Recent submissions

Comment · 17 days ago
Hey!

Yes I prepared, classical grind on leetcode, easy/medium (no hards), Neetcode 75, and etc

So, it's not like I ignored the preparation step, it's like that there's a specific "game" and "format" they're waiting for.. Because regardless of the fact that I'm choosing correct data structure or finally implementing solution (sometimes semi-optimal, but working), it doesn't count that I'm vocalizing the logic and explaining how I think. Looks like they're looking for perfect execution

But again it was just my experience, might not be representative

I don't mean to sound depressive, this whole step just frustrates me (I'm 10+ years in the industry, working on high load backend systems)

Comment · 18 days ago
I failed every LeetCode style interview I've ever attempted. I mean, I'm lucky to even be filtered for the interview nowadays.. However, I failed not because I couldn't solve the problems. I solved them (honestly, without any AI). I just rarely solved them the way the interviewer wanted.
Comment · 27 days ago
It's about time to reread books by James Hollis

"Under Saturn's shadow" for instance

Comment · 1 month ago
Actually

Quickly they'll find a way to commodify the tech

Same happened with electric cars (modern Teslas are joke in comparison with BYD). Same will happen with AI

Comment · 2 months ago
AWESOME!!!!
Comment · 2 months ago
The most overlooked event of the year started in late August and is running as you read this: the Marin project out of Stanford is pretraining a 535-billion-parameter model with every metric streaming to the public in real time. It's the largest fully open, live-streamed frontier training run anyone has ever attempted.
Comment · 2 months ago
Yet people sell vector DBs solutions as if it's a guarded magic knowledge

Whole LLM agent tool call with ripgrep gives 99% use cases right lol

Comment · 2 months ago
American people are fed propaganda that Chinese are bad people with bad tech etc

In fact, it's often superior

Looks at cars, BYD, Geely etc...

Looks at neural networks benchmarks...

Comment · 3 months ago
Ah, yearly I hate/love nix post..

I tell you what. Ever since I migrated my dev workflow to nix package manager (and home manager for system depa), my life became simpler like 10 times

I can configure any macos machine in like 20 mins (I use Determinate)

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