Qwen
Alibaba's model family accused of distillation
Episodes
- #6068: Chinese AI Models: Refusing vs. ReframingNew studies show Chinese AI models have shifted from refusing sensitive questions to answering them — in the Party's voice.
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#5853: Who Actually Competes With Hugging Face?2.96 million model repos, and 85.6% have under 200 downloads. What ModelScope, Kaggle, and Ollama actually do differently. -
#5301: Why Talking Robots Are Really a CommitteeThat humanoid chatting while it moves? It's not one brain — it's a stack of separate models glued together. -
#5118: Model Identity Fraud: Distillation or Data Contamination?When AI models lie about who they are, is it stolen knowledge or just contaminated training data? -
#4822: Cloud-Local AI Hybrid: Does It Actually Work?Can you pair Claude's reasoning with a local Qwen 7B for savings? The gap is wider than you think. -
#4505: What DeepSeek's Training Data Reveals About Model VoiceWhy Chinese AI models trained on 60% English still produce dialogue that feels distinctively different. -
#3596: Why an AI Model Kept Calling Itself Sonnet 4.6When a Chinese model insists it's "Sonnet 4.6," is it theft, sloppy training, or something stranger? -
#2517: How Unsloth Makes LLM Fine-Tuning 2x FasterUnsloth cuts memory usage by 50-70% and speeds up training 2.2x for models like Llama 3 and Mistral. -
#2410: How Researchers Actually Measure Censorship in Chinese LLMsBeyond headlines: the actual benchmarks, methodologies, and pitfalls in detecting political refusal in Chinese language models. -
#2377: Is Geopolitical Neutrality a Sustainable AI Strategy?How DeepSeek carved a niche with efficiency, neutrality, and innovative dialogue handling — and what it means for AI's future. -
#2306: Can LLM Councils Truly Capture Diverse Worldviews?Exploring whether LLM councils can achieve genuine worldview diversity or if alignment processes erase meaningful differences. -
#2092: Why AI Thinks You're American (Even When You're Not)Even when we tell Gemini we're in Jerusalem, it defaults to US-centric assumptions. We explore the root causes of this persistent AI bias. -
#2074: Generative Social Science: When AI Agents Develop Theory of MindSee how a new framework models 10,000 virtual citizens to test policies before spending a dime. -
#2067: MoE vs. Dense: The VRAM NightmareMoE models promise giant brains on a budget, but why are engineers fleeing back to dense transformers? The answer is memory. -
#1858: Multi-Model Agents: The Instruction & Context GapMixing AI models creates chaos. Learn the practical fixes for context windows, tokenization, and output formats. -
#1679: Efficiency Over Scale: How Export Controls Forced a Smarter AIDeepSeek and MiMo are topping developer charts, but they're not just cheaper clones. Here's why their design philosophy is fundamentally different. -
#1498: The Multi-Player Shift: Sharing One AI BrainStop copy-pasting prompts. Explore how shared "multi-player" AI is turning solitary chatbots into collaborative team members. -
#130: How to Spot Gamed Benchmarks in Chinese AIAre Chinese AI models actually beating the West, or just gaming the system? Herman and Corn dive into the reality of modern AI benchmarks. -
#72: AI's Hidden Cultural Code: East vs. WestDo AIs think differently East vs. West? Uncover the hidden cultural code embedded in large language models.