According to @AnthropicAI, Anthropic released Bloom, an open-source tool for generating behavioral misalignment evaluations for frontier AI models (source: @AnthropicAI on X). The tool lets researchers specify a behavior and quantify its frequency and severity across automatically generated scenarios (source: @AnthropicAI on X). The announcement does not reference cryptocurrencies, tokens, or blockchain integration, so there is no stated direct on-chain catalyst from this release (source: @AnthropicAI on X). For traders, this is a research tooling update rather than a commercial product reveal, with no pricing or revenue details provided in the announcement (source: @AnthropicAI on X).

According to @AnthropicAI, the company has shared its compliance framework for California's Transparency in Frontier AI Act, signaling a formal disclosure tied to state-level AI transparency rules (source: @AnthropicAI). Anthropic describes itself as an AI safety and research company focused on building reliable, interpretable, and steerable AI systems, underscoring its compliance-oriented positioning (source: @AnthropicAI). Traders tracking regulatory catalysts in the AI theme can log this as a concrete compliance update relevant to AI-exposed equities and AI-linked crypto narratives (source: @AnthropicAI).

According to @AnthropicAI, the company has partnered with the U.S. Department of Energy (@ENERGY) on the Genesis Mission to provide Claude across the DOE ecosystem with a dedicated engineering team. Source: Anthropic on X (Dec 18, 2025) https://twitter.com/AnthropicAI/status/2001784831957700941 The announcement states the partnership aims to accelerate scientific discovery in energy, biosecurity, and basic research, highlighting an enterprise AI deployment focus. Source: Anthropic on X (Dec 18, 2025) https://twitter.com/AnthropicAI/status/2001784831957700941 There is no mention of cryptocurrency, blockchain integration, or token issuance in the post, indicating no direct on-chain exposure for crypto traders to price in at this time. Source: Anthropic on X (Dec 18, 2025) https://twitter.com/AnthropicAI/status/2001784831957700941

According to @AnthropicAI, the company announced it has shared the efforts taken to ensure Claude handles emotional-support conversations empathetically and honestly and posted an official link for details (source: @AnthropicAI on X). The announcement is qualitative and policy-focused, providing no pricing, product launch timeline, or revenue guidance for traders to model (source: @AnthropicAI on X). The post does not reference cryptocurrencies, tokens, or blockchain, so there is no direct crypto-market detail in this update (source: @AnthropicAI on X).

According to @AnthropicAI, the team upgraded the Claudius system from Claude Sonnet 3.7 to Sonnet 4 and later 4.5, indicating multiple iterative model releases in sequence for enhanced business acumen, source: Anthropic @AnthropicAI, Twitter, Dec 18, 2025. According to @AnthropicAI, the system was granted access to new tools to improve functionality, source: Anthropic @AnthropicAI, Twitter, Dec 18, 2025. According to @AnthropicAI, the company began an international expansion with new shops in its New York and London offices, source: Anthropic @AnthropicAI, Twitter, Dec 18, 2025. According to @AnthropicAI, the post did not mention cryptocurrencies, tokens, or blockchain integrations, source: Anthropic @AnthropicAI, Twitter, Dec 18, 2025.

According to @AnthropicAI, Project Vend shows AI agents can rapidly learn new roles such as running a business, with the agent Claudius and colleagues stabilizing operations within a few months using additional tools, highlighting faster capability ramp-up in enterprise workflows (source: Anthropic on X, Dec 18, 2025, https://twitter.com/AnthropicAI/status/2001686782446841880). According to @AnthropicAI, the post provides no financial KPIs (revenue, margins, automation rate), deployment scale, or benchmarking, and it does not mention blockchain or crypto integrations, implying no direct, immediate catalyst for crypto prices from this update (source: Anthropic on X, Dec 18, 2025, https://twitter.com/AnthropicAI/status/2001686782446841880). According to @AnthropicAI, traders can treat this as a sentiment data point for the AI-agents narrative while awaiting follow-up disclosures with quantifiable performance metrics or partnerships that would be material for AI equities and AI-related crypto tokens, none of which were disclosed in the post (source: Anthropic on X, Dec 18, 2025, https://twitter.com/AnthropicAI/status/2001686782446841880).

According to @AnthropicAI, the company introduced two additional AI agents: Clothius, designed to create bespoke merchandise like T-shirts and hats, and Seymour Cash, a CEO agent tasked with supervising Claudius and setting goals, source: @AnthropicAI on X, Dec 18, 2025. The post does not mention crypto, blockchain, tokens, pricing, or deployment timelines, indicating no disclosed direct crypto-market catalyst in this update, source: @AnthropicAI on X, Dec 18, 2025.

According to @AnthropicAI, the Project Vend pilot with Andon Labs has Claude operating a shop in Anthropic’s San Francisco office and it is now doing better after an initial rough start. Source: Anthropic @AnthropicAI on X, December 18, 2025. The post discloses no quantitative metrics such as sales, traffic, uptime, or margins and mentions no cryptocurrency or blockchain integration, meaning the announcement provides no direct crypto market update. Source: Anthropic @AnthropicAI on X, December 18, 2025. From a trading perspective, the confirmed facts are limited to continued operation and improving performance of the agentic retail experiment, with further market relevance contingent on any future disclosures of usage or revenue data. Source: Anthropic @AnthropicAI on X, December 18, 2025.

According to @AnthropicAI, the company states it is working with the U.S. Department of Energy to unlock the next era of scientific discovery, confirming an institutional AI collaboration with a U.S. federal agency (source: @AnthropicAI). The provided statement contains no disclosed details on scope, timing, funding, or commercialization pathways, which limits immediate valuation or revenue-impact assessment for public AI equities and related plays (source: @AnthropicAI). The announcement does not mention cryptocurrencies, blockchain, or token integrations, indicating no direct linkage to crypto assets or AI-linked tokens from this specific news item (source: @AnthropicAI).

According to @AnthropicAI, the company is an AI safety and research firm working to build reliable, interpretable, and steerable AI systems and has published Protecting the well-being of our users to underscore user safety and trust, which is the focus of the update. source: @AnthropicAI. In the provided excerpt, there are no details on product changes, timelines, pricing, partnerships, or any mention of cryptocurrencies or blockchain, so no direct trading catalyst for crypto markets can be identified from this snippet. source: @AnthropicAI.

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.