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Elon Musk's Boring Company quietly deploys its custom-designed tunneling machine
As it turns out, Elon Musk’s tunneling startup, The Boring Company, has just completed and perhaps even deployed its custom-designed tunnel boring machine. The new digger features several innovations, and it could very well accelerate Musk’s vision of ultra-high-speed tunnels transporting vehicles and people through a vast network of tunnels underground.
The brief announcement was shared by the official Boring Company Twitter handle. The post was simple, showing a group of employees smiling in front of a tunnel boring machine that seems poised to start digging. In the tweet’s description, the startup posted the words “Prufrock is alive.”
This could very well be the biggest news to come out from the Boring Company since Elon Musk and TBC Head Steve Davis held an information session about the tunneling startup and its technologies at the Leo Baeck Temple in Los Angeles, CA back in May 2018. This is because unlike traditional tunnel boring machines (TBM), Prufrock is custom designed by The Boring Company, and it is expected to be capable of digging far quicker than its conventional counterparts.
The Boring Company started with Godot, a traditional boring machine that pretty much functions like a regular TBM. Godot is believed to be the boring machine that created the Hawthorne test tunnel, and while it works just as well as a TBM could, it is also immensely slow. Following Godot, the Boring Company designed Line-Storm, a TBM that is essentially a heavily modified conventional boring machine. In terms of speed, Line-Storm is capable of at least digging twice as fast as a traditional TBM like Godot.
But Godot and Line-Storm are just the beginning. During The Boring Company’s information session, Elon Musk and Steve Davis talked about a third tunneling machine. This machine, called Prufrock, is entirely designed by the startup, and it is expected to dig about 10-15 times faster than traditional boring machines like Godot. That’s a notable improvement over conventional diggers, and it has the potential to revolutionize tunneling technology in one fell swoop.
Elon Musk described each of the Boring Company’s TBMs as follows.
“Godot, which is the name of the first machine, is a conventional tunnel boring machine… So going from Godot to Line-Storm, Line-Storm is a highly modified boring machine, but it’s essentially a hybrid between a conventional boring machine and Prufrock, which is the fully Boring Company-designed machine. So Prufrock, that will be quite a radical change. Prufrock will be about ten times, aspirationally 15 times faster than current boring machines. I think very likely ten times.”
The Boring Company is involved in several projects, from the Dugout Loop in CA to the Las Vegas Convention Center tunnel in Nevada. Among these, the LVCC loop seems to be the most active, though the startup has not announced which of its machines had been deployed on the site. Considering that the TBM managed to complete the first of its two tunnels already, perhaps the machine digging under Las Vegas today is Line-Storm. As for Prufrock, the project where it will be deployed for the first time will likely be incredibly lucky.
The Boring Company’s potential disruption, after all, largely depends on how fast it could construct tunnels in a safe and efficient way. As noted by Elon Musk, this has a lot to do with the speed of TBMs themselves, as regular diggers move at a fraction of a snail’s pace. If The Boring Machine could at least match the speed of a snail, then a transport tunnel’s turnaround time would be drastically lower. This, of course, opens the doors to more tunnels being built, effectively ushering in Elon Musk’s vision of an ultra high-speed, underground future.
Elon Musk
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.
Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.
🚨 Our LIVE updates on the Tesla Earnings Call will take place here in a thread 🧵
Follow along below: pic.twitter.com/hzJeBitzJU
— TESLARATI (@Teslarati) April 22, 2026
The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.
The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.
For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.
Elon Musk
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.
Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”
Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.
Credit: TESLA
Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.
As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.
Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.
The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.
As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.
Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.
Tesla Q1 2026 Earnings Results
Tesla’s Earnings Results are as follows:
- Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
- Revenues – $22.387 billion vs. $22.35 billion Expected
- Free Cash Flow – $1.444 billion
- Profit – $4.72 billion
Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.
On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.
Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.
You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.
Q1 2026 Earnings Call at 4:30pm CT https://t.co/pkYIaGJ32y
— Tesla (@Tesla) April 22, 2026
Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story
Tesla isn’t joking about building Optimus at an industrial scale: Here we go
