Learn · Expert
The Frontier
Papers, benchmarks, scaling laws, and the open research problems on the road to AGI.
Key Papers on the Road to AGI
A curated reading list tracing the arc from the transformer to scaling laws, RLHF, and reasoning models — plus how to read an ML paper efficiently.
ExpertThe Benchmark Landscape
How AI evaluation evolved from static QA to contaminated leaderboards to private, agentic tests — and what a healthy benchmark diet looks like in 2026.
ExpertScaling Laws and the Road to AGI
Kaplan and Chinchilla explained precisely, what scaling laws predict and don't, inference-time compute, and the 'wall' debate as of August 2026.
ExpertA Map of Alignment Research
A map of AI alignment research: outer and inner alignment, RLHF and Constitutional AI, interpretability, control, evals, and who works on what.
ExpertInference Optimization: Quantization, Speculative Decoding, Batching
Why inference economics rule everything: the KV cache and memory wall, quantization, speculative decoding, continuous batching, MoE, and the serving stack.
ExpertAgent Protocols and Interoperability (MCP and Friends)
Why agent protocols emerged, MCP in depth, agent-to-agent interoperability, and the prompt-injection and tool-poisoning security surface.