Based on this YouTube video's total view count of 44.2K views and industry-standard rates, the estimated total earning is $31 - $89 through ad revenue. Historical data is not yet available to calculate daily, weekly, or monthly averages.

Explore Continual Learning: How AI Agents Get Better With Every Use | Arjun Karanam, Trajectory with 44,266 views, 452 likes, and 16 comments. Experience the impact of this video content that has captured audience attention.

Today's AI models keep getting smarter, but every conversation still feels like their first day on the job. Trajectory co-founder Arjun Karanam calls this the experience gap: models are improving on IQ, but not on experience. Continual learning aims to close it, turning the trillions of tokens of agent interactions that get thrown away into signal that makes agents better with every use. At Sequoia Capital’s Own Your Intelligence event, Arjun lays out four goals for companies that want to get there: full traceability (including sub-agents and corrective behavior like edits and retries), evals drawn from real production traffic, harnesses that let agents orchestrate rather than constrain them, and getting comfortable running on open weights. He also covers what should be trained into the model versus left to the harness, and how to learn from interactions without training on customer data. 00:00 Introduction 00:12 Building the platform for continual learning 01:33 The experience gap: models have IQ but no tenure 02:52 Traceability → model spec → better models and harnesses 05:27 Four wishes for the agent ecosystem 06:34 Wish 1: Trace the whole tree — and capture the corrections 08:03 Wish 2: Evals from real traffic, graded in the real harness 09:26 Wish 3: Let the agents cook, and make tool responses informative 10:34 Wish 4: Get comfortable on open weights, experiment with routers 11:51 Why owning your intelligence shouldn't be consulted away 13:15 Demo: import a benchmark, train a model, deploy it 14:28 Q&A: What's the trainable object — weights, harness, or context? 16:08 Q&A: Continual learning without training on customer data 17:13 Q&A: Episodic memory and the hierarchy of feedback 19:37 Q&A: Where continual learning matters most

With SocialCounts.org’s view counter, track your YouTube video’s live view count and YouTube likes count in real time with fast, reliable updates.

Watch every YouTube video live view count rise with our real-time YouTube views tracker—built for accuracy and minimal delay.

Follow YouTube real time views as they happen, using our dedicated view counter for YouTube videos.

Get up-to-date live view count on YouTube and see real-time growth with SocialCounts.org’s smart tracking tools.