Learning desk

MultiAgent EDU StackGather good sources. Teach what matters.
T3Mermaid to ASCII art (mermaid-ascii)T3Kimi K3, and what we can still learn from the pelican benchmarkT3Firefox in WebAssemblyT3Spot birds not golfT3[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricingT1From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphologyT1DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge GraphsT1GenTL: A General Transfer Learning Model for Building Thermal DynamicsT1A short review on the maximum clique problem algorithms with classical, AI, and quantum methodsT1Man, Machine, and Masterpiece: Artistic Ownership in the AI EraT1HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationT1How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay DraftsT3Mermaid to ASCII art (mermaid-ascii)T3Kimi K3, and what we can still learn from the pelican benchmarkT3Firefox in WebAssemblyT3Spot birds not golfT3[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricingT1From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphologyT1DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge GraphsT1GenTL: A General Transfer Learning Model for Building Thermal DynamicsT1A short review on the maximum clique problem algorithms with classical, AI, and quantum methodsT1Man, Machine, and Masterpiece: Artistic Ownership in the AI EraT1HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationT1How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts

Editorial

Human-gated review queue. Approved decisions are never recorded without a human.

0 awaiting · 2 decided

Awaiting review

Editorial queue is clear.

Past decisions

  • pedagogical: Objective is observable and protocol-shaped. Frontier one-shot is the right format. Evidence of mastery is clear. Could note Terminal-Bench task independence caveat so learners do not over-generalize to production.

    technical: Aligns with two-phase Terminal-Bench 2.0 study (GEPA / Meta Harness / RELAI-VCL; regression control inside the loop). Spec stays at evaluation pattern, not product pitch.

    2026-07-16 23:01:51

  • pedagogical: Objective is observable (audit corpus, decide validity). critical_evaluation @3 fits. Durable format is right. Minor gap: paper's read 15-20 raw items protocol could be named more explicitly in learner steps.

    technical: Matches arXiv 2607.13707 case (shared max_tokens, fabricated collapse, oracle-less vs perturbation). Claims current and citable. No lab yet; fine for first draft.

    2026-07-16 23:01:51