AI curse or blessing?
What are the attendants using AI for?
- Enhanced search engine - Assistant / bounce ideas of it to clarify own thinking, and get other viewpoints - Specific task code generation, 0 to 60% quickly. (the part after that is the harder bit) - Using it as a text assistant, making your text more compelling - Implement low/medium -difficult code, by providing API documentation and context - Social media content generation - Cooking recipies
Assumptions on effect of workforce
- Heavily reduce need for junior developers - Increased projects / investments as assumed higher productivy, lower overall cost, faster to try out ideas, new solution possibilities - New job: Prompt engineer - Major demand for skillset to train models on company data - New skill demand: Detecting fake/AI -generated data, text, images etc.
Change to developer/software professional role
- Generating code is one segment of the role - Others are likely emphasized in value as AI spreads: communication, debugging, understanding tech, product and market context, creativity, software engineer practices, architecture, logging/observability to speed up AI assisted iteration
Other implications
- Accelerate "Dead Internet" (https://en.wikipedia.org/wiki/Dead_Internet_theory) - AI vs. AI. Usage of AI to generate actions, and counterpart using AI to counter these actions. Both malicious and everyday. - Education: Emphasized need to navigate and validate information validity. - EU regulations on the way for AI limitations, US only talk at the moment. Will companies comply in their products by strictest market (EU) or ship regionally configured solutions? - "Generated by AI" and "Information is incorrect" are both interesting aspects but they are not the same. - Everything homogenised? Knowledge, music, etc.
Evolution of assisted writing:
| Spell check | Corrects you | | Grammarly etc | Rephrases for you | | Chat GPT | Generates text with you setting the context |
The responsibility remains on the author/committer/approval stamper as before.
