[logseq-plugin-git:commit] 2025-07-15T16:02:42.737Z

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- ### Tasks
-
- ### Notes
- First day [[15-07-2025]]
- Points for discussion
- ## First day [[15-07-2025]]
- ### Points for discussion
- Exciting and scaring times
- GenAI / Agentic systems:
- Hype? What will remain?
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- It's not a matter of visibility!
- Understand what it is needed and how to cooperate
- Can we come up with some cross-group collaboration
- [SwissLLM - Generative-KI-Lösungen Made in Switzerland](https://www.swissllm.ch/)
- **Simplify** - [Progetti Finanziati - Apprendo](https://apprendo.tech/progetti-finanziati/)
-
- [SwissLLM - Generative-KI-Lösungen Made in Switzerland](https://www.swissllm.ch/)
- **Simplify** - [Progetti Finanziati - Apprendo](https://apprendo.tech/progetti-finanziati/)
- Paper on object-oriented programming published on 1984 that seems to be similar to what is happening nowadays with generative AI
- ### Topics
- Generative AI in software development lifecycle
- Tools that provide users / delelopers with additional automation capabilities that need to be mastered. Many time we read that we should not accept AI as it i but somehow we have to master it
- I'm convinced that such tools represent one the one hand a multiplier of our capabilities and on the other hand the subject of investigations
- Ethical Aspects
- Empirical Studies
- Empirical studies vs the empirical validation of the approach you are proposing
- I can agree that requests on the empirical validation is getting tremendously on the one hand critical and on the other hand very demanding
- The availability of data like GitHub etc. initiated the field of mining software repositories field, which is similar what happens since decades in other discplines (like biology, etc.)
- Software sustainability
- What's the meaning?
- ### More
- How do we use LLMs?
- for our daily tasks
- if we use it for software development
- Who should develop tools including LLMs?
- Training and fine-tuning existing models
- Discrimination of universities depending on their possibility of training/fine-tuning