The project started on a lottery prediction tool back in 2008.
It was conjecture, experimentation, hypothesis testing on the facts of statistical samples, refining the neural network algorithm for predicting: lotto, weather, risk and money.
2014 was a shocking event, but effective for the team. With each new experiment, the reliability of the algorithm's prediction performance for neural networks increased.
In 2018 we got a full-fledged AI / artificial intelligence prototype that independently makes a decision and chooses the optimal prediction strategy.
2019 allowed us to use temporal markers to evaluate the profitability of the forecast.
In 2020, we entered with a 30x increase in AI algorithm performance, with negligible bruteforcing to compute HGF behavior.
In 2023-2024, we created a full human-like AI with long-term memory (LMM AI) that can solve risk prediction problems with 87.5% confidence and a 1.2%-0.1% bruteforce.
In 2025, a model with long-term memory like a human can assess risks in the promotion of websites, advertising companies, insurance risks, make scientific discoveries 555 faster using AI with long-term memory LMM AI.
Taking into account the fashion for LLM linguistic AI models (abstract brain hemisphere), bringing to the market a model with long-term memory (logical brain hemisphere) will make it possible to create a full-fledged electronic brain.
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