Does it? There's no guarantee that algorithms receive any benefit from scale. Some don't.
And of course, in support of such an algorithm existing you have humans. Clearly AGI is present in human minds, and it apparently runs on about 20W of power.
1) Making money & keeping money are 2 different skillsets. You've made some $$$, now learn how to keep it.
2) Time is far more valuable than money. If you can take life-changing $$$ off the table in exchange for time, do so. The 2nd $1M buys you a tiny proportion of the benefits that the first $1M did.
3) You have a v. high risk concentrated portfolio that is aligned with your income. That's massive risk.
4) Taking it now buys you time & optionality. Leaving some still buys you blue sky. Best of both worlds.
Some would say further than 4 yrs. Enough of the voters and Congress have demonstrated that they are tolerant of this mode of leadership behaviour - internationally trust has disappeared for a generation.
I use minbrowser.org/ Some sites disallow it... min suggests changing the user-agent setting to something like - Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:109.0) Gecko/20100101 Firefox/121.0
Shorting NVIDIA & releasing everything including the source would have a high probability of being hugely profitable, with almost zero downside if it went unnoticed.
That would be an interesting 'insider trading' work-around: use inside knowledge of a private, non-US company to trade correlated stocks in public US companies.
If it was a public US company releasing Deepseek, and you shorted nvidia based on inside knowledge, presumably you'd fall foul of insider trading rules?
An interesting spin. But not an easy feat in any way. Yes, if you see the benchmark results, you can start speculate about its impact on the stock market
But it’s a consequence of your highly concentrated effort on the primary project (DeepSeek), not a side project.
He's demonstrated the former 16B times, now he's demonstrating the latter.
The big downside risk I see for Nvidia is a garage startup inventing a more efficient AI algo.... that only needs 20W to run.