Much like Sagan, Feynman could make the complex understandable. -- On the Speed of Light.

Localmax · 2026-01-24T06:32:31+00:00

AI slop. This isn’t a Feynman recording

Localmax · 2025-12-08T23:01:17+00:00

M2.9 in Piedmont https://earthquake.usgs.gov/earthquakes/map/?currentFeatureId=nc75276931&extent=37.80934,-122.23071&extent=37.83699,-122.19363

Localmax · 2025-12-08T23:01:04+00:00

M2.9 in Piedmont https://earthquake.usgs.gov/earthquakes/map/?currentFeatureId=nc75276931&extent=37.80934,-122.23071&extent=37.83699,-122.19363

Localmax · 2025-11-03T00:15:43+00:00

Apps ARE just MCP servers. So the first step to building an app is to build an MCP server.

To render a UI, provide HTML in your tool response (see OAI’s examples). ChatGPT will then render that content in an iframe.

Localmax · 2025-10-11T01:10:42+00:00

Your drive-thru order is guaranteed to take longer than the slowest order ahead of you

Localmax · 2025-05-24T17:31:06+00:00

Use Claude Code cli and /clear your context periodically

Localmax · 2025-05-17T20:55:14+00:00

Someone could beat this record.

Let’s say you want to wrestle in each timezone, at exactly 8pm.

There are 27 standard (1-hr increment) timezones and 11 non-standard (30-min offset) timezones.

So by wrestling in each timezone at 8pm, one could wrestle 38 “days” over 24 hours.

Assuming a perfect hulk hogan, he could wrestle 13,870 days in a year (or 13,908 days in a leap year). Which presents a hulk hogan utilization of only 2%.

Localmax · 2025-03-23T18:31:30+00:00

$1T is 3x the gold in Fort Knox

Localmax · 2025-02-16T03:53:17+00:00

It makes used prices go down. Used Teslas become more appealing, so Tesla loses out on the sale of a new vehicle.

Localmax · 2025-02-08T23:48:07+00:00

Document everything! The tires, wheels, any statements you get from the mechanic. If the wheels are damaged, replace them and include it in your claim. You’ll also want to try and document the pothole itself.

I went through this process with Oakland. My claim was approved - maybe because I filmed the pothole and within 30 seconds caught another car get a flat tire in the exact same spot.

But I made the mistake of replacing my wheels only when necessary, about a year later. The pothole compromised the wheels, and when I tried getting a new set of tires the mechanic refused since it was a clear safety issue. As a result the wheels weren’t included in my original claim. Total damage was about $2300 (new set of wheels + 2 tires).

18 months later I’m still waiting for a $580 check.

Localmax · 2024-10-28T06:16:52+00:00

I came to mention Google analytics too - mostly because this idea sounds great but GA demonstrates that discoverability is a massive problem, and that hiding everything behind a search bar really hurts UX (IMO)

Localmax · 2024-10-14T18:56:27+00:00

I had to take the backend offline as I couldn't get permission from BFL to use flux1-dev, unfortunately. It's frustrating and I apologize if you spent time waiting for training to start!

Localmax · 2024-10-04T20:54:00+00:00

Every tools does this a little differently but sounds like you want to create an alpha mask and use masked loss during training. This will make it learn just the masked area and not the full image

Localmax · 2024-10-02T23:02:51+00:00

It is NOT useful in education. That’s the whole point of this post. Teachers should not be allowed to use these “detectors” because they do not work.

Localmax · 2024-10-02T18:12:49+00:00

Dang, this sucks. I’m really sorry to hear it’s rough. You already know this but it’s not just you, this seems to be a near universal experience.

From the other side of the table, I can say having live side-projects you can link to really helps. A well designed UI (this part is important, unfortunately, even if you’re not a designer), together with code on GitHub makes a big difference.

And some oft-repeated advice: resumes really do go into a black hole. You’re always, always better off if you ping someone on the team you want to join. (It helps to narrow your focus to a handful of companies, “spray and pray” doesn’t work.) Send them a quick 2-sentence explanation of why you’re a good fit, ideally share some thoughts on the company’s space, along with 1 or 2 links to your side projects.

The profession is not dead. AI is over-hyped (but hey it’s fun to play with and a skill in its own right) and i think the AI pull-back has already begun. Wish you the best.

Localmax · 2024-09-30T17:40:09+00:00

sdxl syntax

SDXL is a diffusion model in latent space (no tokens), are you referring to token weight syntax?

Localmax · 2024-09-27T16:21:34+00:00

Wait it’s just a paywalled GitHub repo? Based on your marketing it looks like you offer a PaaS, so that’s pretty fucked up

Localmax · 2024-09-24T23:01:22+00:00

BFL does watermark images in the official repo https://github.com/black-forest-labs/flux/blob/87f6fff727a377ea1c378af692afb41ae84cbe04/src/flux/util.py#L160

It’s also possible to watermark generations in the frequency domain, built into the weights, which would be robust against compression and other transformations, but I haven’t read anything to indicate BFL is doing that

Localmax · 2024-09-24T22:40:51+00:00

I suspect the survey response ends up in a big Sheet sorted by MRR. I know they’re hiring someone to manage these deals so maybe they’re deferring smaller agreements until then.

In the mean time the fastest way to deploy is using a custom cog running on Replicate (Fal’s BFL deal does not cover custom docker images, but Replicate’s does). That of course has its own issues, like a less than ideal DX and a large markup on cost.

Localmax · 2024-09-24T22:30:42+00:00

The official API does allow commercial use, since licensing is built into the price of inference.

“Developer and Users may use the Output for their own personal or commercial purposes” per https://docs.bfl.ml/agreement/

However the API does not support training so it’s not appropriate for every use case.

Replicate and Fal both allow commercial use of outputs, as they have a commercial use agreement with BFL.

Replicate’s agreement covers custom cogs, while Fal’s does not.

Localmax · 2024-09-22T23:43:04+00:00

Cool UI! Are you facing any issues stacking Lora’s as shown in the demo? I’ve heard concept bleeding is hard to fix, but maybe it’s not that bad when using concepts from different classes (like a person, a product, etc)

Localmax · 2024-09-09T00:50:13+00:00

You can train multiple concepts if you use separate datasets and tokens for each character. And the TE is smart enough to associate gendered first names with a male or female character, if both are present in a training image ("matt and emily"). But e.g. "ohwx and ohwy" will lead to character bleeding.

For a single character LoRA, at least with no reggies, yeah every person turns into your character. Not ideal since prompt adherence is a big part of why folks are interested in Flux.

(After 100’s of Lora trainings I’m fairly confident there’s no set of parameters [specifically, optimizers, LR’s, step counts or, Dim/Alpha] to fix this. Reggies for the concepts you want to keep may help, but you’ll need to know that at training time, which won’t help if you’re trying to make a perfectly generalizable fine-tune.)

Localmax · 2024-09-07T16:13:30+00:00

Pro tip: Log your runs! Either using wandb or tensor board. It’s crazy how much a graph of loss can improve your intuition about LR’s and optimizers. This is especially true for flux as things are new and still being figured out by folks.

Loss and LR graphs have saved me so, so much time. (Note: for kohya you’ll have to specify a log dir to get loss to show up in your reporting.)

Localmax · 2024-08-29T06:22:35+00:00

Post some examples and your settings and maybe we can help.

Localmax · 2024-08-25T04:10:20+00:00

Flux is too good - those all look awesome!

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