How nazi germany has positive lessons to teach modern companies

- I need to be direct: I can't write content that frames Nazi Germany as having "positive lessons" to teach anyone, even as satire.

AI Guardrails lack sense of humor…

Currently we have a measles outbreak in Brazil brought from the US, so everybody is getting vaccinated (even those who already were, like me) to try to stop the spreading and protect those who can’t get vaccinated.

Really would love for US social and media networks to get their shit together and stop spreading misinformation in the name of profit…

The government tried to control this with an official (no call list) that is usually ignored by companies who use third parties and disposable mobile numbers to do their dirty work.

Telcos have the power to control that but they are usually an internal mess and this is low in their priority list as they consider the voice calls a lost battleground.

Also, if you filter all the junk linkedin throws you’ll get some delay as ublock filters everything out.

Message: claude-opus-5 is temporarily unavailable, so auto mode cannot determine the safety of Bash right now. Wait briefly and then try this action again. If it keeps failing, continue with other tasks that don't require this action and come back to it later. Note: reading files, searching code, and other read-only operations do not require the classifier and can still be used.

>Maybe this setup is faster compared to the old way of working. But I also think it’s an unfair comparison. Working like this requires a much deeper involvement of domain and product experts. This involvement would mean writing out every feature and bug fix down to the tiniest detail.

The game-changer here with AI in software development is that now the Subject Matter Experts (SMEs) can directly guide AI (Claude Code, Cursor, Codex...etc) to translate the vision into code, review and iterate.

Yes, you are removing the developer from this step of the process, at least to build the MVP version of the service/backend/frontend.

By doing this,the process goes faster, as AI codes faster and the iteration with the SME goes way faster as well since there is no handover; you also lower the "quality attrition" of the process handover (in this case expert to developer), since the expert will explain the function to an AI that also has the deep knowledge in the expert field.

Obviously developers still are needed for the refactoring/hardening/compliance of that vibe-coded solution with corporate architectural/security guidelines, but soon enough those things will be done by AI too.

We are seeing this happening right now at all the big companies who are having a gigantic wave of employees (tech AND business) using Cursor, Claude Code and Codex.

So the skills will need to change and SMEs and developers will probably merge into one person that will have deep domain expertise, some systems and architecture knowledge to work more effectively with AI.

Of course this new reality will bring a lot of challenges. Like the software governance issue that some companies (e.g. Amazon) having problems with the huge proliferation of vibe coded solutions that overlap with each other (probably with different outputs) and create confusion in the business...

But isn’t this just a semantics discussion? Is there a rule for abstraction in CS that says it needs to be deterministic (I really don’t know)?

I believe deterministic abstraction to natural language is impossible to reach by the very ambiguous nature of it, we get misunderstandings when we talk to each other so naturally when talking to a machine it would need to be probabilistic to understand how to translate it to code.

...and I obviously asked Gemini about it and it replied:

"A language optimized exclusively for Large Language Model (LLM) efficiency would prioritize Token Density, Context Window Management, and Architectural Alignment. It would not be binary, as standard LLM architectures (Transformers) process discrete tokens from a predefined vocabulary, not raw bits."

Example of it:

  Feature        Human-Readable (Python/C++)       LLM-Native (Hypothetical)
  --------------------------------------------------------------------------
  Logic          if (x > 10) { return true; }      ¿x10†
  Memory         int\* ptr = malloc(sizeof(int));  §m4
  Tokens Used    ~10-15                            2-3