| type | date | title | authors |
|---|
| Case study | September 4, 2026 | Training a Specialist Code Search Agent with turbopuffer | |
| Research | August 28, 2026 | Frontier-scale RL with Kimi K3 | Raymond Feng, Lucca Bertoncini |
| Platform | August 25, 2026 | Applied Compute Agent Cloud | |
| Case study | August 14, 2026 | Training Frontier Review Table Agents with Harvey | |
| Platform | August 12, 2026 | Ari, Applied Compute's in-house AI research agent | Aniruddh Sriram |
| Platform | August 6, 2026 | Bring Your Own Harness to AC2 | Vinjai Vale |
| Case study | August 5, 2026 | Post-Training Collaboration with NVIDIA | |
| Platform | August 3, 2026 | Productionizing self-distillation methods | Camron Sallade, Ben Scharfstein |
| Platform | July 28, 2026 | Scaling RL training in the age of multi-agent systems | Raymond Feng |
| Research | July 3, 2026 | Predicting and Controlling Staleness in Fully Asynchronous RL Training | Chengyu Dong, Agastya Goel, Dylan Yu |
| Research | June 26, 2026 | Neural Cheat Sheets: Learning to Summarize with Reinforcement Learning | Applied Compute |
| Case study | June 22, 2026 | Training a State-of-the-Art Legal Agent with Harvey | |
| Research | June 16, 2026 | Continued Training with Entropy Preserving RL | Nic Becker, Jacob Philips, Rhythm Garg |
| Company | June 10, 2026 | Moats Need Models | Sahar Solimano |
| Research | June 4, 2026 | Training an Agentic Router for Optimal Cost-Performance on SWE Tasks | Nic Becker, Rhythm Garg |
| Research | May 22, 2026 | Bringing Capabilities in Distribution via Relevance-Masked Self-Distillation | Raymond Feng, Pranav Vaid |
| Case study | May 11, 2026 | Unlocking Real-Time Bug Detection at Cognition | |
| Research | May 8, 2026 | Memory in the wild: how we use Context Engine on our own code | Sam Denton, Dylan Yu, Raymond Feng |
| Research | May 1, 2026 | Remember, Refine, Retrieve: A Context Engine for Enterprise Agents | Sam Denton, Ben Scharfstein, Vinjai Vale |
| Research | April 22, 2026 | Benchmarking Inference Engines on Agentic Workloads | Oam Patel, Linden Li |
| Company | April 10, 2026 | Unlocking the AI Overhang | Bryan Lee |
| Company | April 8, 2026 | The Advantage You Own | Yash, Rhythm, Linden |
| Research | March 24, 2026 | Speeding up RL with high-leverage samples | Agastya Goel, Linden Li |
| Case study | February 24, 2026 | Building State-of-the-Art Agents with Mercor | |
| Case study | February 17, 2026 | Automating Merchant Onboarding at DoorDash | |
| Company | October 29, 2025 | It's time to get specific | Yash, Rhythm, Linden |