Topic
Deepseek
9 episodes
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DeepSeek open sources an agent harness where everything is a plugin
DeepSeek open-sources its agent harness — called dsh — under MIT, built on the Cordis meta-framework where the model adapter, tool registry, and agent loop are all swappable plugins. Justy and Cody dig into what the plugin-everything architecture actually means, who it's for, and whether this signals Chinese AI labs competing on infrastructure rather than just benchmarks.
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AgentRadio boosts AI task accuracy by 92% | VentureBeat
Draco and Asteria dig into AgentRadio, a new async message-passing layer from Coral AI Labs that let four coordinating agents beat a single Claude Opus 4.8 on long-horizon codebase tasks. Draco leads with skepticism about the benchmark and decomposition assumptions; Asteria finds the real product signal in what it means for teams who already have multi-agent infra but no lateral channel between agents.
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Model Behavior: Week of August 3, 2026
We spent this week arguing that the frontier race has quietly turned into a battle for the default, not the smartest model, and we used the price war and agent stacks as our receipts. We’re both a little uneasy about how much power is moving into routing layers and “lifecycle” platforms while everyone pretends it’s just about cheaper tokens.
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Deepseek Model Cheap AI Price War
Jessica and Cathy dig into DeepSeek V4 Flash, the AI price war, and whether “intelligence as a commodity” really holds up once you look at routing, safety, and who actually pays the bills.
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I built Andrej Karpathy's "LLM Council" on my own hardware, and now no single model gets the last word
Jessica and Cathy dig into a local rebuild of Karpathy's LLM Council and land on the real claim: the win is not voting, it's structured synthesis across models with different failure modes. They like the practical adaptation to Ollama on a single twelve-gigabyte GPU, but push on where the article overreaches and where the product value is actually real.
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DeepSeek V4 arrives with near state of the art intelligence at fraction of the cost of Opus 4.7, GPT 5
Justy and Cody unpack DeepSeek-V4, an open-weight MoE model that gets close to top closed models on several practical benchmarks while landing in a much lower price tier. They focus on why cheaper frontier-class inference changes what teams can afford to automate, where DeepSeek still trails GPT-5.5 and Claude Opus 4.7, and what builders can try this weekend.
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2510
AgentFold introduces a new way to manage context in LLM-based web agents, particularly for long-horizon tasks, improving performance through proactive context management, which can significantly benefit developers in various applications.
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Minimax M2 Is the New King of Open Source LLMs Especially for Agentic Tool
The Minimax M2 model emerges as a powerful open-source language model, enabling advancements in AI agents and tool usage, making AI more accessible and efficient for diverse applications.
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Will DeepSeek's new AI model break the 'long context' bottleneck holding back LLMs?
Tech AI Will DeepSeek's new AI model break the 'long-context' bottleneck holding back LLMs? South China Morning Post Wed, October 22, 2025 at 9:30 AM UTC DeepSeek's new artificial intelligence model that converts images into text is not just a document parsing tool but a potential preview of its next generation of large language models (LLMs), according to AI experts.