There are also other methods used in the AI Seed Phrase Finder program to generate seed phrases associated with Bitcoin wallets containing a positive balance. These methods are combined and complement the main models to achieve the best result. For example, the AI Seed Phrase Finder program can use a generator to create new seed phrases. Then, the generated database is loaded into a neural network. Using machine learning, the program evaluates the results and selects the best phrases. As a result, the trained model becomes capable of predicting suitable combinations to regain access to Bitcoin wallets.
During the program’s operation, these methods intersect with each other to achieve the desired result:
- Using neural networks. Mostly this model is applied in machine learning algorithms. For example, neural networks help create a model that evaluates the probability of a combination being a “correct” seed phrase, giving access to a cryptocurrency wallet balance. Usually, significant amounts of information are used for AI training. The system, considering the given parameters, independently finds complex patterns and dependencies. Then they are used to select the correct word sequences.
- Optimization algorithms. These include the previously described genetic algorithm. There are also optimization options using gradient descent, evolutionary strategies. All the algorithms involved work towards one goal – searching for optimal combinations of words in seed phrases.
- Natural Language Processing. The system analyzes natural speech forms, dictionaries, and sources. This helps process text information from which seed phrases will be generated. The program uses a methodology to create a model that can subsequently assess the probabilities of “success” for each combination (for example, whether it can be a key to access a cryptocurrency wallet balance).
- Deep Learning. The methodology uses neural networks to create a comprehensive system. The ready-made model is capable of analyzing and understanding the structure and semantics of seed phrases. It differs from ordinary neural network-based learning in a deeper approach. The system helps find valid seed phrases. Thanks to deep learning, the program can automatically identify matching features from the database and generate ready-made result forecasts.
- Evolutionary strategies are considered one of the methods of optimization, which uses the process of natural selection. It is a part of genetic programming, implying the search for necessary seed phrases by improving the gene pool of the population using genetic operators. Evolutionary strategies help efficiently explore the space of possible seed phrases and find the best combinations of words.
- Analysis of dictionaries and texts is well combined with natural language processing. A significant amount of textual information is loaded into the model: books, articles, internet pages. Artificial intelligence processes popular words and their sequences, from which seed phrases, which the user used independently when creating their bitcoin wallet, can be composed with a high probability (for example, a seed phrase consisting of the names of biblical apostles: “peter andrew james john philip bartholomew thomas matthew alphaeuthaddaeus simon judas” or a seed phrase consisting of the names of planets in the solar system: “mercury venus earth mars jupiter saturn uranus neptune”).
- Semantic analysis: AI uses natural language processing methods to determine the semantic relationship between words and create models that evaluate the likelihood of certain combinations of words being a seed phrase, as in the previous example.
- Social analysis: AI uploads and checks data from social networks, forums, or other online platforms to identify popular topics, interests, or user preferences. As with other variations, a ready-made database is used for further machine learning and selecting promising word combinations for seed phrase generation.
- Cluster analysis: The system divides information into cohesive clusters. Why is it necessary to divide phrases into similarity groups? This helps to identify patterns and the most frequently occurring word combinations in already known valid seed phrases.
- Analyzing old wallets with zero balances. The program reads information from the database. Analyzing known Bitcoin wallets with publicly available data. This helps to identify patterns in mnemonic phrases that can be used to search for “seed phrases” for previously unknown wallets with positive balances.
- Using dictionaries and databases. Another element of natural language processing. Dictionaries and databases containing known seed phrases and their associated sequences are loaded into the program. For example, the system can check generated combinations for compliance with known patterns or use samples to search for similar values.
- Pattern analysis. AI analyzes ready-made patterns and regularities in loaded databases. The program can search for recurring combinations of words that are often found in previously known wallets with balances.
- Using parallel computing. The methodology has already been described above and involves dividing the process into several parts. Calculation with simultaneous loading is carried out by a multitude of modern “ASICs” and cloud servers with GPUs.
- Caching results: AI Seed Phrase Finder may use caching of previous computation results to speed up subsequent requests. For example, if the program has previously checked a seed phrase and found that the wallet it unlocks does not have a positive balance, the result of this check is saved in the cache. When the same seed phrase is queried again, the program can immediately return the saved result, bypassing the need for another check. (Caching is reset after program restarts, as there may have been changes in the wallet balance during that time).
- Optimization of execution time. The system reduces the time required to implement all algorithms. This makes it easier to search for seed phrases, as the calculation is faster. For example, the program can use efficient data structures or complexity reduction algorithms to speed up the process.
- Adaptive parameter tuning: The program uses adaptive tuning of algorithm parameters during execution. For example, it can dynamically adjust the parameters of algorithms depending on the characteristics of input data or the current system state. This allows optimizing the performance and efficiency of the program in real-time, which is crucial for the user.
These methods and AI algorithms are constantly being combined, which is why the AI Seed Phrase Finder program is unique in that it is able to work with ready-made models that are flexible and allow for the expected user result to be achieved in the shortest possible time.
In the end, the described program is a powerful tool that combines AI algorithms and methods with the support of cloud servers with GPUs to achieve maximum speed in generating valid mnemonic phrases that grant access to Bitcoin wallets.
