Google's Gemma 2 vs. GPT-3.5 ⚔️ // Black Forest Labs' Flux Model 🌲 // Ethical Concerns in AI 🚨

This episode dives into Google’s Gemma 2, which claims to outperform GPT-3.5 while tackling responsible AI practices. We explore Black Forest Labs' Flux model, featuring 12 billion parameters and tailored versions for various users. Olivia sheds light on the ethical concerns surrounding the resurgence of pseudoscience in machine learning, particularly physiognomy. Lastly, Belinda reviews critical research on AI safety, advocating for clearer metrics to prevent misleading claims about safety advancements. Contact:  [email protected] Timestamps: 00:34 Introduction 01:37 Google’s tiny AI model bests GPT-3.5 02:48 Announcing Flux by Black Forest Labs: The Next Leap in Text-to-Image Models 04:28 The reanimation of pseudoscience in machine learning and its ethical repercussions 06:06 Fake sponsor 08:04 MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts 09:55 Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models 11:41 Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress? 13:33 Outro