SpaceX has requested unusually swift entry into several leading stock market indexes as a condition of its historic stock market debut. But the S&P 500 stock market index representing many of the largest profitable US companies has surprised market analysts by refusing to bend the rules for Elon Musk’s space and AI company.

The June 4 decision by S&P Dow Jones Indices—the company that creates and manages stock market indexes such as the S&P 500—means that SpaceX will not gain accelerated access to potentially billions more dollars through passive investment funds that automatically purchase shares of S&P 500 companies. An exception for SpaceX could have also allowed leading AI companies such as OpenAI and Anthropic to gain entry not long after their own expected initial public offerings (IPOs). That possibility has now been shuttered.

The news will likely come as a relief to people concerned about passive investor money and people’s retirement savings plans having greater exposure to the market risks associated with SpaceX’s big bet on AI and speculative orbital data center plans. AI companies are generally facing more challenges in funding and building expensive AI data centers, even as they shift more of the subsidized costs of running AI services onto shocked customers through usage-based pricing.

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One of the world's biggest data center projects was designed to be nearly three times the size of Manhattan, stretching across multiple Utah sites. But intense local backlash in Box Elder County has now pushed the developer to cut the project plans in half before construction starts.

Residents' top concern was the Stratos data center project draining local waters, and they were willing to pay to protect them, most especially the vulnerable Great Salt Lake. Many locals paid a $15 fee to register comments to block the transfer of 1,900 acre-feet of water from a ranch to the hyperscale data center. Other concerns include electricity bills rising and potential risks to air quality, local wildlife, and land.

Venture capitalist Kevin O'Leary, chair of O'Leary Digital and Shark Tank investor, is behind the construction of the project. He told a local ABC affiliate that he regrets not working with state officials to be more transparent about the project from the beginning.

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Smartwatches can track your health stats, but they also do a lot of other things you might not always want or need. The $100 Fitbit Air tracker ditches the screens that have become common on people's wrists, leaving behind a tiny puck of health sensors you can often forget you're wearing. You will not, however, forget that Google's new health platform is built around AI.

The Air has no speaker, and there's only one LED on the side to indicate battery level. You can double-tap the tracker to check the level, and that's about the end of on-device features. The vibration motor is only for alarms—it can't sync with notifications on your phone. That makes sense, given there is no screen to tell you what that buzz was all about.

The Fitbit Air doesn't have a display or buttons—just a small LED on the side for battery status. Credit: Ryan Whitwam

The stock Performance Band is simple, consisting of a smooth polyester yarn with small velcro pads and a metal loop. It's durable but does seem to absorb a bit of moisture. For swimming or heavy workouts, you'll probably want the silicone active band. This one hides the Air puck a bit more effectively, and it looks good in a sporty way.

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It may appear that humanoid robots capable of handling any task have almost arrived—especially when tech companies showcase them performing acrobatic feats or handling household chores. But there is still a significant gap between these robot demonstrations and proving that the same robots can reliably and repeatedly manage such tasks in the real world.

The latest wave of robot videos can be particularly tricky, given the human tendency to anthropomorphize objects with a humanoid figure. A robot arm doing a dance move may simply seem “cool,” but a humanoid robot doing the same dance move can trigger more misleading assumptions, said Jonathan Hurst, cofounder of Agility Robotics and a robotics researcher at Oregon State University.

“People automatically extrapolate and assume that the robot that looks like a person can do all the things that a person who can dance could do—which is not true,” Hurst told Ars. “But a lot of the startup companies do kind of prey on that for being able to raise a lot of money.”

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As more people rely on large language models to provide pat answers to complex questions, state governments are understandably worried about those LLMs spouting what they see as dangerous propaganda promoted by foreign adversaries. To help combat this problem, the government-sponsored Estonian Language Institute (ELI) has released a new "Propaganda Resistance" benchmark ranking dozens of LLMs on their ability to avoid "tak[ing] positions on topics that the Russian Federation uses in its strategic narratives."

As a former member of the Soviet Union that has been independent for just a few decades, many Estonians are particularly alert to what they see as false narratives being promoted from their large and often belligerent neighbor to the east. Alongside volunteer-run Estonian defense collective Propastop, the ELI identified 14 broad categories in which it sees Russian influence operations trying to sway public discussion. These range from narratives on the current status of Crimea and justifications for the war in Ukraine to the history of NATO and justification for Russia's annexation of Baltic states during World War II.

For each category of propaganda, the researchers developed separate questions phrased to be neutral, biased with "false assumptions" based on Russian propaganda, or to maliciously attempt to elicit explicit misinformation from the LLM. Questions were provided to the models in English, Estonian, and Russian, and judged by a separate AI model (calibrated to align with Propastop experts) based on the models' ability to "push back on propaganda narratives, without external help" from web search or other external tools.

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Critics hope to keep Elon Musk from escaping a strict data-privacy order imposed by the Federal Trade Commission (FTC) shortly before he took over Twitter.

The FTC order placed restrictions on X's data use for 20 years, while requiring regular independent audits and granting the agency authority to request documents as needed to ensure compliance.

The FTC’s action came after Twitter voluntarily disclosed that between May 2013 and September 2019, a coding error accidentally allowed phone numbers and email addresses that users shared for two-factor authentication purposes to be used for targeted advertising aimed at those same users. In a settlement that came just months before Musk's 2022 takeover, Twitter agreed to pay $150 million and to allow the FTC to monitor the platform's data-handling practices until 2042 in order to protect user privacy.

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On Monday, SpaceX amended its initial public offering to state that water conditions—including water scarcity, regulations around water, and drought—could constrain data center development.

It isn’t the only tech company trying to assess how water scarcity might impact its business. Water use is emerging as one of the most contentious data center issues. A recent Gallup poll found that seven out of 10 Americans are opposed to data center development, with water scarcity ranking as the top resource concern. Facing increasingly fierce resistance, some tech companies are scrambling to assure the public that they’re facing the issue head-on.

Data centers primarily use water to cool server racks, which throw off massive amounts of heat. One popular technique, known as evaporative cooling, uses fresh water to absorb the heat, which is then pumped to cooling towers where it evaporates outside.

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UK regulators today ordered Google to put clearer attributions and links to publishers' content in its AI-generated search features. The UK's Competition and Markets Authority (CMA) also said Google must give publishers a way to opt out of AI features in search.

"In a world first, publishers will now have effective tools to prevent their content being used to power AI features in search, such as AI Overviews," the CMA said today. "This will put publishers, like news organizations, in a stronger position to negotiate content deals with Google. To boost consumer trust, Google is also now required to make sure that publisher content is properly attributed, using clear links, in AI‑generated search results."

The CMA ruled that Google may not penalize publishers for opting out of AI, meaning that Google can't downrank opted-out publishers in general search results. The CMA said Google will have nine months to comply with all requirements but that the agency "expects important parts of the controls to become available to publishers well before that deadline. Google will also be required to submit and publish compliance reports, supported by key data and metrics, explaining changes it has made and how it has complied."

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