Situations like this create hesitation about aping the Nikkei — Japanese companies can be too business-friendly.

the largest US companies want more computers, so the US government approves it — very simple logic

That framing turns it into a binary: "lose" to China or make corporations richer

Some argue corporations outweigh government, but it's already clear the conversation takes a detour into portraying AI as a national security necessity — presented as something that just has to happen.

These policies will have immense consequences over time. Assessments that set aside ideology or fairness reflect the situation as it is. For now, substantial capital is available and pullbacks have tended

Industrial policy that backs winners and builds national champions Weaponization of assets, such as proposed seizure of Russian assets held in Euroclear

Stock markets shifting from impartial price discovery into engines for distributing prosperity Financial repression of the banking sector to achieve policy goals like lower long-term interest rates

This echoes the meme about someone who complains the government is propping up markets to drive them higher, then shorts that thesis The world is shifting toward economic nationalism. This includes:

Consider: OpenAI is requesting a federal backstop for AI capex, which is likely to be granted given the national-security importance of the AI race, yet concluding this is bearish for AI investments seems

The largest US companies want more computers, so the US government will approve that — very simple logic

so money roughly = resource, influence, power what happens when big corpos inevitably build a billion robots in a decade or two, securing resources and controlling entire supply chains without needing

Totally, access is just the starting point. Without some kind of filter or focus, it’s easy to drown in the noise. Like having every book but no idea where to start.

Instead, society seems to be getting dumber: ChatGPT insists people are always right while another YouTube Short plays, and predicting behavior is hard

Many books that tried to predict the future argued the internet age would make everyone smarter, since access to knowledge would mean everything ever written is available

As a professional trader, price 'predictions' are not made A probabilistic view of the market is formed using conditional if/then statements Example: if the market drops any further, securing a real job

Bottom line: A sub-$100M manipulation on Binance plus a $1.1B leveraged short elsewhere set off a $19B market collapse — a failure of exchange collateral valuation under macro stress, not a stablecoin

Binance acknowledged platform-related issues, proposed compensation for affected users, and implemented minimum price floors plus oracle integration. USDe stayed operational, and the incident is now cited

6️⃣ Aftermath

Binance’s pricing design and delayed oracle rollout are identified as the root cause; manipulators executed the moves and profited via external shorts; Ethena (USDe) reportedly remained 1:1 collateralized

5️⃣ Who’s at fault?