BotPsy pairs an on-device assistant with a small agentic model
The Hugging Face post describes a personal assistant built around a language model under one billion parameters.
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The Hugging Face post describes a personal assistant built around a language model under one billion parameters.
The authors say inference still works on unseen keyboards, users, noise, and compressed channels when a language model corrects predictions.

Meta prices it at $0.10 per million input tokens and says it scores 36 on Artificial Analysis for about $0.14 a task.
Claude Opus 5.5 audited and repaired flaws in radiotherapy networks with 433-4801 parameters
DeepMem separates semantic compression from exact byte preservation using a learned invertible subband transform to create a hierarchy of shorter sequences.
4-billion-parameter looped model outperforms larger models on benchmarks with open checkpoints.
The captured page is only a cookie notice, so architecture, weights, and access are not described.

The announcement frames Carbon-X as an open model that jointly handles DNA sequences and natural language.
The page body is a cookie banner, so only the stated generation speed is available, not architecture or availability.
The 4B model keeps the Spark-X2.5 architecture and claims coding and agent gains from post-training alone.
The 4B model keeps the Spark-X2.5 architecture and adds none, low, and high thinking levels.
The Apache 2.0 model takes images, runs at about 4-bit on one GPU, and claims to beat same-size peers.
Queen, a 4B-parameter chess-language model, reaches 2697 Elo via iterative distillation while explaining moves, beating frontier models with ~1000x fewer parameters.
Ai2 open-sourced AstaBrief, the fast report-generation model used in Asta.
Queen, a 4B chess language model, reaches Grandmaster strength while explaining its moves and plans.
PSSA, a non-transformer language model written from scratch in Rust, drew modest Hacker News discussion.
FactorEngram adds factorized n-gram memory with basis-level gating to language models.
A frozen four-billion-parameter model proposes commissioning plans, but a sealed external gate decides every release.
A developer shows gzip can continue text by beam-searching byte sequences that compress best against a primed corpus.
Pinocchio introduces an external calibrator for black-box LLM API models with 0.862 AUROC and zero-shot transfer to thirteen unseen models.

OpenAI's landmark 2019 GPT-2 post withheld the full 1.5B-parameter model over misuse concerns, releasing only a smaller variant and paper.
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