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Elon Musk thinks we’ll have AI smarter than any one human by next year

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Elon Musk has once again spoken about some of his expectations for the future of artificial intelligence (AI), this time in an interview held on X Spaces.

On Monday, Musk spoke on a Spaces call with Nicolai Tangen, founder of Norwegian hedge fund AKO Capital, about a range of topics, especially focusing on AI, space exploration and a few details about Tesla—like its path into the automotive market in India.

Interestingly, Musk said that he thinks humans will probably have AI that’s smarter than any one human by the end of next year, while he believes that the total amount of compute power of AI will exceed all humans in five years.

“My guess is that we’ll have AI that is smarter than any one human, probably, by the end of next year,” Musk said. “The total amount of, sort of, sentient compute of AI, I think will probably exceed all humans in five years.”

Musk also said that xAI plans to have Grok 1.5 finished by May, and that it will be better than OpenAI’s ChatGPT-4. However, like the above and many of Musk’s other claims, it’s worth taking his timelines with a grain of salt as he also announced that Grok 1.5 would be coming “next month” in January.

Along with predictions for AI and xAI’s plans, he also pointed to the need for a regulatory division to monitor the rapid growth of the AI sector, though he says the technology is already progressing at a rate that’s too fast for any regulatory agency to keep up with. He also echoed recent warnings about AI being programmed to be too politically correct, citing Google’s Gemini AI as an example.

“But I do have a comment for what I think is very important for achieving safe AI, which is that it’s very important to train the AI to be as truthful as possible,” Musk added. “I think you can get some very dangerous things when you program an AI to be politically correct.”

“I think that things may seem relatively innocuous now, but will not be so in the future if AI has immense power. You can take the Google Gemini example where it refused to produce a picture of George Washington as a white man, and any impact, any historical figure, would automatically be made diverse, because it’s been programmed to insist on diversity.

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Which sounds you know, perhaps okay at first, but not if the AI has so much power that it can actually enforce diversity and decide there’s too many of one kind of people, or too many of one sex, and just kill off enough until the diversity numbers is what is programmed to believe is correct.”

You can listen to the full Spaces call here on X.

Musk has warned about some of the risks of AI in the past, calling it a potential “civilizational risk” in September and even talking to Israel Prime Minister Benjamin Netanyahu about AI concerns later that month.

Last July, Musk launched xAI as a rival to OpenAI, and the company debuted Grok as its first product in November. Musk in February filed a lawsuit against OpenAI for abandoning its open-source, non-profit mission, and last month xAI went on to officially make Grok’s model weights open-source.

Tesla increasing compensation for AI team: Elon Musk

What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Tesla leases new 108k-sq ft R&D facility near Fremont Factory

The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.

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Credit: Tesla

Tesla has expanded its footprint near its Fremont Factory by leasing a 108,000-square-foot R&D facility in the East Bay. 

The lease adds to Tesla’s presence near its primary California manufacturing hub as the company continues investing in autonomy and artificial intelligence.

A new Fremont lease

Tesla will occupy the entire building at 45401 Research Ave. in Fremont, as per real estate services firm Colliers. The transaction stands as the second-largest R&D lease of the fourth quarter, trailing only a roughly 115,000-square-foot transaction by Figure AI in San Jose.

As noted in a Silicon Valley Business Journal report, Tesla’s new Fremont lease was completed with landlord Lincoln Property Co., which owns the facility. Colliers stated that Tesla’s Fremont expansion reflects continued demand from established technology companies that are seeking space for engineering, testing, and specialized manufacturing.

Tesla has not disclosed which of its business units will be occupying the building, though Colliers has described the property as suitable for office and R&D functions. Tesla has not issued a comment about its new Fremont lease as of writing.

AI investments

Silicon Valley remains a key region for automakers as vehicles increasingly rely on software, artificial intelligence, and advanced electronics. Erin Keating, senior director of economics and industry insights at Cox Automotive, has stated that Tesla is among the most aggressive auto companies when it comes to software-driven vehicle development.

Other automakers have also expanded their presence in the area. Rivian operates an autonomy and core technology hub in Palo Alto, while GM maintains an AI center of excellence in Mountain View. Toyota is also relocating its software and autonomy unit to a newly upgraded property in Santa Clara.

Despite these expansions, Colliers has noted that Silicon Valley posted nearly 444,000 square feet of net occupancy losses in Q4 2025, pushing overall vacancy to 11.2%.

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Tesla winter weather test: How long does it take to melt 8 inches of snow?

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Credit: Teslarati

In Pennsylvania, we got between 10 and 12 inches of snow over the weekend as a nasty Winter storm ripped through a large portion of the country, bringing snow to some areas and nasty ice storms to others.

I have had a Model Y Performance for the week courtesy of Tesla, which got the car to me last Monday. Today was my last full day with it before I take it back to my local showroom, and with all the accumulation on it, I decided to run a cool little experiment: How long would it take for Tesla’s Defrost feature to melt 8 inches of snow?

Tesla Model Y Performance set for new market entrance in Q1

Tesla’s Defrost feature is one of the best and most underrated that the car has in its arsenal. While every car out there has a defrost setting, Tesla’s can be activated through the Smartphone App and is one of the better-performing systems in my opinion.

It has come in handy a lot through the Fall and Winter, helping clear up my windshield more efficiently while also clearing up more of the front glass than other cars I’ve owned.

The test was simple: don’t touch any of the ice or snow with my ice scraper, and let the car do all the work, no matter how long it took. Of course, it would be quicker to just clear the ice off manually, but I really wanted to see how long it would take.

Tesla Model Y heat pump takes on Model S resistive heating in defrosting showdown

Observations

I started this test at around 10:30 a.m. It was still pretty cloudy and cold out, and I knew the latter portion of the test would get some help from the Sun as it was expected to come out around noon, maybe a little bit after.

I cranked it up and set my iPhone up on a tripod, and activated the Time Lapse feature in the Camera settings.

The rest of the test was sitting and waiting.

It didn’t take long to see some difference. In fact, by the 20-minute mark, there was some notable melting of snow and ice along the sides of the windshield near the A Pillar.

However, this test was not one that was “efficient” in any manner; it took about three hours and 40 minutes to get the snow to a point where I would feel comfortable driving out in public. In no way would I do this normally; I simply wanted to see how it would do with a massive accumulation of snow.

It did well, but in the future, I’ll stick to clearing it off manually and using the Defrost setting for clearing up some ice before the gym in the morning.

Check out the video of the test below:

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Tesla Robotaxi ride-hailing without a Safety Monitor proves to be difficult

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Credit: Grok Imagine

Tesla Robotaxi ride-hailing without a Safety Monitor is proving to be a difficult task, according to some riders who made the journey to Austin to attempt to ride in one of its vehicles that has zero supervision.

Last week, Tesla officially removed Safety Monitors from some — not all — of its Robotaxi vehicles in Austin, Texas, answering skeptics who said the vehicles still needed supervision to operate safely and efficiently.

BREAKING: Tesla launches public Robotaxi rides in Austin with no Safety Monitor

Tesla aimed to remove Safety Monitors before the end of 2025, and it did, but only to company employees. It made the move last week to open the rides to the public, just a couple of weeks late to its original goal, but the accomplishment was impressive, nonetheless.

However, the small number of Robotaxis that are operating without Safety Monitors has proven difficult to hail for a ride. David Moss, who has gained notoriety recently as the person who has traveled over 10,000 miles in his Tesla on Full Self-Driving v14 without any interventions, made it to Austin last week.

He has tried to get a ride in a Safety Monitor-less Robotaxi for the better part of four days, and after 38 attempts, he still has yet to grab one:

Tesla said last week that it was rolling out a controlled test of the Safety Monitor-less Robotaxis. Ashok Elluswamy, who heads the AI program at Tesla, confirmed that the company was “starting with a few unsupervised vehicles mixed in with the broader Robotaxi fleet with Safety Monitors,” and that “the ratio will increase over time.”

This is a good strategy that prioritizes safety and keeps the company’s controlled rollout at the forefront of the Robotaxi rollout.

However, it will be interesting to see how quickly the company can scale these completely monitor-less rides. It has proven to be extremely difficult to get one, but that is understandable considering only a handful of the cars in the entire Austin fleet are operating with no supervision within the vehicle.

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