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The Craft of Design Engineering
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A hands-on book for designers who want to level up.
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https://t.co/wzVKa59NrD
We are trying to build a free LeetCode for AI researchers. You can learn how to code core ideas from important papers across various areas (e.g., LLMs, JEPA, RL, diffusion), contribute to the problem bank, and importantly, post your thoughts to find like-minded people for collaboration or job opportunities.
Of course, the current version is still far from mature, so anyone who wants to help us with this project is welcome!
Is this what Einstein felt after the discovery of quantum?
Anyway, I genuinely still think humans will find a way to do meaningful things even if AI keeps getting better and better. Just gotta keep learning and reinventing everyday.
I think it’s still very important to do things by hand when you’re learning. I’ve tried building stuff with agents and tbh I can ship plenty but I definitely don’t understand much of it if I haven’t familiarised myself enough with it before. But damn it makes me feel left behind.
"How do u even know what good looks like?"
This has been my qualm with Agentic coding as a junior, AI spits out something & I just review it with other 3 agents & merge it.
Till last year it was thorough discussions within team on design & I used to learn a lot about stuff by just being there; now it's, "Just ask claude & see what it says."
Those team discussions, design stuff & nerding out on topics has been lost, idk about others but I've experienced it.
So, I'm now learning through building by hand & AI on the side to discuss, but seeing everyone building autonomously with agents also makes me feel left behind alot.
The thing is idk enough about things, so I can't rely on agents to build for me & expect them to be good at what they are outputting, all I can do is review with agents & test the output.
Even if i ask AI what it did, reading through it feels cheap & I forget it anyways, coz I didn't write it.
Nobody wants me to learn, they want me to deliver & ship like a worker on an assembly line.
If you’re tying to understand transactions, you should definitely know the following concepts in detail and should be able to explain them:
0. ACID
1. Read committed
2. Snapshot Isolations
3. Repeatable Reads
4. Serializability
@noahlt When do you decide that it's time to ask gpt for an explanation?Like you're reading some proof and trying to understand but unable to. Do you try to think for longer hours until you figure it out or just ask gpt to explain it? How do you then build intuition for unknown problems?
This is a slide from Terence Tao's 'Math 2.0' public lecture yesterday evening at Caltech. I am highly confident that, if the cure actually worked, almost any Stage 4 cancer patient would tell you that human comprehension of its mechanism is completely irrelevant to them.
Met a kid today who taught himself AI with LLMs at 14 while barely speaking English, worked a 1yr long internship in a top AI company, flew across the world to attend a top 10 US undergrad, dropped out in 2 weeks, and has 5 ~$1M+ job offers from the top neolabs in SF at age 17.
Traditional education is so dead.
The young kids today are just built different.
All the interviews I’ve given this year have been just like 2023. Once I’ve also been rejected for advocating that we should use AI for most of our work if not all.
i feel like swe interviews could probably collapse into just 2 technical rounds:
• system design (how well can you articulate your ideas, do you actually know how to engineer something)
• onsite project to build a real thing with agents (can you translate your intent into high quality outcomes)
everything else we used to ask is no longer necessary
I've been deep in system design lately and wanted a place where I can just open a blank board, build systems, try different approaches, practice interview questions and review things later.
So, I'm building SDXBoard 🛠️
Will be sharing progress along the way. Link coming soon.