I did some basic calculations to compare the energy in the radiation vs the energy required to grow 10% extra.
- If we assume they are working in the reactor we get radiation levels of something like 1 mGy/hour. But we can prop this up to mabye 500 mGy/hour since i dont know how they grew their culture
- That leads to 0.05 J of extra energy per gram of microbial bio material.
- Energy needed to grow 1g of microbial biomaterial ≈ 3.15 kJ 10% of that is 315 J per gram
The result is that:
The amount of radiation energy available is 4 orders of magnitude too small to power even a 10% growth boost.
Edit: updated with more accurate estimations.
Sources dude...
I recently worked on something very complex I don't think I would have been able to tackle as quickly without AI; a hierarchical graph layout algorithm based on the Sugiyama framework, using Brandes-Köpf for node positioning. I had no prior experience with it (and I went in clearly underestimating how complex it was), and AI was a tremendous help in getting a basic understanding of the algorithm, its many steps and sub-algorithms, the subtle interactions and unspoken assumptions in it. But letting it write the actual code was a mistake. That's what kept me from understanding the intricacies, from truly engaging with the problem, which led me to keep relying on the AI to fix issues, but at that point the AI clearly also had no real idea what it was doing, and just made things worse.
So instead of letting the AI see the real code, I switched from the Copilot IDE plugin to the standalone Copilot 365 app, where it could explain the principles behind every step, and I would debug and fix the code and develop actual understanding of what was going on. And I finally got back into that coding flow again.
So don't let the AI take over your actual job, but use it as an interactive encyclopedia. That works much better for this kind of complex problem.
I am sorry for being direct but you could have just kept it to the first part of that sentence. Everything after that just sounds like pretentious name dropping and adds nothing to your point.
But I fully agree, for complex problems that require insight, LLMs can waste your time with their sycophancy.