so many FREE replies, good they don’t charge per reply
ECONOMY
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Wall Street Bloodbath: Market Reaction to AI Developments
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Given the bloodbath, they should just rename Wall Street to Fall Street.
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EU Regulation Against Big Tech: Fines and NATO Implications
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Imagine the imagination reality Mike Lee inhabits. Just as a reminder. Operate in EU by EU rules. Or GTFU. Apple was fined $14.4bn Meta was fined $3bn Google was fined $2.7bn Nobody left Nato, and if Musk is fined $1bn nobody will leave Nato.
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Social Networks Face Billions in Fines for Regulatory Violations
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Lol, $1BN is nothing, do you know how much fines the other social networks have had to pay up? Imagine being so disconnected from reality.
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Robots and Humans: Class Conflict in Dystopian Metropolis
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“In the wealthy plutocratic city of Metropolis, humans co-exist with robot laborers designed to build and maintain the city. However, its impoverished human citizens discriminate against robots, blaming them for their unemployment and being forced to live in the squalid lower… https://t.co/0WBEFm39Du
— hardmaru (@hardmaru) 5 avril 2025“In the wealthy plutocratic city of Metropolis, humans co-exist with robot laborers designed to build and maintain the city. However, its impoverished human citizens discriminate against robots, blaming them for their unemployment and being forced to live in the squalid lower
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Companies Racing to Acquire TikTok Amid Regulatory Pressure
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Let’s just start reporting on which companies haven’t attempted to buy TikTok yet. May end up being a shorter list. https://
x.com/selinawangtv/s
/selinawangtv/status/1908199653545250986
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Tech Stock Buying Opportunities During Market Decline
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Making a list? When the market falls sharply, everyone wants to make a list of stocks to buy. Here are some thoughts on what’s gotten cheaper and what’s gotten more expensive. https://
thetechnologyletter.com/the-posts/maki
ng-a-list
… $AAPL $SONY $NVDA $AMD $TXN $ADI $SNOW $VRSN $DASH $NFLX -
Automating Call Centers: Will 50% of Jobs Disappear?
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It’s a little too soft to resolve properly. Maybe one example. Pick something everyone thinks is surely easy to automate yesterday, eg call centers. Number of employees across the 5 biggest call center companies falls by 50% by year X.
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Moving AI Predictions to Betting Markets for Truth
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Let’s take AI predictions from blog posts, podcasts and tweets and move them to betting markets, our state of the art in truth. My struggle has been coming up with good, concrete, resolvable predicates. Ideally, predicates related to industry metrics and macroeconomics. Eg
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Deepseek Wukong BYD: Signaling New Reality in India
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debates aside, you need Deepseek Wukong BYD in India to signal a new reality