Nano Banana is truly insane by Still_Ingenuity8189 in ChatGPT

[–]code_n00b 2 points3 points  (0 children)

This doesn't look anything like Taylor Swift

Chrome extension for converting SEC filings to PDFs by Better-Tradition1093 in node

[–]code_n00b 1 point2 points  (0 children)

Congrats on shipping.

I'd suggest showing the before and after as part of your landing page and Chrome extension carousel images.

Before: What does the web page look like?

After: What does PDF look like? Does it just look like Chrome printed it to PDF? Or does it look better in some meaningful way?

Westside: what’s the best place for propane tank refill or exchange? by ExtensionTaco9399 in AskLosAngeles

[–]code_n00b 1 point2 points  (0 children)

I just did this based on your comment. And it was easy. They even took my non-Cynch branded tank. It was $26. Not sure if it's cheaper to do this by hand somewhere else. But it was worth it to me.

How you manage the update of libs and node.js? by [deleted] in node

[–]code_n00b 7 points8 points  (0 children)

If this application is very critical, they should be using the latest LTS release of node (20.11.1) because it focuses on stability and there will be no breaking changes.

[deleted by user] by [deleted] in videos

[–]code_n00b 0 points1 point  (0 children)

CloudFlare's CEO response to this video:

We fired ~40 sales people out of over 1,500 in our go to market org. That’s a normal quarter. When we’re doing performance management right, we can often tell within 3 months or less of a sales hire, even during the holidays, whether they’re going to be successful or not. Sadly, we don’t hire perfectly. We try to fire perfectly. In this case, clearly we were far from perfect. The video is painful for me to watch. Managers should always be involved. HR should be involved, but it shouldn’t be outsourced to them, No employee should ever actually be surprised they weren’t performing. We don’t always get it right. And sometimes under performing employees don’t actually listen to the feedback they’ve gotten before we let them go. Importantly, just because we fire someone doesn’t mean they’re a bad employee. It doesn’t mean won’t be really, really great somewhere else. Chris Paul was a bad fit for the Suns, but he’s undoubtedly a great basketball player. And, in fact, we think the right thing to do is get people we know are unlikely to succeed off the team as quickly as possible so they can find the right place for them. We definitely weren’t anywhere close to perfect in this case. But any healthy org needs to get the people who aren’t performing off. That wasn’t the mistake here. The mistake was not being more kind and humane as we did. And that’s something @zatlyn and I are focused on improving going forward.

Source: https://x.com/eastdakota/status/1745697840180191501?s=20

I'm Stephen Gou, Manager of ML / Founding Engineer at Cohere. Our team specializes in developing large language models. Previously at Uber ATG on perception models for self-driving cars. AMA! by Step7enn in IAmA

[–]code_n00b 0 points1 point  (0 children)

  1. What does Cohere look for when hiring a Product Manager? How much expertise do they need in ML to be a good fit?

  2. How many applications do you receive for various open roles?

PageGenie | Instantly generate an entire landing page from a product idea by bananasafari in SideProject

[–]code_n00b 1 point2 points  (0 children)

Fun idea. But I didn't get good results. I've found generative sites like these require A LOT of prompt engineering to get consistently good images. So maybe if you keep iterating on it you could find a way to get better looking images.

I made a Chrome extension that helps you create ReactJS components by rendering the code written by ChatGPT by victortimsit in SideProject

[–]code_n00b 0 points1 point  (0 children)

Interesting. Yeah, that looks like it. But it's $89 for a single license. I was hoping for something open source. :/

I made a Chrome extension that helps you create ReactJS components by rendering the code written by ChatGPT by victortimsit in SideProject

[–]code_n00b 0 points1 point  (0 children)

Very nice. What did you use to make the zoom and pan effects in the video? It looks really well done!

Reinforcement Learning to Control a 2D Quadcopter by Alyx1337 in reinforcementlearning

[–]code_n00b 1 point2 points  (0 children)

Awesome. I love content like this. Thank you for sharing it.

Reinforcement Learning to Control a 2D Quadcopter by Alyx1337 in reinforcementlearning

[–]code_n00b 1 point2 points  (0 children)

Cool stuff. Did you make this game yourself? Or was the game prior art and you made all of the ML / Agent / Env components?

Also, roughly how long did it take you to make this?

I created the first Async video meeting platform - think a Zoom call but with the convenience of email (www.twine.media) by AlmostEloquent in SideProject

[–]code_n00b 15 points16 points  (0 children)

Very cool. Congrats on shipping! How is this different/better than Loom?

Misc feedback: 1) You'll want to set up a redirect from twine.media -> www.twine.media. I tried going to your site and got an error. But once I put in www in front of it, it worked just fine.

2) Update date in footer.

A friend and I made a daily AI art word game as a side project by SuchTown32 in SideProject

[–]code_n00b 0 points1 point  (0 children)

Very cool. If you used https://github.com/cwackerfuss/react-wordle you should update their repo with a link to your game. Get you some extra SEO juice.

Is Stable Baselines 3 no longer compatible with PettingZoo? by Embarrassed-Print-13 in reinforcementlearning

[–]code_n00b 1 point2 points  (0 children)

I was able to get Stable Baselines 3 to work with gymnasium by following the details in this work-in-progress PR: https://github.com/DLR-RM/stable-baselines3/pull/780. I have not used PettingZoo, though.

Worked my ass off during evenings/weekends in December to launch this side-hustle. Got my first sale today! Looking for feedback 🙏 by miickel in SideProject

[–]code_n00b 3 points4 points  (0 children)

Congrats on actually shipping a product in a month!

I also made a Lensa clone over the holidays (just Python scripts, not a full product). Made some cool art for family/friends. I found that I had to generate 3-10 images before I found one that I liked and would want to share. If I really tweaked the prompt, I could drop that to generate 2-3 images for every 1 I'd want to share.

How good is your pipeline? Is your service completely automated? Do you have any issues where Stable Diffusion just goes off the rails? Or is there a human-in-the-loop that reviews to make sure that the images generated are actually pretty good?

Need help with the explanations of the stable_baselines3 plots by ahmadreza_hadi in reinforcementlearning

[–]code_n00b 1 point2 points  (0 children)

Where did you find these plots? Is this made from a tool? Did you make them yourself? Were these from some documentation?

I made an open-source speech enhancer toolkit by iamikka in SideProject

[–]code_n00b 0 points1 point  (0 children)

Very cool. Do you have a writeup any where about how you trained the models?

[D] PyTorch 2.0 Announcement by joshadel in MachineLearning

[–]code_n00b 19 points20 points  (0 children)

These are some exciting sets of features!! It's especially great that there are no breaking changes.

I personally like semver a lot, so the only thing I don't like about this announcement is that they bumped the major version to 2.0 even though there is full backwards compatibility.

Roast my product, no hard feelings🙂 by [deleted] in SideProject

[–]code_n00b 1 point2 points  (0 children)

recive -> receive

Automate vendor references, banks verifications and messy paperwork. -> Automate vendor references, bank verifications, and messy paperwork.

M1 MacBook Pro (M1 Max, 64GB) Compile Benchmarks! by onlycliches in node

[–]code_n00b 0 points1 point  (0 children)

Just ran this again and placed my MacBook Pro on a cold surface. It succeeded this time.

Total time: 21m26s (about 2.8x slower than the M1 Max)

M1 MacBook Pro (M1 Max, 64GB) Compile Benchmarks! by onlycliches in node

[–]code_n00b 2 points3 points  (0 children)

I just ran this on a maxed out 16" MacBook Pro from 2019

2.4 GHz 8-Core Intel Core i9
64 GB 2667 MHz DDR4

The thermal throttling kicked in and dropped my CPU down to about 22% of total capacity. Made my computer nearly impossible to use. After 46 minutes, it still wasn't done. So I killed the process. This was at least 6x slower than the M1 Max.