AI ExpertsDIRECTORY
Get listed
Wes Roth
VERIFIED TECHNICAL DOSSIERSources checked

Wes Roth

AI Research Analyst & Creator

2 Verified ArtifactsSource Checked & Attributed
Back to Profile & ContactInquire with Wes

Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Wes Roth. Every entry undergoes editorial source verification.

#1
EXPLANATION Checked Sep 22, 2026

DeepSeek R1 and Frontier Reasoning Models: Architecture and Inference Economics

Produced an exhaustive structural analysis of reinforcement learning scaling laws, test-time compute scaling, Multi-Head Latent Attention (MLA), and inference cost reductions.

Model & Execution Context:DeepSeek-R1, OpenAI o1, test-time compute scaling, GRPO training dynamics.
Scope & Limitations

Inference economics depend heavily on hardware deployment profiles and FP8 quantization efficiency.

View Enriched Study & Permalinks Primary Source
#2
EXPLANATION Checked Sep 22, 2026

Enterprise AI Compute Scaling and Autonomous Agent Trajectories

Researched and authored widely cited strategic briefs forecasting the transition from static pre-training scaling to runtime agentic search and verification.

Model & Execution Context:Cluster economics, GPU utilization rates, reasoning token overhead.
Scope & Limitations

Long-horizon agent execution requires resilient human checkpoints in regulated enterprise settings.

View Enriched Study & Permalinks Primary Source