joshwa

Joined 19 years ago

Karma
7,010
Submissions
1,487
Member since
Feb 23
Josh Wand

• Staff PM/Engineer

• [email protected] • http://joshwand1.substack.com/ • https://www.linkedin.com/in/joshwand

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Recent submissions

Comment · 8 months ago
Comment · 11 months ago
URA quotas—I see the Amazon infection has spread from Seattle to Redmond.
Comment · 1 year ago
The thing about language models is that they are *language* models. They don't actually parse XML structure, or turn code into an AST, they are just next-token generators.

Individual models may have supplemented their training with things that look like structure (e.g. Claude with its XMLish delimiters), but it's far from universal.

Ultimately if we want better fidelity to the concepts we're referencing, we're better off working from the larger/richer dataset of token sequences in the training data--the total published written output of humanity.

Comment · 1 year ago
Just the opposite! When sautéing, too-small pieces have burned by the time the larger ones have cooked, giving the dish a bitter burnt flavor and ugly black flecks.
Comment · 1 year ago
https://onion-cutting-simulator.streamlit.app/

I made my own version of this a while back, and it lets you create your own cutting methods, plot the statistical distribution, and share your ideas via permalink. It also lets you tweak onion parameters, such as number of layers and the layer thickness distribution curve).

Along the way I discovered two things:

1. I came up with my own method ("Josh’s method" in the app above) where the neither the longitudinal cuts nor the planar cuts are full depth, so the number of cuts at the narrower core is less than at the wider perimeter.

2. After all this hyper-optimization about size, it turns out what really matters when cooking is the THICKNESS, since ultimately determines the cooking rate. The only way to avoid thin outliers that burn long before the rest are cooked is to discard more of the tip of the onion, where the layers are the thinnest.

The 3D version of the simulator is still in progress--turns out 3D geometry is a lot harder than 2D. :)

Pull requests are welcome! https://github.com/joshwand/onion-simulator

Comment · 1 year ago
My thought is just to rent it out for to rich folks with lawns for a few hundred bucks a week. My contraption will have thermal detection, AI target discrimination, and precision targeting with a laminar flow water stream. That’s the plan, anyways.
Comment · 1 year ago
Likewise but for raccoons. Are you precision targeting or just broad sprinkler coverage? I need to make sure my cat doesn’t get hosed :-/

I got a cheap MLX90640 off aliexpress for target detection and a grove vision AI V2 module to use with IR cam for classification/object tracking. Esp32 for fusion and servo/solenoid actuation.

Collab?

Comment · 4 years ago
messagingengine.com is the domain used for fastmail's mail servers.
Comment · 5 years ago
Ah, the classic build tool evolution cycle! 1. Become frustrated with complex build tool

2. Write a new tool that is dead simple, opinionated (your opinions), convention over configuration, etc

3. Post to HN

4. Achieve adoption

5. As more people use the tool, feature creep ensues

6. In order to satisfy diverse use cases, make everything modular and configurable!

7. Tool slows and becomes impossible to manage

8. GOTO 1.

Comment · 5 years ago
Can I just stick a vibrator against the back of my skull for a few minutes daily?

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