SHILL Issue 150

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@Dither_Solana Presenting a glimpse of our Premium offering—a preliminary demonstration involving our compact test model predicting $Bonk ‘s price approximately 8 hours into the “future” (red) versus the actual price (blue). The test model’s potential is evident. Our approach involves leveraging the preceding hours of data, feeding it into the model, and projecting hours ahead. The forecast maps trends, offering strategic turning points for advantageous trading. It’s crucial to note that this is an unoptimized iteration. Extensive work lies ahead in terms of validation, hyper-parameter tuning, and model selection. One can only envision the possibilities when applied to every mid or large-cap token, accessible at your convenience. This exemplifies the essence of Time Series AI—identifying optimal leverage points within charts to extract maximum signal. The example data selection is of past prices of bonk and this is only our test model which is far less capable than our production models. This week marks a significant breakthrough for us, centered around refining our embedding layers. The precision of embedding time series data into vector space directly correlates with the extraction of meaningful signals. Our model, affectionately referred to as a “Frankenstein monster,” adeptly retools open-source foundation models. Notably, our 30M parameter models have demonstrated competitiveness against Google’s 200M parameter model. Now, we have a model that is more than 100x smaller than our 2.7B parameter model and is about to enter production. We performed many hyper-parameter iterations to get decent gains. Then we made a stepwise gain by modifying the architecture of our embedding layers. This tiny model is better and faster than our large model. We will be stepping up the model size of this new architecture to make it even more powerful but expect an unannounced upgrade very soon. We will initially be doing classification, but the speed of this new model should allow us to bring our premium services online faster than previously anticipated. Look for more announcements soon. 14 SHILL Issue #150
Token gating of Standard Seer is now live. You need 2500 DITH to enter, and instructions are posted in our Telegram. Premium is still in development but progressing well. A delayed, on-chain free version is also in development. Then there’s the unrevealed burn mechanics. Our main telegram: https://telegram.org/a/#-1001975268649… Directions to link a wallet with Collab Land Please use the link to get verified through http://collab.land and get into the token gated SeerBot Group. You will click on “connect wallet” which will take you to a http://collab.land website. From there you will click on Solana and sign a message. THERE WILL BE NO TRANSFER DURING THIS PROCESS. Collab land is simply proving that you own the wallet. If it ever looks like you are sending something, please reach out to myself or an admin. This needs to be the wallet that you have the 2500 DITH. Otherwise you will not get verified. After Verification you can leave the webpage and return to telegram. The http://Collab.land bot will welcome you to the new token gated group. SeerBot Another Telegram trading bot... with AI. I know, I know. AI is hyped. What is it doing with the crypto bros (and gals)? Well the Dither project has a SOTA time series model that is trained on open source data from the Solana blockchain. Financial instruments are notoriously difficult to predict. If our model works here then it will work anywhere. • Benchmarks as good as Google • Trained on Open Source data • AI deployed 02/17/2024 • Telegram based
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SHILL Issue 150

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