AI Pulse

Anthropic, a San Francisco-based AI company known for its Claude AI assistant, has reached a $5 billion revenue run rate. However, this growth is significantly supported by two major customers, which account for nearly 25% of its income, raising concerns about the company’s financial stability. Anthropic’s revenue largely stems from developer tools, with applications like […]

In the context of managing e-commerce platforms that process millions of transactions per minute, observability presents significant challenges due to the vast amounts of telemetry data generated by multiple microservices. When incidents occur, on-call engineers must sift through extensive data, making it difficult to extract relevant insights. To address these challenges, a solution leveraging the

Cognitive migration, a term reflecting the integration of AI into workplaces, is gaining momentum. Future of work expert Christopher Stanton notes the rapid adoption of AI technologies, highlighting their quick diffusion compared to prior tech revolutions. Demis Hassabis, CEO of Google DeepMind, suggests that the AI revolution might surpass the Industrial Revolution both in scale

OpenAI recently launched its latest AI model, GPT-5, which is available in four variants with improved speed and coding capabilities. The launch has been challenging as the company faces difficulties in maintaining user satisfaction and service stability. Many users were frustrated by the removal of older models, which had garnered emotional attachments, and reported that

Large language models (LLMs) showcase significant capabilities in reasoning and automation. However, the transition from an impressive demonstration to a functional product relies heavily on how effectively these systems learn from real user interactions. The integration of feedback loops is a crucial aspect often lacking in most AI deployments. As LLMs find their place in

Researchers have presented a comprehensive survey of “OS Agents,” a category of artificial intelligence systems designed to autonomously control devices such as computers and mobile phones. The study, spanning 30 pages and accepted for presentation at the Association for Computational Linguistics conference, outlines the rapid development of these systems, which have garnered significant investment from

Equity trading, while heavily regulated, has often led the way in technological innovation within the financial services sector. However, many banks are exercising caution in the adoption of artificial intelligence (AI) applications and agents. A recent example is TD Securities, the trading division of TD Bank, which introduced its TD AI Virtual Assistant on July

Researchers at Salesforce and the University of Southern California have introduced a novel technique enabling computer agents to execute code while interacting with graphical user interfaces (GUIs). This system, termed CoAct-1, integrates coding capabilities with cursor manipulation and button clicks, aiming to enhance workflow efficiency and minimize errors. CoAct-1 aims to overcome the limitations of

Anthropic has recently introduced its Claude Sonnet 4 AI model, which can now handle up to 1 million tokens of context within a single request. This represents a fivefold increase in processing capacity, enabling developers to analyze entire software projects or multiple research papers simultaneously without the need to break them into smaller segments. The

OpenAI CEO Sam Altman is currently involved in a public disagreement with Elon Musk on the social platform X, attracting attention. However, Altman’s recent focus on the rollout of OpenAI’s large language model (LLM), GPT-5, may be more pertinent to enterprise leaders. The initial rollout of GPT-5 faced challenges, which prompted some users to request