Large Language Models
LLM-specific news — GPT, Claude, Gemini, Llama releases and updates
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Why MoE Models Can Outrun Dense Models Without More Parameters
Parameter count no longer tells the whole performance story. Dense and Mixture-of-Experts models can carry similar total weights yet perform…
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DeepSeek’s New Flash Model Shrinks the Cost of Long Context
DeepSeek released V4.1-Flash on September 14, 2026, introducing a model built around one central goal: making long-context artificial intelligence cheaper…
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GPT-6 Astra Raises the Stakes for AI Capability and Control
GPT-6 Astra has entered the world. OpenAI has begun a phased rollout of its newest model, calling it state of…
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GPT-6 Astra Brings AGI Claims and Serious Oversight Problems
OpenAI has released GPT-6 Astra. The company calls it “the most intelligent and aligned model in the world,” with computer-use…
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Perplexity’s Lily Brings Fast Local AI to Apple Silicon Macs
Perplexity has open sourced Lily, a Rust and Metal inference engine built for Qwen3.6-35B-A3B on Apple silicon. The project powers…
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Why Quantization Makes Giant Language Models Fit at Home
The model fits nowhere. A team can fine-tune a model for three weeks, get the evaluation numbers it wanted, and…
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The Memory Math Behind Smaller Local Language Models
Big models hit the wall at deployment. A team can fine-tune a model for three weeks, get the evaluation numbers…
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A Single GPU Can Now Run a 753B Language Model
Researchers from UC Berkeley and UT Austin have developed FreeToken, an edge-native MoE serving engine built to run large language…
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FreeToken Brings Massive AI Models to a Single GPU
Running a 753B-parameter language model on one workstation GPU sounds like a job for a data center. FreeToken, an Edge-Native…
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How FreeToken Brings Giant AI Models to Personal GPUs
Running a huge language model usually means sending requests to a remote data center. FreeToken takes a different path: the…
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