On Wednesday, Solana introduced Solana Bench, for testing AI’s ability to generate Solana transactions. The verdict: it’s pretty good for things like core Solana transactions & Jupiter swaps. So we decided to show you how you can make it effortless for LLMs like Claude Code to

The development of AI technologies is currently experiencing rapid growth and dynamic development.

Here are the key points and directions: Overall Situation Globally: — Active Development: AI has penetrated many areas, from medicine and finance to transportation and entertainment.

Investments in AI are growing, and more and more companies are implementing AI solutions to improve efficiency, automate processes, and create new products.

Competition: The leaders in the field of AI are the United States and China, but other countries, such as Canada, the United Kingdom, Israel, and India, are also actively developing their AI ecosystems.

RIssues of ethics, security, and data privacy are becoming increasingly important. Many countries are developing regulations and standards to govern the use of AI.

Accessibility: Cloud platforms and machine learning tools have made AI more accessible to developers and companies of all sizes.

Areas of Particular Focus: Generative AI: This is one of the hottest areas, which includes creating new images, texts, music, and other types of content using AI. Examples: image-generating models (DALL-E, Midjourney, Stable Diffusion), text models, and music creation tools.

Large Language Models (LLM): These models, trained on vast amounts of text data, can generate text, translate languages, answer questions, and perform other tasks. They are used in chatbots, virtual assistants, automatic translation systems, etc.

Automated Machine Learning (AutoML): AutoML tools automate the process of creating and deploying machine learning models, making AI more accessible to non-specialists.

Computer Vision: This field focuses on developing systems that can "see" and "understand" images and videos. Applications include facial recognition, object detection, autonomous driving, and medical image analysis.

Natural Language Processing (NLP): NLP allows computers to understand and process human language. Applications include chatbots, text sentiment analysis, automatic translation, and speech recognition systems.

Robotics: AI is used to create smarter and more autonomous robots that can perform complex tasks in various fields, from manufacturing to healthcare. Personalization: AI is used to create personalized recommendations, advertising, and content for users.

Regarding Cryptocurrency: — Market Analysis: AI is used to analyze large volumes of data on transactions, prices, and social media sentiment to predict changes in the cryptocurrency market.

Trading: AI algorithms are used for automated cryptocurrency trading based on specified parameters and strategies. Mining Optimization: AI can be used to optimize cryptocurrency mining processes, improve efficiency, and reduce costs.

Security Enhancement: AI can help detect and prevent cyberattacks on cryptocurrency exchanges and wallets. Creation of New Crypto and DeFi Products: AI is used to develop new consensus algorithms, DeFi protocols, and other innovative solutions in the cryptocurrency space.

Overall, AI has a huge impact on the cryptocurrency sphere, providing new opportunities for analysis, trading, security, and innovation. However, it is important to remember that the cryptocurrency market is very volatile, and using AI for trading or investing involves risks.

#BTC The asset continues to move sideways. It's the weekend, so understandably there are no movements. BTC is steadily declining, but the movement is extremely weak. I still see a correction as the main scenario, starting with the work week (after the launch of spot ETFs).

We have entered the Ichimoku cloud, and uncertainty has increased significantly. I recommend you rest and recharge before the new week. Futures are currently extremely dangerous, and it's better to wait for the start of the new week and see BTC's predisposition to any movement.

I think we won't see anything good in the market until the end of September, and a correction of 10%+ across the entire market is quite likely (I would really like to be wrong).