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中文

Mechanistic interpretability and applications: The final fronteir of hacking

Time
2026-08-08 12:30 ~ 13:00
Speaker
Martin Chang
Room
TR212
Co-write
Open LLM Tech: Core Technologies IntermediateMandarin

Abstract

LLM changed the course of tech and humanity for better or for worse. But safety has and still is a problem. No one can guarantee if LLMs are evil or misaligned. Instead of trying to make LLMs safe during training by different means. Mechanistic interpretability provides a different way - try to detect and change LLM behavior by opening them up and see what is going on.

Mechanistic interpretability is an important tech and not an easy one. Yet they are rarely discussed or developed publicly. Let's change that. If not so future us down the road can control much more powerful AI then right now.

Code: https://github.com/marty1885/llama.cpp/tree/rwkv-edit

Speaker

Martin Chang

Martin Chang

Systems software engineer working on HPC, GPGPU, and AI.

Diamond

Canonical

Gold

Consecutive2 YrsInformation Management AssociationConsecutive2 YrsCathay Financial HoldingsConsecutive5 YrsE.SUN BankCumulative12 YrsMySQLCumulative6 YrsBerry AINitra

Silver

Cumulative16 YrsGamesofa Inc.

Bronze

KKTIXNational Center for High-performance ComputingONLYOFFICEQNAP Systems, Inc.Consecutive16 YrsThe Archilife Research FoundationSUN SQUARE Co., Ltd

Friend

Consecutive3 YrsAndes Technology CorporationAppier

Special Thanks

Consecutive2 YrsDepartment of Information Technology, Taipei City GovernmentSiFiveRozeta AI

Co-host

Collaborator9 YrsNTUST - Department of Electronic and Computer Engineering

Co-organizer

Collaborator12 YrsOpen Culture Foundation

COSCUP x UbuCon Asia 2026

Conference for Open Source Coders, Users, and Promoters | Asia's largest open source community conference.

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