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🚀 DeepSeek-R1 is here!
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!
🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today!
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2.61M views
🚀 Introducing NSA: A Hardware-Aligned and Natively Trainable Sparse Attention mechanism for ultra-fast long-context training & inference!
Core components of NSA:
• Dynamic hierarchical sparse strategy
• Coarse-grained token compression
• Fine-grained token selection
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1.59M views
🔥DeepSeek Input Cache Price Drop!
Effective immediately, the price for input cache hits across the ENTIRE DeepSeek API series is reduced to just 1/10th of the original price! Build more efficiently for less.
📌Reminder: The DeepSeek-V4-Pro 75% OFF promotion is still active
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🔥 Top post: 🚀 DeepSeek-R1 is here! ⚡ Performance on par with OpenAI-o1 📖 Fu · 12.54M views
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🔥 Top post
🚀 DeepSeek-R1 is here!
⚡ Performance on par with OpenAI-o1
📖 Fully open-source model & technical report
🏆 MIT licensed: Distill & commercialize freely!
🌐 Website & API are live now! Try DeepThink at https://t.co/v1TFy7LHNy today!
🐋 1/n
🔥DeepSeek Input Cache Price Drop!
Effective immediately, the price for input cache hits across the ENTIRE DeepSeek API series is reduced to just 1/10th of the original price! Build more efficiently for less.
📌Reminder: The DeepSeek-V4-Pr…
🚀 Introducing DeepSeek-V3.2-Exp — our latest experimental model!
✨ Built on V3.1-Terminus, it debuts DeepSeek Sparse Attention(DSA) for faster, more efficient training & inference on long context.
👉 Now live on App, Web, and API.
💰 AP…
Introducing DeepSeek-V3.1: our first step toward the agent era! 🚀
🧠 Hybrid inference: Think & Non-Think — one model, two modes
⚡️ Faster thinking: DeepSeek-V3.1-Think reaches answers in less time vs. DeepSeek-R1-0528
🛠️ Stronger agent…
🚨 Off-Peak Discounts Alert!
Starting today, enjoy off-peak discounts on the DeepSeek API Platform from 16:30–00:30 UTC daily:
🔹 DeepSeek-V3 at 50% off
🔹 DeepSeek-R1 at a massive 75% off
Maximize your resources smarter — save more during…
🚀 Day 3 of #OpenSourceWeek: DeepGEMM
Introducing DeepGEMM - an FP8 GEMM library that supports both dense and MoE GEMMs, powering V3/R1 training and inference.
⚡ Up to 1350+ FP8 TFLOPS on Hopper GPUs
✅ No heavy dependency, as clean as a t…
🚀 Day 2 of #OpenSourceWeek: DeepEP
Excited to introduce DeepEP - the first open-source EP communication library for MoE model training and inference.
✅ Efficient and optimized all-to-all communication
✅ Both intranode and internode suppo…
🚀 Day 1 of #OpenSourceWeek: FlashMLA
Honored to share FlashMLA - our efficient MLA decoding kernel for Hopper GPUs, optimized for variable-length sequences and now in production.
✅ BF16 support
✅ Paged KV cache (block size 64)
⚡ 3000 GB/…
🚀 Day 0: Warming up for #OpenSourceWeek!
We're a tiny team @deepseek_ai exploring AGI. Starting next week, we'll be open-sourcing 5 repos, sharing our small but sincere progress with full transparency.
These humble building blocks in ou…
💡 Facts
🕵️ Fake follower check
Estimated- Est. 75% real, active audience · Medium fake-follower risk.
- Engagement (~1.7× of followers engage each post) is around typical for X.
- Verified account.
- 1.73% engagement — below the ~10.8% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
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🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
Football on TNT Sports
17%
Fitz
16%
Rajesh Ranjan Pappu Yadav
15%
Elton John
15%
Heath Hussar
13%
ABC7 Eyewitness News
10%
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