1,915 karma · joined July 5, 2014
Relatable example: I needed to schedule a Pediatric appointment, her assigned Dr was on vacation, and the first receptionist stonewalled on switching Drs within the practice. The second one did it in 2m on her side and guided me to updating insurance in 2m on my side.
My company went through executive changes, layoffs, etc. I thought it was VERY clear that our senior manager handled the situation extremely poorly. At least a few people agreed with me, so imagine my shock when several others not only defended him but joined his next company.
I am reminded of that when people assume "interpersonal dynamics are obvious to all involved", which is often.
“Regulation obviously has a critical role in protecting people and the environment”
and then quantifies “a mindblowing $40m/year in healthcare costs” and a total of “about $400M” in societal cost from one delay, mostly borne by the public.
In that context, the line you are reacting to is just one item in a long list:
“We’ve also spent untold millions on regulatory affairs at all levels of government, not to mention the missed acceleration in sales”
He even says,
“What pains me most is the 5 years of lost carbon removal and pollutant reduction”
So the piece is not “regulations bad, profits good.” It is: regulations are essential, but the current process is generating huge public harms by slowing down tech whose whole purpose is to reduce pollution.
Maybe he’s wrong on any given point, but he’s clearly trying to describe the utilitarian trade-offs in good faith
I don’t have any domain knowledge, but I recently saw an executive put in restaurant reservations for five different places the night of our team offsite, so he would have optionality. An article could accurately claim that he later canceled 80% of the teams eating capacity!
I was deeply burned out at the 14 mark with my first child. I did lots of things since then and am much better even after more children.
That said, here are some of my own, condensed across experiences:
- An executive wanted to use ML, couldn't get enough political capital to build a full-time team (and didn't have the knowledge to interview candidates anyway). A very small consulting firm, sourced from high personal trust networks, got an MVP going. That led to a FT team getting built. Code was a mess but started the flywheel and after several years everyone agrees it was a great ROI
- A large company had a tiny team using a technology that would be standard for FAANG but they had no support or training. Zero progress for about a year. Not important enough to throw huge money at but that link in the chain was becoming a bottleneck for the core product. A consultant came in explicitly as a multi-week trainer, and but the team just never got up to speed. Consultant's code examples grew until they were just direct bugfixes, and though nobody was happy, at least the crisis was resolved.
- A product finally reaches product market fit. Executives decide to hire only after the team is drowning in tech debt. But it has to be full time, and it has to be junior. It takes months, then requires training. Tech debt is twice as bad as the original crisis level when the new hire becomes value positive. For some bizarre reason he leaves after exactly 2 years.
Many consultants have a branding problem: Their biggest victories are fixing a disaster that their clients would rather not talk about publicly. Hard to put on a billboard, if you ever want work from that client again!
1. What other course of study are you confident would be better given an AI future? If there's a service sector job that you feel really called to, I guess you could shadow someone for a few days to see if you'd really like it?
2. Having spent a few years managing business dashboards for users, less than 25% ever routinely used the "user friendly" functionality we built to do semi-custom analysis. We needed 4 full time analytics engineers to spend at least half their time answering ad hoc questions that could have been self-served, despite an explicit goal of democratizing data. All that is to say; don't over estimate how quickly this will be taken up, even if it could technically do XYZ task (eventually, best-of-10) if prompted properly.
3. I don't know where you live, but I've spent most of my career 'competing' with developers in India who are paid 33-50% as much. They're literally teammates, it's not a hypothetical thing. And they've never stopped hiring in the US. I haven't been in the room for those decisions and don't want to open that can of worms here, but suffice to say it's not so simple as "cheaper per LoC wins"
Can you be more specific about the counterfactual? I’m assuming you’re not imagining that the country’s population would have just fallen to 0 absent aid, but I can’t figure out how you’re so sure things would have been better run
https://www.bicycling.com/news/a26081001/cyclist-turned-bank...