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US Department of Defense commits $2B to training AI to have “common sense”

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While artificial intelligence is being painted by companies and government as the catch-all answer to many of today’s inefficiencies and problems, it currently has one glaring shortcoming: It can’t answer common sense questions.

In an effort to address this current shortcoming of AI, The U.S. Department of Defense (DoD) is committing $2 billion dollars over the next five years to its Machine Common Sense (MCS) Program. The program aims to enable computers to communicate naturally, behave reasonably in new situations, and learn from new experiences.

Thanks in part to Iron Man (and Elon Musk) fame, the Defense Advanced Research Projects Agency, aka “DARPA”, an agency within the DoD, may be one of the few alphabet soup government agencies with a future-tech-savvy reputation. That reputation is well deserved, too, if history has anything to say about it. As the agency that gave us the Internet through an extension of a defense communication project, just having a discussion online about DARPA itself is testament to the tech potential it represents. The challenge of creating true, thinking computers is perfectly aligned with what DARPA has done well with overall.

“Artificial intelligence development projection.” Credit: DARPA, US Department of Defense

As the advancement of computer technology increases at a near exponential rate, so too has the potential relationship between them and humans. However, the possibility of a troubling disconnect is also a growing reality. In other words, humans and computers currently operate very differently from one another, and that could spell bad things for the weaker logician of the two. Yeah, that means us.

Elon Musk has famously harped about this predicted disconnect on numerous occasions, and one of the companies he’s invested in, Neuralink, is working on preemptive solutions for its coming problems. While Neuralink generally aims to help human brains work more like computers, DARPA is taking the approach of having computers work more like humans.

The term “common sense” can often be tossed around in conversations to imply a variety of shared knowledge bases, but as a federal government agency, DARPA has its own specific definition for this context: “The basic ability to perceive, understand, and judge things that are shared by nearly all people and can be reasonably expected of nearly all people without need for debate.” By mimicking the cognitive processes we go through when we are young, the agency hopes computers will develop the “fundamental building blocks of intelligence and common sense” just like a human.

With advanced neural networks making amazing (and humorous) headlines regularly, what would a “common sense” machine bring to the table in terms of advancement? One primary answer is the requirement for less initial information. To quote Dr. Brian Pierce, director of DARPA’s Innovation Office, at a recent summit, “We’d like to get away from having an enormous amount of data to train neural networks.” If a machine could use its environment to deduct answers when compared to its existing knowledge base, as humans do, it wouldn’t need to be taught to interpret data solely based on an enormous amount of data previously provided. Essentially, it could think for itself using common sense.

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DARPA has now completed a “Proposers Day” wherein potential contractors were presented with the agency’s specifics for its MCS program. The next step is a “Broad Agency Announcement”, i.e., a formal invitation for proposals to work on the project with the hope of obtaining a federal contract to fulfill its aim.

If the contract winner is successful, will common sense lead to computer behavior we’d welcome rather than fear? Hopefully that will be figured out sooner rather than later.

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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Tesla Cybercab fleet doubles to well over 100 units

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(Credit: Teslarati)

Tesla quietly doubled the size of its Cybercab fleet within the Robotaxi program in Austin, Texas, over the weekend to well over 100 units.

The move not only establishes more of the steering-wheel-less and pedal-less vehicles within the ride-sharing fleet Tesla has been operating for a year, but it also solidifies a more robust Robotaxi fleet as a whole.

Riders started receiving notifications from the Robotaxi app that stated: “Cybercab fleet has doubled: more rides available.”

Tesla first launched rides in the Cybercab in early September, although the Robotaxi fleet has been active for over a year, as rides began last Summer. Cybercab is truly Tesla’s most crucial vehicle release yet, as it is the first car any company has built that is geared toward full-fledged and end-to-end autonomy, never needing human intervention for anything.

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Only available in Austin at the current time, Cybercab has two seats and has been spotted testing around various U.S. states and regions; Tesla plans to deploy the Cybercab in various U.S. cities in the coming months as a best-case scenario.

Tesla Cybercab gets initial tie-in to localized, in-house cathode plant

The availability of the Cybercab has doubled from just 58 units last Monday to 125 the following Friday. Marking a substantial increase in Cybercab availability, the additional ride-sharing units are more than welcome, as wait times for Cybercabs, especially, were quite high.

The dramatic increase is a sign that demand for Robotaxi is growing and Tesla is feeling more confident that its driverless ride-hailing suite, especially its Full Self-Driving software, is able to handle any traffic situation without explicit direction or supervision from a human being.

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Tesla has a ‘no human contact’ approach for Semi production

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Tesla is advancing a fully automated pipeline for the 4680 battery cells used in its all-electric Semi, spanning production from Giga Texas through shipment and direct consumption on the line at the new dedicated Semi Factory in Sparks, Nevada.

The approach was outlined by Tesla at its September 24 Semi Handover event, which launched high-volume production at its new 1.8-million-square-foot plant in Nevada, which sits adjacent to Gigafactory Nevada and is designed for an annual production rate of 50,000 trucks per year.

After years of pilot builds and what was a four-year-long redesign of the truck, Tesla moved the Semi from 2170 batteries to its in-house 4680 cells, which are made in Austin. The change cuts battery mass and total energy while holding range, a key step in making volume production a realistic possibility.

Cells will leave Giga Texas in trailers, and at the Nevada Semi plant, Tesla intends for a dedicated line to unload those trailers automatically, station the cells, and feed them straight into pack and vehicle assembly.

Both Lars Moravy, Tesla’s VP of Vehicle Engineering, and Dan Priestley, the Head of Tesla’s Semi program, described the goal as a “zero human touch point” from the moment the trailer arrives in Texas until a finished Semi drives off the production line in Nevada.

The unloading system that Moravy and Priestley described is just one piece of a much broader automation push. The plant uses what Tesla calls the highest-capacity electric monorail conveyance in vehicle manufacturing, carrying frames-in-white simultaneously. Powder-coating replaces conventional paint, and many processes that would normally require operators have been designed out.

Tesla has repeatedly said that “the best part is no part,” and the cell-handling plan extends that philosophy from the cell factory floor in Texas all the way to final assembly in Nevada.

If executed as described, the closed-loop flow would reduce labor, handling damage, and inventory buffers while tightening quality control on a component that represents a large share of the truck’s cost and weight. It also shortens the physical and organizational distance between two factories separated by more than 1,200 miles. The Semi itself now shares a bar-wound stator and other components with the Cybertruck, further linking Tesla’s passenger and commercial production systems.

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High-volume output is expected to ramp gradually after the first trucks left the new line in April 2026. Early customers include PepsiCo, DHL, and U.S. Foods. Whether the automated trailer-to-line process reaches the promised zero-touch standard will be visible in the coming months as production scales. For Tesla, the Semi factory is another test of how far it can push “the machine that builds the machine” across sites.

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Elon Musk’s AI Grok Bot can now handle banking while your Tesla FSD handles the road

Elon Musk says Grok Bot can manage your finances through linked bank and investment accounts.

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Concept of SuperGrok Bot handling banking in a Tesla via Grok
Concept of SuperGrok Bot handling banking in a Tesla via Grok

Grok Bot now wants access to your wallet, with SpaceXAI rolling out a new Finance integration for its agent platform that lets users link bank, credit card and investment accounts thereby letting their Bots help manage spending, investments and more. Elon Musk amplified the announcement on X with a short endorsement, “Grok Bot can manage your finances.”

The feature builds on two earlier steps. In early September, Grok gained the ability to answer questions about spending, savings, investments and cash flow using accounts connected through Plaid, starting with users in the U.S. Before that, on August 28, SpaceXAI let Grok Bot buy things online through Link, with users approving every spend request and the Bot receiving a single use card for each payment.

Musk has already shown how far he wants users to push it. In late August, when Tesla investor account Teslaconomics said he was weighing whether to give Grok Bot access to his bank accounts, Musk replied, “Try it out. If Grok Bot messes up, we will make you whole.” That promise goes beyond SpaceXAI’s consumer terms, which make users responsible for what their agents do and generally cap the company’s liability at the greater of fees paid or $100. SpaceXAI’s own documentation recommends requiring approval for purchases and financial transfers.

For Tesla owners, the update lands five days after Tesla brought Grok Bot into its vehicles, letting drivers hand off errands by voice while FSD (Supervised) handles the road. Bot access inside the car is currently limited to SuperGrok Heavy subscribers, though Connectors are open to anyone signed into Grok. With Finance linked, a driver could ask for a spending summary or a check on upcoming bills during the commute.

Grok’s role in the car has grown quickly since Tesla’s Summer Update let it control cabin features by voice. We have been using Grok Bot in our own Tesla for several weeks, and here’s how our latest test went.

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