Beyond Math and Code: How SpyRL Turns Party Games Into Verifiable Training Signals for LLMs
Reinforcement Learning with Verifiable Rewards (RLVR) has become the engine behind modern reasoning models. The recipe is straightforward: let a
Tag: AI
Building LLM Evaluation Pipelines: Metrics, Frameworks, and CI Integration
Shipping an LLM-powered feature without an evaluation pipeline is like deploying a microservice without health checks — it might work
Continue readingBuilding LLM Evaluation Pipelines: Metrics, Frameworks, and CI Integration
Metis: The First Memory Foundation Model That Learns to Remember
AI agents have gotten remarkably good at reasoning, perceiving, and acting. But ask one to remember what you told it
Continue readingMetis: The First Memory Foundation Model That Learns to Remember
5 Trending GitHub Repos: Multiplayer Agents, 2 GB LLMs, and AI Writing Discipline
Every Sunday, I scan the open source landscape for projects that are gaining real traction — not just stars, but
Continue reading5 Trending GitHub Repos: Multiplayer Agents, 2 GB LLMs, and AI Writing Discipline
The Open-Weight AI Surge: What GLM-5.2, Inkling, and Robotics Scaling Laws Mean for Developers
The AI landscape moves fast. In the span of a few weeks, we’ve seen several notable model releases that push
Xiaomi-Robotics-1: When Scaling Laws Finally Arrive in Robotics
Robotics has a data problem. While language and vision models have ridden scaling laws to ever-higher capabilities, robot learning has
Continue readingXiaomi-Robotics-1: When Scaling Laws Finally Arrive in Robotics
Kimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth
Moonshot AI has just dropped Kimi K3, and it’s a monster. At 2.8 trillion parameters, it’s the world’s first open-source
Continue readingKimi K3: Moonshot AI’s 2.8 Trillion Parameter Open-Source Behemoth
Inkling: Thinking Machines Lab’s 975B Open-Weights Multimodal Model
The open-weights LLM landscape just gained a significant new entrant. Inkling, released on July 15 by Thinking Machines Lab, is
Continue readingInkling: Thinking Machines Lab’s 975B Open-Weights Multimodal Model
Training-Inference Mismatch: Why Your LLM Reinforcement Learning Is Optimizing the Wrong Policy
Reinforcement learning has become the defining ingredient of modern LLM post-training. GRPO, PPO, and their variants drive the reasoning capabilities
Program-as-Weights: Compiling Natural Language Into Local Neural Programs
There’s a class of programming tasks that resists clean implementation: deciding whether a log line is “important,” repairing malformed JSON
Continue readingProgram-as-Weights: Compiling Natural Language Into Local Neural Programs