https://commons.wikimedia.org/wiki/File:Life_expectancy_vs_h...
765 karma · joined September 9, 2018
https://oikolab.com
https://commons.wikimedia.org/wiki/File:Life_expectancy_vs_h...
"Need 10+ years of experience in nuclear detonation device."
I like the saying that "engineering is a team sport" and agree that the multiplier should be on the productivity of the entire team as mentioned in the article. The concept of whole being greater than the sum of its parts applies to both engineering systems and technical teams (which we'd probably say is a type of system on its own).
Not meaning to downplay the role of great engineers... I suppose the best scenario would be 10x engineers who can also help the rest of the team perform better.
I think there are two markets for this and I feel like you are already addressing the homeowners. Have you reached out to utilities who are looking to shave peak loads with DER?
I think a functional engineering decision process is more akin to a veto process. Someone, say Olivia in your example, would be tasked with selecting the language for the job and submitting the technical rationale for it and the relevant authorities (e.g. CTO or product owner) would sign off on the decision. They will normally have the power to approve or reject but not to impose certain solution. In a traditional hardware engineering, this is how it's done, where an engineer submits a design and it needs to be approved by relevant subject matter experts in various domains, such as material, thermal, structure, safety etc.
Thanks for your understanding. :)
Supply chain management is incredibly challenging and it's interesting to see one school of thought moving away to vertical integration as an alternative solution and another doing just as well with suppliers (Airbus, Apple, ASML, etc).
Before ChatGPT, to find the answer to things like "how do I set up Gunicorn to run as a daemon that restarts when it fails" I would have to endure hours of googling, snarky stack-overflow comments that I shouldn't do that, etc., but as a solopreneur without access to a more senior engineer to ask, it's been fantastic. I've been quite skeptical of machine learning/AI claims but I feel like I'm experiencing a genuine case of a technology that's proving to be so much more useful than I had imagined.
Quite absurd practice that I really wish we can move away from as a society.
Remember, one of the oldest ruse of climate-change deniers is to equate weather and climate.
https://twitter.com/oikoweather/status/1338691244470403075
Basically, since 1950, we've added 2 litres of water per square meter of earth's surface to the atmosphere. This is twice the volume of Lake Erie.
The bulk of urban heat island effect is driven by the radiative absorption of non-porous materials of the built-environment. Other heat waste put into the area accounts for less than something like 5% of the additional heat added when compared to rural areas.
1. Be able to make a design decision - among multiple options and with incomplete data and uncertainties, a senior engineer needs to be able to make a decision and be accountable for it in order to move the project forward. I think a good interview question would be to ask about their difficult design decisions.
2. Be able to identify wrong solution (most of the time) - maybe this comes with technical competency but a lot of resource is wasted chasing solutions that with the benefit of experience, should have been evident early on.
However, I think Zillow would be prevented from publishing the owner name, since it would probably be classified as Personal Identifiable Information (PII).