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Tesla revives ‘Mad Max’ mode in Full Self-Driving

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Tesla revives ‘Mad Max’ mode in Full Self-Driving

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Tesla is making headlines again with the return of its Mad Max mode in Full Self-Driving (Supervised). This feature, designed to make the car drive more aggressively, has arrived just as the automaker faces new scrutiny from regulators and ongoing lawsuits from customers. 

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Mad Max Mode returns in Tesla’s latest FSD update

Tesla recently launched its FSD v14.1.2 update. The update follows last year’s major FSD v14 release, which introduced “Sloth Mode” for slower, more cautious driving. The latest update moves to the opposite end of the spectrum with Mad Max mode.

According to Tesla’s release notes, this profile allows higher speeds and more frequent lane changes than Hurry mode. The update has sparked mixed reactions. Some Tesla fans praise it for making driving feel more natural. Critics argue that it invites risky behavior at a time when regulators like the NHTSA and California DMV are already investigating Tesla’s advanced driver-assist systems.

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A new Mad Max speed profile is now included in Tesla’s Full Self-Driving interface. (Tesla)

History of Tesla’s Mad Max mode since 2018

The Mad Max setting isn’t new. Tesla first introduced it in 2018 for the original Autopilot system. At the time, Elon Musk described it as ideal for handling aggressive city traffic. The name, borrowed from the post-apocalyptic movie series, immediately drew attention for its bold tone.

Now, the feature is back in Tesla’s latest FSD version. Within hours of release, drivers reported seeing cars equipped with Mad Max mode rolling stop signs and driving over the speed limit. These early reports highlight how the mode may behave more assertively than before.

Why Tesla brought back its Mad Max mode

Bringing back Mad Max mode may serve several purposes for Tesla. It helps demonstrate the company’s continuous development of FSD software while appealing to drivers who prefer faster, more decisive movement in traffic. It also acts as a signal that Tesla is still chasing the goal of Level 4 autonomy, even though its system remains classified as Level 2, requiring constant driver supervision.

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Tesla owners can access Mad Max mode through the car’s settings under Speed Profiles.  (Chesnot/Getty Images)

For Tesla, this feature shows confidence in its progress. For observers, it raises concerns about timing. With multiple investigations and lawsuits in progress, many expected Tesla to focus on safety rather than on more aggressive driving profiles.

What this means for you

If you own a Tesla with Full Self-Driving (Supervised), you can access Mad Max mode through the car’s settings under Speed Profiles. This mode provides a more assertive driving experience that includes quicker acceleration, more lane changes, and less hesitation.

However, remember that Tesla’s Full Self-Driving system still requires active driver attention. You must keep your hands on the wheel and remain ready to take control at any moment. While the name suggests thrill and speed, safety and awareness should remain your top priority.

Tesla’s speed-profile menu includes the toggle options of Chill, Standard, Hurry, and Mad Max profiles to customize how aggressively their car responds in traffic.  (REUTERS/Mike Blake)

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If you share the road with Teslas, it’s smart to stay alert. Vehicles using Mad Max mode may accelerate or change lanes more quickly than expected. Giving Teslas a little extra space can help reduce surprises and keep everyone safer on the road.

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Kurt’s key takeaways

Tesla’s decision to reintroduce Mad Max mode is both strategic and provocative. It revives a feature from its early Autopilot days while reigniting debate over the balance between innovation and responsibility. The mode’s return reminds everyone that Tesla continues to test the limits of driver-assist technology and public tolerance for it.

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Will Tesla’s revived Mad Max mode mark a bold step toward autonomy or a dangerous gamble in the race for self-driving dominance? Let us know by writing to us at CyberGuy.com

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Valve’s huge SteamOS 3.8 update adds long-awaited features — and supports Steam Machine

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Valve’s huge SteamOS 3.8 update adds long-awaited features — and supports Steam Machine

Not only is it the first release to support the upcoming Steam Machine living room gaming PC, it comes with long-awaited features for Valve’s handhelds and more support for other companies’ handhelds than we’ve seen to date — including Microsoft and Asus’ Xbox Ally series, the Lenovo Legion Go 2, the OneXPlayer X1, and additional support for MSI, GPD, Anbernic, OrangePi, and Zotac.

The one that excites me most: Valve is adding genuine hibernation and “memory power down” modes to the Steam Deck — though just the LCD model to start — which should help extend battery life when you hit the power button or leave them idle. Some Windows machines currently last longer than the Steam Deck when asleep, because they self-hibernate to save power, while the Steam Deck has an instant-on sleep mode.

Plus, Valve has finally added a setting in its gaming mode to let you use your Bluetooth headset microphones — something I’ve been asking for since the beginning. (Valve did add it to the Linux desktop mode last year.) And the Steam Deck LCD is finally getting Bluetooth Wake re-enabled, so you can turn on your TV-connected Deck with a wireless controller from your couch.

The update comes with all sorts of improvements for the Linux desktop modes that sound like they’ll come in handy on a Steam Machine plugged into a TV or monitor, too, including desktop HDR, VRR display support, per-display scaling, “improved windowing behavior for games running in Proton,” and an upgrade to KDE Plasma 6.4.3 among other things.

And for a Steam Machine or Steam handheld plugged into a home entertainment system, they can now detect how many audio channels you have over HDMI to enable surround sound. (I believe surround sound was already a thing, so perhaps this is just a different and better automatic implementation.)

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There’s also a new Arch system base and an updated graphics driver.

Perhaps most surprisingly, the “Non-Deck” section of the changelog is huge. Valve says long-pressing your power button should work “across a wide variety of devices” to power off, restart, or switch to the desktop mode. You should be able to change your processor’s power modes on the Xbox Ally now, and night mode and screen color settings should work on AMD Z2 Extreme handhelds in general.

There’s also “Greatly improved video memory management with discrete GPU platforms,” you can limit how far the battery charges in any of the Lenovo Legion Go handhelds (in desktop mode), and it should fix “washed out colors for Zotac and OneXPlayer handhelds with OLED.”

There’s a lot in this update, and it’s possible I missed a feature you care about, so check out the whole changelog here and below.

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Fox News AI Newsletter: Wall-climbing robots swarm US Navy warships

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Fox News AI Newsletter: Wall-climbing robots swarm US Navy warships

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Welcome to Fox News’ Artificial Intelligence newsletter with the latest AI technology advancements.

IN TODAY’S NEWSLETTER:

WATCH: Wall-climbing robot swarms crawl US Navy warships as China’s fleet surges

OPINION: AI comes with a hefty charge, and you are the one who gets stuck with the bill

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Dell workforce shrinks 10% for third consecutive year

Swarms of wall-climbing robots will soon be crawling across U.S. Navy warships in a $71 million effort to slash repair delays and boost fleet readiness as China continues expanding its naval power.  (Gecko Robotics )

TECH AT SEA: WATCH: wall-climbing robot swarms crawl US Navy warships as China’s fleet surgesFox News Digital reports on a new development in naval technology, featuring wall-climbing robot swarms that are crawling on U.S. Navy warships. This advancement comes at a critical time in defense politics as China’s naval fleet continues to surge in size and capability.

WALLET SHOCK: OPINION: AI comes with a hefty charge, and you are the one who gets stuck with the bill – In this opinion piece, the author discusses the economic implications of the growing artificial intelligence industry. The article argues that the hefty costs associated with AI development and its massive energy infrastructure will ultimately be passed down, leaving everyday consumers to foot the bill.

Dell Technologies headquarters in Round Rock, Texas, US, on Sunday, Nov. 26, 2023.  (Sergio Flores/Bloomberg via Getty Images)

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COST CRUNCH: Dell workforce shrinks 10% for third consecutive year – Fox Business reports that Dell’s workforce has shrunk by ten percent. This marks the third consecutive year of workforce reductions for the major technology company amid shifting economic conditions and corporate restructuring.

AIMING HIGH: FULL AUTONOMY: AI pilot technology advances towards military capability – Merlin CEO Matt George details how the company is using artificial intelligence to enable military and commercial aircraft to operate fully autonomously on Fox Business’ ‘The Claman Countdown.’

Single family homes in a residential neighborhood in San Marcos, Texas, US, on Tuesday, March 12, 2024. (Photographer: Jordan Vonderhaar/Bloomberg via Getty Images)

SHOULD I BUY?: Homebuyers, sellers turning to AI chatbots for advice – Prairie Operating Co.’s Lou Basenese and real estate broker Kirsten Jordan discuss how artificial intelligence is impacting homebuyers and sellers on ‘Fox Business In Depth.’

DISRUPTION IS HERE: Charles Payne: AI disruption is here – Fox Business host Charles Payne discusses the economic impact of the rise in artificial intelligence on ‘Making Money.’

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BUILDING HER BUSINESS: How Angie Hicks turned Angi into a home services giant and AI player – Angi co-founder Angie Hicks discusses entrepreneurship, company growth and how she built out her business on ‘Mornings with Maria.’

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A rogue AI led to a serious security incident at Meta

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A rogue AI led to a serious security incident at Meta

For almost two hours last week, Meta employees had unauthorized access to company and user data thanks to an AI agent that gave an employee inaccurate technical advice, as previously reported by The Information. Meta spokesperson Tracy Clayton said in a statement to The Verge that “no user data was mishandled” during the incident.

A Meta engineer was using an internal AI agent, which Clayton described as “similar in nature to OpenClaw within a secure development environment,” to analyze a technical question another employee posted on an internal company forum. But the agent also independently publicly replied to the question after analyzing it, without getting approval first. The reply was only meant to be shown to the employee who requested it, not posted publicly.

An employee then acted on the AI’s advice, which “provided inaccurate information” that led to a “SEV1” level security incident, the second-highest severity rating Meta uses. The incident temporarily allowed employees to access sensitive data they were not authorized to view, but the issue has since been resolved.

According to Clayton, the AI agent involved didn’t take any technical action itself, beyond posting inaccurate technical advice, something a human could have also done. A human, however, might have done further testing and made a more complete judgment call before sharing the information — and it’s not clear whether the employee who originally prompted the answer planned to post it publicly.

“The employee interacting with the system was fully aware that they were communicating with an automated bot. This was indicated by a disclaimer noted in the footer and by the employee’s own reply on that thread,” Clayton commented to The Verge. “The agent took no action aside from providing a response to a question. Had the engineer that acted on that known better, or did other checks, this would have been avoided.”

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Last month, an AI agent from open source platform OpenClaw went more directly rogue at Meta when an employee asked it to sort through emails in her inbox, deleting emails without permission. The whole idea behind agents like OpenClaw is that they can take action on their own, but like any other AI model, they don’t always interpret prompts and instructions correctly or give accurate responses, a fact Meta employees have now discovered twice.

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