agbell

17 ms·

151.
by agbell 6y ago
Agree, it seems like the limit of one looks like the other and we should talk about them together. And Property testing has some of the same practical implications that Rob Pike mentions of fuzzing, can it take a long time and its not clea
152.
by agbell 6y ago
Is there a clear dividing line between fuzzing tests and property based testing? They seem to use different words, but do similar things, like generate interesting input and making sure things still work when that interesting input is appl
153.
by agbell 6y ago
1. Reddit /r/programming and others 2. Twitter 3. Star Slate Codex https://slatestarcodex.com/ - I've been reading through some of Scott's great writing since the whole NYTimes things brought Scott to my
154.
by agbell 6y ago
I agree that a AOT scala would be great. But don't JITs have the ability to react to real world usage and do hotspot optimization and stuff. I assume they are very complicated to build, and if you do thing ahead of time you should, but
155.
by agbell 6y ago
I liked the first part of his book, that was a biography. The second part with the principles seemed strange. Meetings had realtime feedback dials so you tell the person listening you were bored? Every meeting is recorded and kept forever.
156.
by agbell 6y ago
Scala is a great language. I haven't done that coursera course, but many people swear by it. To me, Swift and Kotlin look like they have taken inspiration from Scala. I think Kotlin explicitly did. That idea transfer from one area to a
157.
by agbell 6y ago
Interesting! I can see why that might be a better model for the places it can work.
158.
by agbell 6y ago
Great Analysis! I agree that languages are becoming more like Scala. I'm not sure about the JIT part though. Aren't many of the recent language success stories now about AOT compiled languages like Go, Rust and Swift?
159.
by agbell 6y ago
Very cool. I'll check it out! It does look easier to setup. Does it work the same way? By adding a trusted CA into the keychain list? The docker use-case is tricky, as images are immutable so you have to basically create a new image wi
160.
by agbell 6y ago
Author here. MITMProxy is a tool I reach for when I need to know what requests and responses something is making. I was introduced to it when tracing bugs between a docker client and non-api conforming docker registry. But since then I find
161.
How to Man in the Middle HTTPS Using Mitmproxy(blog.earthly.dev)
2 points by agbell 6y ago|5 comments
162.
by agbell 6y ago
This essay was published as part of a book and I got an interview with Stephen setup by his publisher when it came out. The interview was so much fun. We had an hour booked and ended up talking for much much longer until he had to leave to
163.
by agbell 6y ago
Thanks! My understanding is they are looking at page management activity and whether it increases above what they would expect if they didn't notify. Some of the details are covered in the paper [1] >The Markov Decision Process (MDP
164.
by agbell 6y ago
Bandits being reinforcement makes sense! Thank you, if you are looking for a recommendation "Software That Doesn't Suck" is a personal fav: https://corecursive.com/software-that-doesnt-suck-with-jim-b...
165.
by agbell 6y ago
Thanks for reading or listening to the episode! I think that is the hardest question, what to optimize for. Jason mentions that facebook employs social scientists who help set what the value is they are optimizing for. > I don’t work on
166.
by agbell 6y ago
Isn't multi-armed bandit a simple reinforcement learning algo? It is used in reagent's introductory tutorial: https://reagent.ai/rasp_tutorial.html Replying here to sibling: Thank you for the feedback. I think it
167.
by agbell 6y ago
I know very little about ML, being just the host, but I think 'explore vs exploit' trade off that Jason mentions sounds like an improvement on pure 'exploit'. Explore is finding new interests and not just exploiting exis
168.
by agbell 6y ago
Interviewer here. Happy to answer any questions or take any feedback about the episode. Jason Gauci joined facebook to try to solve some problems with the newsfeed using reinforcement learning. He originally got into ML via training bots t
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Reinforcement Learning at Facebook(corecursive.com)
103 points by agbell 6y ago|28 comments
170.
by agbell 6y ago
There was also a great explanation of why Pony and not Rust or Erlang, at least of that use case. I was the interviewer. "Pony: How I learned to stop worrying and embrace an unproven technology", a talk Sean gave about Pony is rea
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AWS in Plain English(expeditedsecurity.com)
3 points by agbell 6y ago|0 comments
172.
Start Your Own ISP(startyourownisp.com)
4 points by agbell 6y ago|0 comments
173.
The brains of jazz and classical pianists work differently(medicalxpress.com)
2 points by agbell 6y ago|0 comments
174.
Improving Testing and Continuous Integration in Phoenix(phoenixframework.org)
2 points by agbell 6y ago|0 comments
175.
by agbell 6y ago
I worked on this change and am happy to answer any questions about how the build was structured. Elixir and the Phoenix Framework are pretty interesting projects.
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Improving Testing and Continuous Integration in Phoenix(phoenixframework.org)
2 points by agbell 6y ago|1 comments
177.
by agbell 6y ago
For anyone wondering if the Idris book works with v2, I found this [0]. Some code examples in the book need adjustment to work in Idris 2. The Book is great fun. https://idris2.readthedocs.io/en/latest/typedd&#x2F
178.
by agbell 6y ago
Great list! I wish there were a term like novella for non-fiction. Many of these, I suspect are not book length but more essay or novella length (< 30,000 words ). That is fine, I don't need people to pad out a book, but I'd li
179.
Migrating Your Open Source Builds Off of Travis CI(blog.earthly.dev)
2 points by agbell 6y ago|0 comments
180.
by agbell 6y ago
I think you are right about Lex and also thanks for the compliment! Even if you know about branch prediction, then asking the guest to explain it, maybe even pretending not to know about it, is a great way to have concepts introduced and ma

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