One simple way is it has superseded google/SO on my priority list for some reference lookups on topics I need to dabble in for work. (Like “Django custom function generate uuid”) Practically speaking, I’ve found this (most of the time) reduces the cognitive overhead of context switching. Less clicking, sifting, looking for recent answers, etc.
For slightly more complex reference on topics I’m dabbling in (Like “what’s the right way to use React hooks for this component”) the benefit of leveraging ChatGPT increases. In many cases you’re able to skip the step of generalizing your problem and you can address your needs from the “inside out”.
Inside out example: starting at some API method names and sample code for some libraries, rather than starting with a list of libraries or worse not knowing what kind of library you need yet.
Finally the place where it has had the most impact for me is as a force multiplier on efforts outside of my comfort zone as an engineer. If I have a side project idea, or if I’m trying to be ambitious in design at work, I can often discuss approaches at length with ChatGPT and walk away with several ideas, or even conclusions about how best to proceed without exhausting myself.
Tangential but may be of interest: a cool book (compilation?) that somewhat addresses this topic is ‘Ideas That Created the Future’ edited by Harry R. Lewis [0].
Is this a summary or the entire text? I think I saw messaging from Coinbase in anticipation of this proposal earlier this week. [1]
Not a lawyer but the definitions and language seem a little shallow to me considering how lofty the proposal of a new regulatory agency is.
Wouldn’t one expect a higher level of detail, supporting evidence, citations or legal precedent from consultations with “30+ crypto firms, 25+ members of congress and/or staff, 4 major law firms, and 3 trade groups”?
What is the worst case scenario that the author imagines happening to Rust due to Amazon’s influence (or anyone’s influence)?
This is unfamiliar to me - are there notable stories of what poor steering has done to a programming language? What were the consequences?
I can parse the basic grievances here on power dynamics, losing control of something you helped build…that’s familiar enough…but I’m having trouble understanding the gravity of what the author is passionate about preventing.
(In case it isn’t obvious I’ve never been a long term contributor to an open source project - genuinely curious about the context here)
For slightly more complex reference on topics I’m dabbling in (Like “what’s the right way to use React hooks for this component”) the benefit of leveraging ChatGPT increases. In many cases you’re able to skip the step of generalizing your problem and you can address your needs from the “inside out”.
Inside out example: starting at some API method names and sample code for some libraries, rather than starting with a list of libraries or worse not knowing what kind of library you need yet.
Finally the place where it has had the most impact for me is as a force multiplier on efforts outside of my comfort zone as an engineer. If I have a side project idea, or if I’m trying to be ambitious in design at work, I can often discuss approaches at length with ChatGPT and walk away with several ideas, or even conclusions about how best to proceed without exhausting myself.