# Kimi
Latest news and articles about Kimi
Total: 4 articles found
China’s Kimi Rockets to a $10–12bn Valuation After Two Rapid Funding Rounds Exceeding $1.2bn
Kimi, a Chinese AI startup also known as Yue Zhi Anmian, has raised over $700 million in a new funding round led by existing investors, bringing two consecutive financings to more than $1.2 billion and valuing the company at $10–12 billion. The deals signal strong investor appetite for large AI models in China and a scramble by tech giants to secure model supply, but commercialisation and regulatory risks remain significant.
OpenClaw’s Viral Rise Signals a New Age for Cheap, Deployable AI Agents — and New Risks
OpenClaw, an open‑source agent platform created by Peter Steinberger, has gone viral by turning chat messages into executable commands across multiple model APIs, accelerating demand for inexpensive, high‑throughput models and simple local hardware like the Mac Mini. The surge highlights opportunities for Chinese model providers such as Minimax and Kimi, while raising acute security, deployment and governance challenges.
Yang Zhilin Steps Forward: Moon’s Dark Side Ships Kimi K2.5 to Buy Time Against DeepSeek
Moon’s Dark Side released Kimi K2.5 with founder Yang Zhilin personally presenting the incremental upgrade, signalling a strategic shift from parameter-led competition to engineering improvements focused on coding and agent orchestration. The release is a defensive, deliverable move to shore up market position ahead of an expected DeepSeek model launch and to buy time for a more substantive K3 upgrade.
China’s Kimi Says Algorithmic Ingenuity, Not Massive Compute, Powered Its Leap — and the AI Race May Be Changing
At Davos, Kimi’s leadership said it achieved state‑of‑the‑art results with its K2 series while using a fraction of the compute typical of leading US labs, crediting deep algorithmic and engineering innovation. The company plans to use fresh capital to expand hardware for a next‑generation K3 model, underscoring a broader Chinese push to compete via efficiency rather than brute‑force compute.