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Mars has competition from Venus after new study shows signs of life

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NASA and SpaceX are simultaneously planning their trips to Mars and the Moon, but a recent study published in Nature Astronomy has brought a different planet into the running for a new near-term exploration mission: Venus.

A team of scientists led by Dr. Jane Graeves of Cardiff University in the UK just announced the discovery of phosphine in the clouds of Venus. This rare molecule is made either industrially or as a byproduct of microbes that live in oxygen-free environments, meaning there’s serious evidence that life may exist on our sister planet.

“This was an experiment made out of pure curiosity, really,” Dr. Graeves detailed to the Royal Astronomical Society. “I thought we’d just be able to rule out extreme scenarios, like the clouds being stuffed full of organisms. When we got the first hints of phosphine in Venus’ spectrum, it was a shock!”

With NASA’s 2020 Mars Rover Perseverance on its way to do some astrobiological science on our red neighbor, this new finding on Venus looks to now have some high-level advocates for prioritized exploration.

“Life on Venus? The discovery of phosphine, a byproduct of anaerobic biology, is the most significant development yet in building the case for life off Earth,” NASA Administrator Jim Bridenstine tweeted about the news shortly after its publication. “About 10 years ago NASA discovered microbial life at 120,000ft in Earth’s upper atmosphere. It’s time to prioritize Venus.”

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https://twitter.com/JimBridenstine/status/1305598182571810822

Planetary scientist Paul Byrne of North Carolina State University echoed this same sentiment in a quote published by The New York Times. “If this planet is active and is producing phosphine, and there is something that’s making it in the Venus atmosphere, then by God almighty, forget this Mars nonsense,” Byrne opined. “We need a lander, an orbiter, we need a program.”

Similar to thinking about Mars’ ancient past being filled with more Earth-like components such as water bodies (or perhaps not), Venus is thought to have been the home to lakes, rivers, and oceans before a runaway greenhouse effect made it into the hellish landscape it is today. This thinking has partly lead to speculation about the possibility of microbes migrating or developing in the clouds of the planet as ‘aerial’ life where temperatures are much more Earth-like, albeit very acidic. “Finding phosphine on Venus was an unexpected bonus! The discovery raises many questions, such as how any organisms could survive. On Earth, some microbes can cope with up to about 5% of acid in their environment – but the clouds of Venus are almost entirely made of acid,” commented team member Dr. Clara Sousa Silva of MIT.

This artist’s concept shows the proposed VERITAS spacecraft using its radar to produce high-resolution maps of Venus’ topographic and geologic features. Credits: NASA/JPL-Caltech

For planetary science enthusiasts, of course, the idea of looking for life or even a new home for humans in the clouds of Venus isn’t new. Astrobiologist David Grinspoon, for one, has been advocating for the planet’s cause for quite some time. “Venus, this planet where I’ve been proposing for decades that there could be a biosphere in the clouds,” he exclaimed in a recent video chat about the discovery. “I mean, Venus is a place we do not associate with extraterrestrial life… It’s so hot, and so dry, the pressure’s so huge…we think life is gonna be anywhere but Venus. But interestingly if you go 30 miles up into the clouds, it’s rather comfortable in the sense that it’s sort of like room temperature [and pressure] in the room you’re in right now.”

The discovery of phosphine on Venus is also exciting for exoplanet hunting endeavors, i.e., looking for signs of life on planets outside our solar system. “It’s very exciting because phosphine is a gas that should not exist in an atmosphere like Venus’,” Grinspoon explained. “It stands out as an anomaly… Not only that, phosphine has been previously suggested as a very good biosignature that we might find on an exoplanet – a gas that’s made by life. It’s not easy to make in non-biological ways.”

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A renewed call for Venusian exploration is already ready to be answered by a few scientists and groups, one notable example being startup launch provider Rocket Lab. As a rocket company focused on dedicated missions for small payloads, Rocket Lab stands as a ready and willing partner for any organization looking to gather more data from Venus directly. In fact, CEO Peter Beck already has plans in the works for the planet most symbolically synonymous with romance.

“I’m madly in love with Venus,” Beck said on August 5th this year during a live streamed company update. “I’m working very hard to put together a private mission to go to Venus in 2023… At the very least, I think it’s a needle-mover even for just a private mission to try and go do something interplanetary. That sends a message to the rest of the world that, ‘Hey, look — we can do these things privately.’”

Another notable mission that’s relevant to Beck and Rocket Lab’s goals for small payload missions to interplanetary destinations was the Mars Cube One companions of NASA’s InSight lander launched in 2018. After traveling the the red planet with the lander, the twin cube satellites were able to send back data and a photo of Mars to Earth. This proved that tiny affordable spacecraft could be used for some serious deep-space science. Perhaps one of the biggest discoveries in our solar system of late could be followed up by an itty bitty mission (respectively)?

You can watch Dr. Jane Greaves, explain the discovery on Venus in detail:

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Accidental computer geek, fascinated by most history and the multiplanetary future on its way. Quite keen on the democratization of space. | It's pronounced day-sha, but I answer to almost any variation thereof.

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Elon Musk

Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

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Credit: @BLKMDL3/X

Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD). 

As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.” 

10 billion miles of training data

Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly. 

“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote. 

Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles. 

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FSD’s total training miles

As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program. 

The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”

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Tesla earns top honors at MotorTrend’s SDV Innovator Awards

MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

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Credit: Tesla China

Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.

As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.

Tesla leaders and engineers recognized

The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.

Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.

Tesla’s software-first strategy

While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.

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This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.

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Elon Musk

Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.

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Gage Skidmore, CC BY-SA 4.0 , via Wikimedia Commons

A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial. 

The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.

Judge says disputed facts warrant a trial

At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.

Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”

OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.

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Rivalries and Microsoft ties

The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.

The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.

Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.

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