sujayakar

5 ms·

1.
by sujayakar 8mo ago
I'd absolutely love to play with this. one idea I had is to train another model to create bitmaps of sidewalks and roads and add a simulation for pedestrians and cars. day/night cycle would also be so cool!
2.
by sujayakar 1y ago
switch to auto mode and it should still work!
3.
by sujayakar 1y ago
Here's an interesting negative result. After watching this video, my first thought was whether recent results from columnar compression (e.g. https://docs.vortex.dev/references#id1 ) applied "naively" like QOI
4.
by sujayakar 1y ago
Deepseek is already using SSDs for their KV cache: https://github.com/deepseek-ai/3FS
5.
by sujayakar 2y ago
I really love this space: Navarro's book is an excellent survey. Erik Demaine has a few great lectures on succinct data structures too: L17 and L18 on https://courses.csail.mit.edu/6.851/spring12/lectures&#x2F
6.
by sujayakar 2y ago
that's roughly what the wasm component model is aiming for! https://hacks.mozilla.org/2019/11/announcing-the-bytecode-al...
7.
by sujayakar 2y ago
can you specify the algorithm in more detail? this looks to be solving a different problem than A*, which operates over discrete graphs. this looks to be operating in 2D continuous space instead. so, what is the algorithm for finding the op
8.
by sujayakar 2y ago
this is unbelievably cool. ~27ns overhead for searching for a u32 in a 4GB set in memory is unreal. it's interesting that the wins for batching start diminishing at 8. I'm curious then how the subsequent optimizations fare with ba
9.
by sujayakar 2y ago
I love playing with it at UltraHigh quality and 1 solver iterations. It reminds me of gradually incorporating one ingredient into another when cooking: like incorporating flour into eggs when making pasta.
10.
by sujayakar 2y ago
+1. I'd be curious how much of a pessimization to uncontended workloads it'd be to just use `tokio::sync::RwLock`. and, if we want to keep it as a spinlock, I'm curious how much the immediate wakeup compares to using `tokio::
11.
by sujayakar 2y ago
looking forward to it! I'd be curious if y'all end up supporting adding filter attributes to the inverted index that can then be pushed down into the posting list traversal. for example, a restaurant search app may have (1) an emb
12.
by sujayakar 2y ago
very cool stuff! I just read the SPFresh paper a few days ago and was wondering if it's been implemented in industry (e.g. Turbopuffer's implementation of SPANN). I'd be curious how y'all represent the posting lists for
13.
by sujayakar 2y ago
note that convex is open source! https://github.com/get-convex/convex-backend if you don't want to manage your own infrastructure, you can use our hosted product, but otherwise it's totally fine to self-host
14.
by sujayakar 2y ago
yeah! we were talking to the antithesis folks during this project, but it wasn't far enough along when we started the project in 2016. we were heavily influenced by the original foundationdb testing talk from strange loop (wwilson, one
15.
by sujayakar 2y ago
former area tech lead for dropbox (and frequent collaborator with isaac) here! happy to answer any questions.
16.
by sujayakar 2y ago
adding to the chorus here - this is great tech. we use it internally at convex for implementing OLTP full text search. other than its runtime characteristics, the codebase is well organized and a great resource for learning about informatio
17.
by sujayakar 2y ago
we just open sourced the backend last month! https://news.convex.dev/convex-goes-open-source/
18.
by sujayakar 2y ago
hey, sujay (the author) here! happy to answer any questions about the post or convex more generally.
19.
by sujayakar 2y ago
this is a really cool idea. one followup I was thinking of is whether this can generalize to queries other than key value point lookups. if I'm understanding correctly, the article is suggesting to take a key value store, and for every
20.
by sujayakar 3y ago
super cool stuff — such deep OS integration is refreshing when we mostly just see cross-platform electron apps these days.
21.
by sujayakar 3y ago
the post calls out replication and durability, and I'd be curious to know more there too. do they replicate within a fly region? S3 replicates to multiple AZs within an AWS region -- is there an equivalent for fly? I'd be curious
22.
by sujayakar 3y ago
It's a bit old and doesn't include recent microarchitectural changes, but Section 2 of the FlexSC paper from 2010 ( https://www.usenix.org/legacy/event/osdi10/tech/full_papers/... ) has a de
23.
by sujayakar 3y ago
as someone who's followed along (in large production systems) from `eventual` to a large combinator-based `futures`-0.1 system to async/await today, I really enjoyed this post and all its historical context. despite its complexity
24.
by sujayakar 3y ago
magic pocket's tech lead (disclaimer: my cofounder at convex) has a whole talk on this concept of "durability theater" [1]! the tldr is that those numbers of 9s are just table stakes. no system should ever lose data due to ro
25.
by sujayakar 4y ago
hi! sujay from convex here. I remember reading about your "reverse query engine" when we were getting started last year and really liking that framing of the broadcast problem here. as james mentions, we entirely re-run the javasc
26.
by sujayakar 4y ago
Navarro's book Compact Data Structures is an excellent survey of this literature! https://www.cambridge.org/core/books/compact-data-structures... I love the perspective of computing the information theoretic
27.
by sujayakar 4y ago
I've been pretty happy with datadog's distribution type [1] that uses their own approximate histogram data structure [2]. I haven't evaluated their error bounds deeply in production yet, but I haven't had to tune any buc
28.
by sujayakar 5y ago
I really enjoyed this talk. How does a system with completely static resource allocation accommodate cases where the underlying hardware is actually dynamic? For example, consider hot-plugging USB devices or storage media. Would there be a
29.
by sujayakar 5y ago
Nonlinear Dynamic Systems and Chaos by Strogatz is amazing. It’s extraordinarily well-written and illustrated, and if you have some basic calculus and differential equations under your belt, it’s also quite accessible.
30.
by sujayakar 5y ago
hey, sujay (one of the authors from the paper) here! happy to answer any questions about the paper/system.

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