A concept for custom surfboard fin production utilizing data gathered generative design techniques and carbon fiber 3D printer technology. These fins can be created on an individual basis using high high quality materials. We are currently studying the impact of fin surface pattern density on lift, speed, maneuverability and strength as we refine the fin. A byproduct of this pattern name is haptic vibration felt by the surfer while riding this fin.
We are currently studying the impact of fin surface pattern density on lift, speed, maneuverability and strength as we refine the fin. Once we have made a fin model which is reliable and effective in unique surfacing we will be producing several prototypes with the use of Markforged printers.
We intend to utilize this unique design process to produce products which are compatible with current surfboard technology. We believe our current design has significant advantages over standard fiberglass/composit fin technology because of production technique.
We believe fin design represents a new paradigm to product design. While there are certain things, which have traditionally required special expertise and equipment, that many individuals and companies are able to produce, with the new concept of designing the surface, fin and fin. We believe this will reduce costs and waste significantly and enable us to produce better sporting equipment.
" is a large transformer-based language model with 1.5 billion parameters, trained on a dataset. GPT-2 is trained with a simple objective: predict the next word, given all of the previous words within some text. The diversity of the dataset causes this simple goal to contain naturally occurring demonstrations of many tasks across diverse domains. GPT-2 is a direct scale-up of GPT, with more than 10X the parameters and trained on more than 10X the amount of data."- OpenAI