According to @GoogleDeepMind, the Gemini 2.5 Computer Use model can navigate web browsers like a human, enabling agents to click, scroll, and type online; source: @GoogleDeepMind on X, Oct 7, 2025. According to @GoogleDeepMind, the model builds on Gemini’s visual understanding and reasoning and sets a new standard on multiple benchmarks with faster speed; source: @GoogleDeepMind on X, Oct 7, 2025. According to @GoogleDeepMind, the post does not provide details on release timing, access, pricing, or any integration with crypto exchanges or trading tools; source: @GoogleDeepMind on X, Oct 7, 2025. According to @GoogleDeepMind, no direct references to cryptocurrency markets or trading functionality were included, so any specific crypto market impact is unconfirmed based on the information shared; source: @GoogleDeepMind on X, Oct 7, 2025.

According to DeepSeek (@deepseek_ai), the launch of DeepSeek-R1-0528 introduces improved benchmark performance, enhanced front-end capabilities, reduced hallucinations, and support for JSON output and function calling. These advancements are expected to enable more reliable and efficient AI-driven crypto trading bots and analytics platforms, as the update offers faster, more accurate data parsing and integration without changes to API usage (source: @deepseek_ai, May 29, 2025). Crypto traders and developers can leverage these improvements to enhance automated strategies, sentiment analysis, and real-time signal generation, directly impacting trading precision and market responsiveness.

According to @Kalshi, prediction markets now indicate a 74% probability of Grok being the top AI globally this month. This marks a 50 percentage point increase following the launch of Grok-3, which has shown superior performance in benchmark tests. This significant shift in odds suggests increased market confidence in Grok-3's capabilities, potentially influencing AI investment strategies and market positions.

According to Google DeepMind, the 2.0 Flash model has been optimized for high-volume, high-frequency tasks, positioning it as a highly efficient tool for developers in trading environments. The latest version demonstrates improved performance in key benchmarks, making it advantageous for algorithmic trading strategies.