Feedback for a Claude Code Plush
Reddit user shares handmade Claude Code plush prototype and seeks feedback on potential manufacturing.
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Reddit user shares handmade Claude Code plush prototype and seeks feedback on potential manufacturing.
HuggingFace benchmark datasets now support filtering by model size, enabling easier comparison of sub-32B models on tasks like SWEBench.
Spanish psychiatric ICD classification dataset (145k entries) benchmarked classical NLP vs. LLMs for automated diagnosis coding.
For years, tech companies have promised AI will give everyone a capable personal assistant but delivered something more like a clueless intern. Over the past six months, that has started to change, thanks largely to the viral open-source AI agent platform OpenClaw. And among…
SMoA improves LoRA parameter-efficient fine-tuning via spectrum modulation to overcome low-rank representational capacity limits.
MIST detects Trojaned DNNs during fine-tuning by analyzing spectral deviations in internal model representations.
CoarseSoundNet applies ML to soundscape ecology, classifying biophony, geophony, anthropophony in ecological audio data.
CoPhy combines VLM distillation and physics prediction via reinforcement learning to improve end-to-end autonomous driving beyond imitation learning.
User study of LLM-derived error highlights and APE suggestions in machine translation post-editing shows no productivity gains.
Utah may host one of the world's most colossal data centers, despite stark warnings from experts and fierce public backlash. Earlier this month, commissioners in Box Elder County signed off on the Stratos Project: a 40,000-acre data center stretching across the county's Hansel…
Figma's new AI assistant will be first available on Figma Design
Reasoning-trace collapse occurs when fine-tuning explicit reasoning models on instruction-response data without reasoning traces.
Advantage Collapse Rate metric diagnoses GRPO training failure in RL preference optimization for LLM reasoning.
Especially at night I feel like it’s always just one more turn that ends up being an hour(s) long. Let me just finish this module. Well now that is done, it’s silly to not finish up the corresponding whatever… Yesterday on my “last turn” I redesigned the GUI of one of my…
Linear-DPO generalizes Direct Preference Optimization to diffusion and flow-matching models via unified reverse-time SDE framework.
ABC-DFL proposes Byzantine-resilient decentralized federated learning for EV battery anomaly detection without central aggregation.
Framework for uncertainty-aware XAI via Bayesian neural networks and explanation distributions; application to power quality classification.
Complexity analysis for entailment in cumulative propositional dependence logics with team semantics.
Efficient training of deep state space models via importance smoothing, combining variational and SMC approaches.
Improved regret bounds for constrained online convex optimization via self-contraction technique.
HORST: modular optimizer composing L∞ and L1 geometries for stable, sparse transformer training.
Typed tensor language formalizing federated learning via client-local computation and mergeable aggregation.
VerbatimRAG system for hallucination-free QA over ACL Anthology via extractive retrieval and verbatim text spans.
WCXB: web content extraction benchmark with 2,008 pages across 7 content types for retrieval and LLM training.
UOTIP: unpaired inverse problem solver using unbalanced optimal transport for image reconstruction.
Error correction mechanisms for deep autoregressive time-series forecasting to mitigate long-term prediction drift.
https://reddit.com/link/1tik0qe/video/9bh6ypr3ca2h1/player A few hours, [Claude Code](https://www.claude.com/product/claude-code) \+ [Remotion](https://www.remotion.dev/), 4 black coffees, no design tools, no After Effects, no editor. **The whole trick:** Remotion is React…
LoCar introduces evaluation framework for in-vehicle LLM assistants with focus on Korean honorific stability and localization.
Decoupling Communication from Policy decouples latent representations in MARL to enable robust multi-agent coordination under bandwidth constraints.