According to @gdb, any task that frontier AI can partially accomplish today will likely be performed reliably within one year, setting a concrete 12-month capability timeline for planning and execution. Source: Greg Brockman, Twitter, Nov 6, 2025, https://twitter.com/gdb/status/1986269247920631883. For trading, this one-year horizon offers a clear schedule to track AI catalysts, helping market participants align entries, exits, and risk with reliability milestones instead of open-ended narratives. Source: Greg Brockman, Twitter, Nov 6, 2025, https://twitter.com/gdb/status/1986269247920631883. Crypto market impact: AI-linked cryptocurrencies and infrastructure plays can be monitored against the next 12 months in domains where models already show partial capability, using this timeline to structure watchlists and validate progress via real product releases. Source: Greg Brockman, Twitter, Nov 6, 2025, https://twitter.com/gdb/status/1986269247920631883. This statement is a forward-looking view and not a guarantee; traders should anchor decisions to observed reliability gains and measurable outputs over the stated period. Source: Greg Brockman, Twitter, Nov 6, 2025, https://twitter.com/gdb/status/1986269247920631883.

According to @AnthropicAI, Anthropic has endorsed California State Senator Scott Wiener’s SB 53, describing it as a transparency-based framework to govern powerful frontier AI systems rather than technical micromanagement. Source: Anthropic (X, Sep 8, 2025). For trading desks tracking AI policy risk and AI-related themes, the announcement is a primary-source regulatory headline from a frontier AI developer; the post does not reference cryptocurrencies, tokens, or direct market impacts, and includes no implementation timelines or compliance details. Source: Anthropic (X, Sep 8, 2025).

According to Demis Hassabis (@demishassabis), DeepMind is postponing the widespread release of its 2.5 Pro Deep Think AI model to conduct further safety evaluations and gather expert input (source: Twitter, May 22, 2025; DeepMind blog). This delay in frontier AI deployment may temporarily slow down AI-driven crypto trading innovations and market automation, impacting projects and tokens linked to AI advancements. Traders should monitor developments as final AI safety clearances could trigger renewed interest and volatility in AI-related cryptocurrencies.