SenseNova U1 is out on Hugging Face https://
huggingface.co/collections/se
nsenova/sensenova-u1
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LLMS
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SenseNova U1 Model Released on Hugging Face
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Transform any AI model into a senior business strategist with this prompt
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The prompt I use to turn any AI model into a senior business strategist: ———— Prompt: You are a senior management consultant with 20 years of experience across Fortune 500 companies and high-growth startups. I will describe a business challenge. Your job:
1.Ask me 5 -
Anthropic Models More Affected by Language Issue Than OpenAI
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It was known about the language issue. What catches my attention and what I share in the tweet is that this affects Anthropic more than OpenAI's models.
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Running OpenAI 4o and o4 models simultaneously
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I never complain! The peak was when we had 4o and o4 at the same time
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Apple Presents Stochastic KV Routing for Adaptive Cache Sharing
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Apple presents Stochastic KV Routing Enabling Adaptive Depth-Wise Cache Sharing paper: https://
huggingface.co/papers/2604.22
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Nemotron 3 Nano Omni: NVIDIA’s Fully Open Source AI Model
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Built on NVIDIA’s open ecosystem, Nemotron 3 Nano Omni is fully open source, including:
• Open weights
• Open data
• Open recipes Read the blog for more details -
Nemotron 3 Nano Omni: Unified Multimodal Architecture for AI Subagents
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Nemotron 3 Nano Omni was designed for powering subagents. Instead of stitching together separate models for language, vision, and speech, it ties them into a single architecture that more efficiently feeds context to orchestrators.
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Nemotron 3 Nano Omni: Efficient Open Multimodal Model Released
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Meet Nemotron 3 Nano Omni 👋
— NVIDIA AI (@NVIDIAAI) 28 avril 2026
Our latest addition to the Nemotron family is the highest efficiency, open multimodal model with leading accuracy.
30B parameters. 256K context length. 🧵👇 pic.twitter.com/j4SPpU9SaIMeet Nemotron 3 Nano Omni Our latest addition to the Nemotron family is the highest efficiency, open multimodal model with leading accuracy. 30B parameters. 256K context length.
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New Method to Train and Evaluate AI Agents Efficiently
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Vibe train your AI agents. There's a new method that could replace LLM-as-a-judge for production agents. Most teams rely on a giant LLM as a judge to evaluate and guard their agent. But it has two major drawbacks: – It's slow and expensive at inference time
– It often misses -
24GB RAM Model Achieves 150K Token Context Window
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24gb ram 150k context in: about 200
out: screenshot below ↓