Imagine a 400 billion-parameter behemoth that sips compute like a 13B lightweight. Arcee AI's Trinity Large Thinking just hit #2 on PinchBench, proving open-source can hang with Claude in agent land.
Picture this: a 120 billion parameter model that only wakes up 12 billion at a time, now chilling serverless on AWS. NVIDIA's latest Nemotron drop promises agentic wizardry—but who's cashing the real checks?
Alibaba's Qwen 3.5 just dropped a 397B MoE monster that's neck-and-neck with GPT-4o. But the real game-changer? Tiny models for your phone that still pack a punch.
January's Mixtral 8x7B proved sparse MoEs can outpace dense giants like Llama 2 70B. Six papers from H1 2024 reveal smarter paths forward, not just bigger models.
Your next AI breakthrough hides in this 2024 paper list. Forget Netflix; dive into ideas that could redefine work, create, live.
Seven years post-GPT, LLMs look suspiciously similar. DeepSeek V3's bells and whistles? Mostly hype. Here's why evolution feels like a stall.
NVIDIA just dropped its punchy Nemotron 3 Nano on Amazon Bedrock, promising agentic AI without the infra hassle. But after 20 years watching Valley smoke, I'm asking: efficiency for whom?
Everyone figured AI needed specialist models for chat, math, code, and pics. Mistral Small 4 says hold my beer: one fat MoE does it all. Deployment just got simpler. Or did it?