DeepSeek V4 Pro, which anyone can drop but no one can move, is now officially available.
Weights are published at MIT👇 ✅Even the lightest 4bit is about 830GB ✅The reality of being filled with storage alone ✅It is difficult to handle it by yourself even in Mac Studio Being publicly available and being able to move are two different things.
Checks your RAM, CPU, GPU and VRAM in the browser and grades every open-weight model against your hardware before you download anything.
→ Scores each model for fit, speed and context length → Grades every quantization level from Q4_K_M to Q8_0 →
Route Claude Code subagents to DeepSeek Flash
"anthropic_default_opus_model": "lead" "claude_code_subagent_model": "worker"
OpenAI just revealed the first benchmark numbers for Jalapeño, their custom AI inference chip
And they used their own AI models to help design it 1.5 to 1.9x more AI work per watt. 1.7 to 3.6x lower latency. 2.1 to 4.1x higher performance on interactive workloads. tested on
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