ipunchghosts

The agents can check this and mitigate.

I ship overnight all the time now. I have a huge test set that runs before we ship. Users find updates each morning which we think feels nice.

Yes, or open Wrt

Software to promote live music and drink specials so I don't have to check dozens of Instagram accounts to find out what's happening tonight.

https://nittanynights.com/

https://indyafterfive.com/

I wrote my own site parsing toolkit which removed the friction I have with the current ones. It's now easy to add new locations quickly to scale.

I have a different take....

I don't really care that they all look alike as long as the sites usable to me for its intended purposes. Honestly, having each site have its own brand is annoying to me.

For years of dealing with badly designed sites, I wished then that they _copy_ a better design even if it looked generic. Even copying a simple but usable design would have made many sites easier to use.

I don't want the site to win an art contest, I want the information to make a decision. At a min just be easy in the eyes and intuitive to use and get the info.

An adjacent question: is there an input dataset you can use for training that be computed in closed form so that when you train on your target dataset, learning is effecient.

Methods like formula driven supervised learning exist to arrive a good pretrained weight state, but could this procedure be generalized for specific datasets or flavors of input data.

Location: State College, PA

Remote: Yes, 3 years remotely working

Willing to relocate: No

Technologies: Physics-informed AI, interpretable networks, fundamental & applied research

Résumé/CV: https://gergltd.com/cv_isaac_gerg.pdf

Email: first.last at gergltd.com

Former research professor. Worked for DARPA, IC, ONR.

High on thinking, low on theater.

https://gergltd.com/

I met Pete when I worked at kitware. Would u have time for a fifteen min call? I'm interested in the position but have questions about viabikity given that capabilitiea of ai. Send an email.

sorry, for some reason i was never notified that anyone replied.

I have work in synthetic aperture sonar for detection of these mines for almost two decades and can answer questions about this area for HN.

Eero simmoncellis group showed that specific network modifications allow the networks to extrapolate beyond noise they were trained in.

NNs can certainly learn beyond what they were trained for as new architectures have demonstrated. See benchmarks for any if the dan hendryks imagenet corruption dataset benchmarks (imagenet c r and a). Data + architecture work together to enable.

I have work using neural networks trained on synthetic aperture sonar SAS imagery using language only. The SAS datsets are extremely hard to come by. The dataset I used was from parts if world I can assure you we're never in the training set. My approach exceeds what clip models can do zero shot wise. Therefore, the network classified imagery if a modality and environment 100 percent not guaranteed to be in the training data.

This is a good way to think.

There are many features in an image dataset which a can correctly classify the dataset. Neural nets usually focus in texture which we human clearly don't, we focus on a higher level abstraction and usually ignore texture. Using either would encourage the network to use broader features and ignore texture

I am not sure that's true. It would learn to not focus in texture which is what current nns do.

Why is this not a typical data augmentation method for training deep networks? It would allow the networks to learn invariants that's align with humans. Currently, I suppose none of these dithered images would be correctly classified.

The authors experience is not mine. I have an app/website combo deployed that is getting 60+ visitors a day and the app is getting downloaded weekly. Both are growing. All "vibe" coded.

Now I have 20 YOE in software too before the booon of AI.

This is missing castles. There are several in and near lerici Italy not listed

Yes. I can tell who uses it and who doesn't. Also who is good at using it and who isn't.

Synthetic aperture simulator. I could never get finding to build so decided to do it myself.

https://gergltd.com/aperturelab/

I built a synthetic aperture sonar / radar simulation engine so I could generate endless amounts of procedural generated scenes to train a world model. Data for sonar is especially hard to come by.

https://gergltd.com/aperturelab/

Why aren't they using Claude code 20x for 200/month?

I think ppl only care about how Claude or codex does.

I am writing synthetic aperture sonar/radar simulator and image formation code from scratch.

https://www.linkedin.com/search/results/all/?keywords=%23ape...

Too many codes or old or gate kept behind proprietary walls. Many are old and don't use the newest acceleration techniquea to make the simulation fast. Additionally, none of them scale using aws. I want SAS/SAR image to be easy to generate for anyone.

I have a similar finding for a website I made that collates college town bar specials and live music. Using agents with vision models works but it's not as straightforward as one would initially think. U can check out the results here. https://www.nittanynights.com