haxton

6 ms·

1.
by haxton 10mo ago
Why is this AI generated slop so highly upvoted?
2.
by haxton 1y ago
California has banned non competes since 1872. You might be thinking about non solicits which was 2024 also reaffirming the ban on non competes
3.
by haxton 1y ago
Unrelated. Has nothing to do with the gcp outage that was related to.
4.
by haxton 1y ago
Always treat startup equity as 0 until you've sold it.
5.
by haxton 1y ago
> Custom OAuth implementation with user registration/login Please don't. At 2 minute glance you are allowing empty state (csrf) and bearer tokens in query string[0], not checking if token is expired or not[1], storing secrets i
6.
by haxton 1y ago
> The former Google employee It's literally like the 3rd sentence...
7.
by haxton 1y ago
I've been about it as "throwaway software." Why bother searching for someone else's mediocre LLM generated software when I can just as easily (and hopefully as cheaply) generate the same thing, but it just works for me
8.
by haxton 2y ago
Kindle has been doing this for years and has really made me a loyal customer to them. Always surprised the penny pinchers at Amazon haven't killed it yet.
9.
by haxton 2y ago
The demos I see for these types of tools are always some toy project and doesn't reflect day to day work I do at all. Do you have any example PRs on larger more complex projects that have been written with codebuff and how much of that
10.
by haxton 3y ago
Less of a HN issue and more google allowing UGC on their research subdomain
11.
by haxton 3y ago
My favorite example is the asana loader[0] for llama-index. It's literally just the most basic wrapper around the Asana SDK to concatenate some strings. [0] - https://github.com/emptycrown/llama-hub/blob/
12.
by haxton 3y ago
gpt3.5 turbo is (mostly likely) Curie which is (most likely) 6.7b params. So, yeah, makes perfect sense that it can't compete with a 70b model on cost.
13.
by haxton 3y ago
Elbow method is a good place to start for finding the number of clusters.
14.
by haxton 3y ago
Curious to know what value you've seen out of these clusters. In my experience k means clustering was very lackluster. Having to define the number of clusters was a big pain point too. You almost certainly want a graph like structure (
15.
by haxton 3y ago
GPT4[0] is actually very good with base64 to the point where it makes perfect sense. I'd be interested in how well you could finetune 3.5 to use different compression. [0] - https://platform.openai.com/playground/p
16.
by haxton 3y ago
Definitely a difficult problem you're taking on here, but I don't see anything specific to LLMs here? How or why are you marketing towards LLMs? How do you compare to the larger players here already Nango[0] and Merge[1] ? I'
17.
by haxton 3y ago
I had interviewed with Uber's ATG years ago and their pitch, even then, was that they were building a platform for whoever won the autonomous game to be available on uber, not just their own cars. Interesting they kept that strategy ev
18.
by haxton 3y ago
I played with building out a graphql mesh [0] of a few different APIs as I was curious to see if I could build one schema (and subsets of it) and have GPT interface over that. Turns out, it did a pretty good job if you can provide it the ri
19.
by haxton 3y ago
I don't think this argument really holds up. GPT3 on release was more expensive ($0.06/1000 tokens vs $0.03 input and $0.06 output for GPT4). Reasonable to assume that in 1-2 years it will also come down in cost.
20.
by haxton 3y ago
Would you prefer "LLM Reverse Engineer" then?
21.
by haxton 3y ago
Nope. I have a fair bit of buffer / savings, and felt like this was an opportunity that I just couldn't pass up, so committed to it.
22.
by haxton 3y ago
Actually just quit my job at Meta to do just that. So you're not far off, I think you'll be surprised at how many ex-FAANG startups you'll see in the comings months. At least in our blind chat it seems there are several other
23.
by haxton 4y ago
Are you using opencharka[0] then? I investigated that a while ago and was not very impressed or happy with any code that it generated, but curious to see if you've figured something else out. [0] https://github.com/prem
24.
by haxton 5y ago
> Try finding a smartphone under 250$ Jio. > try advertising any small business on the internet Facebook is the dominate player here. > try avoiding meets meeting when you apply for a job Zoom? Bluejeans?
25.
by haxton 6y ago
Hi! I'm an engineer here at Retool. I actually did build just this (a basic diffing logic tool) not long ago. It's currently behind a beta flag, but I opened a PR up this morning to get this to ship to production. If you're a
26.
by haxton 6y ago
Title is wrong. See correction from article: >Correction: The possible fine mentioned in Twitter’s 10-Q was not related to the recent bitcoin scam security breach.
27.
by haxton 7y ago
No. For the same reason why you cannot go into a crowded movie theatre and yell "FIRE!"
28.
by haxton 7y ago
I'm no fan of Musk's, but it's so disingenuous and discrediting to say things like that. Musk very clearly did _not_ get stoned with Joe. Taking a puff off of a joint is akin to taking a drink or two of beer. You're goin
29.
by haxton 7y ago
You don't even need the amortized insertion. You know the max set size from the original list of items.
30.
by haxton 7y ago
Well, that is self plagiarism. Although I don't agree with the question or how that was handled, it is using your previous work without citing that you had previously written it.

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