Model Comparison
Model Editorial Structural Class Conf SETL Theme
@cf/meta/llama-4-scout-17b-16e-instruct lite ND ND 0.87
@cf/meta/llama-3.3-70b-instruct-fp8-fast lite ND ND 0.90
@cf/meta/llama-4-scout-17b-16e-instruct lite 0.00 ND Neutral 1.00 0.00
@cf/meta/llama-3.3-70b-instruct-fp8-fast lite 0.00 +0.20 Neutral 0.80 -0.20 Technical Innovation
@cf/qwen/qwen3-30b-a3b-fp8 lite ND ND
@cf/qwen/qwen3-30b-a3b-fp8 lite ND ND
openai/gpt-oss-120b:free lite ND ND
google/gemma-3-27b-it:free lite ND ND
qwen/qwen3-coder:free lite ND ND
Section @cf/meta/llama-4-scout-17b-16e-instruct lite @cf/meta/llama-3.3-70b-instruct-fp8-fast lite @cf/meta/llama-4-scout-17b-16e-instruct lite @cf/meta/llama-3.3-70b-instruct-fp8-fast lite @cf/qwen/qwen3-30b-a3b-fp8 lite @cf/qwen/qwen3-30b-a3b-fp8 lite openai/gpt-oss-120b:free lite google/gemma-3-27b-it:free lite qwen/qwen3-coder:free lite
Preamble ND ND ND ND ND ND ND ND ND
Article 1 ND ND ND ND ND ND ND ND ND
Article 2 ND ND ND ND ND ND ND ND ND
Article 3 ND ND ND ND ND ND ND ND ND
Article 4 ND ND ND ND ND ND ND ND ND
Article 5 ND ND ND ND ND ND ND ND ND
Article 6 ND ND ND ND ND ND ND ND ND
Article 7 ND ND ND ND ND ND ND ND ND
Article 8 ND ND ND ND ND ND ND ND ND
Article 9 ND ND ND ND ND ND ND ND ND
Article 10 ND ND ND ND ND ND ND ND ND
Article 11 ND ND ND ND ND ND ND ND ND
Article 12 ND ND ND ND ND ND ND ND ND
Article 13 ND ND ND ND ND ND ND ND ND
Article 14 ND ND ND ND ND ND ND ND ND
Article 15 ND ND ND ND ND ND ND ND ND
Article 16 ND ND ND ND ND ND ND ND ND
Article 17 ND ND ND ND ND ND ND ND ND
Article 18 ND ND ND ND ND ND ND ND ND
Article 19 ND ND ND ND ND ND ND ND ND
Article 20 ND ND ND ND ND ND ND ND ND
Article 21 ND ND ND ND ND ND ND ND ND
Article 22 ND ND ND ND ND ND ND ND ND
Article 23 ND ND ND ND ND ND ND ND ND
Article 24 ND ND ND ND ND ND ND ND ND
Article 25 ND ND ND ND ND ND ND ND ND
Article 26 ND ND ND ND ND ND ND ND ND
Article 27 ND ND ND ND ND ND ND ND ND
Article 28 ND ND ND ND ND ND ND ND ND
Article 29 ND ND ND ND ND ND ND ND ND
Article 30 ND ND ND ND ND ND ND ND ND
ND Large-Scale Agentic RL for CUDA Kernel Generation (cuda-agent.github.io)
4 points by gmays 1 days ago | 0 comments on HN ~lite vlite-2.0
Summary ~lite
Technical presentation of CUDA Agent, a large-scale agentic RL system for CUDA kernel generation.
Lite evaluation by llama-4-scout-wai-psq · editorial channel only · no per-section breakdown available
Longitudinal 63 HN snapshots · 6 evals
+1 0 −1 HN
Audit Trail 14 entries
2026-03-06 04:25 eval_success PSQ evaluated: g-PSQ=0.600 (3 dims) - -
2026-03-06 04:25 eval Evaluated by llama-4-scout-wai-psq: +0.60 (Strong positive) 0.00
2026-03-06 04:25 eval_success PSQ evaluated: g-PSQ=0.482 (3 dims) - -
2026-03-06 04:25 eval Evaluated by llama-3.3-70b-wai-psq: +0.48 (Moderate positive) 0.00
2026-03-05 20:14 eval_success Lite evaluated: Neutral (0.00) - -
2026-03-05 20:14 eval Evaluated by llama-4-scout-wai: 0.00 (Neutral)
reasoning
Technical content on CUDA kernel generation, no human rights discussion
2026-03-05 20:14 rater_validation_warn Lite validation warnings for model llama-4-scout-wai: 1W 0R - -
2026-03-05 20:12 eval_success Lite evaluated: Neutral (0.08) - -
2026-03-05 20:12 eval Evaluated by llama-3.3-70b-wai: +0.08 (Neutral)
reasoning
Technical paper on CUDA kernel optimization
2026-03-05 20:12 rater_validation_warn Lite validation warnings for model llama-3.3-70b-wai: 1W 0R - -
2026-03-05 16:30 eval_success PSQ evaluated: g-PSQ=0.600 (3 dims) - -
2026-03-05 16:30 eval Evaluated by llama-4-scout-wai-psq: +0.60 (Strong positive)
2026-03-05 16:30 eval_success PSQ evaluated: g-PSQ=0.482 (3 dims) - -
2026-03-05 16:30 eval Evaluated by llama-3.3-70b-wai-psq: +0.48 (Moderate positive)