Find the note on the fretboard: infinite stress-free practice
I don’t like games or practice with pressure. That’s why I had to build a guitar fretboard practice tool, with a nod to the homework Joe Satriani gave to Steve Vai: “learn all the notes on the neck”
d-led.github.io/fret-flashca...
apps.apple.com/us/app/strin...
m.youtube.com/watch?t=1237...
BBC went from 100s of servers to 12
Insane cost savings and still able to deal with the tsunami of traffic with no risk of failure.
Think of the peace of mind it gives engineers and the business!
Programming in tiny steps is good for the psyche as you are in control.
No k8s, extra databases or message brokers needed (trade-offs may apply).
interruption-free hot code upgrade of a live svg animation
Talk is cheap. There's a difference between knowing something can be done and having done so. Sometimes you just have to externalize the thoughts by implementing them. Zero downtime upgrade of a server-side rendered animation of SVG.
#myelixirstatus #elixir #phoenix #erlang #otp
2017 AI will replace radiologists, 2022 well not really...
2019 AI will replace truck drivers, 2023 well not really...
2022 AI will replace software engineers, 2025 well not really...
2025 AI will cure cancer and provide endless prosperity, ...
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From a rather stressful interaction elsewhere: architectural rules are nice but why not enforce them via a unit test? “Ports and Adapters” pattern written out as an #ArchUnit test github.com/d-led/ports-...
“One can always use the … library / C API”! Yes, one can, but have you done so? In several talks late Joe Armstrong said “Pony is cool”. Well, actors play well together; Why not try building a #Pony C-Node to interface it with #Erlang or #Elixir github.com/d-led/otp_po...
Some discussions create an urge to try things out before discussing or committing to architectural options. From one such occasion: communicating #Python and #Elixir processes in an OTP cluster (demo): github.com/d-led/pyrlan...
Via an unfortunately abandoned library Pyrlang: C-Nodes in Python
To guard humans from these harms, it's important to understand the nature of bad actors, and how transparency and grounding in reality can help.
Recommended read by late Pieter Hintjens hintjens.gitbooks.io/psychopathco...
if you're not the perpetrator while using al, then who is? The al (is it an entity at all)? Its authors? Its operators? Its training data authors? Some poor quality gate responsible?
One thing is clear: bad actors will always gain from it, and innocent people will always pay 2/
The current al (approximation of life) algorithms remind of other topics that cause humans to fail to have a civilized discussion. As with those, the test is easy: if al is intelligent, would you trust it to fill your taxes? If an authority finds errors, who's the perpetrator? 1/
Good idea! Music makes this planet a bit more livable. Bring it back
Solving human trust by wasting electricity? You won’t solve it. Solve crime and violence first.
Humanity, stop wasting electricity on useless computations, please! Fancy pics? No need because they devalue visuals. Fancy chatbots? Build a better search engine. Generating content? There’s enough good and bad content already.
Introducing... the Stupidity Manifesto! Which might not be what you think. Have a look at it, see if you want to sign up: insimpleterms.blog/the-stupidit...
The practicality of generalizing from a single example based on previously gained world model is very useful to humans, and is all too likely to be dismissed or ridiculed for its purported systemic error and statistical insignificance. However, that’s part of real intelligence
Don’t confuse your 90+% accurate model with the infinitely complex world.
Or it’s newest fuzzy incarnation without the V?
XKCD 1205 - https://xkcd.com/1205/
I never automate anything until I’ve consulted this XKCD, and at the moment I’m still firmly in that upper left corner :o).