# DeepSeek
Latest news and articles about DeepSeek
Total: 5 articles found
Red Envelopes as Weapons: China’s Tech Giants Gamble Big to Buy AI Users This Lunar New Year
China’s tech giants are reviving Lunar New Year cash giveaways to accelerate AI app adoption: Tencent’s Yuanbao will distribute 1 billion yuan, Baidu’s Wenxin 500 million yuan, and ByteDance is showcasing its cloud under the Spring Gala. The tactics expose a strategic split—consumer subsidies to buy attention versus infrastructure plays to win enterprise customers—and highlight the fragility of changing user habits with cash alone.
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.
Red-Envelope Arms Race: China’s Tech Giants Make Lunar New Year the Battleground for AI Entrypoints
Chinese tech giants are using traditional Lunar New Year red‑envelope campaigns to fight for dominance over consumer AI entry points, with Baidu and Tencent pledging hundreds of millions to a billion yuan in giveaways. These promotions aim to convert festival virality into long‑term control of AI interfaces and datasets, but they also carry high cost, regulatory and competition risks.
Can Wang Xiaochuan Turn a Medical-AI Bet into an IPO by 2027?
Wang Xiaochuan has repositioned Baichuan Intelligence from a broad generalist-AI play to an all-in bet on medical AI, promising patient-facing decision support and an IPO push in 2027. The company faces steep hurdles: fierce competition from better-resourced incumbents, the high cost and time of clinical validation, regulatory and privacy burdens, and uncertain consumer willingness to pay.
How China and the U.S. Are Steering AI in Different Directions — and Why It Matters
Chinese and U.S. AI strategies are showing meaningful divergence, shaped by different technical philosophies, civilisational values and policy choices. Export controls and governance gaps increase the risk of fragmented standards; embedding ethics and human control into AI systems is urgent to prevent harmful outcomes.