Widely panned arsenic life paper gets retracted—15 years after brouhaha

Opinions are mixed on the retraction, and the authors continue to defend their work.

In December 2010, a study led by a NASA astrobiology fellow claimed to have found an alien-like microbe in a salty, alkaline lake in California. This extraordinary bacterium could reportedly thrive using the toxic element arsenic in place of phosphorus—otherwise thought essential for life on Earth. It even incorporated arsenic, instead of phosphorus, into the backbone of its DNA, according to the study, which was published online by the prestigious journal Science.

If true, the claims were groundbreaking. And NASA's press team only hyped the potential significance. In press materials, the agency claimed the finding "begs a rewrite of biology textbooks" and "will impact the search for evidence of extraterrestrial life." In a subsequent press conference, the lead author, Felisa Wolfe-Simon, didn't hold back, either, saying, "We've cracked open the door to what's possible for life elsewhere in the universe and that's profound."

Backlash

But upon that very splashy debut, outside scientists quickly identified flaws and problems in the study. When the study finally appeared in the June 3, 2011, print issue of Science, it was accompanied by eight "technical comments" blasting the study claims.

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Echelon kills smart home gym equipment offline capabilities with update

Update also blocks compatibility with popular third-party apps.

A firmware update has killed key functionality for Echelon smart home gym equipment that isn't connected to the Internet.

As explained in a Tuesday blog post by Roberto Viola, who develops the "QZ (qdomyos-zwift)" app that connects Echelon machines to third-party fitness platforms, like Peloton, Strava, and Apple HealthKit, the firmware update forces Echelon machines to connect to Echelon’s servers in order to work properly. A user online reported that as a result of updating his machine, it is no longer syncing with apps like QZ, and he is unable to view his machine's exercise metrics in the Echelon app without an Internet connection.

Affected Echelon machines reportedly only have full functionality, including the ability to share real-time metrics, if a user has the Echelon app active and if the machine is able to reach Echelon’s servers. Viola wrote:

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OpenAI’s most capable AI model, GPT-5, may be coming in August

Sources say new model combines o3 reasoning with general GPT capabilities.

On Thursday, The Verge reported that OpenAI is preparing to launch GPT-5 as early as August, according to sources familiar with the company's plans. The report comes five months after CEO Sam Altman first laid out a roadmap for the next-generation AI model that would unify the company's various AI capabilities. OpenAI CEO Sam Altman revealed in a post on X last week that the company plans to release GPT-5 "soon."

According to The Verge's Tom Warren, Microsoft engineers began preparing server capacity for GPT-5 as early as late May, but testing and development challenges pushed the timeline back. During an appearance on Theo Von's podcast this week, Altman demonstrated the model's capabilities by having it answer a question he couldn't. "I put it in the model, this is GPT-5, and it answered it perfectly," Altman said, saying it gave him a "weird feeling" to see the AI model answer a question that he couldn't.

GPT-5 has been a highly anticipated release since the launch of GPT-4 in March 2023. In fact, we first wrote about rumors of GPT-5's launch in March 2024, but it appears that GPT-5 did not materialize last year because the company saved the "GPT-5" name for a future release.

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Remembering Descent, the once-popular, fully 3D 6DOF shooter

Descent is a big part of gaming history, but not many people talk about it.

I maintain a to-do list of story ideas to write at Ars, and for about a year "monthly column on DOS games I love" has been near the top of the list. When we spoke with the team at GOG, it felt less like an obligation and more like a way to add another cool angle to what I was already planning to do.

I'm going to start with the PC game I played most in high school and the one that introduced me to the very idea of online play. That game is Descent.

As far as I can recall, Descent was the first shooter to be fully 3D with six degrees of freedom. It's not often in today's gaming world that you get something completely and totally new, but that's exactly what Descent was 30 years ago in 1995.

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Delta’s AI spying to “jack up” prices must be banned, lawmakers say

Lawmakers want to prevent companies from using AI to increase prices or lower wages.

One week after Delta announced it is expanding a test using artificial intelligence to charge different prices based on customers' personal data—which critics fear could end cheap flights forever—Democratic lawmakers have moved to ban what they consider predatory surveillance pricing.

In a press release, Reps. Greg Casar (D-Texas) and Rashida Tlaib (D-Mich.) announced the Stop AI Price Gouging and Wage Fixing Act. The law directly bans companies from using "surveillance-based" price or wage setting to increase their profit margins.

If passed, the law would allow anyone to sue companies found unfairly using AI, lawmakers explained in what's called a "one-sheet." That could mean charging customers higher prices—based on "how desperate a customer is for a product and the maximum amount a customer is willing to pay"—or paying employees lower wages—based on "their financial status, personal associations, and demographics."

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Pebble is really back: New Pebble-branded smartwatches are on the way

Earlier this year Pebble founder Eric Migicovsky announced that he was bringing Pebble back from the dead by launching a new company called Core Devices that would start by making two new PebbleOS smartwatches. But while the watches would look a lot li…

Earlier this year Pebble founder Eric Migicovsky announced that he was bringing Pebble back from the dead by launching a new company called Core Devices that would start by making two new PebbleOS smartwatches. But while the watches would look a lot like classic Pebble devices, at the time there was one thing Migicovsky couldn’t […]

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Mistral’s new “environmental audit” shows how much AI is hurting the planet

Individual prompts don’t cost much, but billions together can have aggregate impact.

Despite concerns over the environmental impacts of AI models, it's surprisingly hard to find precise, reliable data on the CO2 emissions and water use for many major large language models. French model-maker Mistral is seeking to fix that this week, releasing details from what it calls a first-of-its-kind environmental audit "to quantify the environmental impacts of our LLMs."

The results, which are broadly in line with estimates from previous scholarly work, suggest the environmental harm of any single AI query is relatively small compared to many other common Internet tasks. But with billions of AI prompts taxing GPUs every year, even those small individual impacts can lead to significant environmental effects in aggregate.

Is AI really destroying the planet?

To generate a life-cycle analysis of its "Large 2" model after just under 18 months of existence, Mistral partnered with sustainability consultancy Carbone 4 and the French Agency for Ecological Transition. Following the French government's Frugal AI guidelines for measuring overall environmental impact, Mistral says its peer-reviewed study looked at three categories: greenhouse gas (i.e., CO2) emissions, water consumption, and materials consumption (i.e., "the depletion of non-renewable resources," mostly through wear and tear on AI server GPUs). Mistral's audit found that the vast majority of CO2 emissions and water consumption (85.5 percent and 91 percent, respectively) occurred during model training and inference, rather than from sources like data center construction and energy used by end-user equipment.

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