

News
US overtakes Chinese supercomputer to take top spot for fastest in the world
After a semi-annual assessment measuring supercomputer computational speeds, US-built IBM machine “Summit” has toppled two Chinese competitors to take the lead as the fastest of its kind in the world. China’s Tianhe-2 and Sunway TaihuLight spent the last two years at the top of the SuperComputer TOP500 List, but this month Summit pulled ahead of both with a performance of 143.5 quadrillion operations per second, making it 65% more powerful than the next non-US supercomputer on the list. Out of the top ten machines ranked, five are in the United States.
The TOP500 project was established in 1993 to track and rank meaningful statistics for organizations to use in determining their needs with regard to high-performance computing (HPC). The benchmark test used to determine the rankings is called “Linpack”, which requires HPC systems to solve a specific set of linear equations using floating point arithmetic. To help quantify just how powerful the machines in the HPC category are, Summit is 1 million times more powerful than the fastest laptop with 250 petabytes of storage capacity.
Located at the Oak Ridge Leadership Computing Facility (OCLF) in Tennessee, the Summit supercomputer has an architecture purpose-built and optimized by IBM for artificial intelligence. While specialized, access to its technology isn’t exclusive to the machine’s developers. All components are available to any enterprise as part of IBM’s product line.
Summit was funded with part of a $258 million grant from the U.S. Department of Energy to help maintain US leadership in national security, manufacturing, industrial competitiveness, and energy and earth sciences. Summit’s “sister” computer, Sierra, was developed as part of the same Department of Energy commission and takes second place in the TOP500 list. This machine is located at Lawrence Livermore National Laboratory (LLNL) in California, and it boasts a computing speed of just under 95 quadrillion operations per second.
The HPC field overall provides computing power for advanced artificial intelligence along with massive data projects in business, medicine, science, and engineering. A recent competition hosted by the Association for Computing Machinery to recognize achievements in HPC, the Gordon Bell Prize, named five finalists that used Summit for advanced science research. The projects included, among others, an algorithm looking for genetic variations linked to complex traits and conditions such as opioid addiction, an AI simulation of earthquake physics in urban environments, and a deep neural network to identify extreme weather patterns from climate simulations. The winner of the competition will be named later this week at the 2018 International Conference for High Performance Computing, Networking, Storage, and Analysis in Dallas.
Watch the video below for more about Summit’s supercomputer capabilities.
News
Three things Tesla needs to improve with Full Self-Driving v14 release
These are the three things I’d like to see Tesla Full Self-Driving v14 improve.

As Tesla plans to release Full Self-Driving version 14 this week after CEO Elon Musk detailed a short delay in its rollout, there are several things that continue to plague what are extremely well-done drives by the suite.
Tesla Full Self-Driving has truly revolutionized the way I travel, and I use it for the majority of my driving. However, it does a few things really poorly, and these issues are consistent across many drives, not just one.
Tesla Full Self-Driving impressions after three weeks of ownership
Musk has called FSD v14 “sentient” and hinted that it would demonstrate drastic improvements from v13. The current version is very good, and it commonly performs some of the more difficult driving tasks well. I have found that it does simple, yet crucial things, somewhat poorly.
These are the three things I’d like to see Tesla Full Self-Driving v14 improve.
Navigation, Routing, and Logical Departure
My biggest complaint is how poorly the navigation system chooses its route of departure. I’ve noticed this specifically from where I Supercharge. The car routinely takes the most illogical route to leave the Supercharger, a path that would require an illegal U-turn to get on the correct route.
I managed to capture this yesterday when leaving the Supercharger to go on a lengthy ride using Full Self-Driving:
You’ll see I overrode the attempt to turn right out of the lot by pushing the turn signal to turn left instead. If you go right, you’ll go around the entire convenience store and end up approaching a traffic light with a “No U-Turn” sign. The car has tried to initiate a U-turn at this light before.
If you’re attempting to get on the highway, you simply have to leave the convenience store on a different route (the one I made the vehicle go in).
It then attempted to enter the right lane when the car needed to remain in the left lane to turn left and access the highway. I manually took over and then reactivated Full Self-Driving when it was in the correct lane.
To achieve Unsupervised Full Self-Driving, such as navigating out of a parking lot and taking the logical route, while also avoiding illegal maneuvers, is incredibly crucial.
Too Much Time in the Left Lane on the Highway
It is illegal to cruise in the left lane on highways in all 50 U.S. states, although certain states enforce it more than others. Colorado, for example, has a law that makes it illegal to drive in the left lane on highways with a speed limit of 65 MPH or greater unless you are passing.
In Florida, it is generally prohibited to use the left lane unless you are passing a slower vehicle.
In Pennsylvania, where I live, cruising in the left lane is illegal on limited-access highways with two or more lanes. Left lanes are designed for passing, while right lanes are intended for cruising.
Full Self-Driving, especially on the “Hurry” drive mode, which drives most realistically, cruises in the left lane, making it in violation of these cruising laws. There are many instances when it has a drastic amount of space between cars in the right lane, and it simply chooses to stay in the left lane:
The clip above is nearly 12 minutes in length without being sped up. In real-time, it had plenty of opportunities to get over and cruise in the left lane. It did not do this until the end of the video.
Tesla should implement a “Preferred Highway Cruising Lane” option for two and three-lane highways, allowing drivers to choose the lane that FSD cruises in.
It also tends to pass vehicles in the slow lane at a speed that is only a mile an hour or two higher than that other car.
This holds up traffic in the left lane; if it is going to overtake a vehicle in the right lane, it needs to do it faster and with more assertiveness. It should not take more than 5-10 seconds to pass a car. Anything longer is disrupting the flow of highway traffic.
Parking
Full Self-Driving does a great job of getting you to your destination, but parking automatically once you’re there has been a pain point.
As I was arriving at my destination, it pulled in directly on top of the line separating two parking spots. It does this frequently when I arrive at my house as well.
Here’s what it looked like yesterday:
Parking is one of the easier tasks Full Self-Driving performs, and Autopark does extremely well when the driver manually chooses the spot. I use Autopark on an almost daily basis.
However, if I do not assist the vehicle in choosing a spot, its performance pulling into spaces is pretty lackluster.
With a lot of hype surrounding v14, Tesla has built up considerable anticipation among owners who want to see FSD perform the easy tasks well. As of now, I believe it does the harder things better than the easy things.
Elon Musk
Elon Musk teases previously unknown Tesla Optimus capability
Elon Musk revealed over the weekend that the humanoid robot should be able to utilize Tesla’s dataset for Full Self-Driving (FSD) to operate cars not manufactured by Tesla.

Elon Musk revealed a new capability that Tesla Optimus should have, and it is one that will surely surprise many people, as it falls outside the CEO’s scope of his several companies.
Tesla Optimus is likely going to be the biggest product the company ever develops, and Musk has even predicted that it could make up about 80 percent of the company’s value in the coming years.
Teasing the potential to eliminate any trivial and monotonous tasks from human life, Optimus surely has its appeal.
However, Musk revealed over the weekend that the humanoid robot should be able to utilize Tesla’s dataset for Full Self-Driving (FSD) to operate cars not manufactured by Tesla:
Probably
— Elon Musk (@elonmusk) October 5, 2025
FSD would essentially translate from operation in Tesla vehicles from a driverless perspective to Optimus, allowing FSD to basically be present in any vehicle ever made. Optimus could be similar to a personal chauffeur, as well as an assistant.
Optimus has significant hype behind it, as Tesla has been meticulously refining its capabilities. Along with Musk’s and other executives’ comments about its potential, it’s clear that there is genuine excitement internally.
This past weekend, the company continued to stoke hype behind Optimus by showing a new video of the humanoid robot learning Kung Fu and training with a teacher:
🚨 Some have wondered if this is ‘staged’ or if Optimus is teleoperated here
Elon Musk said this is completely AI https://t.co/N69uDD6OVM
— TESLARATI (@Teslarati) October 4, 2025
Tesla plans to launch its Gen 3 version of Optimus in the coming months, and although we saw a new-look robot just last month, thanks to a video from Salesforce CEO and Musk’s friend Marc Benioff, we have been told that this was not a look at the company’s new iteration.
Instead, Gen 3’s true design remains a mystery for the general public, but with the improvements between the first two iterations already displayed, we are sure the newest version will be something special.
Investor's Corner
Cantor Fitzgerald reaffirms bullish view on Tesla after record Q3 deliveries
The firm reiterated its Overweight rating and $355 price target.

Cantor Fitzgerald is maintaining its bullish outlook on Tesla (NASDAQ:TSLA) following the company’s record-breaking third quarter of 2025.
The firm reiterated its Overweight rating and $355 price target, citing strong delivery results driven by a rush of consumer purchases ahead of the end of the federal tax credit on September 30.
On Tesla’s vehicle deliveries in Q3 2025
During the third quarter of 2025, Tesla delivered a total of 497,099 vehicles, significantly beating analyst expectations of 443,079 vehicles. As per Cantor Fitzgerald, this was likely affected by customers rushing at the end of Q3 to purchase an EV due to the end of the federal tax credit, as noted in an Investing.com report.
“On 10/2, TSLA pre-announced that it delivered 497,099 vehicles in 3Q25 (its highest quarterly delivery in company history), significantly above Company consensus of 443,079, and above 384,122 in 2Q25. This was due primarily to a ‘push forward effect’ from consumers who rushed to purchase or lease EVs ahead of the $7,500 EV tax credit expiring on 9/30,” the firm wrote in its note.
A bright spot in Tesla Energy
Cantor Fitzgerald also highlighted that while Tesla’s full-year production and deliveries would likely fall short of 2024’s 1.8 million total, Tesla’s energy storage business remains a bright spot in the company’s results.
“Tesla also announced that it had deployed 12.5 GWh of energy storage products in 3Q25, its highest in company history vs. our estimate/Visible Alpha consensus of 11.5/10.9 GWh (and vs. ~6.9 GWh in 3Q24). Tesla’s Energy Storage has now deployed more products YTD than all of last year, which is encouraging. We expect Energy Storage revenue to surpass $12B this year, and to account for ~15% of total revenue,” the firm stated.
Tesla’s strong Q3 results have helped lift its market capitalization to $1.47 trillion as of writing. The company also teased a new product reveal on X set for October 7, which the firm stated could serve as another near-term catalyst.
-
Elon Musk2 weeks ago
Tesla FSD V14 set for early wide release next week: Elon Musk
-
News1 week ago
Elon Musk gives update on Tesla Optimus progress
-
News2 weeks ago
Tesla has a new first with its Supercharger network
-
News2 weeks ago
Tesla job postings seem to show next surprise market entry
-
News2 weeks ago
Tesla makes a big change to reflect new IRS EV tax credit rules
-
Investor's Corner1 week ago
Tesla gets new Street-high price target with high hopes for autonomy domination
-
Lifestyle1 week ago
500-mile test proves why Tesla Model Y still humiliates rivals in Europe
-
News1 week ago
Tesla Giga Berlin’s water consumption has achieved the unthinkable