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Contents

GitHub
AI Others·2025
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Heretic

p-e-w·Worldwidemann

Automatically removes safety alignment from transformer LLMs via directional ablation, with Optuna's TPE optimizer tuning the parameters — no retraining or model-internals expertise needed; hit 3/100 refusals at 0.16 KL on Gemma-3-12b.

#github#ai-tools#ai-library#pytorch#llm+2
GitHub
AI Audio·2025
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FluidVoice

altic-dev

On-device macOS dictation that transcribes speech locally and offers an optional local AI enhancement (Fluid Intelligence) for smart formatting and post-processing. Key features: low-latency model choices, live transcription overlay, per-app prompts and privacy-by-default; best on Apple Silicon.

#stt#voice#audio#privacy#ai-tools
GitHub
AI Infra·2025
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LongLive 2.0: An NVFP4 Parallel Infrastructure for Long Video Generation

NVIDIA Research (NVLabs)

Provides an NVFP4‑optimized training and inference infrastructure for long-form video diffusion models — supports multi-shot AR training, KV-cache and NVFP4 quantized inference, sequence-parallelism and async decoding for higher FPS and longer outputs.

#nvidia#video#ai-video#huggingface#pytorch+2
GitHub
AI Agent·2025
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Anthropic / skills

Anthropic

Folders pairing a SKILL.md (YAML metadata plus instructions) with optional scripts that Claude loads on demand to handle specific tasks. Bundles document skills (PDF, DOCX, PPTX, XLSX), a spec, and a starter template for authoring your own.

#anthropic#claude#ai-agent#plugin#github+2
GitHub
AI Agent·2025
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Page Agent

alibaba

Embeds a GUI agent in your web page as client-side JavaScript, letting users drive the interface with natural language — it reads the DOM as text (no screenshots) and performs clicks and form fills. Bring your own LLM; no extension or backend required.

#alibaba#github#ai-agent#agent-skills#ai-client+3
GitHub
AI Agent·2025
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A2UI: Agent-to-User Interface

Google

Lets AI agents describe interactive UIs as declarative JSON instead of executable code; client apps render the components with native widgets from a pre-approved catalog, keeping agent-generated UI safe across trust boundaries.

#google#github#ai-agent#ai-client#ai-tools+5
AI Video Papers·2025
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Video models are zero-shot learners and reasoners

Thaddäus Wiedemer, Yuxuan Li +7·Google DeepMind

Argues a single web-scale generative video model handles vision tasks zero-shot the way LLMs handle language. Probes Veo 3 on segmentation, edge detection, image editing, physical and affordance reasoning, and puzzles like maze solving and symmetry.

#video#vision#LLM#paper#ai-video+3
GitHub
MLOps·2025
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DeepScientist

Yixuan Weng, Minjun Zhu +6

Turns papers, repositories, or natural-language research goals into local-first executable 'quests' that automate reproducible experiments, branching, and result-to-paper workflows. Preserves experiment history, supports web/TUI/connectors, and keeps human takeover and inspection simple.

#mlops#ai-workflow#ai-agent#github#python+2
GitHub
AI Infra·2025
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OpenEnv

Hugging Face

Provides Gymnasium-style APIs and tooling to run isolated, networked execution environments for agentic reinforcement learning. Offers async/sync EnvClients, Docker/Kubernetes container providers, a web UI and CLI for scaffolding and deploying environments (Hugging Face Spaces); experimental and evolving.

#huggingface#RL#python#docker#mcp+4
GitHub
AI Infra·2025
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OpenEnv

Meta-PyTorch

Provides a Gymnasium-style API and tooling to create, deploy, and interact with isolated execution environments for agentic RL training. Includes async/sync clients, a web interface, CLI, Docker-based deployment, and Hugging Face Spaces integration.

#RL#pytorch#meta-ai#huggingface#docker+5
GitHub
AI Train·2025
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Tinker Cookbook

Thinking Machines Lab

Worked examples and reusable abstractions for fine-tuning open LLMs via the Tinker training API: you write the training loop while distributed execution runs remotely. Covers SFT, math/code RL, DPO, three-stage RLHF, distillation, and tool use.

#github#ai-train#LLM#RL#ai-library
GitHub
AI Audio·2025
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NeuTTS

Neuphonic

Runs text-to-speech with instant voice cloning fully on-device, from phones to GPUs. Built on small LLM backbones (120M-360M params) plus a 50Hz neural codec; clones a voice from ~3 seconds of audio across English, Spanish, German, and French.

#huggingface#llm#audio#vllm#gitHub+3
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