According to @gdb, OpenAI and Foxconn have announced a collaboration. Source: @gdb on X, post dated Nov 22, 2025. The official announcement is hosted on OpenAI’s website at openai.com/index/openai-and-foxconn-collaborate, confirming the partnership. Source: OpenAI official site via the link shared by @gdb. The verified announcement timestamp (Nov 22, 2025) provides a clear catalyst date for tracking subsequent price action in AI-related equities and AI-linked crypto tokens. Source: @gdb on X (timestamp) and OpenAI official site.

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, Codex training now includes Windows and “should be much improved there,” source: @gdb on X, Nov 20, 2025. The source specifies an update focused on Windows training and does not mention cryptocurrencies, blockchains, token integrations, product releases, or pricing, source: @gdb on X, Nov 20, 2025. For traders, the immediate market impact is limited to sentiment around AI coding tools on Windows rather than direct crypto catalysts, as no crypto assets are referenced in the source, source: @gdb on X, Nov 20, 2025.

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, inference is the most valuable emerging software category and compute will increasingly be spent drawing samples from models, signaling a shift of compute budgets toward LLM inference workloads; source: @gdb on X, Nov 17, 2025. According to @gdb, OpenAI is inviting candidates to email gdb@openai.com for its inference team and to detail exceptional team accomplishments plus domain expertise in inference or large-scale system optimization; source: @gdb on X, Nov 17, 2025. According to @gdb, priority optimization areas include deeply understanding and optimizing the model forward pass, system-level efficiencies such as speculative decoding, KV offloading, and workload-aware load balancing, and managing and making observable a massive fleet at scale; source: @gdb on X, Nov 17, 2025. According to @gdb, this explicit emphasis on inference scaling provides a concrete data point for traders tracking AI infrastructure demand and its implications for serving efficiency and throughput in LLM inference; source: @gdb on X, Nov 17, 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, OpenAI and Microsoft co-designed AI infrastructure featuring clusters scaled to hundreds of thousands of GPUs with massive bandwidth between clusters (Source: @gdb on X, Nov 15, 2025). He states that compute directly determines model capability and whether the team can scale to meet oversubscribed demand (Source: @gdb on X, Nov 15, 2025). He describes the system as an AI superfactory ready to be put to use (Source: @gdb on X, Nov 15, 2025). The post names Microsoft as co-designer, a material detail for equity traders monitoring MSFT’s AI infrastructure involvement, while providing no vendor, cost, or deployment timeline specifics (Source: @gdb on X, Nov 15, 2025). The post links to Satya Nadella’s thread but does not reference cryptocurrencies or blockchain, so no direct on-chain impact is specified (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 announced 12 months of free ChatGPT Plus for eligible active duty servicemembers and veterans who transitioned from service in the last 12 months. Source: https://twitter.com/gdb/status/1988306228146053412 and https://chatgpt.com/veterans-claim The official post provides a claim link and eligibility parameters but does not mention cryptocurrencies, tokens, or blockchain, indicating no direct crypto-specific catalyst in this notice. Source: https://twitter.com/gdb/status/1988306228146053412 and https://chatgpt.com/veterans-claim The announcement contains no disclosures on subscriber counts, pricing changes for the general public, or revenue impacts, offering no market guidance for AI or crypto assets in the statement itself. Source: https://twitter.com/gdb/status/1988306228146053412

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, GPT-5 Pro produced a drug-repurposing hypothesis for an otherwise untreatable food allergy in about 12 minutes, and he said the same result matched an at-the-time unpublished peer-reviewed study; he added that the models are still improving, source: Greg Brockman on X, Nov 2, 2025. For traders, high-profile capability claims from OpenAI leadership tend to refocus attention on AI-driven discovery and decentralized compute narratives, with common AI-linked crypto sector proxies including GPU rendering (RNDR) and decentralized compute (AKT), source: Binance Research, 2024 sector classification for AI and compute tokens. Because Brockman explicitly noted the corroborating study was unpublished at the time of his post, the medical claim should be treated as unverified for risk management until a public paper is available, source: Greg Brockman on X, Nov 2, 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.