News
NASA lab confirms DNA sugar can be made in space, adding evidence that ‘life’ could be all over the universe
NASA researchers at the Ames’ Astrophysics and Astrochemistry Lab in Mountain View, California have provided the first experimental evidence demonstrating that the sugar in DNA – 2-deoxyribose – can be formed in interstellar space. In their study published on December 18, 2018 in the journal Nature Communications, Michel Nuevo, George Cooper, and Scott Sandford combined organic compounds, water vapor, and light – all elements present in interstellar space – inside a vacuum chamber mimicking the cosmic environment and observed the results. Along with the DNA sugar, a variety of other sugar derivatives were found to have been created. This discovery is more evidence that the chemical building blocks of life could be common all over the universe, seeding other planets as they did Earth in the ancient past.
One of the biggest questions science is constantly pursuing is whether we are alone in the universe, a research endeavor that takes many paths. Astrophysicist Carl Sagan is famously quoted often, saying, “The nitrogen in our DNA, the calcium in our teeth, the iron in our blood, the carbon in our apple pies were made in the interiors of collapsing stars. We are made of star stuff.” It meant that the universe is filled with the building blocks of life, thus the pursuit to find out how those building blocks combine to actually form life is an endeavor with the farthest reaching implications. Scott Sandford, one of the study’s researchers, added to this in reference to his own team’s experiment, saying, “The universe is an organic chemist. It has big beakers and lots of time – and the result is a lot of organic material, some of which is useful to life.”
To make their discovery, the Ames team cooled an aluminum substance to near absolute zero inside a vacuum chamber (since space is a vacuum), and added a mixture of water vapor and methanol gas before exposing it to ultraviolet light and heat, fully mimicking the interstellar environment. The space between stars is filled with dust and gases and is constantly subjected to light particles bombarding in from every radiation-emitting source around it. The experiment was designed to help answer the question of whether the space environment itself can make the compounds essential to life rather than just the single-elemental building blocks. Another team of researchers in France previously discovered the creation of ribose – the sugar in RNA, a possible precursor to DNA – in an experiment similar to the current study, setting the stage for the team’s further findings.
A growing number of organic compounds have been found on meteorites over the years including carbon, hydrogen, oxygen, nitrogen, and sulphur. Despite the actively changing geography of Earth complicating the discovery of remnants from its very early days, scientists have been able to find and study things like carbonaceous chondrites, meteorites originating from asteroids as old as our solar system. This research has made it possible to analyze how planets have formed and evolved over billions of years. Combining this type of research along with other work demonstrating that meteorites in general contain the building blocks of life and travel throughout the galaxies of the universe, the expanding number of exoplanets being found could imply even more significant possibilities.
Exoplanets, i.e., planets that orbit stars other than our own, are being discovered on a regular basis as data from prior and current observatory and telescope missions is reviewed. Over the last 20 years since “planet hunting” really got started, over 3800 exoplanets have been confirmed with around 2900 more awaiting confirmation. By observing the amount of light a distant star dims over period of time, scientists can determine whether there is a planet orbiting it, its size, distance from its star, and the colors missing in the planets’ atmosphere light spectrum which tell what chemicals are present, such as oxygen, carbon dioxide, nitrogen, and so forth. After analyzing all of these things, it can be predicted whether an exoplanet may be Earth-like and whether it’s in what’s called the “Goldilocks Zone”, or position where life as we know it might have the right conditions to evolve.
That may seem like a lot of conditions to meet, but it’s estimated that around 20-50 percent of the stars in our night sky may have small, rocky planets in their stars’ habitable zones. As more is learned about planet formation, that number may be revised up or down. Thus far, one planetary system has been studied extensively that has planets somewhat similar to Earth: TRAPPIST-1. It’s comprised of an ultra-cool dwarf star with 7 rocky worlds orbiting it, all of them potentially having water, some more than Earth. Considering the growing evidence that the seeds for life to evolve are prominently distributed and created throughout space with the number of potentially Earth-like planets being discovered, we may have some exciting news from the interstellar world in the near future.
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.”
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.
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.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
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.
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.
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.
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.
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.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
