[thecopy]

When DeepSeek was released, it had an immidiate and significant impact on the US stock-market. Now when its becoming common knowledge that China is almost at parity with US SOTA models with good momentum, why is there no sentiment change on the market?

[pembrook]

Because markets in the short term are almost a random walk and making the blanket statement that “Walmart stock is down today because Deepseek” was an easy narrative to repeat for media people who cover the stock market.

In reality the world is a highly complex, chaotic, reflexive system, and saying “the entire market moved today because of 12,000,000 factors that randomly aligned” isn’t satisfying enough for people to follow your media channel so they can monetize your eyeballs.

[christophilus]

Because, as you said, this is no longer news. Deepseek was the news. This is just the predictable progress playing out.

[pama]

It was never DeepSeek’s release that dropped the NASDAQ at the time; it was the unknown risks of the early thoughts related to trade wars. Popular financial newspapers can promote anything they want, but these news do not typically drive large investor decisions.

[h2aichat]

It might be because no interested party is using that piece of news to move market. They have enough with other news to do it. Just a practical matter (or may be something else, who knows!)

[paxys]

The “significant impact” lasted like 2 days and then the market corrected itself.

[uhhhhwhaaaa]

Back then people didn't understand how AI was run. It should have probably made Nvidia stock actually go up. I think the other Factor, and I might just be two into AI and most people are normies, the hype around Chinese models we've learned is overblown. United States models are a league above.

[notatoad]

there was a significant impact on the market because the market assumed that a strong cheaper model would have a significant impact on the US AI companies' business. That didn't happen.

[dominotw]

deepseek drop was based on assumption that we overestimated how much compute and infra is needed to train models. They seem to have claimed that they did it in couple of million or something.

[hereme888]

Because the markets learned Chinese = fake results

[dirasieb]

maybe because it's not true?