According to @AnthropicAI, applications are now open for two rounds of the Anthropic Fellows Program beginning in May and July 2026, each running four months and providing funding, compute, and direct mentorship for researchers and engineers focused on safety and security projects, per @AnthropicAI. The announcement does not disclose award sizes, eligibility details, or partnerships and makes no mention of any blockchain or cryptocurrency integrations, per @AnthropicAI. From a trading perspective, this is a dated AI research catalyst with no explicit crypto tie-in in the announcement, per @AnthropicAI.

According to @AnthropicAI, applications are open for the program’s Safety track and a new Security track has been added, with direct application links at job-boards.greenhouse.io/anthropic/jobs/5023394008 and job-boards.greenhouse.io/anthropic/jobs/5030244008. Source: Anthropic (@AnthropicAI) on X, Dec 11, 2025; Greenhouse job postings 5023394008 and 5030244008. No cryptocurrency, token, or blockchain components are mentioned in the announcement, indicating no direct on-chain or ticker-specific catalyst from this post. Source: Anthropic (@AnthropicAI) on X, Dec 11, 2025. For trading relevance, this is a program hiring and track expansion notice; the tweet provides application links but does not include metrics, timelines, funding, partnerships, or product-launch details that would quantify near-term market impact. Source: Anthropic (@AnthropicAI) on X, Dec 11, 2025.

According to @AnthropicAI, 40% of fellows in its first cohort have joined Anthropic full time, 80% published their work as a paper, and the fellowship will expand next year to more fellows and research areas (source: Anthropic, official X post on Dec 11, 2025, https://twitter.com/AnthropicAI/status/1999233251706306830; more details: https://t.co/HSQjGy90AZ). This disclosure provides measurable R&D pipeline and talent retention metrics at Anthropic, a leading AI lab with strategic investment from Amazon of up to 4 billion dollars and from Alphabet of up to 2 billion dollars, which underscores its ecosystem relevance to AI equities and infrastructure partners (sources: Amazon press release, Sep 25, 2023, https://www.aboutamazon.com/news/company-news/amazon-invests-up-to-4-billion-in-anthropic; Reuters, Oct 27, 2023, Alphabet invests up to 2 billion dollars in Anthropic, https://www.reuters.com/world/us/alphabet-invests-up-2-billion-anthropic-wsj-2023-10-27/). For trading context, the update is a talent and research output milestone with no direct mention of tokens or blockchain integrations, so any crypto market readthrough should rely on subsequent official research releases or partner announcements rather than price claims (source: Anthropic, official X post on Dec 11, 2025, https://twitter.com/AnthropicAI/status/1999233251706306830).

According to @AnthropicAI, MCP has joined the Agentic AI Foundation, a directed fund within the Linux Foundation (source: @AnthropicAI, Dec 11, 2025). The post describes MCP as an open standard for connecting AI systems to the world, with co-creator David Soria Parra outlining its origin and what comes next (source: @AnthropicAI, Dec 11, 2025). The announcement does not mention any crypto tokens, blockchain integrations, or implementation timelines, so immediate crypto market catalysts were not specified (source: @AnthropicAI, Dec 11, 2025). The communication focuses on governance placement under the Linux Foundation and provides no market metrics, release dates, or pricing data relevant to trading decisions (source: @AnthropicAI, Dec 11, 2025).

According to @AnthropicAI, the SGTM study was run in a simplified setup using small models with proxy evaluations rather than standard benchmarks, limiting generalizability for production-scale systems, source: https://twitter.com/AnthropicAI/status/1998479616651178259. According to @AnthropicAI, SGTM does not stop in‑context attacks when an adversary supplies the information themselves, underscoring unresolved model misuse risks, source: https://twitter.com/AnthropicAI/status/1998479616651178259. According to @AnthropicAI, the post provides no standard benchmark results or references to financial or crypto assets, and it does not indicate any direct crypto market catalyst in this update, source: https://twitter.com/AnthropicAI/status/1998479616651178259.

According to AnthropicAI, SGTM unlearning is hard to undo and requires seven times more fine-tuning steps to recover forgotten knowledge compared with the prior RMU method, indicating materially higher reversal effort (source: Anthropic on X, Dec 9, 2025). For trading context, this 7x delta provides a measurable robustness gap between SGTM and RMU that can be tracked as an AI safety metric with direct implications for reversal timelines and optimization iterations (source: Anthropic on X, Dec 9, 2025).

According to @AnthropicAI, Selective Gradient Masking (SGTM) splits model weights into retain and forget subsets during pretraining and directs specified knowledge into the forget subset, according to Anthropic's alignment site. The forget subset can then be removed prior to release to limit hazardous capabilities in high-risk settings, according to Anthropic's alignment article. The announcement does not reference cryptocurrencies or tokenized AI projects and does not state any market or pricing impact, according to Anthropic's post.

According to @AnthropicAI, the company published the full SGTM research paper and released the associated code on GitHub to enable reproducibility, source: @AnthropicAI on X, Dec 9, 2025. The announcement includes no mention of cryptocurrencies, tokens, or blockchain integration, indicating this is a research disclosure rather than a token or product launch, source: @AnthropicAI on X, Dec 9, 2025.

According to @AnthropicAI, when controlling for general capabilities, models trained with SGTM perform worse on the undesired forget subset than models trained with data filtering, highlighting a reported performance gap between these unlearning approaches on targeted knowledge removal tasks, source: https://twitter.com/AnthropicAI/status/1998479611945202053. For trading context, the verified takeaway is the relative underperformance of SGTM versus data filtering on the forget subset under equal capability control, with no specific assets or tickers mentioned in the source, source: https://twitter.com/AnthropicAI/status/1998479611945202053.

According to @AnthropicAI, the Anthropic Fellows Program introduced Selective GradienT Masking (SGTM), a training method that isolates high-risk knowledge into a small, separate set of parameters that can be removed without broadly affecting the model. Source: Anthropic (@AnthropicAI), Dec 9, 2025. The post frames SGTM as research and provides no details on deployment, commercialization timelines, or policy commitments. Source: Anthropic (@AnthropicAI), Dec 9, 2025. No information is disclosed about partnerships, revenue impact, token integrations, or compute procurement that would directly influence crypto markets or AI-linked equities. Source: Anthropic (@AnthropicAI), Dec 9, 2025. For traders, confirmed data points are the method name (SGTM), purpose (containing high-risk capabilities), and the claim that removal minimally impacts overall model behavior, while the announcement remains informational without market-moving disclosures. Source: Anthropic (@AnthropicAI), Dec 9, 2025.

According to @AnthropicAI, the organization announced on December 9, 2025 that research was led by Igor Shilov as part of the Anthropic Fellows Program via its official X account, source: AnthropicAI. The post provided leadership attribution and program context but did not disclose technical findings, benchmarks, product releases, or timelines, limiting immediate quantifiable trading signals from this announcement alone, source: AnthropicAI.

According to @AnthropicAI, its study tested whether SGTM can remove biology knowledge from models trained on Wikipedia (source: Anthropic @AnthropicAI, Dec 9, 2025). According to @AnthropicAI, the team cautions that data filtering may leak relevant information because non-biology Wikipedia pages can still contain biology content (source: Anthropic @AnthropicAI, Dec 9, 2025). According to @AnthropicAI, the post does not provide quantitative results, timelines, or any mention of cryptocurrencies, tokens, or market impact (source: Anthropic @AnthropicAI, Dec 9, 2025).

According to @AnthropicAI, Anthropic is donating the Model Context Protocol (MCP) to the Agentic AI Foundation, a directed fund under the Linux Foundation, to keep MCP open and community-driven. Source: Anthropic on X 2025-12-09 https://twitter.com/AnthropicAI/status/1998437922849350141. According to @AnthropicAI, the company stated MCP has become a foundational protocol for agentic AI in its first year. Source: Anthropic on X 2025-12-09 https://twitter.com/AnthropicAI/status/1998437922849350141. According to @AnthropicAI, the announcement does not mention tokens, blockchain integrations, or financial terms, indicating no direct linkage to crypto assets in this disclosure. Source: Anthropic on X 2025-12-09 https://twitter.com/AnthropicAI/status/1998437922849350141.

According to @AnthropicAI, Anthropic and Accenture are expanding their partnership to move enterprises from AI pilots to production via a new Accenture Anthropic Business Group, source: Anthropic X post on Dec 9, 2025; anthropic.com/news/anthropic-accenture-partnership. Accenture will field 30,000 professionals trained on Claude and introduce a product to help CIOs scale Claude Code, offering increased delivery capacity for enterprise AI deployment, source: Anthropic X post on Dec 9, 2025; anthropic.com/news/anthropic-accenture-partnership. The announcement does not mention any cryptocurrency or blockchain components, indicating no direct on-chain integration at launch, source: anthropic.com/news/anthropic-accenture-partnership. For trading exposure, Accenture plc is listed under ticker ACN, source: investor.accenture.com.

According to @AnthropicAI, Accenture and Anthropic launched a multi-year partnership to move enterprises from AI pilots to production; source: Anthropic. The announcement describes Anthropic as an AI safety and research company focused on building reliable, interpretable, and steerable AI systems; source: Anthropic. The provided announcement text includes no reference to cryptocurrencies or blockchain; source: Anthropic.

According to @AnthropicAI, Anthropic is donating the Model Context Protocol (MCP) and establishing the Agentic AI Foundation, as stated in its announcement titled Donating the Model Context Protocol and establishing the Agentic AI Foundation (source: @AnthropicAI). The announcement describes Anthropic as an AI safety and research company working to build reliable, interpretable, and steerable AI systems (source: @AnthropicAI). The post does not reference cryptocurrencies, tokens, or blockchain, and provides no direct trading catalyst for digital assets based on the source text (source: @AnthropicAI).

According to @AnthropicAI, Amanda Askell’s first AMA covers philosophical questions in AI including morality, identity, and consciousness, with timestamps provided for the video. Source: Anthropic on X, Dec 5, 2025. The post is an AMA announcement and does not mention product launches, model upgrades, pricing changes, enterprise partnerships, or roadmap milestones. Source: Anthropic on X, Dec 5, 2025. Given the absence of technical or commercial disclosures, this item offers limited direct trading catalysts for AI-focused equities and crypto AI tokens, and is best read as high-level context rather than a market-moving update. Source: Anthropic on X, Dec 5, 2025.

According to @AnthropicAI, Anthropic launched Anthropic Interviewer, a tool to understand people’s perspectives on AI, with access available for a week-long pilot via the link shared in its Dec 4, 2025 post on X, source: Anthropic @AnthropicAI post dated Dec 4, 2025. According to @AnthropicAI, the time-limited one-week window establishes a near-term event timeline for subsequent updates or results from the pilot, source: Anthropic @AnthropicAI post dated Dec 4, 2025. According to CoinGecko, AI tokens were among the strongest performers during prior AI headline cycles, with the AI narrative leading crypto sector gains in Q1 2023, making tokens such as FET, RNDR, and AGIX key instruments traders track during major AI announcements, source: CoinGecko Q1 2023 Crypto Industry Report and CoinGecko AI category constituents as of 2024. According to Amazon and Google Cloud, Anthropic maintains strategic partnerships with Amazon and Google, providing equity readthroughs to AMZN and GOOGL alongside AI infrastructure names during Anthropic product releases, source: Amazon press release on up to 4 billion investment in Anthropic dated Sep 25, 2023 and Google Cloud partnership announcements in 2023.

According to @AnthropicAI, the company surveyed 1,250 professionals on their views about work and AI, with the largest sample from the general workforce and additional subgroups of creatives and scientists where AI’s role is contested and rapidly evolving, source: Anthropic on X, Dec 4, 2025. No detailed findings were provided in the post; traders should monitor for the full results release to access primary cross-industry sentiment data before positioning, source: Anthropic on X, Dec 4, 2025.

According to @AnthropicAI, creatives report job-security anxiety and sometimes hide their AI usage due to stigma, highlighting cautious real-world adoption of AI tools (source: Anthropic, X, Dec 4, 2025). According to @AnthropicAI, scientists want AI research partners but currently confine usage to tasks such as writing manuscripts and debugging code, indicating constrained deployment in research workflows (source: Anthropic, X, Dec 4, 2025). According to @AnthropicAI, the update does not mention adoption in core experimental design, autonomous research agents, or any crypto integrations, providing no direct signal for crypto assets in this communication (source: Anthropic, X, Dec 4, 2025). According to @AnthropicAI, the disclosed usage pattern centers on writing and code assistance rather than end-to-end research automation, a data point traders can track for assessing adoption-sensitive AI narratives (source: Anthropic, X, Dec 4, 2025).