2026-10-11 16:36 UTC

small-models

band: warmmomentum: stable score: 0.309
temperature history

Episodes (10)

Independent evaluations will determine whether Nanbeige4.2-3B's looped-transformer architecture delivers unusually strong agentic and coding performance for a 3B model.
expiredknownscott: medium
Independent use will determine whether Pomona makes small fully offline reasoning models practical for controlling and interpreting agricultural sensors on constrained edge hardware.
expiredknownscott: low
Independent replication will determine whether Pathway's 150M-parameter recurrent latent-reasoning model achieves 29.5% on ARC-AGI-1 at roughly $0.0007 per task and materially outperforms transformer baselines on inference efficiency.
expiredconvergesscott: medium
Independent evaluations will determine whether DFM-Mimir's recurrent 1.7B-scale architecture delivers unusually strong bilingual small-model coding and reasoning performance for local inference.
expiredconvergesscott: high
Independent use will determine whether Orvena’s on-device 4B-model harness can reliably support agent loops, context management, tools, and MCP workflows on iPhones at practical latency and quality.
expiredknownscott: low
Independent training and evaluation will determine whether the released Scaffold CoT dataset improves reasoning accuracy and concision in sub-5B-parameter models over free-form chain-of-thought data.
expiredconvergesscott: medium
Scaffold CoT’s creator claims its released four-million-example structured reasoning dataset improves the accuracy, concision, and reliability of under-5B language models over free-form chain-of-thought training, potentially providing a practical specialization recipe for small open models.
expiredknownscott: low
Equivalent-Grass-527 reports that OpenBMB’s released MiniCPM5-2B scores 15 on Artificial Analysis Intelligence Index v4.2, leading open-weight models at 4B parameters or below and potentially improving the quality available for resource-constrained local inference.
resolvedknownscott: low
Rohan Bansal claims SFT and reinforcement learning let a 4B open-weight model reduce execution latency by 44.7% across 113 join-heavy queries versus PostgreSQL's default plans, suggesting small specialized models can improve database query optimization.
seedconvergesscott: low
Princeton PhD researcher Adithya Bhaskar claims architectural and algorithmic innovations — a natural-language analogue of the AlphaZero algorithm — trained a 4B LLM to 2700 Elo chess with accurate move explanations and no training plateau, and that the technique transfers to other games, robotics, and computer use; publication and independent replication of the Elo result and the cross-domain transfer would establish a new small-model RL training method, while failed replication deflates the claim.
watchingconvergesscott: high

Trajectory notes