t given any reason for ending or withholding data. But the missing numbers have come as the world’s second biggest economy has stumbled under the weight of excessive debt, a crumbling real-estate market and other troubles—spurring heavy-handed efforts by authorities to control the narrative.China’s National Bureau of Statistics stopped publishing some numbers related to unemployment in urban areas in recent years. After an anonymous user on the bureau’s website asked why one of those data points had disappeared, the bureau said only that the ministry that provided it stopped sharing the data.

The disappearing data have made it harder for people to know what’s going on in China at a pivotal time, with the trade war between Washington and Beijing expected to hit China hard and weaken global growth. Plunging trade with the U.S. has already led to production shutdowns and job cuts.

Getting a true read on China’s growth has always been tricky. Many economists have long questioned the reliability of China’s headline gross domestic product data, and concerns have intensified recently. Official figures put GDP growth at 5% last year and 5.2% in 2023, but some have estimated that Beijing overstated its numbers by as much as 2 to 3 percentage points. 

To get what they consider to be more realistic assessments of China’s growth, economists have turned to alternative sources such as movie box office revenues, satellite data on the intensity of nighttime lights, the operating rates of cement factories and electricity generation by major power companies. Some parse location data from mapping services run by private companies such as Chinese tech giant Baidu to gauge business activity. 

One economist said he has been assessing the health of China’s services sector by counting news stories about owners of gyms and beauty salons who abruptly close up and skip town with users’ membership fees…(More)”.

These Startups Are Building Advanced AI Models Without Data Centers

Curated on Posted on by Stefaan Verhulst

Article by Will Knight: “Researchers have trained a new kind of large language model (LLM) using GPUs dotted across the world and fed private as well as public data—a move that suggests that the dominant way of building artificial intelligence could be disrupted.

Article by Will Knight: “Flower AI and Vana, two startups pursuing unconventional approaches to building AI, worked together to create the new model, called Collective-1.

Flower created techniques that allow training to be spread across hundreds of computers connected over the internet. The company’s technology is already used by some firms to train AI models without needing to pool compute resources or data. Vana provided sources of data including private messages from X, Reddit, and Telegram.

Collective-1 is small by modern standards, with 7 billion parameters—values that combine to give the model its abilities—compared to hundreds of billions for today’s most advanced models, such as those that power programs like ChatGPT, Claude, and Gemini.

Nic Lane, a computer scientist at the University of Cambridge and cofounder of Flower AI, says that the distributed approach promises to scale far beyond the size of Collective-1. Lane adds that Flower AI is partway through training a model with 30 billion parameters using conventional data, and plans to train another model with 100 billion parameters—close to the size offered by industry leaders—later this year. “It could really change the way everyone thinks about AI, so we’re chasing this pretty hard,” Lane says. He says the startup is also incorporating images and audio into training to create multimodal models.

Distributed model-building could also unsettle the power dynamics that have shaped the AI industry…(More)”

Digital Public Infrastructure Could Make a Better Internet

Curated on Posted on by Stefaan Verhulst

Essay by Akash Kapur: “…The advent of AI has intensified geopolitical rivalries, and with them the risks of fragmentation, exclusion, and hyper-concentration that are already so prevalent. The prospects of a “Splinternet” have never appeared more real. The old dream of a global digital commons seems increasingly quaint; we are living amid what Yanis Varoufakis, the former Greek finance minister, calls “technofeudalism.”

DPI suggests it doesn’t have to be this way. The approach’s emphasis on loosening chokeholds, fostering collaboration, and reclaiming space from monopolies represents an effort to recuperate some of the internet’s original promise. At its most aspirational, DPI offers the potential for a new digital social contract: a rebalancing of public and private interests, a reorientation of the network so that it advances broad social goals even while fostering entrepreneurship and innovation. How fitting it would be if this new model were to emerge not from the entrenched powers that have so long guided the network, but from a handful of nations long confined to the periphery—now determined to take their seats at the table of global technology…(More)”.

How to save a billion dollars

Curated on Posted on by Stefaan Verhulst

Essay by Ann Lewis: “The persistent pattern of billion-dollar technology modernization failures in government stems not from a lack of good intentions, but from structural misalignments in incentives, expertise, and decision-making authority. When large budgets meet urgency, limited in-house technical capacity, and rigid, compliance-driven procurement processes, projects become over-scoped and detached from the needs of users and mission outcomes. This undermines service delivery, wastes taxpayer dollars, and adds unnecessary risk to critical systems supporting national security and public safety.

We know what causes failure, we know what works, and we’ve proven it before. It isn’t easy and shortcuts don’t work — but success is entirely achievable, and that should be the expectation. The solution is not simply to spend more, or cancel contracts, or fire people, but to fundamentally rethink how public institutions build and manage technology, and rethink how public-private partnerships are structured. Government services underpinned by technology should be funded as ongoing capabilities rather than one-time investments, IT procurement processes should embed experienced technical leadership where key decisions are made, and all implementation projects should adopt iterative, outcomes-driven approaches. 

Proven examples—from VA.gov to SSA’s recent CCaaS success—show that when governments align incentives, prioritize real user needs, and invest in internal capacity, they can build services faster, for less money, and with dramatically better results…(More)”.

Brazil’s AI-powered social security app is wrongly rejecting claims

Curated on Posted on by Stefaan Verhulst

Article by Gabriel Daros: “Brazil’s social security institute, known as INSS, added AI to its app in 2018 in an effort to cut red tape and speed up claims. The office, known for its long lines and wait times, had around 2 million pending requests for everything from doctor’s appointments to sick pay to pensions to retirement benefits at the time. While the AI-powered tool has since helped process thousands of basic claims, it has also rejected requests from hundreds of people like de Brito — who live in remote areas and have little digital literacy — for minor errors.

The government is right to digitize its systems to improve efficiency, but that has come at a cost, Edjane Rodrigues, secretary for social policies at the National Confederation of Workers in Agriculture, told Rest of World.

“If the government adopts this kind of service to speed up benefits for the people, this is good. We are not against it,” she said. But, particularly among farm workers, claims can be complex because of the nature of their work, she said, referring to cases that require additional paperwork, such as when a piece of land is owned by one individual but worked by a group of families. “There are many peculiarities in agriculture, and rural workers are being especially harmed” by the app, according to Rodrigues.

“Each automated decision is based on specified legal criteria, ensuring that the standards set by the social security legislation are respected,” a spokesperson for INSS told Rest of World. “Automation does not work in an arbitrary manner. Instead, it follows clear rules and regulations, mirroring the expected standards applied in conventional analysis.”

Governments across Latin America have been introducing AI to improve their processes. Last year, Argentina began using ChatGPT to draft court rulings, a move that officials said helped cut legal costs and reduce processing times. Costa Rica has partnered with Microsoft to launch an AI tool to optimize tax data collection and check for fraud in digital tax receipts. El Salvador recently set up an AI lab to develop tools for government services.

But while some of these efforts have delivered promising results, experts have raised concerns about the risk of officials with little tech know-how applying these tools with no transparency or workarounds…(More)”.

Exit to Open

Curated on Posted on by Stefaan Verhulst

Article by Jim Fruchterman and Steve Francis: “What happens when a nonprofit program or an entire organization needs to shut down? The communities being served, and often society as a whole, are the losers. What if it were possible to mitigate some of that damage by sharing valuable intellectual property assets of the closing effort for longer term benefit? Organizations in these tough circumstances must give serious thought to a responsible exit for their intangible assets.

At the present moment of unparalleled disruption, the entire nonprofit sector is rethinking everything: language to describe their work, funding sources, partnerships, and even their continued existence. Nonprofit programs and entire charities will be closing, or being merged out of existence. Difficult choices are being made. Who will fill the role of witness and archivist to preserve the knowledge of these organizations, their writings, media, software, and data, for those who carry on, either now or in the future?

We believe leaders in these tough days should consider a model we’re calling Exit to Open (E2O) and related exit concepts to safeguard these assets going forward…

Exit to Open (E2O) exploits three elements:

  1. We are in an era where the cost of digital preservation is low; storing a few more bytes for a long time is cheap.
  2. It’s far more effective for an organization’s staff to isolate and archive critical content than an outsider with limited knowledge attempting to do so later.
  3. These resources are of greatest use if there is a human available to interpret them, and a deliberate archival process allows for the identification of these potential interpreters…(More)”.

Hundreds of scholars say U.S. is swiftly heading toward authoritarianism

Curated on Posted on by Stefaan Verhulst

Article by Frank Langfitt: “A survey of more than 500 political scientists finds that the vast majority think the United States is moving swiftly from liberal democracy toward some form of authoritarianism.

In the benchmark survey, known as Bright Line Watch, U.S.-based professors rate the performance of American democracy on a scale from zero (complete dictatorship) to 100 (perfect democracy). After President Trump’s election in November, scholars gave American democracy a rating of 67. Several weeks into Trump’s second term, that figure plummeted to 55.

“That’s a precipitous drop,” says John Carey, a professor of government at Dartmouth and co-director of Bright Line Watch. “There’s certainly consensus: We’re moving in the wrong direction.”…Not all political scientists view Trump with alarm, but many like Carey who focus on democracy and authoritarianism are deeply troubled by Trump’s attempts to expand executive power over his first several months in office.

“We’ve slid into some form of authoritarianism,” says Steven Levitsky, a professor of government at Harvard, and co-author of How Democracies Die. “It is relatively mild compared to some others. It is certainly reversible, but we are no longer living in a liberal democracy.”…Kim Lane Scheppele, a Princeton sociologist who has spent years tracking Hungary, is also deeply concerned: “We are on a very fast slide into what’s called competitive authoritarianism.”

When these scholars use the term “authoritarianism,” they aren’t talking about a system like China’s, a one-party state with no meaningful elections. Instead, they are referring to something called “competitive authoritarianism,” the kind scholars say they see in countries such as Hungary and Turkey.

In a competitive authoritarian system, a leader comes to power democratically and then erodes the system of checks and balances. Typically, the executive fills the civil service and key appointments — including the prosecutor’s office and judiciary — with loyalists. He or she then attacks the media, universities and nongovernmental organizations to blunt public criticism and tilt the electoral playing field in the ruling party’s favor…(More)”.