Getting Infinite Data by 2080 to Improve SuperAI
A deep discussion of the developments with AI and the upcoming 2025 Tesla Dojo 2 and 2026 Dojo 3 chips. But AI needs compute and data.
Won't AI reach a limit as we use up human created data?
What if you can use mass production of space telescopes to monitor the whole galaxy down to objects the size of 10-100 kilometers in resolution?
Sending space probes would take decades to reach the nearest star and would take 100,000 years to get across the galaxy and lightspeed and sending back data would take another 100,000 years.
NASA has had many studies looking at placing one meter telescopes at the gravitational lensing areas. This allows a telescopes to leverage the gravity of the sun to make a telescope 100 billion times more effective. You would also need a solar coronograph to block the light of the other stars will enable the telescopes to directly image planets and moons and details of quasars and black hole halos and other objects.
NASA was working on a one third scale prototypes of the solar sails. Components like the sails have been built. This mission would be about 6 kilograms. A full scale mission would be less than 50 kilograms.
Galaxy Monitoring Array
What has been considered by NASA is production of the lightweight one meter telescopes at scale. What kind of scale? The scale of all cars on Earth and beyond?
Why Gravitational lensing enables looking that objects directly on the other side of the sun. If we had one scope for every solar system in the galaxy then we would be able to constantly image objects in every solar system in the galaxy. We would only need to go about 20 times faster than we have up to today. Solar sails that swing around the sun could achieve these speeds. We need to improve the heat resistance of the materials with materials that we have now.
Getting out 20 times further than Pluto lets us use the Sun for this 100 billion times improvement. A halo of telescopes around the sun is the Galaxy observation array.
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