DR.AMES
51
I finally made it back to the gym and it feels great 
it’s amazing how much wear COVID-19 created by being isolated in our homes 
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This is really cool @danielhanchen 
Sharing it in this thread to do my part!
Awesome work, really looking forward to it 
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Thanks!!! Super appreciate your support!!! I’ll definitely check the Twitter feed out!! 
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everything in the world is connected together and correspond to each other in some certain way, so we called butterfly effects, but it is so complicated beyond the understanding of human in most situations, using the algorithm and AI as a tool to figure out how the world work and correspond is valuable, but all in all, your app have to been tested in real-world, if it works well, it is have bright future and huge business value. but I doubt prediction in the real world is the strength of gpt-3. do you have any successful examples of your app? if it works well, I could help you to promote in the Chinese market and find investors.
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Hello @mingleejiang!
Oh we’re not using GPT3 for world predictions - we’re making the models ourselves 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:
- 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.
- Predict just Australian (since I’m from Australia ) 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.
- 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!! 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
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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Also NVIDIA just announced they’re building Earth-2 - a digital twin of planet Earth to predict climate change!
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your reply is so detailed and inspired, it is great, hope to have the opportunity to try your app in the future. thanks.
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Thanks @mingleejiang for your fabulous support on Moonshot!!! Super highly appreciate it!! Thanks a bunch!
Also thanks a bunch to @m-a.schenk for your consistent support as well! As well super appreciate it!!
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Thanks everyone here for your continued support!!!
We just got a YC interview invite for December 2nd!!!
Literally no joke - we’re constantly rejected by my relatives, friends, other founders, so literally the people here who support my bro and me - you guys are rockstars!!
Anyways low expectations for Dec 2nd - if we fail we’re gonna continue Moonshot’s mission of creating a world simulation!
Once again thanks everyone for your support during times of darkness!!
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Congrats, keep up the good work
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DR.AMES
61
Life comes from darkness? Let me know if there is any place we can collaborate : www.i-o.indtitute …
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THANKS!!! Literally thanks!! Your constant questioning really helped us!!!
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https://www.io.institute/ right?
But ye more than happy to chat more later!!!
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Hey everyone!! An update!! I did a guest piece with Earlywork on the simulation arms race!! 
Earlywork #48: The Simulation Arms Race
We’re launching a mini simulation for Australia in 2022 so if you’re interested, join our waitlist at www.moonshotai.org!! If you want to join us to make the impossible possible, there’s also a jobs link at the bottom of the site
NVIDIA’s Earth-2 supercomputer wants to predict climate change accurately by 2060. Armed with our 50-95% faster algorithms, we’re predicting not only climate change, but everything, quickly, efficiently and it’ll be open to the public!
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Hey everyone again!!
Sadly my bro and I did not make it to YC this time!
YC said we’ve already accomplished so much and have a bright future ahead, and they loved our passion and energy and understood we were smart - except they said we need to first take a detour to sell our data / algos then reapply after 6-12 months to feed our final mission!
I want to sincerely thank everyone here for supporting us - it means tonnes! I’m also grateful to YC since they woke me up - you can always take a detour to get to the final goal - and it might be a shortcut!
We’re going to first start repackaging our stuff first, sell stuff quickly as a detour!! Our main mission to create a world simulation hasn’t changed though!
Thanks everyone again here for your continued support!!!
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boris
67
Regarding your original post - embeddings endpoint is now available!
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OOOOOOOOOOOOOOOO thanks a lot @boris!!! I’m definitely gonna try it out!!! I can see Davinci is a whopping 12K in dimensions!!! Now that’s what I’m talking about!!! It clearly has much more context than Word2Vec’s 300 dimensions!
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EricGT
69
Summary created by AI.
The discussion revolves around Daniel Hanchen and his team’s exciting project, Moonshot, which aims to predict the future through simulating Earth. The goal is to answer various complex questions affecting individuals and society at large by simulating various factors such as the impact of rising sea levels on property prices or how local air pollution affects lifespan. The team initially used ConceptNet / Word2Vec for matching questions to a database, but plan to utilize and leverage GPT3 advancements for generating real-time predictions. They also developed Moonshot Hyperlearn that makes machine learning algorithms faster using less memory (Post 1).
Various applications of Moonshot were discussed including insurance, real estate, DNA Analytics, AI hardware, and governmental policy support. Their simulation technology has garnered interest from Australia’s Department of Defense, as well as from companies and organizations like Thales, Antler, and Newchip (Post 1).
User daveshapautomator expressed concerns about the misuse of trademarks like JARVIS but also offered to help by contributing his work on cognitive architectures (Post 2). Daniel Hanchen acknowledged this point and expressed an open mind to collaborate (Post 3).
Several users showed support for Moonshot and provided feedback and ideas, including a comparison to the concept of “Rehoboam” from HBO’s Westworld series (Post 5 & Post 6). Daniel also shared a demo video of Moonshot for his YC W22 application for users to get a better idea of the project (Post 15).
Towards the end of the discussion, Daniel shared a snapshot of the new website for Moonshot under development (Post 43) and expressed gratitude to the community for their support following their invite for a YC interview (Post 59).
Overall, the discussion reflects a vibrant and supportive community exploring together the possibilities and challenges presented by advanced AI technology.
Summarized with AI on Nov 24 2023
AI used: gpt-4-32k
