According to @gdb, OpenAI hosted an AI Jam mentoring 1,000 small business owners to build tailored AI tools across professional services, restaurants and food trucks, retail, creative services, repair and cleaning, and hair salons/barbershops; source: twitter.com/gdb/status/1992013098161766720. The announcement focuses on practical SMB AI deployment and does not mention crypto, blockchain, tokens, or Web3, so no direct crypto-market linkage is cited in the release; source: openai.com and twitter.com/gdb/status/1992013098161766720.

According to @gdb, AI development is showing smooth exponential progress, stated in an X post on Nov 21, 2025 that links to @daniel_271828’s post; source: X post by @gdb, Nov 21, 2025. The post provides no product details, performance benchmarks, timelines, or references to cryptocurrencies or AI-linked tokens; source: X post by @gdb, Nov 21, 2025. For trading purposes, this is a high-level sentiment note without quantifiable catalysts or disclosed metrics for equity or crypto valuation models; source: X post by @gdb, Nov 21, 2025.

According to @gdb, GPT-5 is accelerating science and can help human mathematicians settle previously unsolved problems, as stated in his X post with an accompanying image; source: @gdb. The post provides no technical details, release timeline, or peer-reviewed validation, so no direct trading catalysts or specific crypto market implications can be derived from the source alone; source: @gdb. No cryptocurrencies, tokens, or tickers are mentioned in the post; source: @gdb.

According to @gdb, he posted "AI bringing people together" with a media attachment on X on Nov 19, 2025, and the post included no product announcement, pricing, roadmap, or partnership details, indicating a sentiment-led headline rather than a fundamental catalyst, source: @gdb on X, Nov 19, 2025. For trading, monitor social engagement around the post because academic research finds social mood and attention can correlate with short-horizon returns and trading volume in attention-sensitive assets such as technology equities and digital assets, source: Bollen, Mao, and Zeng 2011; Da, Engelberg, and Gao 2011. No cryptocurrencies such as BTC or ETH were mentioned in the post, so any impact on crypto AI tokens would derive from broader AI sentiment rather than direct token-specific news, source: @gdb on X, Nov 19, 2025.

According to @gdb, AI is the refining of compute into brainpower, but the post contains no data, metrics, product details, or timelines that would inform trading decisions (source: @gdb on X, Nov 15, 2025). For crypto and equity traders focused on AI infrastructure, the statement offers no direct signal on chip demand, model releases, or token economics, so no actionable price catalysts can be derived from this source alone (source: @gdb on X, Nov 15, 2025).

According to @gdb, he is “very excited for GPT-5.1” and linked to an OpenAI post on X; his post did not include technical details, timelines, or release notes, so for trading purposes this currently functions as a headline-only signal rather than a confirmed product release. Source: Greg Brockman (@gdb) on X, Nov 12, 2025; Source: OpenAI post on X, status 1988714373058351213.

According to @gdb, OpenAI hired @sk7037 to design and build compute infrastructure to power AGI research and scale applications; source: @gdb on X, Nov 10, 2025. The post discloses no timelines, budgets, hardware vendors, deployment targets, or product details; source: @gdb on X, Nov 10, 2025. The announcement includes no mention of cryptocurrencies or tokens, indicating no direct on-chain impact disclosed in this update; source: @gdb on X, Nov 10, 2025. The post was also amplified via retweet by @sama, signaling executive-level visibility; source: @sama on X, Nov 10, 2025.

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 @gdb, any task that frontier AI can sort of do today will likely be done reliably one year from now, providing a heuristic to predict AI progress (source: Greg Brockman (@gdb) on X, Nov 6, 2025). This defines a one-year reliability horizon for emerging AI capabilities that traders can use as a timing baseline for productization and risk assumptions, as stated in the original heuristic (source: Greg Brockman (@gdb) on X, Nov 6, 2025). The statement does not reference specific assets or markets and should be treated as a general capability-timeline guideline rather than a market forecast (source: Greg Brockman (@gdb) on X, Nov 6, 2025).

According to @gdb, a strategic partnership with AWS has been announced to scale the compute required for AI, with the news posted on Nov 3, 2025 on X and linking to Andy Jassy’s post at x.com/ajassy/status/1985351258333643172 (source: @gdb on X; source: @ajassy on X). The posts state the partnership’s goal is to expand access to AI compute, while providing no hardware specifics, timeline, or financial terms, limiting the immediate trading takeaway to confirmation of the collaboration only (source: @gdb on X; source: @ajassy on X). The announcement does not reference blockchain or cryptocurrency integrations, indicating no direct crypto market linkage from the disclosed information (source: @gdb on X; source: @ajassy on X).

According to @gdb, an AI compute partnership with Amazon Web Services has been announced to help advance AI that benefits everyone, establishing a confirmed headline for event-driven trading desks to track, source: @gdb on X. The announcement is corroborated by a linked post from Amazon CEO Andy Jassy, indicating AWS leadership acknowledgment of the partnership, source: @gdb on X and @ajassy on X. No financial terms, service scope, deployment timelines, or product details are disclosed in the posts, limiting immediate valuation modeling to headline impact only, source: @gdb on X and @ajassy on X. No cryptocurrencies or blockchain integrations are mentioned in the announcements, indicating the news is currently confined to AI compute collaboration, source: @gdb on X and @ajassy on X.

According to @gdb, Codex code review caught two real bugs that would have been easy for human reviewers to miss, highlighting effective AI-assisted checks on pull requests. Source: @gdb on X, Nov 3, 2025. The post describes Codex as a strong safety net watching over every PR but provides no quantitative performance metrics, rollout details, or enterprise availability information. Source: @gdb on X, Nov 3, 2025. No cryptocurrencies, tokens, or on-chain integrations are mentioned, and the post offers no direct trading signal or measurable KPIs for modeling AI-exposed equities or AI-linked crypto assets. Source: @gdb on X, Nov 3, 2025.

According to Greg Brockman, an investigation into reported OpenAI Codex degradations was highlighted as an excellent and super interesting read, signaling attention on potential model performance issues relevant to AI-focused traders. Source: https://twitter.com/gdb/status/1984707276461261226 The post links directly to an X thread by @thsottiaux that investigates the reported Codex degradations and serves as the primary material for further due diligence. Source: https://x.com/thsottiaux/status/1984465716888944712 The tweet is dated November 1, 2025, and does not include quantitative benchmarks or an official OpenAI statement, limiting immediate trading inferences to the linked investigation itself. Source: https://twitter.com/gdb/status/1984707276461261226 OpenAI Codex is a code generation model publicly introduced in 2021, providing context for why any verified performance changes may be market-relevant. Source: https://openai.com/blog/openai-codex

According to @gdb, credit-based pricing is now live in Codex. Source: Greg Brockman on X https://twitter.com/gdb/status/1984440078010368238. The post links to an OpenAIDevs announcement as the primary reference. Source: OpenAIDevs on X https://x.com/OpenAIDevs/status/1983956896852988014. No pricing tiers, quotas, or usage details are provided in the cited post. Source: Greg Brockman on X https://twitter.com/gdb/status/1984440078010368238. The post does not mention cryptocurrencies, tokens, or blockchain integrations, so no direct crypto market impact is stated in the source. Source: Greg Brockman on X https://twitter.com/gdb/status/1984440078010368238. Traders monitoring AI-linked tokens and AI-exposed equities should await official documentation before positioning on potential monetization effects. Source: Greg Brockman on X https://twitter.com/gdb/status/1984440078010368238.

According to @gdb, Greg Brockman posted on Oct 31, 2025 that users should try agent mode in ChatGPT Atlas and linked to an official OpenAI post, source: Greg Brockman on X; OpenAI on X. The post is a clear, time-stamped headline that traders can log for news-driven strategies tracking AI-related crypto narratives, source: Greg Brockman on X. No feature details, pricing, or crypto tickers were included in the post, so any follow-up should be referenced from the linked OpenAI thread, source: Greg Brockman on X; OpenAI on X.

According to @gdb, an X post on Oct 24, 2025 highlights a "Codex for empowering everyone to ship" and links to a related post by @bengoodger (source: @gdb on X, Oct 24, 2025). The post provides no technical details, product scope, release timeline, or integration information (source: @gdb on X, Oct 24, 2025). There is no mention of cryptocurrencies, blockchain features, or token integrations, indicating no immediate, verifiable catalyst for crypto assets based solely on this post (source: @gdb on X, Oct 24, 2025). Traders should monitor follow-up disclosures from @gdb and @bengoodger on X for concrete specifications before positioning, as this post alone does not establish tradeable signals or measurable KPIs (source: @gdb on X, Oct 24, 2025).

According to @gdb, the OpenAI Codex IDE extension is growing incredibly quickly, with a guide on maximizing usage shared via an OpenAIDevs post on X. Source: @gdb on X (Oct 17, 2025); Source: OpenAIDevs post linked by @gdb. Traders can monitor subsequent official posts from @gdb or OpenAIDevs for any disclosed adoption metrics before adjusting exposure to AI-related equities and crypto sectors. Source: @gdb on X (Oct 17, 2025).

According to @gdb, he met Sen. Cynthia Lummis and expressed appreciation for her support for innovating on AI in America. Source: @gdb on X, Oct 16, 2025. The post links to an update from @SenLummis, confirming direct engagement between a leading AI executive and a sitting U.S. Senator. Source: @gdb on X, Oct 16, 2025. The post contains no mention of cryptocurrency, specific legislation, or timelines, indicating no immediate, identifiable trading catalyst for digital assets from this post alone. Source: @gdb on X, Oct 16, 2025. Sen. Cynthia Lummis has been a key participant in federal digital asset discussions, including co-sponsorship of the bipartisan Lummis-Gillibrand Responsible Financial Innovation Act first introduced in 2022 and updated in 2023, making this AI-policy engagement relevant background for traders monitoring U.S. crypto regulation narratives. Source: U.S. Senate public records and official press materials on the Lummis-Gillibrand Responsible Financial Innovation Act (2022–2023).

According to @gdb, a post titled how to get the most out of codex cli was shared on Oct 15, 2025, directing followers to x.com/embirico/status/1978519135484101028 [source: https://twitter.com/gdb/status/1978572465073799663]. The tweet provides no additional details on Codex CLI features, performance, release timing, pricing, or integrations beyond the external link [source: https://twitter.com/gdb/status/1978572465073799663]. The post also includes no references to cryptocurrencies, tokens, or market impacts, serving solely as a public mention of Codex CLI by a prominent AI figure [source: https://twitter.com/gdb/status/1978572465073799663].

According to @gdb, Jensen Huang hand-delivered an NVIDIA DGX Spark unit, and @gdb states the system offers about 1 petaflop of compute in a tiny form factor. Source: @gdb on X https://twitter.com/gdb/status/1978263779252007007 The post does not provide pricing, availability, configuration, or any crypto- or market-related details. Source: @gdb on X https://twitter.com/gdb/status/1978263779252007007