I live in Norway, but can do anything, anywhere, to get 1 million dollars. (Must be legal)
1 million dollars or more, in one year.
2,775 karma · joined April 28, 2009
@andreasrosdal
1 million dollars or more, in one year.
As humans could...
1. It should be cheaper than the one it replaces.
2. It should be at least as small in scale as the one it replaces.
3. It should do work that is clearly and demonstrably better than the one it replaces.
4. It should use less energy than the one it replaces.
5. If possible, it should use some form of solar energy, such as that of the body.
6. It should be repairable by a person of ordinary intelligence, provided that he or she has the necessary tools.
7. It should be purchasable and repairable as near to home as possible.
8. It should come from a small, privately owned shop or store that will take it back for maintenance and repair.
9. It should not replace or disrupt anything good that already exists, including family and community relationships.
Let’s define a representative task: answering a moderately complex question.
1. Human Brain Power use: ~20 watts (on average while awake)
Time to think: ~10 seconds to answer a question
Energy used: 20
watts × 10
seconds = 200
joules 20watts×10seconds=200joules
2. ChatGPT (GPT-4) Estimate per query: Based on research and datacenter estimates, GPT-4 may use:
Around 2–3 kWh per 1000 queries, which is 7.2–10.8 megajoules
Per query: 7.2
MJ 1000 = 7200
joules 1000 7.2MJ
=7200joules per response (lower bound) 10.8
MJ 1000 = 10 , 800
joules 1000 10.8MJ
=10,800joules per response (upper bound)
Comparison Human: ~200 joules
ChatGPT: ~7,200 to 10,800 joules
Conclusion: The human brain is about 36–54 times more energy-efficient than ChatGPT at answering a single question.
Or in percent: 3,600% to 5,400% more efficient
Human brain: Uses about 20 watts of power.
ChatGPT (GPT-4): Running a single query can use hundreds of watts when accounting for the entire datacenter infrastructure (some estimates suggest 500–1000 watts per query on average, depending on model size and setup).
If we assume:
20 watts for the human brain thinking continuously,
1000 watts for ChatGPT processing one complex query,
then the human brain is about 50x more energy-efficient (or 5000% more efficient) than ChatGPT per task, assuming equal cognitive complexity (which is debatable, but good for ballpark comparison).
Where is the complete source code for this?