Working in tech driven by a childhood passion and donating the majority of my income. Exploring working on compute governance in my free time.
Was seeking a community of people trying to optimize their impact and made the above decisions after engaging with EA core ideas.
Have you considered shaping supply/demand balance with career choices? Sometimes dynamics might be such that getting a marginal additional role filled in a field (just by market forces) would require a large amount of money to be spent (i.e. you need to increase the salaries of everyone in the field). Whereas you can simply increase the supply and get the role filled at current market rates.
Hi Steve,
My background is in computer chip component (IP) design and verification, so it is likely not particularly useful for physical projects.
But have you come across: https://tampersec.com/#get-in-touch ?
I think the usual path at the start is depicted accurately. Companies try to avoid investing in many people so labour with a given skill/experience is often scarse resource. In my industry, experienced people are approached with a new opportunity (many from well-known firms in the field) each week by headhunters without even asking for it. So when you get the message that work is needed in AI, the natural reaction is âjust tell me where I should applyâ and the answer usually is the 80k job board or similar. There is a gap there.
So I really like the Visualising your journey figures, I think these help a lot to set appropriate expectations. (I personally spent 5-15h/w on my transition in the last two years and still waiting for the first offer which meets the bar Iâve set for myself.)
So far, I mostly felt the lack of context limiting in the early days when I was actually trying to gain more context. The reason I think was similar (opportunities like 80k advising and EAGx also exected significant context). This  makes sense, but I think thereâs room for improvement by being more transparent saying things like âwe expect this opportunity to be most useful for (and hence prioritizing) people with basic knowledge about EA e.g. after doing the intro courseâ Note that I think my  background (hardware) puts me in the nieche bucket so context not coming up as a limiting factor in job applications aligns with the text.
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Is there a proposed/proven way of coordinating on the prioritization?
Without a good feedback loop I can imagine the majority of the people just jump on the same path which could then run into diminishing returns if there isnât sufficient capacity.
It would be intersting to see at least the number of people at different career stages on a given path. I assume some data should be available from regular surveys. And maybe also some estimates on the capacity of different paths.
And I assume the career coaching services likely have an even more detailed picture including missing talent/skills/experience that they can utilize for more personalized advice.
Iâd love to see more of the community encouraging people to allocate dedicated time to community/peer support. (Would be awsome to see some research on how this may impact the productivity of a team)
But also, arenât the EA communities underorganized in general on peer support? Yes, people should be proactive in finding mentors, mentees and peers. But I think the efficiency would also benefit from processes:
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Iâm seeing peer group organizing going on locally, but honestly, to me, it seems to mostly focus on the inclusion factor (which is also important) and leaves the efficient peer support part unaddressed.