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.
DeepSeek released DeepSeek Harness v0.1, an MIT-licensed, Node.js-based agent runtime now in developer preview on GitHub, where it surpassed 30,000 stars within hours. The harness makes the agent loop…
DeepSeek, the Hangzhou-based AI startup, will raise API prices by up to 1,100% starting August 16 at 16:00 UTC, with increases ranging from 50% to over 1,100% across its V4-Flash and V4-Pro models, ci…
DeepSeek has open sourced an agent harness where everything is a plugin, enabling developers to build and customize AI agents with modular components. The release aims to provide a flexible framework …
DeepSeek's V4-Pro-0813 model repository is causing runtime errors during deployment due to a mismatch between the config.json and the .safetensors weights, as reported by a user attempting to load the…
DeepSeek launched DeepSeek Harness, an MIT-licensed open-source agent harness for building coding agents, and upgraded its V4-Pro model with enhanced agent capabilities, while raising V4-Pro API price…
A new analysis by The Next Platform's Timothy Prickett Morgan argues that for critical applications like medical imaging, fully open source AI models such as Nvidia's Nemotron 3 are preferable to clos…
A Brennan Center for Justice study found that major AI chatbots, including ChatGPT, Gemini, Grok, Claude, Perplexity, and DeepSeek, consistently disputed election conspiracy theories when challenged, …
Chinese AI lab DeepSeek released DeepSeek-V4-Pro, its latest AI model, now out of preview with benchmark gains, as the company raises prices amid a multi-billion-dollar funding round. The price increa…
Cordis, a project by the cordiverse organization, has released a paper titled 'Cordis – DeepSeek Harness Plugin Architecture' as a PDF on GitHub, detailing a plugin architecture for the DeepSeek harne…
DeepSeek announced on August 6 that it will raise API prices for its V4 model lineup, with the V4-Pro output token price during peak hours climbing to $3.96 per million tokens from $0.87, a 4.5x incre…
DeepSeek released Harness v0.1, an open-source agent runtime framework under the MIT license, to turn its V4 series models into autonomous coding agents. The developer preview, led by Cui Tianyi, posi…
DeepSeek launched the developer preview of DeepSeek Harness, an open-source agent harness built on Cordis's plugin system, with source code available on GitHub. The harness treats every capability—mod…
DeepSeek released DeepSeek Harness v0.1 in Developer Preview, an open-source agent harness under the MIT license, powered by the Cordis meta-framework, with all components implemented as plugins. The …
DeepSeek has released its V4 Pro model with 1.6 trillion total parameters and 49 billion active per token, now generally available under an MIT license across its web platform, mobile app, and API. Th…
A developer built a model catalog drift monitor for OpenAI-compatible Chinese AI APIs, designed to catch changes in model names, context windows, output limits, and pricing before they cause incidents…
Anthropic's support page states that users own Claude's outputs but its Terms of Service prohibit using those outputs to train models competitive with Anthropic, a restriction enforced through account…
Chinese artificial intelligence startup DeepSeek on Thursday formally released its official V4 Pro model, aiming to regain ground against fast-moving domestic rivals as it expands hiring, computing ca…
DeepSeek announced new peak/off-peak pricing for its DeepSeek-V4-Flash and DeepSeek-V4-Pro models, effective August 17, 2026, with off-peak input (cache miss) prices at 1.5 yuan and 4.5 yuan per milli…
DeepSeek is raising prices for its flagship V4 models by more than four times, with new peak-hour pricing taking effect Aug. 16. The Hangzhou-based AI lab will charge $1.32 per 1 million output tokens…
DeepSeek released V4 Pro, a 1.6 trillion parameter mixture-of-experts model with 49 billion active parameters and a 1 million token context window, priced at $0.435 per million input tokens and $0.87 …