According to Anthropic (@AnthropicAI), national security expert Richard Fontaine has been appointed to the company's Long-Term Benefit Trust, a governance structure designed to oversee the ethical and strategic direction of Anthropic’s AI development (Source: Anthropic, June 6, 2025). This move is likely to strengthen Anthropic’s compliance and risk management framework, which is crucial as AI regulations tighten globally. For cryptocurrency traders, Fontaine's appointment signals increased institutional confidence in responsible AI development, potentially bolstering AI-related crypto projects and tokens as investors seek aligned, well-governed technologies.

According to Santiment, the top 10 AI and Big Data crypto projects ranked by development activity are led by Internet Computer (ICP), Filecoin (FIL), and NEAR Protocol (NEAR), with ICP and FIL moving up in rankings while NEAR sees a slight drop. Other notable gainers include Livepeer (LPT) and Injective (INJ). Increased development signals ongoing innovation and project strength, both key indicators for traders assessing long-term value and short-term momentum. Active development often correlates with positive price action and increased investor confidence, especially as AI and Big Data remain trending narratives in the 2025 crypto market (Source: Santiment, June 3, 2025).

According to Sam Altman, CEO of OpenAI, user feedback on the pricing model for their new AI software engineer tool is sharply divided, with some users demanding unlimited access in the $20 plan and others questioning why the tool isn't priced at $20,000 per month (Source: Sam Altman on Twitter, May 16, 2025). This polarized response highlights the challenges in pricing advanced generative AI products and has sparked discussion among cryptocurrency traders about the potential for AI-driven projects to capture higher value, influencing token valuations and driving interest in crypto projects linked to AI development.

According to AI at Meta, Meta FAIR has announced the release of new groundbreaking AI models, benchmarks, and datasets, including the Open Molecules 2025 (OMol25) dataset, designed to advance molecular property prediction, language processing, and neuroscience research (source: @AIatMeta, May 14, 2025). For traders, these innovations are significant as they can accelerate AI-driven solutions in the biotech and pharmaceutical sectors, which frequently intersect with blockchain-based data management and tokenized research platforms. The release of OMol25 and related tools could increase demand for AI-powered crypto projects and tokens focused on healthcare and scientific data marketplaces, potentially influencing related cryptocurrency prices and trading volumes.