DeepSeek in the AI press

7 stories about DeepSeek, Mon, 17 Aug 2026 to Wed, 19 Aug 2026, summarised from the 4 AI newsletters that covered them.

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2 of 24 covered it

Two open-source AI development tools released

Miles, a reinforcement learning framework developed with 72 contributors over nine months, became available for training language models like Kimi K3 and DeepSeek V4. Mojo, a programming language for GPU computing, released version 1.0 and open-sourced its compiler under Apache 2 license after shifting away from full Python compatibility.

Latent SpaceSimon Willison
2 of 24 covered it

Miles v0.1 open-source tool enables large-scale AI model improvement

Miles v0.1 is an open system for improving AI models after initial training through reinforcement learning, a technique where models learn by trial and error. The system handles multiple technical challenges simultaneously: running parallel experiments, isolating code safely, training asynchronously, and working across different hardware setups.

TLDR AILatent Space

Open-source Qwen model reaches top-tier AI capability levels

Alibaba's Qwen3.8-27B open model scored at performance levels matching DeepSeek V4-Pro and GPT-5.6 Luna on standard tests. The model is reportedly the first openly available model to reach capability tiers previously associated with proprietary frontier models.

Latent Space

Alibaba's smaller Qwen model matches larger competitors on benchmark

Alibaba's Qwen 3.8 27B model scored 52 on the Artificial Analysis Intelligence Index, a standardized test of AI capability. This smaller model matched GPT-5.6 Luna and came close to much larger models like GLM-5.2 and DeepSeek V4 Pro.

Simon Willison

Alibaba's Qwen model matches advanced AI performance locally

Alibaba released Qwen3.8-27B, a locally-runnable model scoring at the same capability level as DeepSeek V4-Pro and GPT-5.6 Luna on Artificial Analysis Intelligence Index benchmarks. The model can run on personal computers or private servers without sending data to external companies, unlike cloud-based alternatives.

Latent Space

Alibaba's Qwen 3.8-27B matches top-tier model performance locally

Qwen 3.8-27B, a model from Alibaba that runs on personal computers, scores as high as DeepSeek V4-Pro and GPT-5.6 Luna on the Artificial Analysis Intelligence Index benchmark. This is the first time a locally-deployed model of this size has matched frontier model performance on that benchmark.

Latent Space

Grok 4.6 and DeepSeek v4 Pro models released

Grok 4.6, made by xAI, scored 61 on the AA Intelligence Index, a benchmark measuring reasoning ability. DeepSeek, a Chinese AI company, released v4 Pro alongside the Grok update.

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