According to God of Prompt on X (formerly Twitter), OpenAI’s recent focus on monetizing its large language models (LLMs) through advertising stands in sharp contrast to the ambitious AI initiatives by other industry leaders. While Anthropic’s CEO discusses Nobel Prize-worthy breakthroughs and Google explores AI applications in quantum computing and drug discovery, OpenAI’s shift toward ad-based revenue models is raising questions about its leadership in AI innovation. This divergence highlights market opportunities for companies pursuing groundbreaking AI applications, as reported by God of Prompt.

According to Andrew Ng on Twitter, DeepLearning.ai has launched a new course titled 'Agent Skills with Anthropic', developed in collaboration with Anthropic and taught by Ed Schoppik. The course introduces an open standard for agent skills, which are structured as folders of instructions allowing AI agents to access on-demand knowledge and execute repeatable workflows. Learners will gain practical experience building custom skills for code generation, data analysis, and research, as well as integrating Anthropic's pre-built skills for platforms like Excel and PowerPoint. The course highlights interoperability, enabling skills to be deployed across Claude.ai, Claude Code, the Claude API, and the Claude Agent SDK. According to DeepLearning.ai, these advancements present significant opportunities for scalable, specialized AI applications and streamlined business processes.

According to DeepLearning.AI on Twitter, a new short course titled 'Agent Skills with Anthropic' is now available, created in collaboration with Anthropic and taught by Elie Schoppik. The course demonstrates how to improve the reliability of AI agents by shifting workflow logic from traditional prompts to reusable skills. These skills are organized into structured folders of instructions, enabling more consistent and scalable agent behaviors. As reported by DeepLearning.AI, this approach offers practical business benefits for organizations seeking to streamline AI development and deployment.

According to Sawyer Merritt, Anthropic projects its 2024 revenue to reach as much as $18 billion, representing a 20% increase over its prior summer forecast. The company anticipates continued robust growth, forecasting $55 billion in revenue by 2027 and, in its most optimistic outlook, up to $148 billion by 2029. These aggressive targets underscore Anthropic's expanding influence in the generative AI sector and highlight major business opportunities for companies leveraging advanced language models like Claude3. As reported by Sawyer Merritt, this trajectory positions Anthropic as a leading contender in the rapidly evolving AI market.

According to The Rundown AI, Anthropic's CEO highlighted AI's potential 'civilizational' dangers and emphasized the need for robust safety protocols. Anthropic is also embedding interactive applications within its Claude AI model, offering enhanced user experiences and new business opportunities. Additionally, Microsoft introduced its Maia 200 AI chip, which promises powerful performance improvements for enterprise AI workloads. The report also details four new AI tools and evolving community workflows, underlining the rapid pace of practical innovation and commercial adoption in the sector.

According to Anthropic, the company is collaborating with the UK's Department for Science, Innovation and Technology to develop an AI assistant for GOV.UK. This AI solution will provide tailored advice, streamlining how British citizens access and navigate government services. As reported by Anthropic, the partnership leverages advanced AI capabilities to enhance user experience and boost the efficiency of public service delivery, highlighting significant business opportunities for AI-driven platforms in government sectors.

According to God of Prompt on Twitter, Dario Amodei, CEO of Anthropic, has publicly labeled AI companies as a potential civilizational threat, ranking them above countries like Saudi Arabia and UAE in terms of risk. In his essay, Amodei lists the Chinese Communist Party as the top concern, followed by democratic governments misusing AI, and then AI companies themselves. He specifically warns that AI firms could "brainwash their massive consumer user base," highlighting risks such as secret development of military hardware, unaccountable use of massive compute resources, and use of AI as propaganda. Amodei urges AI companies to commit publicly to not engaging in these practices, emphasizing the need for industry-wide accountability. As reported by God of Prompt, this marks a rare instance of an AI industry leader candidly addressing the sector's own risks and calling for ethical commitments, with major implications for the regulation and governance of advanced AI.

According to God of Prompt on Twitter, users can now visit claude.ai/directory to connect apps labeled as 'interactive' within the Claude platform. This new feature is immediately available on web and desktop for users subscribed to Pro, Max, Team, and Enterprise plans, and will soon expand to Claude Cowork, as reported by God of Prompt. This update allows businesses and professionals to streamline workflows and enhance productivity by integrating various interactive applications seamlessly within Claude.

According to @godofprompt on Twitter, Anthropic has introduced a major update to Claude that enables direct integration with over 10 productivity tools, including Asana, Slack, and Figma, without the need to switch browser tabs. This breakthrough allows users to streamline workflows, collaborate across platforms, and improve productivity by managing multiple tasks within the Claude interface. As reported by @godofprompt, this development highlights Anthropic's focus on enhancing business efficiency and expanding practical AI applications for enterprise users.

According to God of Prompt on Twitter, Anthropic has introduced a significant update to Claude, enabling users to interact directly with popular productivity tools like Asana, Slack, Figma, and over 10 additional applications within the Claude interface. As reported by God of Prompt, this change eliminates the need to switch between browser tabs, streamlining workflows and enhancing efficiency for businesses leveraging AI-powered automation. This integration marks a major step in practical AI adoption and is poised to impact collaboration and project management across industries.

According to God of Prompt on Twitter, Anthropic has introduced interactive work tools in Claude, enabling users to draft Slack messages, visualize concepts as Figma diagrams, and build Asana timelines directly within the AI assistant. This development, as reported by @claudeai, demonstrates Anthropic's focus on practical productivity enhancements and positions Claude as a valuable tool for business workflows seeking seamless integration with popular platforms.

According to Anthropic (@AnthropicAI), elicitation attacks are effective across various open-source AI models and chemical weapons-related tasks. The analysis reveals that open-source models fine-tuned using frontier model data experience a greater performance boost in these tasks compared to those trained solely on chemistry textbooks or self-generated data. This highlights a significant risk and practical consideration for the AI industry regarding how model fine-tuning sources can influence susceptibility to misuse, offering important insights for businesses and developers working with open-source large language models.

According to Anthropic, elicitation attacks on AI systems can utilize seemingly benign data sets, such as those related to cheesemaking, fermentation, or candle chemistry, to significantly improve performance on sensitive chemical weapons tasks. In a recent experiment cited by Anthropic, training with harmless chemistry data was found to be two-thirds as effective as training with actual chemical weapon data for enhancing AI task performance in this domain. This highlights a critical vulnerability in large language models, underscoring the need for improved safeguards in AI training and deployment to prevent misuse through indirect data channels.

According to Anthropic (@AnthropicAI), training open-source AI models on data generated by newer frontier models from both OpenAI and Anthropic significantly increases the capabilities and potential risks of these models. This trend highlights an urgent need for careful management of model data and training processes, as reported by Anthropic, since more advanced models can inadvertently enable more powerful—and potentially dangerous—open-source AI applications.

According to Anthropic (@AnthropicAI), new research demonstrates that when open-source models are fine-tuned using seemingly benign chemical synthesis data generated by advanced frontier models, their proficiency in performing chemical weapons tasks increases significantly. This phenomenon, termed an elicitation attack, highlights a critical security vulnerability in the fine-tuning process of AI models. As reported by Anthropic, the findings underscore the need for stricter oversight and enhanced safety protocols in the deployment of open-source AI in sensitive scientific domains, with direct implications for risk management and AI governance.

According to The Rundown AI, Anthropic has expanded Claude's integration to support Excel, enabling more efficient data handling for business users. The report also highlights The Rundown Roundtable's discussion on practical AI use cases, the rapid creation of ads with Remotion, and notes that half of U.S. workers reportedly never use AI in their jobs. Additionally, four new AI tools and community workflows were introduced, reflecting ongoing innovation and business opportunities across the AI sector.

According to God of Prompt on Twitter, the current discussions between Apple and Anthropic highlight a strategic move to integrate advanced AI models into Apple’s ecosystem (source: God of Prompt, Twitter, Jan 25, 2026). This collaboration aims to leverage Anthropic’s cutting-edge AI, including large language models, to enhance Apple’s Siri, device automation, and privacy-focused features. Industry analysts see significant business opportunities as Apple positions itself to compete with Google and Microsoft in generative AI applications, potentially opening new revenue streams through AI-powered services and personalized user experiences. The partnership reflects the growing trend of big tech companies aligning with specialized AI firms to accelerate innovation and gain a competitive edge in the rapidly evolving artificial intelligence market.

According to Anthropic (@AnthropicAI), the company has updated its behavior audits to assess more recent generations of frontier AI models, as detailed on the Alignment Science Blog (source: https://twitter.com/AnthropicAI/status/2014490504415871456). This update highlights the growing need for rigorous evaluation of large language models to ensure safety, reliability, and ethical compliance. For businesses developing or deploying cutting-edge AI systems, integrating advanced behavior audits can mitigate risks, build user trust, and meet regulatory expectations in high-stakes industries. The move signals a broader industry trend toward transparency and responsible AI deployment, offering new market opportunities for audit tools and compliance-focused AI solutions.

According to Anthropic (@AnthropicAI), Petri, their open-source platform for automated AI alignment audits, has seen significant adoption by research groups and AI developers since its initial release. The newly launched Petri 2.0 introduces key improvements such as enhanced countermeasures against eval-awareness—where AI systems may adapt behavior during evaluation—and expands its seed set to audit a broader spectrum of AI behaviors. These updates are designed to streamline large-scale, automated safety assessments, providing AI researchers and businesses with a more reliable method for detecting misalignment in advanced models. Petri 2.0 aims to support organizations in proactively identifying risks and ensuring responsible AI deployment, addressing growing industry demands for robust AI safety tools (source: AnthropicAI on Twitter, January 23, 2026).

According to Anthropic (@AnthropicAI), the company initially used a notoriously difficult take-home exam to assess prospective performance engineering candidates. This approach was successful in evaluating human applicants until their advanced AI model, Opus 4.5, managed to solve the exam, prompting a redesign of their assessment process. The blog post details how Anthropic is now focusing on creating AI-resistant technical evaluations, emphasizing the need for tests that both accurately measure human engineering skills and stay ahead of AI capabilities. This development highlights significant implications for AI-driven hiring processes and the broader challenge of designing assessments that distinguish between human and machine performance in technical roles. Source: Anthropic Engineering Blog (anthropic.com/engineering/AI-resistant-technical-evaluations)