Blog

Stories from the gateway

AI Agents

Replaying Agent Traces: Debugging a Run You Cannot Reproduce

Agent runs rarely reproduce, so the stored trace is the only evidence. What to capture, how to replay it, and where replay stops being faithful.

· 9 min read
Fundamentals

Residual Connections: Why Deep Models Train at All

The one-line change that made hundred-layer networks possible, why the residual stream behaves like a shared bus, and what it explains about pruning.

· 8 min read
Fundamentals

RLHF Explained: Training on Comparisons Instead of Answers

· 9 min read
AI Agents

Rollback Strategies for Agents That Changed Things

· 9 min read
Fundamentals

Rotary Embeddings (RoPE) Explained With Clock Hands

· 9 min read
Models

Running Frontier Models on Rented GPUs: What It Really Takes

· 10 min read
Fundamentals

Scaling Laws Explained: What Predicts a Model Getting Better

· 9 min read
AI Agents

Scratchpad Patterns: Giving an Agent Somewhere to Think

· 8 min read
Models

Security Review for Open-Weight Models Before You Deploy

· 9 min read
Fundamentals

Self-Consistency Decoding: Ask Five Times, Take the Majority

· 8 min read
AI Agents

Shared Memory Between Agents: Designs That Actually Hold

· 9 min read
Cost & Pricing

Showback Reporting for AI Spend Teams Will Actually Read

· 11 min read
Fundamentals

Sparse vs Dense Activation: What Runs on Every Token

· 9 min read
AI Agents

Speculative Agent Execution: Running Ahead of the Decision

· 9 min read

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