Brain Snacks

Noah Harrington

٥٫٠ (١)
التكنولوجيا
يتم التحديث أسبوعيًا

We review the latest research breakthroughs in AI

١٩‏/٠١‏/٢٠٢٥

#1 - Episode 1: Transformer 2.0

In this episode of Brain Snacks, host Noah Harrington dives deep into what might be "Transformer 2.0" - two revolutionary papers reshaping the foundation of AI language models: • Google DeepMind's "Titans: Learning to Memorize at Test Time": Revolutionizing how transformers handle memory by introducing: - Neural long-term memory modules that learn during inference - Ability to process over 2 million tokens at test time - Novel "surprise metric" for selective memory storage • Sakana AI's "Transformer²: Self-Adaptive LLMs": Reinventing transformer architecture through: - Self-adaptive AI that rewires its own structure - Dynamic component modification using Singular Value Decomposition - More efficient computation while maintaining performance Perfect for anyone curious about the next evolution of transformer models and how they're becoming more like human brains. No dense technical jargon - just clear, fascinating insights into the future of AI language models.

١٢ د

حلقة واحدة

We review the latest research breakthroughs in AI

صناع العمل

Noah Harrington
سنوات النشاط

٢٠٢٥
الحلقات

١
التقييم

ملائم
حقوق النشر

© Noah Harrington
موقع البرنامج على الويب

Brain Snacks