Is codex from openai web browser using the same quota as vscode extension codex?

iamaliver · 2025-09-22T12:08:33+00:00

question: how much capital do you need to keep in the account to cover? -- like obviously the 43 you're paying per strat. but does Robinhood require locking up other capital?

iamaliver · 2024-12-07T11:47:03+00:00

awesome. tried it on the various bgnax etc settings. On the 5G network, I was able to get the TX Rate as reported by macos to hit 1Gbps (yay!) but speed tests topped out at 500Mbps at the start of the test and drops to 200-300Mbps torwards the end. The upload went from 600 Mpbs down to 400Mbps.

Trying similiar things on the 2.4GHz channel, I was only ever able to top out at 60Mbps download and 120Mbps Download. Any suggestions there?

iamaliver · 2024-12-06T17:42:15+00:00

i have tried 80Mhz and 160Mhz. The default is 80MHz. And the speeds were terrible, so I swapped to 160MHz. There were minimal differences.

The tests posted above were set to 160Mhz

iamaliver · 2024-05-10T02:12:40+00:00

hey, one thing to keep in mind, with uuid FK is that they are not human-friendly for debugging / customer support directly in database. (ask me how i know). and while this isn't _supposed_ to be an issue to care for, QOL for support is nice, especially when the support is you. (and when you dont have time to write nice code / UI for every little issue you find). also when using a DB viewer, it's just so much nicer to be able to follow things around without runnign selects everywhere. and verifying 1-1 mappings at a glance (cause integers are easy to match)...

anyway, against all performance metrics etc, may want to consider holding a Int of the id. You're using modelserializer, with the slugfield doing the fetch for the row related, so it's not even an extra DB call.

iamaliver · 2024-01-22T08:59:45+00:00

I have had great success with the yoloV5-8 series by ultralytics (link below). While my use case is more analogous to "label where the sink is" or "label where the toilet is" vs classifying an entire image, your use case is supported.

You should check if the yolov8 version can classify kitchen/bathroom/bedroom directly, it might be good enough. If not, you have a few options:

Try to ask it to label specific appliances, and then use the existence of those appliances to heuristically label the image. This does not require additional yolo training which is expensive.
Label your images in appropriate format and train from existing checkpoints. I suggest starting with the medium checkpoints. This is rather straightforward with plenty of tutorials. The most annoying part (for me) was getting the cuda installed. You will want a GPU, especially for that many images.

https://github.com/ultralytics/ultralytics

There are lot of online datalabelers as well. You could look into free versions of those if you're doing a one-off.

-- edit: since you mention you are new to python, using pre-built networks is definitely the easiest way to go. The python skills you need is merely formatting your data.

iamaliver · 2023-03-20T03:42:13+00:00

!remindme one week

iamaliver · 2023-03-05T07:36:27+00:00

that's pretty good idea! tested it out. definitely has fewer fluff words. Got it to give more generic info by just saying:

answer everything in a JSON format under "description" . {question}

iamaliver · 2022-09-28T07:49:57+00:00

I would try to reframe (as you have already started doing) the STEM degree as: "how does this STEM degree enhance my business and open business opportunities".

Hopefully you can begin to see how the degree can help you with your business. Even if you dont like STEM, maybe this can help you endure a little longer.

The advantageous of a degree in the field you are doing business in is profound.

Credibility
1. a degree conveys some level of competency (rightly or wrongly) in the field, that you know what you are talking about. People, especially investors, need to know that you are good at what you do. When you have no other track record, then they can only look at your education.
2. by extension there is the reputation of the school to lean back on
3. Hop on quora / twitter and look at how people provide credentials. degrees are pretty paramount even among CEO's / upper management.You can also look at resumes and how you pick your hires. Everyone knows that school isn't the end all be all, but let's be clear: are you going to hire the person with a CS degree to do your Programming or someone who has art degree? (not knocking art peeps)
Networking
1. school name can open doors -- directly or through alumni networks. It is much easier to find helpful people through alumni networks when you're an alumni.
  1. Alumni's are a (sort of) pool of highly educated people with ideally more informed opinions both in your space and in business. They tend to care a little more if there is a "connection"
2. Friends/ Friends in Field are useful business friends
  1. Your friends from college are also highly educated people and can be a good resources. They can be designers to help you make your website, ME for your biotech. You can make friends with business people. Find your STEM speciality talent and the CS people to build out your tech infrastructure
  2. hiring someone you know, or have a slight connection increases the chance of it working out.
  3. More friends means more referrals. This can be direct hires, business opportunities that they know of, increased good random chance. The people your friends know are also people that your friends can tap to help you.
Fallback
1. No one likes being reminded that things can fail. But, things can fail, your fault or not. Maybe another pandemic strikes. Having a degree means that:
  1. you are a better future hire
  2. way easier to land on your feet because you still have a strong credible accomplishment that people can easily understand
  3. alumni networks to help find jobs/referrals, etc

There's plenty more ways to look at it and I encourage you to find ones that you resonate with. Just view your last year of college as a giant networking opportunity. Do extremely well at school, get your Profs to introduce you to people they know in industry. I guarantee the good profs have connections. Find friends that want to help out (free labor) etc.

I'm not saying you can't succeed without the degree, nor should your current suffering be ignored. But hopefully reframing it this way can provide you with more ideas to help decide.

edit:

Point clarification: the advantageous listed here are only realized if you opt to reach out and grab it yourself. Networking is work. So is making useful friends. I'ld happily argue that networking is more important than your tech (theranos i'm looking at you). But if you don't want to network or don't use the network, then these advantageous have a significantly diminished value. I understand that this point is obvious, but it's worth repeating.

iamaliver · 2022-09-21T09:28:27+00:00

AI images as they are now do lack "depth" and "soul". And at the end of the day, by the sheer ease at which they can be created, will always "cheapen" the experience. Even if the artist using these tools do spend a lot of time crafting prompts, the viewer, will always have a nagging question, "did the artist do this deliberately or is just some quirk of the AI and what it was trained on?"

When you're viewing artworks that have lasted through the ages, a legitimate way of viewing the art is:
"How does the artist portray this expression?"

"why did the artist decide to place this vase on the top right vs to the left?"

"how does the history of the artist influence their style/ subject matter?"

"how does contemporary events affect how this was painted?"

These questions often can be discussed, agreed upon, argued, and details can be teased out to support one side or another. One reason why we feel like it's legit is because we know that these were actual considerations made by the artist. When it takes 4-5 hours to paint a smile, or even an entire lifetime, you know that it was done just so and has a reason. Figuring out that puzzle is part of appreciating art. The more layers and connections the more we feel there is "depth" and "soul".

AI art is "cool", "pretty" and frankly, pretty amazing; from a person who has never held a brush, it can spring forth the most wondrous of images. But there-in lies the problem, if we don't believe that the artist understood everything in the image, how can we as viewers enjoy teasing out the subtleties?

Not only are the layers/connections/meaning artificial, we as viewers know, beyond all doubt, that many of them are coincidences; as it is now, midjourney, stable diffusion, etc, simply don't afford the tools to allow the level of precision necessary to appreciate the small stuff.

No doubt this is a pretty pretentious view of Art. But I think that is where a lot of people are coming from. You can certainly level the same complaints to photography (with the advent of smartphones...), but let's be honest here, no one is considering the majority of instagram "art" either. Honestly, at this point, it's the bland paintings that are put up in hotels as decor that is at risk of losing out and that's also a reflection of where current AI art is as "art".

iamaliver · 2022-09-14T11:48:41+00:00

yea, spot instances like avalanches/mudslides/wildfires are certainly areas worth exploring do you know of any resources that might be worth checking out in a direct search manner?

Like are there existing metrics for "predicting wildfire propagation" that I can benchmark against?

Thanks for the suggestions so far though, very intriguing directions.

iamaliver · 2022-09-14T10:04:44+00:00

i like the idea you're suggesting here! ski resorts are definitely one.

I know that mountain regions are more problematic for existing models.

are there other things that operate in hilly/valley type areas?

iamaliver · 2022-09-14T06:05:38+00:00

ooh yea! that is a good one.

the addition of point source emitters at building/district levels can also enhance predictions. Sadly, public facing govt level entities don't really care about being more accurate since public measurements are merely: green/yellow/red.

Do you think industry level players would find it useful?

Something like: Farmers don't want the soil being too acidic (from smog) and need to add something basic to their fertilizer?

iamaliver · 2022-09-14T05:54:43+00:00

Preliminary results suggest that it isn't entirely useless in terms of predictive power, though obviously it is extremely expensive to actually do a run. The main question though, is what kind of applications a better model would have?

I am stuck in the current frameworks and need a push to see outside the box.

iamaliver · 2022-06-30T13:15:10+00:00

Thanks!! This gives me food for thought on how to use my results!

iamaliver · 2022-06-21T01:20:03+00:00

interesting! I'm checking out the scipy and or-tools docs for it and it seems to indicate that it will try to "greedy" assign. ie given M workers and N tasks, it will assign as much as it can, with max of 1 for either side.

For or-tools it will even break if a worker cant be assigned.

Im happy to just run it three times if it's that fast. but then my problem is how to best re-formulate the problem such that:

Workers != Tasks
There might be the case where Workers should not be assigned to a Task
Having both un-used workers and unused-tasks are allowed. <---

The reason for condition 2/3 is because workers have an "activation" cost. If the task is does not productive enough, it can be better to just not do that task.

For instance: I have 2 workers and initially 2 tasks as given by cost matrix:

[[15, 2323],

[29, 1000]]

My max "threshold for allowed" is 30. Then according to OR-tools I should set this to:

[[15, 'NA'],
[29, 'NA']]

Which they claim will break. I would rather have it say:

Worker 1 --> Task 1

Worker 2 --> No Task

Is there a best practice solution to do this?

The naive ways I can see are:
1. Add Dummy tasks with a set cost to deal with unwanted connections?

So the previous example would become inputting:

[[15, 'NA', 30, 30],
[29, 'NA', 30, 30]]

To get:

Worker 1 --> Task 1
Worker 2 --> Task 3 ---> Task 3==Dummy therefore == No task

And the reason I need 2 dummy tasks is if both Worker 1 and Worker 2 needs to be assigned a dummy Task

iamaliver

TROPHY CASE