¡Sorteamos 3 copias de Obakeidoro 2 para Nintendo Switch o Nintendo Switch 2!
1⃣ Sigue a @Nintenderos y @Obakeidoro_en
2⃣ RT aquí
¡Suerte! - https://t.co/STI8jlDlii
Created in celebration of Quake's 30th anniversary, a new free episode, Dawn of the Machine, is available now!
Building on @MachineGames' acclaimed work on Dimension of the Machine and Dimension of the Past, it delivers ferocious combat, labyrinthine level design, and nightmarish new realms to explore.
📢Meet Qwen3.8-Max — our most capable model to date.
Next week, the open weights of Qwen3.8-Max will be released, and Qwen3.8-27B is also going open-weights to meet you all!🎉
Qwen3.8-Max, a new bar for coding and cowork at 2.4T parameters:
- Autonomous coding: 10+ days of self-evolving development, from empty folder to production without hand-holding, complete project trace in the GitHub:https://t.co/iVHZWQoeSo
- Real work, real results: Production-quality deliverables across hundreds of professions.
- Long-horizon mastery: System-level autonomous planning with closed-loop adaptive learning, driving 500+ turns of chip design optimization and 365 days of e-commerce strategy.
- Native multimodal intelligence: Vision isn't just input — it's a continuous feedback loop for planning, execution, and self-correction.
💰Pricing:
Input: $2.0 / M tokens
Output: $6.0 / M tokens
Implicit Caching: $0.25 / M tokens
Start building with Qwen3.8-Max! 🚀
📖 Blog: https://t.co/iwjmQxLBof
✅ Qwen Studio: https://t.co/4V2pFvDovG
⚡ API: https://t.co/gAGqaLQGbN
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta!
🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇
🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex!
Check out the configuration details in our official API docs: https://t.co/smCwQZMeiq
We've open-sourced MoonEP, our high-performance communication library for distributed MoE workloads.
Built to make expert-parallel communication more efficient at scale, MoonEP helps reduce communication overhead in large MoE training and inference systems.
Explore on GitHub:
https://t.co/h2Rcwg88dQ
Releasing the model weights and technical report of Kimi K3.
Kimi K3 is our most capable model: a 2.8T MoE model with native visual understanding and a 1M-token context window.
New model architecture: 2.5x the intelligence per unit of compute, not just more params.
Alongside Kimi K3, we're opening up more of the stack behind it — high-performance attention kernels, MoE communication library, and infrastructure for running agent environments at scale.
Model weights: https://t.co/7m7eEg6Y0B
Tech report: https://t.co/yeu6cjpMCT
Tech blog: https://t.co/YTfiMSNM1f
Skip the coffee. We'll bring the tea.
SOC talk. Run it, build it, or improve it. Three models, one hour.
📅August 4, 16:00 CEST. Register and join us.
https://t.co/8ykRndLu8Y
#SOC#Cybersecurity
Introducing Unsloth for AMD 🚀
You can now train & run LLMs on your AMD hardware
• We collaborated with AMD to enable you to train & run 500+ models on AMD GPUs
• Works on Windows, WSL, Linux
• Train Qwen, Gemma on 3GB VRAM
GitHub: https://t.co/2kXqhhvLsb
Works on Radeon, Instinct, Ryzen and data center GPUs with up to 2× faster with 70% less VRAM and no accuracy loss via our custom Triton kernels and math algorithms. We also support optimized ROCm builds for GGUF & Safetensors inference.
Unsloth is an open-source local UI for faster LLM training and inference, with tool-call healing, code execution, secure web search, remote APIs, and HTTPS deployment. Connect local models to Claude Code, Codex agents and run the latest Kimi, GLM, DeepSeek, Qwen3.6, and Gemma 4 models.
🔗Blog + Guide: https://t.co/U9LqyRjFdj
¡Esto es histórico! NVIDIA, Microsoft, Mozilla y Linux Foundation, entre otras, han firmado una carta a favor de los modelos de pesos
abiertos.
Defienden que abrir la IA es CLAVE para competir, reducir costes, evitar depender de unas pocas empresas y mejorar la seguridad.
Y dejan otro mensaje importante: usar las respuestas de un modelo para entrenar otro mediante destilación es una práctica legítima y habitual. NO debería considerarse automáticamente un robo.
Y la frase más bestia: “Depender únicamente de modelos cerrados no es intrínsecamente seguro.”
BOOM.
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🎊 Celebrate the Revenge Edition Launch! 🎊
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1 lucky winner will receive a PlayStation®5 Pro!🎮
How to enter:
✅ Follow @FATALFURY_PR
✅ Repost this post
#CotW#FatalFury