Today’s episode tackles one of AI’s biggest challenges: memory. Large language models struggle to remember past interactions, causing frustration when they lose context mid-conversation. But with new developments like Google's Titan, MemoryLLM, and Zep’s Temporal Knowledge Graph, is AI finally getting closer to real memory?

The team discusses what we actually want AI to remember, how forgetting is just as important as recall, and what this means for AGI and AI-powered assistants.

Key Points Discussed

🔴 The AI Memory Problem - Current LLMs forget past conversations, struggle with context, and rely on static pre-training.

🟡 Short vs. Long-Term Memory - New models are exploring persistent memory, contextual memory, and surprise-driven retention to mimic human recall.

🟡 Google Titan & Memory LM - These models aim to self-update over time without degrading performance.

🔴 Zep’s Temporal Knowledge Graph - This open-source project structures AI memory with timestamps, helping AI track events over time.

🟡 How Much Should AI Forget? - The Ebbinghaus Forgetting Curve shows that human memory naturally decays—should AI do the same?

🔴 Real-World Use Cases - AI memory could revolutionize personal assistants, financial modeling, and ad optimization by recalling past interactions and learning from them.

🟡 The Future of AI Memory - Does AI need total recall, or should it prioritize relevant context like human memory?

#AIMemory #ChatGPT #ArtificialIntelligence #AIResearch #MachineLearning #TitanAI #MemoryLM #FutureOfAI #AGI #DeepLearning

Timestamps & Topics

00:00:00 🎙️ [Intro: Why AI Struggles with Memory]

00:01:55 🤔 [What Do We Actually Want AI to Remember?]

00:06:24 🧠 [Short-Term vs. Long-Term AI Memory]

00:12:31 🔍 [Google Titan & Memory LM – A Breakthrough?]

00:19:00 📊 [How AI Memory Could Change Business & Ads]

00:26:07 ⏳ [Forgetting is Just as Important as Remembering]

00:32:40 🏗️ [Zep’s Temporal Knowledge Graph – The Future of AI Context]

00:41:49 🚀 [AGI & AI Assistants – Do We Need Human-Like Memory?]

00:47:33 📢 [Closing Thoughts & What’s Next for AI]

The Daily AI Show Co-Hosts: Andy Halliday, Beth Lyons, Brian Maucere, Eran Malloch, Jyunmi Hatcher, and Karl Yeh

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