You are not thinking like a billionaire. If you have 250 billion, you would pay 12.5 billion in taxes, which is about half of what you could realistically gain in a year before taxes. Now your options are:
1. Do nothing and lose 12.5 billion
2. Do something to avoid paying 12.5 billion.
Which option would you pick?
Both you can Bezos can be right at the same time.
How many jobs require intelligence?
We don't. We use OpenJDK. Oracle Java is based on OpenJDK also.
Nuclear reactors use most surface water, not ground water. So it doesn't normally affect drinking water or ground water levels.
Also, closed loop does not evaporate. The loop is not closed if stuff escapes from it. It just runs around in the piping system over and over again, but eventually water will become "dirty" and it will be dumbed into the sewers and replaced with new water.
You can arrange cooling also with non-closed loop where you use evaporation, as it was done in the old days, but in new data centers it is hardly used.
1. Ban nuclear in the law
2. Buy nuclear plants
3. Unban nuclear
4. Profit
AI doesn't necessarily need to be better than humans. Even if it is worse, it can still bring a better outcome. Cases where this might be are:
1. When human doctor is out of ideas. In such a case, even wild guesses can lead to better outcome than not trying anything.
2. When human doctors are out of time. In such cases AI making bad decisions might be better than delaying the decision.
3. When screening huge population. AI might have worse accuracy, but with the ability to do millions of screenings, it could find the most obvious cases quickly.
4. When patient can't afford a doctor. Even a bad doctor can be better than no doctor at all. But this one requires some guard rails to limit what it might suggest.
LLM can change the answer, but you can ask it x times and use majority vote to pick the best answer to get rid of random errors. This is an actual scientific strategy that is used with AI models to get more accurate results. There was one experiment where they managed to get over a million right answers without a single error using this strategy.
I think that the blind spot for many are the AI models used for science (Alphafold, AlphaEvolve, AlphaGenome, WeatherNext, AlphaEarth,AlphaZero,
Here is a study about triage where AI fails to beat humans:
"Results from a randomized, interface-blinded, crossover simulation study involving 120 hypothetical telemedical encounters performed by real primary care physicians, the AI co-clinician or GPT-realtime. "
https://deepmind.google/blog/a...
> I want my unicorn. Competent biologists should be able to do it.
"Why are there no unicorns?"
https://youtube.com/shorts/G1A...
By the way, I recommend also "How to build your dragon (training sold separately)". As dragons are something we could make.
https://www.youtube.com/watch?...
I think you can still get support for it using external kernel module. It is just removed from the main kernel.
Using guns and fans is forbidden by the law of table tennis. You would have to make a robot that uses paddle to hit the ball. When doing that, you have physics against you, so at most you might get something like 100 m/s speed for the ball. Faster than that and ball gets crused. With that speed it would be hard to return, but not impossible (it is about 3 times the speed humans can produce). The ball loses speed quickly, so standing behind the table might do the trick.
4. We use AI to do tasks that it is good at and humans do tasks that they are good at.
I don't understand why everyone is trying so hard to make AI do things that are pretty impossible for it. Do they hate programming so much?
The first 90% of a project takes 90% of the time, the last 10% takes the other 90% of the time.
