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rentry.org/LocalModelsLinks
Various links for ML and local models (not just LLMs) that's kept fairly updated.
rentry.org/LocalModelsPapers
ML papers I've read that I think are interesting. Also keep a text file at the top of all the abstracts for easy searching.
ClaudePlaysPokemon dev is back with Opus 4.7
Def favorite vibe check given the very minimal harness.
twitch.tv/claudeplayspokemon
Woosh: A Sound Effects Foundation Model
From Sony AI. Optimized for sound effects with a high-quality audio encoder/decoder model, a text-audio alignment model for conditioning, as well as a text-to-audio and video-to-audio generative models.
Links below
arxiv.org/abs/2604.01929
github.com/SonyResearch/Woos…
Repo isn't live yet
sonyresearch.github.io/Woosh…
sonyresearch.github.io/Woosh…
sonyresearch.github.io/Woosh…
Examples
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
Came across what could be an interesting benchmark. Old famicom game called Radical Bomber: Jurai-Kun. Asymmetrical boardgame with 1 runner and 4 chasers. Runner has the ability to bomb certain connections and limited double turns. Some special blocks too.
youtube.com/watch?v=A8mPtwdT…
VoXtream2: Full-stream TTS with dynamic speaking rate control
Combines a distribution matching mechanism over duration states with CFG across conditioning signals to improve controllability and synthesis quality. Runs 4 times faster than real time on a consumer GPU.
Links below
arxiv.org/abs/2603.13518
herimor.github.io/voxtream2/
Page not live yet
huggingface.co/herimor
Will probably be posted here
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
Speculative Speculative Decoding
Draft model predicts likely verification outcomes and prepares speculations pre-emptively for them. If the actual verification outcome is in the predicted set, a speculation can be returned immediately, eliminating drafting overhead.
Links below
arxiv.org/abs/2603.03251
github.com/tanishqkumar/ssd
Repo isn't live yet
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
Multi-Head Low-Rank Attention
Novel attention mechanism with native 4-way tensor parallelism support. At 2.9B scale achieves SOTA performance on perplexity and zero-shot common-sense reasoning benchmarks. 2.8× decoding speedup over MLA.
Links below
arxiv.org/abs/2603.02188
github.com/SongtaoLiu0823/ML…
huggingface.co/Soughing/MLRA
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
Aletheia tackles FirstProof autonomously
From Deepmind. Autonomously solved 6 problems (2, 5, 7, 8, 9, 10) out of 10 according to majority expert assessments; notes that experts were not unanimous on Problem 8 (only).
Links below
arxiv.org/abs/2602.21201
github.com/google-deepmind/s…
arxiv.org/abs/2602.05192
FirstProof challenge paper
daniellitt.com/blog/2026/2/2…
Interesting article about FirstProof
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
Adam Improves Muon: Adaptive Moment Estimation with Orthogonalized Momentum
Scales orthogonalized momentum using a single adaptive stepsize, preserving orthogonality while improving upon Muon at negligible additional cost.
Links below
arxiv.org/abs/2602.17080
github.com/minxin-zhg/namo
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
HiFloat4 Format for Language Model Inference
Packs 64 4-bit elements with 32 bits of shared scaling metadata, averaging 4.5 bits per value. Achieves higher average accuracy than the state-of-the-art NVFP4 format across multiple models and diverse downstream tasks.
Links below
arxiv.org/abs/2602.11287
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
MoEEdit: Efficient and Routing-Stable Knowledge Editing for Mixture-of-Experts LLMs
Reparameterizes expert updates via per-expert null-space projections that keep router inputs invariant and thereby suppress routing shifts.
Links below
arxiv.org/abs/2602.10965
github.com/Terence-Gu/MoEEdi…
Some interesting papers I keep updated
rentry.org/LocalModelsPapers
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos
From Nvidia. Foundation world model that learns diverse interactions and dexterous controls from 44k hours of egocentric human videos.
Links below
arxiv.org/abs/2602.06949
dreamdojo-world.github.io/
Code link not live yet
Some interesting papers I keep updated
rentry.org/LocalModelsPapers










