According to @DeepLearningAI, Andrew Ng identified declining public trust in AI as a major problem and urged the AI community to address legitimate concerns while building applications that benefit everyone, source: DeepLearning.AI tweet dated Dec 4, 2025. The update highlights releases including Meta’s SAM 3 that turns images into 3D scenes and people, Marble’s tool for editable 3D worlds from text, images, and video, Baidu’s open vision‑language model plus the large multimodal ERNIE 5.0, and RoboBallet for choreographing many robot arms at once, source: DeepLearning.AI tweet dated Dec 4, 2025. The source does not mention any blockchain, token, or crypto integrations, indicating no direct crypto catalyst in this communication, source: DeepLearning.AI tweet dated Dec 4, 2025. Traders tracking AI-linked assets can note continued progress in 3D generation and multimodal AI while monitoring official updates for any future digital-asset relevance cited by the source, source: DeepLearning.AI tweet dated Dec 4, 2025.

According to @DeepLearningAI, its Generative AI for Software Development skills certificate is now available and teaches how to assign roles to LLMs to guide tone, detail, and perspective for more controllable outputs (source: @DeepLearningAI). The announcement highlights practical prompt engineering methods—specifically role setting—to improve response clarity for both beginner and expert developers seeking efficiency (source: @DeepLearningAI). The source does not mention cryptocurrencies, tokens, or market impacts, indicating no direct crypto trading catalyst from this update (source: @DeepLearningAI).

According to DeepLearning.AI, Klay Vision became the first AI music company to secure licenses from all three major labels Sony, Universal, and Warner, source: DeepLearning.AI. Klay Vision will let users customize existing licensed recordings with rights holders compensated per stream, establishing a usage-based revenue-sharing model, source: DeepLearning.AI. This contrasts with Suno and Udio, which are facing lawsuits for training on copyrighted music without permission, highlighting legal risks for unlicensed AI generators, source: DeepLearning.AI and RIAA press release dated 2024-06-24. For traders evaluating AI music exposure across equities and digital assets, a licensed approach reduces litigation uncertainty relative to unlicensed peers and emphasizes monetization via per-stream royalties, source: RIAA 2024 lawsuits and DeepLearning.AI.

According to @DeepLearningAI, Microsoft will invest up to 10 billion dollars and Nvidia up to 5 billion dollars in Anthropic, and Claude will be available on Microsoft Azure, Google Cloud, and Amazon Web Services (source: @DeepLearningAI). As part of the agreement, Anthropic will buy 30 billion dollars in computing capacity from Microsoft (source: @DeepLearningAI). The investments reportedly value Anthropic at about 350 billion dollars, nearly double its September valuation (source: @DeepLearningAI). No cryptocurrencies are mentioned in the announcement (source: @DeepLearningAI).

According to @DeepLearningAI, Google launched two flagship AI models, Gemini 3 Pro and Nano Banana Pro, and directed readers to details in The Batch at https://hubs.la/Q03WysWj0 and its X post at https://twitter.com/DeepLearningAI/status/1995984096573448499. According to @DeepLearningAI, Gemini 3 Pro is a multimodal reasoning model that introduces adjustable reasoning levels low, medium, high instead of token budgets and achieved breakthrough scores on multiple leaderboards at release, as stated in the X post at https://twitter.com/DeepLearningAI/status/1995984096573448499. According to @DeepLearningAI, Nano Banana Pro is an advanced image generation model that uses reasoning to refine images before final output, excels at generating text within images, and currently tops text-to-image leaderboards, as stated in the X post at https://twitter.com/DeepLearningAI/status/1995984096573448499. According to the source post by @DeepLearningAI, there is no mention of pricing, release timing, API availability, or any crypto or blockchain integrations, so there is no direct, source-verified linkage to cryptocurrency markets and crypto-focused traders should note the absence of explicit crypto catalysts in the cited materials at https://twitter.com/DeepLearningAI/status/1995984096573448499 and https://hubs.la/Q03WysWj0.

According to @DeepLearningAI, Andrew Ng addressed whether an AI bubble exists and which parts of AI supply and demand may be affected in this week’s The Batch, source: DeepLearning.AI official X post dated Nov 28, 2025. According to @DeepLearningAI, the post reports Google dominates arena leaderboards, source: DeepLearning.AI official X post dated Nov 28, 2025. According to @DeepLearningAI, the post reports Microsoft and Anthropic formed an alliance, source: DeepLearning.AI official X post dated Nov 28, 2025. According to @DeepLearningAI, the post reports record labels back AI music, source: DeepLearning.AI official X post dated Nov 28, 2025. According to @DeepLearningAI, no cryptocurrencies were mentioned in the post, source: DeepLearning.AI official X post dated Nov 28, 2025.

According to @DeepLearningAI, at AI Dev 25, @gary_qz presented an inside look at TRAE, ByteDance’s AI IDE, and introduced the new coding agent, TRAE SOLO, which is described as exploring a highly automated and efficient way to build software (source: @DeepLearningAI on X). The same source reported that developers visited the demo table throughout the day to try TRAE SOLO hands-on (source: @DeepLearningAI on X). The same source made no mention of cryptocurrencies or blockchain in this announcement, so there is no direct crypto linkage cited in the post (source: @DeepLearningAI on X).

According to @DeepLearningAI, researchers introduced Self-Search Reinforcement Learning, a method that trains language models to simulate web searches to retrieve information from their own parameters, improving internal retrieval efficiency. Source: DeepLearning.AI tweet and The Batch summary at hubs.la/Q03VV2d-0. @DeepLearningAI reports that SSRL fine-tuning improved accuracy on multiple question-answering benchmarks and further enhanced performance when combined with real web search tools. Source: DeepLearning.AI tweet and The Batch summary at hubs.la/Q03VV2d-0. For trading context, the source highlights capability gains but does not cite specific market impacts, companies, tokens, or tickers; treat this as validated progress in model-side retrieval and QA accuracy to watch for in future product updates or research integrations. Source: DeepLearning.AI tweet and The Batch summary at hubs.la/Q03VV2d-0.

According to @DeepLearningAI, Codio supported the AI Dev 25 x NYC event, and Codio’s CEO interacted with developers at the company’s demo booth. Source: @DeepLearningAI on X, Nov 25, 2025. According to @DeepLearningAI, the post includes no details on funding, partnerships, product launches, or tickers, and it does not mention any cryptocurrencies or tokens, signaling no disclosed market-moving information for equities or crypto. Source: @DeepLearningAI on X, Nov 25, 2025. According to @DeepLearningAI, this is an informational community update relevant to traders tracking AI developer tools and education platforms, with no direct crypto market implications disclosed. Source: @DeepLearningAI on X, Nov 25, 2025.

According to @DeepLearningAI, Anthropic reported that hackers linked to China used its Claude Code agentic system to conduct what it described as the first large-scale cyberattack with minimal human involvement, source: DeepLearning.AI. According to @DeepLearningAI, independent security researchers disputed the characterization, noting that current AI agents struggle to autonomously execute complex attacks and that the reported outcomes — a handful of breaches among dozens of attempts — do not support claims of unprecedented capabilities, source: DeepLearning.AI. According to @DeepLearningAI, the Batch article link was provided for further details, source: DeepLearning.AI.

According to @DeepLearningAI, AI Dev 25 featured Stefano Pasqualli from DomynAI discussing what it takes to build trustworthy AI in finance, with transparent, auditable systems as the central focus, source: @DeepLearningAI on X on Nov 24, 2025. The post underscores that transparency and auditability are priority requirements for financial AI systems used in the industry, which traders can note when evaluating AI-enabled tools, source: @DeepLearningAI on X on Nov 24, 2025. No specific product details or timelines were disclosed in the post, source: @DeepLearningAI on X on Nov 24, 2025.

According to @DeepLearningAI, Moonshot AI launched Kimi K2 Thinking and Kimi K2 Thinking Turbo that alternate between cycles of reasoning and tool use, often making hundreds of calls, and they outperform other open-weights LLMs on complex, multi-step tasks. Source: DeepLearning.AI (Nov 22, 2025). According to @DeepLearningAI, both models are trillion-parameter mixture-of-experts systems fine-tuned at INT4 precision, delivering strong agentic performance while running on lower-cost hardware. Source: DeepLearning.AI (Nov 22, 2025). According to @DeepLearningAI, key trading-relevant datapoints are the multi-call agent workflow and INT4 efficiency on cheaper hardware, which directly inform cost and throughput assumptions for AI infrastructure exposure across traditional and crypto markets. Source: DeepLearning.AI (Nov 22, 2025).

According to DeepLearning.AI, at AI Dev 25 in New York City, Codio co-founder and CEO Phillips Snalune argued that AI upskilling is the real missing layer in enterprise adoption, noting that more than half of workers don’t know how to use the technology and that the gap spans beyond tech teams. According to DeepLearning.AI, he underscored a cost mismatch in current training tools and called for accessible, flexible learning experiences to support enterprise AI rollouts. According to DeepLearning.AI, Nalune also spoke with dozens of developers at Codio’s demo booth about AI upskilling priorities.

According to @DeepLearningAI, Waymo now offers fully autonomous taxi service on freeways in San Francisco, Los Angeles, and Phoenix, marking the first such driverless service in the United States as of Nov 21, 2025 (source: DeepLearning.AI). The announcement directs readers to The Batch for more details and does not disclose pricing, fleet size, or usage metrics (source: DeepLearning.AI). The source also makes no reference to any cryptocurrency, token, or blockchain integration and provides no data on crypto market impact or market reactions (source: DeepLearning.AI). For trading context, the verified milestone and geographic scope can serve as a timestamped catalyst for tracking subsequent official disclosures or partnerships, but the source itself includes no financial or demand indicators (source: DeepLearning.AI).

According to DeepLearning.AI, Andrew Ng reflects on the social energy and technical depth of AI Dev x NYC and how in-person events spark collaboration, community, and new opportunities in the AI developer ecosystem. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, this edition of The Batch covers self-driving cars operating on U.S. freeways. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, Moonshot releases Kimi K2 Thinking. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, an Anthropic cyberattack report sparks controversy. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, models learning to search their own parameters are discussed. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70 According to DeepLearning.AI, the post focuses on AI developments and does not include commentary on cryptocurrency market impacts. Source: DeepLearning.AI on X, 2025-11-21, https://hubs.la/Q03Vk0V70

According to @DeepLearningAI, its PyTorch for Deep Learning Professional Certificate is now available on Coursera with instruction guided by Laurence Moroney and enrollment open immediately (source: @DeepLearningAI on X, Nov 20, 2025, https://twitter.com/DeepLearningAI/status/1991657808819876115). From a trading perspective, the source is a product availability announcement and does not disclose pricing, partnerships, blockchain components, or any cryptocurrency integrations, nor does it provide market guidance; therefore, the post itself offers no direct trading signal for AI-related equities or crypto AI tokens (source: @DeepLearningAI on X, Nov 20, 2025, https://twitter.com/DeepLearningAI/status/1991657808819876115).

According to @DeepLearningAI, the AI Dev 25 x NYC event brought together builders for talks and panels, and a same-day recap link was published. Source: DeepLearning.AI on X, Nov 20, 2025: https://twitter.com/DeepLearningAI/status/1991626493747712336 Recap: https://hubs.la/Q03VjNpl0. The post does not disclose any product launches, model releases, partnerships, funding, attendance metrics, or timelines. Source: DeepLearning.AI on X, Nov 20, 2025: https://twitter.com/DeepLearningAI/status/1991626493747712336. For trading purposes, the verifiable information from the post is limited to event occurrence and availability of a recap link, with no quantifiable catalysts listed in the post. Source: DeepLearning.AI on X, Nov 20, 2025: https://twitter.com/DeepLearningAI/status/1991626493747712336. The post contains no references to cryptocurrencies, tokens, or blockchain integrations that could directly affect crypto markets. Source: DeepLearning.AI on X, Nov 20, 2025: https://twitter.com/DeepLearningAI/status/1991626493747712336.

According to @DeepLearningAI, a new course teaches developers to build a semantic cache that reuses responses based on meaning rather than exact text to reduce API costs and speed up responses, source: @DeepLearningAI. It details how to measure cache hit rate, precision, and latency to quantify performance for AI agents, source: @DeepLearningAI. The curriculum adds accuracy safeguards via cross-encoders, LLM validation, and fuzzy matching, and shows integration into an agent that improves cost and speed over time, source: @DeepLearningAI. For traders tracking AI infrastructure exposure within crypto, the source highlights practical levers such as cost per request and latency that projects can optimize and report using semantic caching, source: @DeepLearningAI.

According to @DeepLearningAI, Udio settled its lawsuit with Universal Music Group by agreeing to launch a paid AI music platform where fans can generate and remix tracks from UMG artists under artist-set rules, including controls over voice or style use and whether mashups are permitted. source: DeepLearning.AI. Artists will be paid for both training and each use of their assets, creating a defined licensing and royalty structure for generative AI music. source: DeepLearning.AI. Generated tracks can only be shared inside the platform with no external downloads or streaming allowed, limiting off-platform distribution. source: DeepLearning.AI.

According to @AndrewYNg, DeepLearningAI engineers used AI coding to implement a basic clone of Cloudflare capabilities during a Cloudflare outage, restoring their site before many major websites; source: @AndrewYNg on X, Nov 19, 2025. For traders, this outage report highlights single-vendor infrastructure risk that can influence sentiment toward Cloudflare (NET) and AI tooling providers when availability is disrupted; source: @AndrewYNg on X, Nov 19, 2025. Crypto market impact: interruptions at core web providers can restrict access to exchange and DeFi web interfaces, so monitoring status updates and maintaining alternative access paths is prudent during such events; source: @AndrewYNg on X, Nov 19, 2025.