The Problem With Self-Driving Cars: The Name

In 1899, you might have been forgiven for thinking the automobile was only a rich-man’s toy. A horseless carriage was for flat garden pathways. The auto was far less reliable than a horse. This was new technology, and rich people are always into their gadgets, but the automobile is a technology that isn’t going to go anywhere. The roads are too terrible, they don’t have the range of a horse, and the world just isn’t set up for mechanized machines rolling everywhere.

This changed. It changed very quickly. By 1920, cars had taken over. Industrialized cities were no longer in …read more

Continue reading The Problem With Self-Driving Cars: The Name

The Problem With Self-Driving Cars: The Name

In 1899, you might have been forgiven for thinking the automobile was only a rich-man’s toy. A horseless carriage was for flat garden pathways. The auto was far less reliable than a horse. This was new technology, and rich people are always into their gadgets, but the automobile is a technology that isn’t going to go anywhere. The roads are too terrible, they don’t have the range of a horse, and the world just isn’t set up for mechanized machines rolling everywhere.

This changed. It changed very quickly. By 1920, cars had taken over. Industrialized cities were no longer in …read more

Continue reading The Problem With Self-Driving Cars: The Name

Forensic Linguist Says ‘Lodestar’ Can’t Tell Us Who Burned Trump in New York Times Op-Ed

Guessing the anonymous author of the Trump op-ed in The New York Times based on the use of the word ‘lodestar’ is “entirely useless,” according to a forensic linguist. Continue reading Forensic Linguist Says ‘Lodestar’ Can’t Tell Us Who Burned Trump in New York Times Op-Ed

Tetra raises a $1.5M seed round to bring deep learning to voice transcription

 There are a million and one services for voice transcription on the market. But even with just one job to do, I’ve never seen a service that can handle the long tail of vocabulary used in the real world. This is particularly challenging if you’re a startup trying to sell your service to enterprises that rely on accurate transcription for their operations. Read More Continue reading Tetra raises a $1.5M seed round to bring deep learning to voice transcription

The NSA Data Leakers Might Be Faking Their Awful English To Deceive Us

Who are really The Shadow Brokers? Their broken English suggest they might actually be English speakers. Continue reading The NSA Data Leakers Might Be Faking Their Awful English To Deceive Us