Elon Musk has given an update with an outline for Tesla’s upcoming Full Self-Driving (FSD) software updates.
With FSD v12 and the upcoming launch of Tesla’s dedicated Robotaxi, there’s a lot of excitement around Tesla’s self-driving effort.
Musk is again in the too-familiar position of predicting that the automaker is close to releasing a true self-driving system, but the path to get there is still far from clear.
Two OpenAI employees who worked on safety and governance recently resigned from the company behind ChatGPT.
Daniel Kokotajlo left last month and William Saunders departed OpenAI in February. The timing of their departures was confirmed by two people familiar with the situation. The people asked to remain anonymous in order to discuss the departures, but their identities are known to Business Insider.
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A new paper suggests diminishing returns from larger and larger generative AI models. Dr Mike Pound discusses.
The Paper (No \
Inspired by the tetromino shapes in the classic video game Tetris, researchers in the US have designed a simple radiation detector that can monitor radioactive sources both safely and efficiently. Created by Mingda Li and colleagues at the Massachusetts Institute of Technology, the device employs a machine learning algorithm to process data, allowing it to build up accurate maps of sources using just four detector pixels.
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Wherever there is a risk of radioactive materials leaking into the environment, it is critical for site managers to map out radiation sources as accurately as possible.
The Church of Jesus Christ of Latter-day Saints published some statements about artificial intelligence (AI). The Church is by far the largest Mormon denomination – and that of which I’m a member. Its statements influence the perspectives and actions of millions of Mormons worldwide. Friends called the Church’s statements to my attention, asking for my thoughts.
As the AI bubble continues inflating at lightning speed, the people doing the industry’s grunt work are feeling the churn.
In interviews with CNBC, AI engineers from giant companies including Amazon, Google, and Microsoft say that they’ve been under immense pressure to build new products for their employers — except that on many occasions, the features they work tirelessly to deliver are shelved at the finish line.
One Amazon AI engineer, who spoke to CNBC anonymously over concerns of retaliation, said that he was assigned an urgent project on a Friday night that was due Monday morning by 6 am. Despite having out-of-town company, he blew them off to spend the entire weekend working on the project — only to learn later that it had been “deprioritized.”
A new robotic hand can withstand being smashed by pistons or walloped with a hammer. It was designed to survive the trial-and-error interactions required to train AI robots.
By Jeremy Hsu