elijahbenizzy

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31.
by elijahbenizzy 2y ago
There are a whole bunch of assumptions here. But sure, if you view the world as a closed system, then you have a decision as a function of inputs: 1. The world around you 2. The experiences within your (really, the past view of the world ar
32.
by elijahbenizzy 2y ago
This is humorous (and well-written), but I think its more than that. I'm always making the joke (observation) that ML (AI) is just curve-fitting. Whether "just curve-fitting" is enough to produce something "intelligent&q
33.
by elijahbenizzy 2y ago
I'm really curious to see how this will work with async. There's a natural barrier (I/O versus CPU-bound code), which isn't always a perfect distinction. I'd love to see a more fluid model between the two -- E.G. if
34.
by elijahbenizzy 2y ago
The title display is very clever but I really wonder if it would have as much of a punch if they displayed that one extra line on the "m"
35.
by elijahbenizzy 2y ago
Hey folks! Wrote a post on using Hamilton's async integration to build lightweight, scalable, and self-documenting LLM pipelines in python. Would love feedback/interest!
36.
Async Dataflows in Hamilton(blog.dagworks.io)
1 points by elijahbenizzy 2y ago|1 comments
37.
Streaming Chatbot with Burr, FastAPI, and React(blog.dagworks.io)
1 points by elijahbenizzy 2y ago|0 comments
38.
Streaming Chatbot with Burr, FastAPI, and React(blog.dagworks.io)
2 points by elijahbenizzy 2y ago|1 comments
39.
by elijahbenizzy 2y ago
Hey folks -- enjoyed writing this how-to on using SSEs to stream text back. The technologies are fairly specific but the components can easily be used individually.
40.
Rewriting Wren AI LLM Service for 1500 Concurrent Users(blog.getwren.ai)
5 points by elijahbenizzy 2y ago|0 comments
41.
by elijahbenizzy 2y ago
There's an interesting debate here -- see this tweet. https://x.com/ylecun/status/1769137037959913690 . Cool to see an actual article on it as opposed to speculation from personal experience. Now for some spec
42.
by elijahbenizzy 2y ago
heh, me guarding my area I wrote my name in heavily for a bit
43.
by elijahbenizzy 2y ago
It's really fascinating that most things in the US economy inflate (commodities, services, housing, etc...), but some things just inevitably deflate (TVs).
44.
by elijahbenizzy 2y ago
100% team rebase -- I think the fear comes from "rewriting history", which sounds scary until you realize that git is entirely immutable data store (through the API at least). Blockchain for the win! I find merging to be extremely
45.
by elijahbenizzy 2y ago
Agreed — also I’m generally against prototyping stuff and then entirely rewriting it for production as the default approach. It’s a nice idea but nobody ever actually rewrites it (or they do and it’s exceedingly painful). In true research i
46.
by elijahbenizzy 2y ago
I really like the idea of "good" and "bad" abstractions. I have absolutely built both. This sentiment is echoed in this comment in reddit comment as well: https://www.reddit.com/r/LocalLLaMA/com
47.
by elijahbenizzy 2y ago
Oh my god I barely even remembered this until the sound + the name popped right back. Wow!
48.
Burr: Build AI Applications as State Machines(burr.dagworks.io)
3 points by elijahbenizzy 2y ago|0 comments
49.
by elijahbenizzy 2y ago
This is delightful. I think that the hardest part (that, honestly, he absolutely nailed) is defining "rare" and "move" -- not only did he come up with reasonably satisfactory definitions, but he also was able to walk us
50.
by elijahbenizzy 2y ago
Backpropogration is just an application of the chain rule -- cool that we all learned it in high school!
51.
by elijahbenizzy 2y ago
Nice! These can make code a ton simpler. Also no python dependencies, which is a requirement for me adopting. Would love to see this brought into the standard lib at some point.
52.
by elijahbenizzy 2y ago
You’re telling me god didn’t cut corners? /s Yeah, reacting to so much perceived information being represented in such little code. Versus billions/trillions of weights in LLMs…
53.
by elijahbenizzy 2y ago
Fair enough. More reacting to the concept of a blockchain which is like old news and an extremely inefficient way to do 90% of what people are (we’re) trying to do with it. Will read!
54.
by elijahbenizzy 2y ago
Yeah so I’m lucky that I work in/adjacent to the space so it doesn’t get buried. Otherwise I think it’s near impossible to retain learning without practice.
55.
by elijahbenizzy 2y ago
Meh I don’t (they’re clearly imperfect) but I’m more wondering if we’re leaving lots of efficiency on the table in approaches to modeling the world.
56.
by elijahbenizzy 2y ago
that’s spectacular — the information density we perceive is off he charts for such a small amount of code. Makes me wonder if LLMs aren’t the best way to model the world at all…
57.
by elijahbenizzy 2y ago
I think the opposite. There is value in intelligent software, but IMO we’re a long way from AGI. So lots of grifting but some gold along the way. And it’s intellectually interesting/nuanced (cool math, interesting infra), unlike crypto
58.
by elijahbenizzy 2y ago
What's cool (and tough to keep up with) with this wave of tech is just how quickly it moves. On the plus side there's a lot of interesting things and it is generally easy to follow/figure out what they did. On the minus side
59.
Tools can multiply or divide productivity(blog.dagworks.io)
1 points by elijahbenizzy 2y ago|0 comments
60.
by elijahbenizzy 2y ago
“Peak baby” is an objectively bad thing

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