Earnings boss fight unlocked 💸This week’s volatility lineup:🔹29th $MSFT + $META🔹30th $AAPL🔹31st $AMZNWall Street has closing bells.Trade the action 24/7 on @HTXFuturesWho’s watching? 👀 https://t.co/huQjMFRZ4a ...

So many things go wrong when you're starting a company. And often I think people ask what mistakes should you avoid making. My answer to that question is don't even bother trying to avoid mistakes because you're going to make tons of mistakes.The important thing is actually learning quickly from whatever mistakes you make and not giving up. There are things every single year of Facebook's existence that could have killed us or made it so that moving forward and making a lot of progress just seemed intractab ...

For the past two months, the Wall Street Journal looked into [music] all the different ways in which President Trump has supercharged fundraising since he won the November 2024 election. >> [music] >> How much has the president raised since he won the election and what do we know about their donors. >> This is all my money and donors money. This is tax-free.>> We documented that President Trump and his allies have raised at least $781 million since he won the November 2024 election. This number we came up w ...

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Market Dynamics - Moody's warns that unprecedented artificial intelligence capital expenditure threatens the credit quality of Amazon, Meta, Alphabet, and other hyperscalers [1] Financial & Investment Risk - Projected artificial intelligence capital expenditure is expected to hit 1 trillion US dollars by the year 2027 [1]

As student protests spread across India, Prime Minister Narendra Modi has turned to Meta’s Instagram Reels, swapping his trademark cinematic videos for raw, self-recorded messages aimed at the country’s youth https://t.co/2N8b9LCZ1J ...

Financial Performance & Financing - Amie Labs raised 1.2 billion in Europe's largest ever seed round, primarily driven by high computing and GPU costs [8][36] - The company secured 1.2 billion in funding, where the primary cost is market expectations rather than financial dilution [1] Market Trends & Industry Insights - World models learn directly from real-world data like video, audio, and robotics touch, contrasting with LLMs that only learn from text proxy data [12][14][15] - World models target high-dimensional, noisy, and long-horizon problems such as robotics and open environments, whereas LLMs remain superior for language, math, and programming [22][23] - Current autonomous driving companies and industry projects utilize foundational ideas similar to world models in production [24]