Tesla continue to “abruptly veer” their occupants fatally into trees, poles and other cars.

The fraud of “Autopilot” is suspected in a new NC crash, from a combination of hardware and software design defects.

Jillian Daly was operating her 2020 Tesla Model Y north on Westridge Road, according to the news release. She drove through the southbound lanes and off the roadway to the left, police said. The vehicle struck two large trees.

Daly was taken to the hospital with life-threatening injuries and died on Tuesday.

The news says she was operating the car before she inexplicably drove it into the trees, perhaps a subtle clue from investigators. Exiting a curbed and quiet Westridge Road in Greensboro at 9:30 am suggests someone alert yet under pressure — distracted morning commuter or shopper on mission — not sleeping or night racing.

And the two large trees probably saved lives by preventing this Tesla from crashing and exploding inside someone’s house instead.

On that note the crash report reads to me like several other recent Autopilot disasters, including NY, FL, TX and CA. How many more “fans” of Tesla have to die like this?

What we know for certain is that Tesla after Tesla has suddenly killed people in “veered” circumstances. Some actually live to tell what it was like to have the Tesla robot try to murder them, such as a Michigan woman or, an Aussie man or a Californian man.

The car is basically an explosive loitering munition dumped into public use with faulty parts and bad code. The more Tesla on the road, the more disasters and death, with a direct causation unlike any other vehicle.

Recently, there was significant media attention surrounding a tragic incident involving a very wealthy woman and her daughter from Silicon Valley. They abruptly and mysteriously lost their lives when their Tesla suddenly “veered” into a tree and caught fire. The members of family who survived because they weren’t in a Tesla put up a gofundme page and raised $50K or more within days allegedly just for funeral costs.

What strikes me as peculiar is the emergence of a “Tesla community” that insisted on shaping the narrative and raising funds for the surviving family of the victims. It seems that if you own a Tesla, there is an expectation that fellow Tesla owners will express concern and support if such a tragedy occurs. This behavior resembles a clique or exclusive group, as they purposefully create harmful outcomes to society and then overlook the plight of others not part of their coin-operated community.

On the contrary, it appears that Tesla owners show little attention when a Tesla is involved in a fatal accident that claims the life of someone outside the car, particularly pedestrians.

A recent lawsuit illustrates this discrepancy clearly. The lawsuit reports a tragic and avoidable incident in 2020 where Mark Douglas Taylor experienced an attempted murder in Texas, allegedly as a result of Tesla’s poorly-engineered “Autopilot” feature. Taylor passed away after 16 months of intensive hospital care and costs, having become a quadriplegic and unable to recover from the attack. However, there was no comparable response from the “Tesla community” as seen in the Silicon Valley incident where the car owner was quickly suffocated and burned to death in her own vehicle explosion.

#Let’sGoMarkTaylor. $6,315 USD raised of $65,000 goal. 49 donations

[…]

One fine morning in June 2020, as he was taking out the trash in front of his Dallas, TX, home, Mark Taylor, the 46-yr-old entrepreneur and married father of 3 teenagers, was run down by a man engrossed with his phone, trusting that his “self-driving” Tesla wouldn’t destroy any lives that day.

Mark survived 16 months, having gone through the hell of being struck by a Tesla at 45+mph as he was walking away from the trash cans on the street in front of his house, sustaining a grossly severe traumatic brain injury and body-wide catastrophic injuries that rendered him a severely brain-damaged quadriplegic unable to speak or communicate.

I’m quoted by George Lawson in a new TechTarget article about threat modeling AI.

“Releasing ChatGPT to the public while calling it dangerous seems little more than a cynical ploy by those planning to capitalize on fears without solving them,” said Davi Ottenheimer…. He noted that a bigger risk may lie in enabling AI doomsayers to profit by abusing our trust.

And allow me to clarify abuse of trust by pointing towards a linguistic analysis.

The rise of neofascism and pseudo-populism today is connected to the spread of a false belief system activated by the autocrat’s strategic, clever rhetoric, which is perceived as a language that speaks directly to everyone, unlike the talk of elites or academics.

Not to mention that widespread abuses already are being hidden.

The tech industry has a history of veiling the difficult, exploitative, and sometimes dangerous work needed to clean up its platforms and programs.

The pace of AI innovation has been impressive lately. Microsoft is increasingly looking like it’s going in reverse compared to smaller, faster and less expensive options already available.

Cerebras and Opentensor are pleased to announce BTLM-3B-8K (Bittensor Language Model), a new state-of-the-art 3 billion parameter open-source language model that achieves breakthrough accuracy across a dozen AI benchmarks. Given that the most popular model on Hugging Face today is 7B, we believe compacting 7B performance to 3B is an important milestone in enabling AI access on mobile and edge devices. Unlike large models like GPT-3 that runs from the cloud, BTLM fits in mobile and edge devices with as little as 3GB of memory, helping democratize AI access to billions of devices worldwide.

This is a repeat of distributed computing history, given the open standards community developed more efficient kernels (Linux) and innovated far faster than Microsoft. Open source AI lately has been developing solutions faster than proprietary and closed versions, but small groups of focused closed source innovators in trusted AI could next speed meaningful innovations ahead of the giant brands known to extract and exploit your data.

Thus, most importantly, a rapid shift towards distributed low-cost high-freedom compute such as your phone means you don’t have to sacrifice confidentiality and integrity of data (hand control over to dubious agents of Microsoft) in order to use AI.