Moonshot - Predicting the future and making JARVIS!

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Hello @mingleejiang!

Oh we’re not using GPT3 for world predictions - we’re making the models ourselves :slight_smile: GPT3 is used for JARVIS - ie you can ask ANY question you like to Moonshot Earth ie “how long will I live”, “how will climate change affect me” or “when will the market next crash”. GPT3 or GPTx or any Transformer model will just be used to parse the questions.

I exactly agree! The world is connected, and yes any small little change anywhere in the world will cause a butterfly effect that changes the future. Chaos theory and dynamical systems models take this into account, where models understand that small changes in systems can affect the final outcome. For example, ramping up the Reynolds number in Navier Stokes for fluid dynamics can cause huge unpredictability.

Hence our gameplan is:

  1. Predict stock market crashes, stocks. Clearly if you can’t predict the market, how the hell can you predict the world? We’re already seeing a 2x returns just by predicting the Dow Jones index. We’re maybe releasing this December 2021 or early 2022.
  2. Predict just Australian (since I’m from Australia :slight_smile: ) societal dynamics - ie life expectancy, disease rates, air pollution, traffic congestion, climate change impacts, house prices - u name it! Moonshot Earth v1 is going to be released maybe mid next year.
  3. Global expansion - US, China, UK, Europe, everywhere! This might be a 20-30 year mission.

If you’re interested in learning more about the technical details: Moonshot Technical Demo + What we've been up to! - YouTube and also our website: https://www.moonshotai.org/

But ye thanks @mingleejiang for your support and help!! :slight_smile: We’re currently chatting away with some VCs in Australia, so I’ll post updates on it here!! We’re launching mid 2022, so can’t show u anything yet :slight_smile:

I can only show u the fast algorithms which will underpin the Earth simulation which has 1.2K Github stars, with us being cited in Microsoft, UW, Greece research papers and algos are now inside NVIDIA, Facebook’s Pytorch and more. We also got contacted by Australia Defence on using our algos but declined due to ethics.

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