According to @gdb, “Your Year in ChatGPT” is a demo ChatGPT app and developers can build similar experiences using the Apps SDK, highlighting a clear path to custom AI app creation (source: X post by @gdb, https://twitter.com/gdb/status/2003901353119350856). Romain Huet added that it shipped as a full-screen experience built with the new Apps SDK, underscoring production-grade UI capabilities for developers (source: X post by @romainhuet, https://x.com/romainhuet/status/2003888610316046753). The posts do not mention blockchain, tokens, or crypto integrations, indicating no direct trading catalyst for BTC, ETH, or AI-linked tokens from this announcement alone (source: X posts by @gdb and @romainhuet cited above). For short-term positioning, traders should treat this as developer tooling news and await any official integrations that could tie AI apps to on-chain activity before taking crypto-exposed bets (source: X posts by @gdb and @romainhuet cited above).

According to @DeepLearningAI, GenAI with Streamlit enables developers to start from intent and generate working app code in seconds, replacing hours of setup previously required for data or AI prototypes; source: https://twitter.com/DeepLearningAI/status/1963954016100004104. According to @DeepLearningAI, the post promotes the course Fast Prototyping of GenAI Apps with Streamlit aimed at helping learners prototype faster, test more ideas, and move from concept to app; source: https://www.deeplearning.ai/courses/fast-prototyping-of-genai-apps-with-streamlit and https://twitter.com/DeepLearningAI/status/1963954016100004104. According to @DeepLearningAI, the announcement explicitly tags Snowflake and thedataprof, highlighting relevance to data-centric development audiences; source: https://twitter.com/DeepLearningAI/status/1963954016100004104. According to @DeepLearningAI, no specific cryptocurrencies, tickers, or market metrics are cited in the announcement, so any trading impact would stem from faster in-house tool development rather than direct asset news; source: https://twitter.com/DeepLearningAI/status/1963954016100004104 and https://www.deeplearning.ai/courses/fast-prototyping-of-genai-apps-with-streamlit.