Home  | News

14.11.2023

Teaser image to We are not taking part in the scaling race with our algorithms

We Are Not Taking Part in the Scaling Race With Our Algorithms

LMU News

In this interview our PI Björn Ommer shares his opinion about the current development of Large Language Models. He talks about the problematic of computing power in AI, the importance of data security and how Germany could potentially solve these problems.

«Usually buried in the operators’ small print is the fact that any data entered by users is going to be used for the operators’ own interests, for example to train the LLMs. Companies with extremely sensitive data, like in the medical sector, cannot tolerate that.»


Björn Ommer

MCML PI

#research #ommer

Related

Link to How Should Researchers Report Their Use of LLMs?

10.06.2026

How Should Researchers Report Their Use of LLMs?

Is AI making science impossible to replicate? Stefan Feuerriegel and the MCML team introduce the GUIDE-LLM framework in Nature.

Read more
Link to Benjamin Lange: The Real Risk of AI Agents is Manipulation Through Kindness

02.06.2026

Benjamin Lange: The Real Risk of AI Agents Is Manipulation Through Kindness

MCML Junior Research Group Leader Benjamin Lange examines how trust in AI agents can itself become a source of risk.

Read more
Tiny logo
Link to MCML at CVPR 2026

02.06.2026

MCML at CVPR 2026

MCML researchers are represented with 28 papers at CVPR 2026 (26 Main, and 2 Workshops).

Read more
Tiny logo
Link to MCML at ICRA 2026

29.05.2026

MCML at ICRA 2026

MCML researchers are represented with 4 papers at ICRA 2026 (3 Main, and 1 Workshop).

Read more
Link to Zeynep Akata: To Trust AI, We Need to Understand What Goes On Behind the Scenes

28.05.2026

Zeynep Akata: To Trust AI, We Need to Understand What Goes on Behind the Scenes

MCML PI Zeynep Akata explains that to trust AI, we must understand its inner workings, address foundation model bias, and make explainability central.

Read more
Back to Top