AI/ML●●Solid
Meadow Mind – a 7B diffusion LLM plays Gym games with zero training
Fixed-latency language-rule decisions beat traditional token-by-token LLM agents.
Big BrainWizardry
akaiHuang
303d ago
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"Be horse." – a diffusion language model on an M2 Air
by encrux·Apr 30, 2026·10 points·2 comments
AI Analysis
●●SolidBig BrainNiche Gem
Parallel token decoding beats autoregressive LLMs on throughput, if the math holds up.
Strengths
- •Mask-prob as a model input lets one network handle all noise levels elegantly.
- •Training loop visualizations clearly explain the cross-entropy loss on masked positions.
- •Runs entirely on consumer M2 hardware without needing enterprise GPU clusters.
Weaknesses
- •No benchmarks comparing tokens-per-second against standard autoregressive baselines.
- •Output quality looks poor in the demo, suggesting it's more proof-of-concept than usable.
Category
Target Audience
ML researchers and hobbyists interested in alternative LLM architectures
Similar To
Mercury · LLaDA · Diffusion-LM
Post Description
Be horse.
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