Hacking with Claude on a $27 smart watch
The author shows how to run Anthropic's Claude language model on a $27 smartwatch by
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Listening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
Self-supervised learning (SSL) has driven substantial progress in audio representation learning, though existing methods have increasingly relied on elaborate pre-training recipes to reach competitive
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Towards Quantifying Benchmark Optimization in ASR Models
Researchers propose a methodology to quantify benchmark optimization in ASR models, particularly when audio signals underdetermine reference transcripts. The approach uses three families of behavioral probes to assess mo…
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VA-Judger: Reward Modeling from Human Preference Feedback for Joint Video-Audio Generation
Using reinforcement learning to post-train joint video-audio generation models requires a reward signal. Existing methods construct this reward by combining metrics for individual quality dimensions,
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The boring way to run Deepseek V4 Flash-0731 130-150 tks - 16x5060ti 16GB over 2 PLX88096 switches
A Reddit post details a validated configuration for running DeepSeek V4 Flash-0731 using 16 RTX 5060 Ti 16GB GPUs connected via two PLX PEX88096 switches (eight GPUs per island) on an ASRock Rack SPC621D8U-2T/OVH motherb…
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Ladies and gentlemen I present to you Qwen3.8 27b 1bit brain damage quant
A Reddit user tested the UnsLoth 1‑bit quantization of the Qwen‑3.8‑27B model on an 8 GB VRAM GPU, noting that the result was unexpectedly humorous. The post showcases the feasibility of running a 27‑billion‑parameter mo…
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Grok exfiltrates user data when malicious instructions are encrypted
Grok's vulnerability allows encrypted malicious instructions to bypass LLM safety guardrails, enabling user data exfiltration through
→ View original sourceClean up Claude 5's token vomit with a separate LLM
A GitHub project proposes using a separate LLM to filter and clean excessive token output ("token vomit") generated by Claude 5. The tool aims to improve output quality by post-processing verbose or redundant model respo…
→ View original sourceOllama Has a Naming Problem, and Your 4GB GPU Is Paying For It
Why num_gpu doesn't mean what you think it means, and why small-VRAM cards get shortchanged even when the math should work out fine.Continue reading on Medium »
→ View original sourceOsmantic /ODS
ODS is an open-source solution designed to transform PC, Mac, or Linux machines into AI servers. The platform supports LLM inference, RAG, image generation, and the deployment of agents, workflows, voice capabilities, an…
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Apache Maka is an incubating local-first AI agent workspace that records model messages, tool calls, tool results, permission decisions
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I just built a mini Kimi-K3 from Scratch under 250$. Already beats GPT-2 (124M)!
I pre-trained a 1.02-billion-parameter on Kimi K3 replica trained on 5.00 billion decontaminated tokens for $250. This model has 1.02 billion parameters, of which 145 million are a
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