I swear DeepSeek open-sourcing everything is some Sun-Tzu shit. America is trying to build trillion-dollar AI monopolies, and China is trying to make that impossible. If the secret recipe to AGI is (eventually) public, the business model changes. Valuations compress.
OPEN SOURCE
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Oracle Open-Sources Blueprints for AI Persistent Memory
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when you find out @Oracle just open-sourced the exact blueprints to give your AI persistent memory https://t.co/rPBc4zsgJu pic.twitter.com/ijb0evYpeX
— Charly Wargnier (@DataChaz) 24 avril 2026when you find out @Oracle just open-sourced the exact blueprints to give your AI persistent memory
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Qwen3 27B Runs Locally Rivaling Claude Opus for Coding Tasks
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This is where we are right now. And i’m not gonna lie it feels pretty magical Qwen3.6 27B running inside of Pi coding agent via Llama.cpp on the MacBook Pro For non-trivial tasks on the @huggingface codebases, this feels very, very close to hitting the latest Opus in Claude
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DeepSeek’s Technical Transparency Sets It Apart
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Besides this, another aspect to value about DeepSeek is its technical reports, where they detail in depth the technical aspects that other labs, by custom, already hide. You have the link here in case you want to take a look:
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DeepSeek V4 Pro: Advanced Open-Weights Language Model Released
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Paper: https://
huggingface.co/deepseek-ai/De
epSeek-V4-Pro/blob/main/DeepSeek_V4.pdf
… Open Weights: -
DeepSeek V4: Largest Open-Source MoE Model Released
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DeepSeek just dropped V4! Two open-source MoE models with 1M context windows under MIT license. DeepSeek-V4-Pro: 1.6T total parameters (49B active per token), pre-trained on 33T tokens. This makes it the largest open-source model available – bigger than Kimi K2.6 (1.1T) and
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DeepSeek V4 Open-Source Model Launches with MIT License
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NEW DEEPSEEK V4! The whale is back And it returns with a model that, at least on paper, measures up to the previous generation of private models – the one from just 2 months ago! Open-source models with an MIT license and a much more affordable price per API
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DeepSeek Image Support Anticipation for Non-Preview Version
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I hope the non-preview gives us image support! 🙂 Then DeepSeek would be amazing…
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DeepSeek-V4 Introduces Advanced Attention Techniques for Million Token Context
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"DeepSeek-V4 Technical Report" A 58 page paper with brand new attention techniques: Heavily Compressed Attention (HCA) & Compressed Sparse Attention (CSA). This hybrid attention setup enables V4 to hit 1 million context. DeepSeek-V4-Pro is now the largest OS model ever, with
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DeepSeek V4 Paper Release Announcement
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Check out the full paper here! https://
alphaxiv.org/abs/deepseek-v4