Deepseek News & Updates

Your central hub for AI news and updates on Deepseek. We're tracking the latest articles, discussions, tools, and videos from the last 7 days.

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9 news
9 posts
1 tools
2 videos
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Fyra Fyra's Brief

DeepSeek released two powerful AI models, DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, matching the capabilities of GPT-5. These models can be used for free under an open-source MIT license.

Why it matters

DeepSeek's release of two powerful AI models that can match the capabilities of GPT-5 marks a significant development in the field of AI and challenges the dominance of American technology giants.

Fyra Fyra's Brief

Mistral releases a family of 10 open-source AI models, including Mistral Large 3 and Ministral 3, designed to run on laptops, drones, and edge devices, prioritizing flexibility, efficiency, and distributed intelligence.

Why it matters

Mistral's focus on open-source AI models and distributed intelligence positions it as a significant player in the AI landscape, challenging the dominance of large-scale cloud-based AI systems.

Fyra Fyra's Brief

Arcee releases Trinity Mini and Trinity Nano Preview, two open-source AI models under Apache 2.0 license, aiming to regain U.S. control in open-source AI development.

Why it matters

Arcee's release of Trinity models marks a significant attempt to regain U.S. control in open-source AI development, potentially challenging Chinese research labs that have dominated the field.

What to be thankful for in AI in 2025

venturebeat.com venturebeat.com ·
Fyra Fyra's Brief

Notable AI releases and advancements in 2025 included OpenAI's continued growth, China's open-source wave, and growth of local models.

Why it matters

The 2025 AI landscape saw significant developments in open-source models, local models, and advancements in generative AI from OpenAI, but remains diverse and complex.

Fyra Fyra's Brief

University of Science and Technology researchers developed Agent-R1, a new reinforcement learning (RL) framework for large language models (LLMs) that addresses challenges in complex agentic tasks.

Why it matters

The Agent-R1 framework is a significant step forward in developing LLM agents capable of complex tasks, and it has the potential to improve the use of AI in real-world applications.

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