argonavis.io | Lead Software Engineer | NYC | Full-time or Part-time
Do you like space exploration, modular SSTO spaceplanes and player-driven economies?
Argo Navis is an early stage, deep tech game project based in NYC.
We're looking for a part-time to full-time lead software engineer that can potentially continue as co-founder. Compensation is heavy on equity but we have funding for market rate cash pay. The role can be partially remote.
We're working on a new multiplayer space-based sandbox game. Our current focus is physics simulation, procedural generation and resource-based economics. Two major influences are Kerbal Space Program and Eve Online.
The game engine, server and client code are all in an embarrassingly early stage. The plan is to flesh these out with prototype implementations of spatial reference frames, Orbital / Newtonian mechanics and collision detection / resolution. All game states and state transitions will be wrapped in a cryptographic layer to support verification of the current game world, its history and replays of partial world states. Deterministic randomness (not a contradiction; see BLS crypto) will drive the procedural world generation. Players interact with the server exclusively through secure cryptographic signatures - enabling the game and all its interaction to form a secure protocol. But don't worry, we're not building a blockchain nor shilling any tokens :)
The project is radically open: all server and client code is open source and all digital / sound assets are open and free to use. Drafts of first principles, source code:
Feels like people take these new models way too seriously.
Yes, GTP-3 is a very significant leap. But how is this different than someone fine tuning any recent, open and free AI model over e.g. all emails and chats from a late friend or even fiancée?
If doing so gives anyone value, how is it wrong?
I'm pretty sure this is the same alarmist thinking as TV will mess up the kids, or video games causing violent tendencies. Initially, we'll all be blown away by ever improving AI models. Then, optimal models for imitating patterns over a given text set will be a commodity, if it's not already. And it'll be everywhere, and we won't think much of it.
Another piece of financial literacy that should really be taught in every high school is the Kelly Criterion. Even a basic understanding of the concept can improve many people's risk/reward over time.
And while it's often mentioned in the context of high-risk bets, it's equally applicable to low-risk savings / investments (how much of savings to keep in cash vs the general stock market, given X% estimated inflation).
Surprisingly, I've come across a large number of people in (seed) investment circles, active investors and entrepreneurs who didn't know about it.
argonavis.io | Lead Software Engineer | NYC | Full-time or Part-time
Do you like space exploration, modular SSTO spaceplanes and player-driven economies?
Argo Navis is an early stage, deep tech game project based in NYC.
We're looking for a part-time to full-time lead software engineer that can potentially continue as co-founder. Compensation is heavy on equity but we have funding for market rate cash pay. The role can be partially remote.
We're working on a new multiplayer space-based sandbox game. Our current focus is physics simulation, procedural generation and resource-based economics. Two major influences are Kerbal Space Program and Eve Online.
The game engine, server and client code are all in an embarrassingly early stage. The plan is to flesh these out with prototype implementations of spatial reference frames, Orbital / Newtonian mechanics and collision detection / resolution. All game states and state transitions will be wrapped in a cryptographic layer to support verification of the current game world, its history and replays of partial world states. Deterministic randomness (not a contradiction; see BLS crypto) will drive the procedural world generation. Players interact with the server exclusively through secure cryptographic signatures - enabling the game and all its interaction to form a secure protocol. But don't worry, we're not building a blockchain nor shilling any tokens :)
The project is radically open: all server and client code is open source and all digital / sound assets are open and free to use. Drafts of first principles, source code:
Do you like space exploration, modular SSTO spaceplanes and player-driven economies?
Argo Navis is an early stage, deep tech game project based in NYC.
We're looking for a part-time to full-time lead software engineer that can potentially continue as co-founder. Compensation is heavy on equity but we have funding for market rate cash pay. The role can be partially remote.
We're working on a new multiplayer space-based sandbox game. Our current focus is physics simulation, procedural generation and resource-based economics. Two major influences are Kerbal Space Program and Eve Online.
The game engine, server and client code are all in an embarrassingly early stage. The plan is to flesh these out with prototype implementations of spatial reference frames, Orbital / Newtonian mechanics and collision detection / resolution. All game states and state transitions will be wrapped in a cryptographic layer to support verification of the current game world, its history and replays of partial world states. Deterministic randomness (not a contradiction; see BLS crypto) will drive the procedural world generation. Players interact with the server exclusively through secure cryptographic signatures - enabling the game and all its interaction to form a secure protocol. But don't worry, we're not building a blockchain nor shilling any tokens :)
The project is radically open: all server and client code is open source and all digital / sound assets are open and free to use. Drafts of first principles, source code:
https://github.com/star-formation/argo-navis/blob/master/doc... https://github.com/star-formation/tesseract
Concept Art at http://argonavis.io (NOTE: the discord channel is inactive for now)
Contact: ENC = b'aW5mb0BhcmdvbmF2aXMuaW8='; base64.b64decode(ENC)