Futures
Access hundreds of perpetual contracts
TradFi
Gold
One platform for global traditional assets
Options
Hot
Trade European-style vanilla options
Unified Account
Maximize your capital efficiency
Demo Trading
Introduction to Futures Trading
Learn the basics of futures trading
Futures Events
Join events to earn rewards
Demo Trading
Use virtual funds to practice risk-free trading
Launch
CandyDrop
Collect candies to earn airdrops
Launchpool
Quick staking, earn potential new tokens
HODLer Airdrop
Hold GT and get massive airdrops for free
Pre-IPOs
Unlock full access to global stock IPOs
Alpha Points
Trade on-chain assets and earn airdrops
Futures Points
Earn futures points and claim airdrop rewards
Promotions
AI
Gate AI
Your all-in-one conversational AI partner
Gate AI Bot
Use Gate AI directly in your social App
GateClaw
Gate Blue Lobster, ready to go
Gate for AI Agent
AI infrastructure, Gate MCP, Skills, and CLI
Gate Skills Hub
10K+ Skills
From office tasks to trading, the all-in-one skill hub makes AI even more useful.
GateRouter
Smartly choose from 30+ AI models, with 0% extra fees
Train employees with AI! Meta launches an internal tracking tool that records all employee mouse movements and keystrokes
Meta installs internal tracking tools on US employees’ computers to record mouse, keyboard movements, and screenshots, collecting data to train AI models. The company emphasizes that this does not involve performance evaluations, but it still sparks employee monitoring and privacy concerns, with European regulations potentially banning such practices.
Meta launches internal tracking tools to train AI with employee behavior
Meta is installing Model Capability Initiative (MCI) internal tracking tools on the computers of US employees. This software runs on work-related applications and websites, recording employee mouse movements, clicks, keystrokes, and periodically capturing screenshots.
The purpose of collecting data is to train its own AI models, enabling AI to better mimic human computer operations.
A Meta spokesperson told Reuters that, the data collected by MCI will never be used for employee performance evaluations or for any purposes other than model training.
However, while Meta claims to have taken measures to protect sensitive content, it has not specified which types of data will be excluded from collection.
The US does not restrict “white-collar surveillance,” but Italy and Germany have strict regulations
Yale Law Professor Ifeoma Ajunwa states that recording keystrokes takes data collection a step further, exposing white-collar employees to real-time monitoring previously only experienced by delivery workers. However, the US government has no restrictions on labor monitoring; at most, state laws require employers to inform employees about monitoring.
Toronto York University Law Professor Valerio De Stefano points out that European laws are very likely to prohibit such monitoring practices. Italy explicitly states that using electronic surveillance to track employee productivity is illegal; in Germany, courts have ruled that employers can only deploy keystroke logging tools in cases of suspected serious criminal activity.
Image source: Negative Space free stock library, showing a woman white-collar worker working on a Mac computer (illustration)
Meta doubles down on AI, reshaping internal work models
According to BBC, Meta CEO Mark Zuckerberg recently pledged to increase AI project spending, aiming to invest about $140 billion in AI by 2026.
Zuckerberg has predicted that 2026 will be a year of significant change in work due to AI, with the company heavily investing in AI technology. Besides Zuckerberg himself trying to code with Claude, internally, Meta has launched the Token Legend leaderboard, recording employees’ token usage on AI tools as a performance metric.
Meta’s Chief Technology Officer Andrew Bosworth mentioned in an internal memo that the company will strengthen internal data collection to accelerate AI agent transformation projects.
A recently resigned Meta employee revealed that the internal tracking tools are part of the company’s latest efforts to promote AI. As Meta shifts its funding toward AI R&D, employees expect further layoffs in the future. Recently, Meta decided to cut 10% of its global workforce by the end of May, approximately 8,000 employees losing their jobs.