We will also continue to invest in the IDE until codebases are self-driving.
令人惊讶的是:Cursor明确表示将持续投资IDE直到代码库能够自我驱动,这展示了他们对AI编程未来的大胆愿景,暗示未来可能完全不需要人工干预的软件开发流程。
We will also continue to invest in the IDE until codebases are self-driving.
令人惊讶的是:Cursor明确表示将持续投资IDE直到代码库能够自我驱动,这展示了他们对AI编程未来的大胆愿景,暗示未来可能完全不需要人工干预的软件开发流程。
Tesla Cybertruck na Polskiej Wsi: Czy FSD nas zabije?
If I were asked to condense the whole of the present century into one mental picture I would pick a familiar everyday sight: a man in a motor car, driving along a concrete highway to some unknown destination … I think that the 20th century reaches almost its purest expression on the highway. Here we see, all too clearly, the speed and violence of our age, its strange love affair with the machine and, conceivably, with its own death and destruction.
Cars weirdly coffin-shaped; thinking about the death of distance, the impatience between points, and the necessity to kill intervening 'dead' time spent in transit
it might be killing three times the number of cyclists over a million rides than another model
Fair enough. But then we should also make the counter-argument...how many motorists did the self-driving car save in the same period?
I know that this is a tricky ethical scenario and I'm not trivialising it, but these arguments are overly simplistic and one-sided.
machines tend to be designed for the lowest possible risk and the least casualties
why is this a problem?
Namely, what can we do with parking lots and structures?
An interesting thought question!
Uber's self-driving car program, suspended in San Francisco two months ago, had mapping problems that caused the cars to run at least six red lights in the city, the New York Times reports.
Whoa!
The biggest challenge in building an autonomous vehicle is giving the car the ability to see the world. It requires a thorough understanding of lidar, the radar-like system of lasers that creates the digital map each car needs to navigate the world safely and competently.
I was thinking about this the other day...
The Tesla accident in May, researchers say, was not a failure of computer vision. But it underscored the limitations of the science in applications like driverless cars despite remarkable progress in recent years, fueled by digital data, computer firepower and software inspired by the human brain.
Testing annotations. Interesting statement.