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Wikipedia Home Page, Closeup on LCD Screen
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WIKI BIRTHDAY TO YOU

As Wikipedia turns 25, its future will depend on AI — for better or worse

The online encyclopedia is celebrating 25 years since launch, but its next quarter century will likely be defined by the AI giants it’s now signing content deals with.

Millie Giles

January 15 is known to dedicated “Wikipedians” — among them, presumably, many of the ~250,000 volunteers that write and edit the site’s ~65 million articles across more than 300 languages — as Wikipedia Day.

On this day in 2001, cofounder Jimmy Wales first wrote “Hello, World!” onto a blank web page that would soon become one of the world’s most popular websites for the next 2.5 decades — ballooning with knowledge, citations, and backlinks provided for free (as always) by scores of contributors.

This year, though, with Wikipedia looking toward a mounting tech superpower that could pose its biggest existential threat to date, the online encyclopedia might want to turn to its own “quarter-life crisis” page.

This article has been skimmed through by AI

On Thursday, Wikimedia Foundation, the site’s nonprofit operator, announced partnerships with several Big Tech giants — including Microsoft, Meta, Amazon, Perplexity, and Mistral AI — that will see the companies pay to use Wikipedia’s vast collection of articles to train their AI models.

As reported by The Verge, these deals are part of the Wikimedia Enterprise program, which was launched in 2021 to allow companies to use a premium version of Wikipedia’s content library for a fee. According to Wikimedia, many of the listed companies joined the program over the past year, or even before that — meaning that the site has actually been helping to grow the AI tech that threatens to supersede it.

Wikipedia at 25 - site views
Sherwood News

Looking at Wikipedia’s site visits, the past 20 months in a row have seen total page views slump behind figures recorded for the year prior — coinciding, perhaps not so coincidentally, with the dizzying rise of AI chatbots. Indeed, traffic was down 9% year over year in April, the same month that visits to ChatGPT officially overtook visits to Wikipedia.

Like Stack Overflow, Wikipedia is now caught up in tech’s circular coal mine, where the companies that feed on the platform’s information trove might ultimately end up being the ones that replace it. Still, Wales seemed rosy enough about the situation, telling the Associated Press, “I’m very happy personally that AI models are training on Wikipedia data because it’s human curated.”

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Jon Keegan

EPA: xAI’s Colossus data center illegally used gas turbines without permits

The Environmental Protection Agency has ruled that xAI violated the law when it used dozens of portable gas generators for its Colossus 1 data center without air quality permits.

When xAI set out to build Colossus 1 in Memphis, Tennessee, CEO Elon Musk wanted to move with unprecedented speed, avoiding all of the red tape that could slow such a big project down.

To power the 1-gigawatt data center, Musk took advantage of a local loophole that allowed portable gas generators to be used without any permits, as long as they did not spend more than 364 days in the same spot. That allowed xAI to bring in dozens of truck-sized gas generators to quickly supply the massive amount of power the data center needed to train xAI’s Grok model.

The new EPA rule says the use of such portable generators falls under federal regulation, and the company did need air quality permits to operate the turbines. xAI is also using dozens of such generators to power its Colossus 2 data center just over the border in Alabama.

To power the 1-gigawatt data center, Musk took advantage of a local loophole that allowed portable gas generators to be used without any permits, as long as they did not spend more than 364 days in the same spot. That allowed xAI to bring in dozens of truck-sized gas generators to quickly supply the massive amount of power the data center needed to train xAI’s Grok model.

The new EPA rule says the use of such portable generators falls under federal regulation, and the company did need air quality permits to operate the turbines. xAI is also using dozens of such generators to power its Colossus 2 data center just over the border in Alabama.

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Rani Molla

Trump to push Big Tech to fund new power plants as AI drives up electricity costs

President Donald Trump is expected to announce a plan Friday morning that would require Big Tech companies to bid on 15-year contracts for new electricity generation capacity. The move would effectively force companies to help fund new power plants in the PJM region as soaring demand from AI data centers pushes up electricity costs across the US power grid.

Earlier this week, Trump called on tech giants to “pay their own way,” arguing that households and small businesses should not bear the cost of power infrastructure needed to support energy-hungry data centers.

Microsoft quickly responded, saying it would “pay utility rates that are high enough to cover our electricity costs,” along with committing to other changes aimed at easing pressure on the grid. Other major tech companies are expected to follow suit, though Wedbush Securities analyst Dan Ives warned the added costs could slow the pace of data center build-outs.

As we’ve noted, forcing tech companies to shoulder higher electricity costs is likely to hit some firms harder than others. Companies like Microsoft, Google, and Amazon can pass at least some of those costs on to customers by selling data center capacity downstream. Meta, in contrast, does not have a cloud business, meaning its AI ambitions lack a direct revenue stream to offset rising power costs.

So far tech stocks don’t appear to be affected much in premarket trading. However utility companies most levered to the AI boom certainly are, with Vistra, Constellation Energy, and Talen Energy deep in the red ahead of the open as analysts at Jefferies warn that these firms face risks from this plan.

Earlier this week, Trump called on tech giants to “pay their own way,” arguing that households and small businesses should not bear the cost of power infrastructure needed to support energy-hungry data centers.

Microsoft quickly responded, saying it would “pay utility rates that are high enough to cover our electricity costs,” along with committing to other changes aimed at easing pressure on the grid. Other major tech companies are expected to follow suit, though Wedbush Securities analyst Dan Ives warned the added costs could slow the pace of data center build-outs.

As we’ve noted, forcing tech companies to shoulder higher electricity costs is likely to hit some firms harder than others. Companies like Microsoft, Google, and Amazon can pass at least some of those costs on to customers by selling data center capacity downstream. Meta, in contrast, does not have a cloud business, meaning its AI ambitions lack a direct revenue stream to offset rising power costs.

So far tech stocks don’t appear to be affected much in premarket trading. However utility companies most levered to the AI boom certainly are, with Vistra, Constellation Energy, and Talen Energy deep in the red ahead of the open as analysts at Jefferies warn that these firms face risks from this plan.

tech
Jon Keegan

OpenAI working to build a US supply chain for its hardware plans, including robots

When OpenAI purchased Jony Ive’s I/O, it entered the hardware business. The company is currently ramping up to produce a mysterious AI-powered gadget.

But OpenAI plans on making more than just consumer gadgets — it also plans on making data center hardware, and even robots.

Bloomberg reports that OpenAI has been on the hunt for US-based suppliers for silicon and motors for robotics, as well as cooling systems for data centers.

AI companies are looking toward robots as a logical next step for finding applications for their models.

OpenAI told Bloomberg that US companies building the AI brains of robots might have an edge against the Chinese hardware manufacturers that are currently making some impressive humanoid robots.

Bloomberg reports that OpenAI has been on the hunt for US-based suppliers for silicon and motors for robotics, as well as cooling systems for data centers.

AI companies are looking toward robots as a logical next step for finding applications for their models.

OpenAI told Bloomberg that US companies building the AI brains of robots might have an edge against the Chinese hardware manufacturers that are currently making some impressive humanoid robots.

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