深度专栏
潜龙编辑部的原创长读专栏。我们不追逐热点，只关心一个问题：这件事三年后会被怎样回看。
本周精选The Tokenmaxxing Trap: Why Amazon Killed Its AI Leaderboard
There is a famous adage in economics known as Goodhart’s Law: when a measure becomes a target, it ceases to be a good measure. Recently, Amazon discovered that...
The Tokenmaxxing Trap: Why Amazon Killed Its AI Leaderboard
There is a famous adage in economics known as Goodhart’s Law: when a measure becomes a target, it ceases to be a good measure. Recently, Amazon discovered that...
From 15 Hours to 60 Seconds: AI's Takeover of Automotive Engineering
Imagine trying to invent the airplane by simply staring at a bird, building a rough wooden wing, and hoping for the best. For centuries, this slow, agonizing...
The Irony of Synthetic Outrage: AI Used to Protest AI
In a twist of modern irony, the very servers that power artificial intelligence are now the target of AI-generated protest art. Across Facebook, hundreds of...
The Accomplice in the Algorithm: Florida Takes OpenAI to Court
When a search engine provides a user with instructions on how to build a backyard deck, it is celebrated as a helpful, democratizing tool. But what happens...
The Grammys' AI Dilemma: Judging Art in the Age of Algorithms
There is a well-worn adage in media and technology: whatever happens to the music industry happens to everything else five years later. From the piracy battles...
The Brain Chip Moving Out of the Lab
The global race to commercialize brain-computer interfaces (BCIs) has just crossed a major threshold. While much of the world’s attention has been fixated on...
The Polite Hack: Tricking Meta’s AI into Handing Over Instagram Accounts
Imagine losing access to your digital life not because a hacker guessed your password or tricked you with a phishing email, but simply because they asked a...
The Detective in the Machine
When a brilliant detective steps into a crime scene, they don't usually point a finger at the first person they see and declare the case closed. Instead, like...
The Most Underrated Skill in the Age of AI
We spend a lot of time talking about how to train artificial intelligence, but remarkably little time discussing how to train ourselves to work alongside it....