leetcode seems to agree with your definition [0]. the meme isn't to say that inverting a binary tree is particularly difficult - anyone familiar with coding challenges and trees could trivially produce a solution. the meme is more pointing out how ludicrous it is that senior/staff/principal interviews can hinge on these types of problems, despite the engineer proving their proficiency by doing something like running DOOM in typescript types or writing homebrew [1]. [0] https://leetcode.com/problems/invert-binary-tree/description... [1] https://x.com/mxcl/status/608682016205344768
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Isn't that the point of vibe coding? You don't even look at the code. Just trust the llm to take the wheel. https://x.com/karpathy/status/1886192184808149383?lang=en
https://twitter.com/naval/status/1002103497725173760 > Seek wealth, not money or status. Wealth is having assets that earn while you sleep. Money is how we transfer time and wealth. Status is your place in the social hierarchy. https://twitter.com/naval/status/1002103627387813888 > Ignore people playing status games. They gain status by attacking people playing wealth creation games. From @naval’s Twitter thread “how to get rich (without getting lucky)” https://twitter.com/naval/status/1002103360646823936 My note: wealth is options; options are freedom, and buying your time back. Only play status games if you’re playing for fun, but don’t confuse it with success and freedom.
Very nice thread by the former CEO of Reddit about online behavior, moderation, etc: https://x.com/yishan/status/1586955288061452289 Per the thread, it’s possible this problem could’ve been solved by burying the site in affiliate links…
I like that this story references the #deleteUber tag on Twitter because it helps organize the timeline of events going on at Uber. There was another twitter thread on here recently about the chaotic and disastrous (though successful) Swift rewrite they did which happened during the same time frame. https://twitter.com/StanTwinB/status/1336890442768547845 During those time frames is also when all of the execs were quitting or being fired, along with their internal harassment problems. It feels like Uber has really succeeded in spite of itself.
>WASM vs a container runtime isn't a meaningful comparison because they're at different layers of the stack. It's not just comparing pure WASM (bytecode) but the WASM+WASI (runtime) which is what this article's WasmEdge (runtime) is about. It's a meaningful comparison when the original creator of Docker containers also compared them: >Solomon Hykes / @shykes@hachyderm.io @solomonstre >If WASM+WASI existed in 2008, we wouldn't have needed to created Docker. That's how important it is. Webassembly on the server is the future of computing. A standardized system interface was the missing link. Let's hope WASI is up to the task! -- from 2019-03-27t20:39:47 https://twitter.com/solomonstre/status/1111004913222324225
Every time something comes up, this is how I explain it to people: "Why Enterprise Software Sucks" https://x.com/random_walker/status/1182635589604171776?lang=...
ships like a machine yes his products being genai wrappers, some are partly yes. in his interview with lex fridman he explains how he built his recent photo ai one, yes most of it is wrapper on some ai service, but his team goes the extra mile of training models on their own so it looks more photorealistic than the generally available ones he built products before ai like nomadlist and remoteok. his hit and miss rates are as real as it gets https://x.com/levelsio/status/1457315274466594817
I've shared this link before, showing Riley Goodside's artful prompt-crafting, but it's again relevant to this topic: https://twitter.com/goodside/status/1581805503897735168?s=20... GPT-3 is perfectly capable of recognizing what kinds of things it will be bad at, and can be encouraged to generate machine-executable queries to fill in that gap. (note this is based on prompting GPT-3, not chatGPT, but the principles about what this language model is capable of apply) It can even go one level deeper - there's an example there of it generating a python script that uses the 'wikipedia' library to look up the date of death of the Queen, as a way to fill in knowledge it doesn't have. Tell it it can use the wolframalpha module to answer questions that involve complex units, quantities, or advanced mathematics, and it'll almost certainly do that too. One of the things I love is this reply to that tweet - https://twitter.com/JulienMouchnino/status/15820120109127065... "How is it possible that GPT-3 understands what a human can compute in his/her head?" Riley's quick demo prompt that shows how well ChatGPT can guess whether particular mathematical results are easy to guess matches human intuition surprisingly well.
I remember John Carmack talking about this last year. Seems like it's still pretty good advice more than a year later: "From a DM, just in case anyone else needs to hear this." https://x.com/ID_AA_Carmack/status/1637087219591659520
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