341 related articles

DeepSeek V4 official release is imminent. V4 Pro features 1.6 trillion parameters with million-character context. Explore the D-SPARK acceleration framework, dynamic pricing, and V4's leap to production-grade AI.

Poolside releases its Laguna open-weight model after 18 months of silence, challenging Moonshot's Kimi K3 with 118B vs 2.8T parameters. Can Silicon Valley close the gap with Chinese AI?

Analysis of DeepSeek founder Liang Wenfeng's rare investor dialogue, exploring the company's vision-driven culture, strategic restraint toward AGI, and open-source philosophy in the US-China AI race.

NVIDIA CEO Jensen Huang defends open-source AI, calls distillation legitimate learning, praises DeepSeek and Kimi, and co-signs open letter with 20+ companies while OpenAI and Google stay silent.

NVIDIA CEO Jensen Huang says markets have twice misjudged the impact of DeepSeek and Kimi, arguing Chinese open-source models boost rather than reduce overall AI compute demand.

Deep dive into Moonshot AI's Kimi-K3 technical report, analyzing its long-context processing, MoE architecture, reasoning improvements, and its position in global AI competition.

Deep analysis of Moonshot AI's Kimi-K3 technical report covering long context processing, MoE architecture, reasoning capabilities, and China's position in the global AI competition.

Explore Gemini 3 Flash's core capability: extracting real textures from photos to generate design assets, helping designers and developers build custom creative tools.

Moonshot AI's Kimi-K3 model is set to launch on HuggingFace. A deep dive into its architecture, licensing, community reactions, and strategic implications for the global open-source AI landscape.

Reddit leaks suggest a Google Gemini 3.5 intermediate checkpoint outperformed Claude Opus 5 max thinking in testing. We analyze what checkpoints mean, benchmark credibility, and the LLM competition landscape.

Moonshot AI unveils Kimi K3: a 2.8 trillion parameter, 1M context, natively multimodal open model. With KDA architecture and ultra-low cost, it rivals GPT-5.6 and Fable 5, redefining AI cost-effectiveness.

DeepSeek V4 official release expected mid-July with peak/off-peak pricing; Meituan open-sources trillion-parameter MoE model LongCat 2.0 with million-token context; Cursor launches iOS app. A quick look at the latest AI industry news.

DeepSeek V4 launches mid-July with peak/off-peak pricing; Meituan open-sources trillion-parameter MoE model LongCat 2.0 with million-token context; Cursor debuts iOS app. A quick look at the latest AI industry news.

Facing US chip bans and closed-source monopoly, how do China's open-source AI models keep fighting back? A deep dive into three core paths: open-source pricing games, optical interconnect positioning, and on-device scenarios.

Facing US chip bans and closed-source monopolies, how do China's open-source AI models keep striking back? A deep dive into three core paths: open-source pricing-power games, optical interconnect positioning, and edge-side use cases.

Kimi, Alibaba Qwen, and DeepSeek leverage MoE architecture, home-field data advantages, and the open-source flywheel to close in on OpenAI and Anthropic at ultra-low cost. A deep dive into China's open-source LLM catch-up.

DeepSeek founder Liang Wenfeng systematically explains: a KPI-free culture, 10-month break-even pricing, long-term open-source strategy, continual learning to break the AGI bottleneck, and his prediction of a mature domestic chip ecosystem within a year.

Redis creator antirez built DS4 "Dwarf Star," a pure-C inference engine, using asymmetric quantization to compress DeepSeek V4 Flash from 500GB to 80.8GB for local 128GB unified-memory deployment at 26.7 tokens/sec.

Redis author antirez built the pure-C inference engine DS4 "Dwarf Star," compressing DeepSeek V4 Flash from 500GB to 80.8GB via asymmetric quantization for local deployment on 128GB unified memory at 26.7 tokens/sec.

DeepSeek is reportedly developing its own AI chip, moving from algorithms to hardware to achieve software-hardware co-optimization. An in-depth analysis of its strategic rationale, key challenges, and implications for China's AI industry autonomy.