Meet DeepSeek-V3 — the 671 billion parameter beast that’s making OpenAI and Anthropic nervous 👀

👀

🧠 It’s:
✔ Faster
✔ Cheaper ($5.6M training vs $60M+)
✔ More accurate on key tasks like coding, math, and comprehension
✔ Open-source + MIT licensed
✔ Deployable across NVIDIA, AMD & Huawei

📊 Performance Highlights:
🔹 MMLU: 88.5%
🔹 HumanEval: 82.6%
🔹 DROP: 91.6
🔹 MATH-500: 90.2%
🔹 Chinese C-Eval: 86.5%

But wait... ⚠️

🚨 Your data goes to Chinese servers.
🚨 It dodges politically sensitive questions.
🚨 It’s already being banned by gov agencies for “privacy risks.”

So is it the best LLM of 2025 or a privacy nightmare?

📥 Read the full analysis report here → https://deepseekagi.org/deepseek-v3-architecture/

💬 Drop your thoughts in the comments 👇
#DeepSeekV3 #AIRevolution #GPT4 #Claude3 #OpenSourceAI #AIComparison #MoE #FP8 #FutureTech #FacebookAI #LLMBattle

DeepSeek‑V3: Architecture, Performance, and Deployment - DeepSeek AGI

DeepSeek‑V3 is a Mixture-of-Experts (MoE) Transformer with 671 billion total parameters (only ~37B “active” per token)

DeepSeek AGI - DeepSeek AGI: AGI News, Tools & AI Model Comparisons