DeepSeek is a Chinese AI research laboratory that has developed highly capable open-source language models including DeepSeek-V3 and DeepSeek-R1, notable for their efficiency and performance.
A developer discovered that an AI-generated design document contained an arithmetic error that was faithfully reproduced by AI implementation and review tools, leading to incorrect calculations in a s…
Defense contractor Booz Allen Hamilton found that Chinese AI models, including Alibaba's Qwen3-Coder, MiniMax M2.5, and DeepSeek V4-Pro, generated up to 130% more vulnerable code when prompted with a …
New research reveals that AI models do not invent fake names at random but often converge on the same plausible lies, creating a security and compliance risk. Studies found that code-generating LLMs h…
Open-multi-agent, a TypeScript framework, introduces a coordinator agent that automatically decomposes a user's goal into a task DAG, assigns tasks to team agents, runs independent tasks in parallel, …
Z.ai released GLM-5.2, which was tested against OpenAI's GPT-5.5 and DeepSeek V4-Pro on 18 coding tasks, with results published on Towards AI.…
DeepSeek raised $7.4 billion in its first external funding round, valuing it above $50 billion, but the deal structure gives China's National Artificial Intelligence Industry Investment Fund direct eq…
An analysis of frontier AI model release cadence shows Anthropic and OpenAI accelerating their release rates since 2023, while Google, Meta, and DeepSeek have not. The pattern is consistent with a for…
A new open-source tool called cc-fleet enables Claude Code to use third-party large language models as workers, allowing users to run models from providers like DeepSeek, GLM, Kimi, and Qwen within Cl…
DeepSeek raised $7.4 billion in Series A funding led by Tencent, with CATL as a major investor, signaling a shift in Chinese AI funding toward non-ecosystem players as Alibaba and ByteDance sat out. T…
A developer confirmed that GLM-5.2, a 753B-parameter DeepSeek-Sparse-Attention MoE model, runs on 8x A100 80GB GPUs using vLLM PR #38476, which adds a Triton sparse-MLA backend for Ampere architecture…
A developer argues that token optimization for LLM costs is a context engineering problem, not just prompt shortening. By instrumenting token usage and analyzing cost distributions, teams can reduce b…
Chinese AI developers are slashing compute costs by up to 97% through architectural innovations like sparse MoE and FP8 training, reshaping global AI pricing under US export controls. DeepSeek trained…
ByteByteGo's newsletter highlights 12 open-source LLMs worth knowing in 2026, including Llama 4 Scout, DeepSeek V4, Qwen3, Gemma 4, Phi 4, Mistral Small 3.1, Nemotron 3 Super, GLM 5.1, Kimi K2.6, Star…
A developer's guide details how multi-agent AI systems outperform single large language models on complex tasks by 30-60%, using orchestration patterns like manager-worker, pipeline, and ensemble. The…
A developer running a production LLM pipeline that scores 10,000+ job listings daily shares a three-layer fallback chain architecture to handle silent failures from AI providers. The system uses prima…
The cost of running a capable AI model fell by roughly 280 times between November 2022 and October 2024, yet the average company's AI bill rose more than 300% over the same period. The paradox arises …
A developer argues that relying on a single AI model for all tasks is suboptimal, comparing it to using a hammer for a screw. The piece profiles seven major AI models—ChatGPT, Claude, Gemini, DeepSeek…
Chinese AI company DeepSeek raised approximately $7.4 billion in its first external funding round on June 16, 2026, at a valuation between $52 billion and $59 billion. Founder Liang Wenfeng contribute…
AIWave has launched a platform that provides a single API endpoint to access over 50 Chinese AI models from eight providers, including DeepSeek, Zhipu, and Alibaba, without requiring code changes. The…
OpenAI published research on using AI to help diagnose rare genetic diseases in children, emphasizing the model's role in narrowing diagnostic search space rather than replacing physicians. Anthropic …