Codium

⚡️Every product of the future will be a living system — Ronak Malde, Trajectory.ai

Jun 21, 2026 · 33:58

Ronak Malde, CEO of Trajectory.ai, recounts his journey from building AI coding agents at Windsurf (acquired by Google DeepMind in a deal involving Demis Hassabis and Sergey Brin) to launching a platform for continual learning in enterprise AI. He argues that every future product must be a 'living system' that learns from real-world user interactions, not static models. The episode details Trajectory's technical innovations, including Self-Distillation Policy Optimization (SDPO) for learning from corrections, continuous LoRA for parallel training, and open-sourcing a training stack with SkyRL. It covers partnerships with Harvey and NVIDIA to train NeMoTron 3 Super for legal workflows, improving metrics like issue spotting and citation accuracy while cutting costs. Malde explains data curation strategies that capture nuanced user edits beyond binary signals, and outlines Trajectory's roadmap from AI-native companies like Clay and Decagon to Fortune 500 enterprises. He also reveals that the idea for Trajectory emerged after giving up his acquisition equity to pursue this vision.

[Paper Club] Embeddings in 2024: OpenAI, Nomic Embed, Jina Embed, cde-small-v1 - with swyx

Dec 1, 2024 · 41:46

Shawn Wang (swyx) surveys four key embedding developments: OpenAI's text-embedding-3 models, Nomic Embed, Jina Embed v3, and CDE-small-v1. OpenAI's models introduce Matryoshka embeddings, compressing output from 1024 to 64 dimensions (94% storage reduction) with only an 8% performance drop. Nomic Embed is a fully open-source BERT-based model trained on English data, offering reproducible code. Jina Embed v3 supports 89 languages and uses task-specific LoRA adapters—e.g., a retrieval adapter yields a huge boost over the base model. CDE-small-v1 (143M parameters) employs a two-stage adaptation: first conditioning on the corpus, then embedding; it outperforms 7B-parameter models on many tasks, though its stateful API complicates deployment.