MiniMax H3 Turbo LoRA
🎬
1.05k
Video generation with a synchronized soundtrack
Mateusz Piesiak PRO
Mati83moni
AI & ML interests
Hybrid LLMs, MoE, Mamba, multilingual NLP, biomedical reasoning, efficient pretraining
Recent Activity
published a dataset 3 days ago
Mati83moni/MoE-Titan-Vault reacted to theirpost with 👍 4 days ago
🔍 Watermark Finder — find, mark, and strip hidden text watermarks. Open source, MIT.
Detects six distinct covert channels with exact character offsets, not guesses: Unicode tag payloads, variation-selector encoding, zero-width binary/markers, homoglyph substitution, bidi controls, and repetition stamps. Also verifies C2PA content credentials (Adobe, Leica, Google-signed manifests) — and keeps "integrity" (did the bytes change?) strictly separate from "trust" (is the signer who they claim?), because a forged certificate verifies perfectly too.
It scores writing register (how much prose reads like unedited assistant output) with visible uncertainty ranges and per-feature contributions — and refuses a verdict below ~15 words rather than fake precision. That score measures register, not authorship, and the README says so louder than I'm saying it here.
Two deploy modes: a hosted engine (FastAPI on a HF Space) behind a Cloudflare Worker, or a fully client-side build compiled to WebAssembly via Pyodide — the document never leaves the browser tab in that mode.
304 tests across four suites, real CI on every push, no accounts (anonymous HMAC-token workspace).
Live:
https://watermark-finder.pages.dev/
Source:
https://github.com/Mati83mon/Watermark_Finder reacted to theirpost with ❤️ 4 days ago
🔍 Watermark Finder — find, mark, and strip hidden text watermarks. Open source, MIT.
Detects six distinct covert channels with exact character offsets, not guesses: Unicode tag payloads, variation-selector encoding, zero-width binary/markers, homoglyph substitution, bidi controls, and repetition stamps. Also verifies C2PA content credentials (Adobe, Leica, Google-signed manifests) — and keeps "integrity" (did the bytes change?) strictly separate from "trust" (is the signer who they claim?), because a forged certificate verifies perfectly too.
It scores writing register (how much prose reads like unedited assistant output) with visible uncertainty ranges and per-feature contributions — and refuses a verdict below ~15 words rather than fake precision. That score measures register, not authorship, and the README says so louder than I'm saying it here.
Two deploy modes: a hosted engine (FastAPI on a HF Space) behind a Cloudflare Worker, or a fully client-side build compiled to WebAssembly via Pyodide — the document never leaves the browser tab in that mode.
304 tests across four suites, real CI on every push, no accounts (anonymous HMAC-token workspace).
Live:
https://watermark-finder.pages.dev/
Source:
https://github.com/Mati83mon/Watermark_FinderOrganizations
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