Post by DataStax

What if the reason your AI system isn’t improving… is because it forgets everything the moment it finishes a task?... On the next Context Window Podcast, Ed Anuff and Anant Jhingran are joined by Chris Latimer, CEO & Co-Founder of Vectorize AI, Inc., to unpack one of the biggest gaps in AI today: memory. We’ll dig into: 👉 Why most AI agents don’t actually learn - they just start over 👉 The difference between retrieval vs. real memory (and why it matters) 👉 What’s fundamentally broken in how today’s AI systems are built 👉 A new way to think about architecture: retain, recall, and reflect 👉 What becomes possible when systems actually improve over time AI agents are getting more powerful...but they’re still inconsistent, forgetful, and unreliable in real-world use. If we don’t solve memory, we’re not building intelligent systems… we’re just building better workflows. If you’re building AI products (or trying to), this is a conversation you don’t want to miss. 📅 Join us live Tuesday, 4/21

Video Content