According to @TO, Sora 2 enables creators to make a reusable character that anyone can use in AI videos by tagging the creator, signaling frictionless character sharing across projects, source: https://twitter.com/TO/status/1973813849028718638. The post highlights imminent intellectual property considerations and training needs (IP School), pointing to licensing and attribution mechanics around AI-generated characters as key issues, source: https://twitter.com/TO/status/1973813849028718638. For traders, the post flags AI video character sharing as a near-term theme to monitor within AI-linked crypto narratives and creator-economy assets as social attention builds, source: https://twitter.com/TO/status/1973813849028718638.

According to @karpathy, earlier predictions that computer vision would quickly eliminate radiology jobs have not materialized, with the field growing rather than shrinking. Source: @karpathy on X, Sep 25, 2025. According to @karpathy, the reasons include narrow benchmarks that miss real-world complexity, the multifaceted scope of radiology beyond image recognition, deployment frictions across regulation, insurance and liability, and institutional inertia. Source: @karpathy on X, Sep 25, 2025. According to @karpathy, Jevons paradox applies as AI tools speed up radiologists, increasing total demand for reads rather than reducing it. Source: @karpathy on X, Sep 25, 2025. According to @karpathy, AI is likely to be adopted first as a tool that shifts work toward monitoring and supervision, while jobs composed of short, rote, independent, closed, and forgiving tasks are more likely to change sooner. Source: @karpathy on X, Sep 25, 2025. For traders, this framing highlights gradual AI integration and expanding workloads in regulated, high-risk domains, a narrative relevant to AI-linked equities and AI-themed crypto projects tied to compute utilization. Source: @karpathy on X, Sep 25, 2025. Full post reference is the Works in Progress article shared by @karpathy. Source: @karpathy on X, Sep 25, 2025.

According to Greg Brockman, OpenAI has released a large-scale study on how people are using ChatGPT, with the report available on OpenAI’s site. source: Greg Brockman on X (Sep 22, 2025); OpenAI — How people are using ChatGPT Consumer adoption has broadened beyond early-user groups, signaling wider mainstream penetration. source: Greg Brockman on X (Sep 22, 2025) He adds that significant economic value is being created through both personal and professional use. source: Greg Brockman on X (Sep 22, 2025) The announcement does not mention cryptocurrencies or tokens, indicating no direct on-chain or token-specific catalyst from this release. source: Greg Brockman on X (Sep 22, 2025) For trading, desks focused on AI exposure may monitor potential second-order sentiment in AI-related equities and indices, particularly companies with disclosed OpenAI ties and AI infrastructure demand such as Microsoft and Nvidia. source: OpenAI–Microsoft extended partnership announcement (Jan 23, 2023); NVIDIA Q2 FY2025 results press release highlighting generative AI-driven Data Center demand (Aug 28, 2024)

According to @sama, GPT-5-Codex is a version of GPT-5 optimized for agentic coding that is faster, smarter, and introduces new capabilities, announced on Sep 15, 2025 on X. Source: Sam Altman on X, Sep 15, 2025. The post provided no benchmarks, release documentation, availability timelines, pricing, or any mention of cryptocurrencies or tokens, offering no immediate, quantifiable trading signal for crypto markets from this announcement alone. Source: Sam Altman on X, Sep 15, 2025.

According to @DeepLearningAI, Andrew Ng’s latest The Batch highlights Coursera’s shift toward skills-based education and new AI-driven tools (source: @DeepLearningAI, Sep 12, 2025). It also reports that Meta and OpenAI tightened child safety in chatbots (source: @DeepLearningAI, Sep 12, 2025). The issue discusses arguments for Google to share its search index with AI rivals (source: @DeepLearningAI, Sep 12, 2025). It notes a private school system adopting two hours of AI-assisted education daily (source: @DeepLearningAI, Sep 12, 2025). It profiles ATLAS, a memory-based long-context LLM (source: @DeepLearningAI, Sep 12, 2025). For traders, these themes align with watchlists across edtech adoption, AI safety and compliance, search ecosystem access, and long-context model infrastructure, with narrative spillovers monitored by AI-linked crypto sectors (source: @DeepLearningAI, Sep 12, 2025).

According to @bobbyong, CoinGecko has added a new Robotics category after a community request from @sjdedic, and the page is now live with relevant tokens for sector tracking. Source: Bobby Ong on X. The Robotics category page on CoinGecko provides a consolidated view for traders at coingecko.com/en/categories/robotics, enabling quick discovery of constituent tokens within the theme. Source: CoinGecko Robotics category page. The page aggregates sector-level metrics such as market capitalization, 24h trading volume, and price performance, helping traders monitor momentum, liquidity, and breadth during narrative rotations. Source: CoinGecko Robotics category page. Ong added that the team is early to new metas and will observe whether the robotics theme sustains or proves a short-term fad, signaling a watch-and-verify approach for traders. Source: Bobby Ong on X.

According to @provenauthority, collaborative and composable development is driving AI forward, with praise for MoonSong Labs' continued shipping in an X post that includes a link for more context (source: @provenauthority on X, 2025-09-04). The post provides no token, ticker, funding, roadmap, or partnership details, offering no direct crypto or equity trading catalyst at this time (source: @provenauthority on X, 2025-09-04). For traders tracking AI-related narratives, the post signals positive developer sentiment toward MoonSong Labs based on its language (source: @provenauthority on X, 2025-09-04).

According to @gdb, the Codex VSCode plugin is already very good and will improve fast, source: @gdb via X on Aug 29, 2025. For traders, this public endorsement is a concrete datapoint to gauge sentiment around rapid iteration in AI coding assistants and developer tools across equities and AI-narrative crypto sectors, source: @gdb via X on Aug 29, 2025.

According to @GoogleDeepMind, 2.5 Flash can transfer a specific artistic style, design, or texture from one image to another while preserving the subject's form and details, as shown in the posted demo clip, source: Google DeepMind on X, Aug 26, 2025. According to @GoogleDeepMind, the post labels this capability as a design application and does not include release timing, access method, pricing, API availability, or product-integration specifics, source: Google DeepMind on X, Aug 26, 2025. According to @GoogleDeepMind, the announcement contains no mention of blockchain, cryptocurrencies, or on-chain integrations, so no direct token-specific catalyst is identified in the text, source: Google DeepMind on X, Aug 26, 2025.

According to Greg Brockman, AI progress will soon deeply benefit the world via the discovery and production of new technology, emphasizing faster technological revolutions as the driver, source: Greg Brockman on X, Aug 17, 2025. The post includes no specific products, timelines, companies, or any mention of cryptocurrencies or blockchains, indicating no direct, immediate catalyst for BTC, ETH, or AI-linked tokens from this statement alone, source: Greg Brockman on X, Aug 17, 2025. Given the absence of actionable detail, traders can view this as a positive sentiment headline for AI-exposed equities and the AI narrative in crypto rather than a concrete trade signal until follow-up specifics appear, source: Greg Brockman on X, Aug 17, 2025.

According to @gdb, he posted a brief update on X linking to 'gpt-5 for immunology' on August 13, 2025, without additional context beyond the link. Source: @gdb on X. The post provides no technical details, benchmarks, or release timeline, leaving the scope of any GPT-5 immunology capabilities unspecified at this time. Source: @gdb on X. For traders, this headline introduces potential event risk for the AI narrative within crypto markets until official documentation or demos clarify functionality and timing. Source: @gdb on X.

According to Crypto Rover (@rovercrc), the key crypto trading narratives for 2025 are artificial intelligence (AI), real-world assets (RWA), and stablecoins, as highlighted in his June 5, 2025 post. Traders should focus on projects integrating AI technology for decentralized finance automation, tokenization platforms bridging real-world assets like real estate and commodities, and stablecoin ecosystems expanding liquidity and cross-border settlements. These themes are confirmed to attract significant trading volume and institutional interest, positioning them as essential sectors for crypto market participants this year (Source: Twitter, Crypto Rover, 2025-06-05).

According to @AltcoinGordon, $BOTIFY is actively developing AI agents capable of automating social media management, meme mining, trend tracking, posting, and analytics, with the chart recently showing a sharp upward movement (Source: @AltcoinGordon, May 30, 2025). For crypto traders, the rapid adoption of $BOTIFY's AI-driven solutions signals strong potential for near-term price volatility and ongoing relevance in AI infrastructure tokens. Monitoring $BOTIFY's on-chain activity and trading volume is recommended to capitalize on trending AI crypto narratives.