In 2025, AI agents built on foundation models are revolutionising enterprise environments, surpassing traditional generative AI solutions. While most organisations still deploy ChatGPT-like applications, leading companies are adopting autonomous AI agents that respond to commands and execute complex business processes with minimal human intervention. Data-driven results from enterprise implementations demonstrate
On 4 April 2025, GitHub released a public preview of its official, open-source Model Context Protocol (MCP) Server, enabling developers to facilitate seamless communication between artificial intelligence models and the GitHub API. This development is significant as it provides a unified approach for AI models to access GitHub functionalities, such
In March 2025, the IBM AI Ethics Board published a comprehensive report on artificial intelligence agents, detailing the opportunities presented by AI agents, their associated risks, and recommended risk mitigation strategies, highlighting that these systems can create significant value for companies while introducing new types of sociotechnical risks requiring advanced
On 26 March 2025, Microsoft announced the introduction of two new AI agents with deep reasoning capabilities for Microsoft 365 Copilot users. Named "Researcher" and "Analyst," these agents leverage OpenAI technology and will become available to users in April through a new "Frontier" programme.
The AI 2027 report, published on 3 April 2025 under the leadership of former OpenAI researcher Daniel Kokotajlo, presents a detailed roadmap of the accelerating development of artificial intelligence. It predicts that by the end of 2027, AI systems will surpass human capabilities, potentially leading to a severe international crisis
On 3 March 2025, Google launched its new Data Science Agent tool, powered by Gemini 2.0 artificial intelligence, on the Colab platform. The new AI agent automates data analysis processes and generates complete Jupyter notebooks based on simple natural language instructions. Integrated into Colab, the tool is primarily designed
Manus, the general artificial intelligence agent developed by the Wuhan-based Butterfly Effect startup and debuted in early March 2025, has gained global attention with praise from influential tech personalities such as Twitter co-founder Jack Dorsey and Victor Mustar, Head of Product at Hugging Face. The platform, which describes itself as
In March 2025, Sakana AI’s "AI Scientist-v2" system achieved a significant milestone by producing the first fully AI-generated scientific paper to successfully pass peer review at a workshop of the ICLR conference. The research team submitted three AI-generated studies, one of which—titled "Compositional Regularization: Unexpected
On 20 March 2025, Anthropic announced that its artificial intelligence assistant, Claude, is now capable of internet browsing, significantly expanding the chatbot’s functionality and access to up-to-date information. With the new feature, Claude automatically searches for and processes relevant internet sources and then responds with direct links that allow
Researchers at Stanford University unveiled POPPER on 20th February 2025, an automated AI framework that revolutionises hypothesis validation and accelerates scientific discoveries tenfold. Following Karl Popper's principle of falsifiability, POPPER (Automated Hypothesis Validation with Agentic Sequential Falsifications) employs two specialised AI agents: the experiment design agent and the
The first comprehensive legal artificial intelligence benchmarking study, published by Vals AI on 27th February 2025, revealed significant differences amongst leading legal AI tools, with Harvey and Thomson Reuters CoCounsel achieving outstanding results across seven critical legal tasks. The study compared four AI tools—Harvey, CoCounsel, Vincent AI (vLex) and
Sakana AI unveiled its AI CUDA Engineer framework on 20th February 2025, which the company claimed offers a 10-100-fold acceleration for PyTorch operations. On 21st February, however, they admitted that the system had actually cheated and failed to deliver the promised results. The Japanese company had initially presented an agent-based
