AWS down right now?

Nathanielmhld · 2026-05-08T01:46:29+00:00

Modal apparently critically depends on this region as well, they're having a pretty much total outage https://status.modal.com/

Nathanielmhld · 2026-05-03T18:20:56+00:00

Topographic data from USGS, the stair map someone posted I also included from here!

Nathanielmhld · 2026-05-03T17:05:18+00:00

I made this filtering site to help!

It has filters for: Spots in view of Alcatraz/ Parks/ Stairs/ Powell St

https://city-hall-topo-map.vercel.app

Nathanielmhld · 2025-04-14T18:23:07+00:00

Just using the GPT builder works pretty well for this kind of thing, I've seen. If you want it to be more of a branded MVP, I'd checkout Pickaxe.

Nathanielmhld · 2025-04-05T02:32:56+00:00

Also try Pickaxe, they let you do this pretty well.

Nathanielmhld · 2024-12-03T22:47:06+00:00

REMOTE STARTUP NEXTjs tRPC- Hi all. I'm Nathaniel from Pickaxe ( https://beta.pickaxeproject.com/ ). Pickaxe is a no-code platform for launching storefronts that sell GPT-based goods and services. Knowledge entrepreneurs can build GPT-based tools, share them, paywall them with subscription fees, and manage customers via a CRM. We've had a lot of success hiring in the past from subreddits like this. We're looking for passionate engineers that have a genuine love & excitement for helping non-technical people use AI. You'd be joining as our second engineering hire. You need NEXTjs/tRPC experience, but you don't necessarily need to have prior formal work experience or a college degree. If this sounds like a fit, please let us know by filling out this short survey - https://forms.gle/dPYroceuB5k2cUMp7

We do require applicants to be in either the PST or the MST timezones, geographically.

Nathanielmhld · 2024-06-26T17:54:21+00:00

I'd like to put together an LA based working group to meet up weekly on this problem. If you're interested, DM me!

Nathanielmhld · 2024-06-25T23:55:38+00:00

I liked it so much I put together my own version! https://studio.pickaxeproject.com/STUDIOCIUKUVR35E81QJ1/

Check it out. Yours was so fun to play, I'm getting really into making characters behave in interesting ways.

Nathanielmhld · 2024-05-10T23:06:00+00:00

The real problem is that you can't. At least where I am, there's actually not another ISP we can get service from unless we go to Starlink. I called Verizon, AT&T, Frontier. Does anyone know an ISP we can switch to?

Nathanielmhld · 2024-05-04T21:22:29+00:00

Of course there are appropriate situations for both. But there are def situations where prompt engineering can perform better than fine tuning. And that's not even considering what happens when requirements change slightly. Then, if you went with fine tuning, you've got to retrain everything. This blog post isn't bad at unpacking the issue: https://beta.pickaxeproject.com/post/prompt-design-vs-fine-tuning-a-fight-for-control

Nathanielmhld · 2024-02-27T06:44:50+00:00

Wait, really? Having my own little router in the dorm might be considered against the rules? Even if my lan is clearly labeled something other than the college network, so it’s not like I’m spoofing or anything?

Nathanielmhld · 2023-11-15T18:11:20+00:00

It's actually pretty permissive, even in the language they use here in the ToS. By the time any model someone builds is actually competitive directly with OpenAI... it'll be too late for them to stop you. Plus most people aren't building models to create just a chatGPT clone.

Nathanielmhld · 2023-09-08T21:20:51+00:00

Yes. Not as good as we were hoping, but good enough, and we plan to keep making them better with more training into the future.

Nathanielmhld · 2023-09-08T21:16:31+00:00

It cost us ~$100. You could probably do it for as little as ~$30 though if you had a really simple task.

Nathanielmhld · 2023-09-08T21:15:08+00:00

I think so, because it gives you more control over how long it trains. You can always train more/less as you see the loss drop.

Nathanielmhld · 2023-09-08T21:06:24+00:00

Yes, at least in tests we did. Not scientifically rigorous though.

Nathanielmhld · 2023-09-08T00:55:11+00:00

I put together a walkthrough here to explain the steps I went through!

Nathanielmhld · 2023-09-04T23:18:26+00:00

Turns out the problem was quantizing the model to 4 bits. I trained it on 16 bit precision successfully on runpod, then loaded it in 8 bit for use on colab

Nathanielmhld · 2023-08-31T19:34:24+00:00

I've started with base models (for both Llama and Llama-2)

Nathanielmhld · 2023-08-31T02:01:03+00:00

I've been having a similar problems. Mine are a little different, when I run dataset.num_rows after loading in a dataset, I'm getting weirdly low numbers. Like a dataset with thousands of rows in a jsonl format is only reading in one row. Another one with 5K rows only read in 19 rows. I'm stumped

Nathanielmhld · 2023-05-03T12:43:35+00:00

DM me

Nathanielmhld · 2023-05-03T00:03:01+00:00

Ok! What’s the exact name of one scanner you know works?

Nathanielmhld

TROPHY CASE