List of Flash News about AI trading sentiment
| Time | Details |
|---|---|
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2025-10-30 16:39 |
DeepLearning.AI Pro Launch: Andrew Ng Unveils 150+ AI Courses and Certificates — No Direct Crypto Token Tie-In
According to @DeepLearningAI, DeepLearning.AI Pro is now live as a single membership that provides full access to 150+ AI courses, hands-on labs, and certificates taught by leaders including Andrew Ng, Sharon Zhou, and Laurence Moroney (source: @DeepLearningAI on X, Oct 30, 2025). The announcement highlights Andrew Ng’s message that the distance from idea to product has never been smaller and offers official links for a free trial and further details (source: @DeepLearningAI on X, Oct 30, 2025). The post does not mention cryptocurrencies, tokens, or blockchain integrations, indicating no direct on-chain or token-related catalyst associated with this launch for crypto markets (source: @DeepLearningAI on X, Oct 30, 2025). |
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2025-10-15 23:28 |
Perplexity AI Reportedly Hits 50 Million MAUs in September, Up 35% MoM: Trading Takeaways
According to @StockMKTNewz, Perplexity reportedly reached 50 million monthly active users in September, a 35% increase from August, indicating rapid AI search adoption. Source: @StockMKTNewz on X, Oct 15, 2025. For trading, treat this as a single data point on AI user growth; the source provided no revenue, monetization, or direct crypto linkage, and did not mention specific equities or tokens. Source: @StockMKTNewz on X, Oct 15, 2025. |
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2025-10-12 20:05 |
Bloomberg Calls for Workplace AI Breakthroughs in 2025 - What Traders Should Know About Enterprise AI Signals
According to @business, Bloomberg is inviting employees to share workplace AI breakthroughs that deliver real business value via the linked Bloomberg story page, indicating an active call for real-world enterprise AI use cases. Source: Bloomberg (@business) post on X dated Oct 12, 2025; Bloomberg article linked in the post. According to @business, the post does not disclose company names, financial metrics, product details, or timelines, providing no immediate price-sensitive information for AI-related equities or crypto assets. Source: Bloomberg (@business) post on X dated Oct 12, 2025. According to @business, for trading purposes the information is a qualitative sentiment input only because no datasets, case studies, or performance benchmarks are published in the post. Source: Bloomberg (@business) post on X dated Oct 12, 2025. According to @business, no cryptocurrencies are mentioned in the post or in the headline of the linked story page. Source: Bloomberg (@business) post on X dated Oct 12, 2025; Bloomberg article headline linked in the post. |
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2025-09-19 01:36 |
Sam Altman: OpenAI Codex Usage Up 3x in 7 Days — AI Traders Monitor Sentiment Shift
According to Sam Altman, Codex usage increased 3x over the past week (source: Sam Altman on X, Sep 19, 2025). The post provides no additional metrics, product segmentation, or any crypto/token references, limiting direct fundamental signals for digital assets (source: Sam Altman on X, Sep 19, 2025). As presented, the update serves as an AI adoption headline with potential sentiment relevance rather than a disclosed KPI tied to any cryptocurrency or blockchain (source: Sam Altman on X, Sep 19, 2025). |
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2025-09-05 17:38 |
Andrej Karpathy Praises OpenAI GPT-5 Pro Code Generation: Key Trading Signals for AI and Crypto Markets
According to @karpathy, OpenAI’s GPT-5 Pro solved a complex coding task by returning working code after about 10 minutes, following roughly an hour of intermittent attempts with “CC” that did not succeed, indicating a strong qualitative performance on difficult problems. Source: @karpathy (X, Sep 5, 2025). He adds that he had “CC” read the GPT-5 Pro output and it produced two paragraphs admiring the solution, reinforcing his positive assessment of GPT-5 Pro’s code-generation quality. Source: @karpathy (X, Sep 5, 2025). The post offers developer-level endorsement of GPT-5 Pro’s coding capability but provides no market reaction, price action, or product release details, so traders should treat it as a sentiment data point rather than a quantitative catalyst. Source: @karpathy (X, Sep 5, 2025). |
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2025-09-03 02:28 |
Agentic AI Costs Fall Below 1% as Performance Doubles Every 7–9 Months, Says @scottshics — Trading Takeaways for AI Startup Momentum
According to @scottshics, agentic AI has shifted from science fiction to production reality in two years, with performance doubling every 7–9 months and costs dropping to less than 1% of prior levels, highlighting rapid efficiency gains for builders (source: @scottshics on X, Sep 3, 2025). According to @scottshics, Sam Altman’s AI Startup School message that now is the best time to start a company reflects a strongly bullish founder environment for deploying AI products (source: @scottshics on X, Sep 3, 2025). According to @scottshics, the post focuses on acceleration in capability and cost deflation but does not cite specific equities, cryptocurrencies, or tokens, providing no asset-level references for immediate trades (source: @scottshics on X, Sep 3, 2025). According to @scottshics, no direct crypto market impact or token catalysts are mentioned, with the message centered on AI startup economics and improvement cadence (source: @scottshics on X, Sep 3, 2025). |
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2025-08-29 08:43 |
Greg Brockman (@gdb) Recommends Codex VSCode Plugin: Fast-Improving AI Coding Assistant Offers Clear Sentiment Datapoint for Traders (2025)
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. |