Out of 557 total commits in the repo, 510 have been done before the past 2 weeks. All those (minus 5 in 2023-2024) have been done on or before July 2022, months before ChatGPT had even launched.
Out of the 47 commits in the last 2 weeks, 26 were README updates / CI / docs. The remaining 21 commits are clearly cleanups, speedups, bugfixes, and tangential features like Blender import/export. Which leaves us with 505/557 commits (90%) if we're not generous --or 531/557 commits (95%) in the best case-- of non-AI commits to the repo.
OP clearly wrote most of the project by hand and has just been cleaning things up for public release the last couple weeks. Exactly as he disclosed in his comment.
OP here. As others have said, it loads immediately for me (tested on desktop + on mobile data + incognito)
The entire site is cached + Cloudflare sits on top of everything. I just ran a couple performance tests under the current HN traffic (~120 concurrent visitors) and everything looks good, all loads under 1 second. The server is quite happy at an average load of 0.06 right now, not even close to start breaking a sweat.
Turns out you can get off the cloud and hit the frontpage of HN and your site will be alright.
I'm the OP of the Twitter thread – I've had the exact same experience: unrealistically low risk scores for most fraudulent transactions. There were plenty of red flags for each of them (400+ cards and 40+ names under one single IP, most payments got already flagged for credit card testing fraud early on before succeeding after many tries...) Even dumb heuristics would have blocked 90% of the fraudulent payments. I appreciate Stripe is fixing this quickly after making it public and refunding fees, but something is definitely wrong with their risk calculation algorithm.
Thanks for the heads up! It may be that the filtered query yields no results and I'm showing a blank page instead of a message. I need to add a nice info message like "No results – please remove some filters" or something along these lines to make it clearer.
Try with a common query word like "cat" – filters work fine for me with all models!
I'm not sure these models are good at generating great logos yet, but searching for "logo design" returns a few good ones for me https://prompthero.com/search?q=logo+design
Over the past two weeks I've been tinkering with NFTs and found out that most of them do not store their images on the blockchain: they're fully editable after mint. I thought this was against what most people believe NFTs to be, so I built a site to explore this problem. You can enter any ENS wallet or any Opensea NFT link and it will analyze it to tell you if the NFTs are immutable or not.
I also wrote a blog post [1] explaining the problem in a bit more detail.
Happy to answer any questions and hear your feedback!
What an extremely talented individual you are. Thanks for sharing your work and your process in the YouTube videos.
As someone who comes from a web dev background and who's completely unfamiliar with developing large projects in C, I'm curious about your setup. What does it look like? In terms of what kind of IDE, OS, interesting tooling, etc. you use on a regular basis to work on this.
Also, I've seen the first commit goes back to Oct 2017. Did you work on this full time during the whole time / how many full-time months you would say you devoted to this project? Also, if I may ask – what do you do for a living?
I was talking with a friend the other day [1] and he shared this idea, I think it comes from a Veritasium video [2], that if you took 1.000 random people and ranked them by their overall success, the top ones would almost always be extremely lucky (i.e.: you get to the top by being lucky, not by hard work alone)
Although the math behind it is extremely simple (just a weighted sum), as well as the code [3], I think the idea that hard work alone doesn't guarantee success is a powerful one. Plus, I think the app is fun to play with.
Hope this thought experiment helps reflect about the whole idea of randomness in life, and maybe help spark a few interesting conversations with friends! It'd be great to hear your feedback.
Out of 557 total commits in the repo, 510 have been done before the past 2 weeks. All those (minus 5 in 2023-2024) have been done on or before July 2022, months before ChatGPT had even launched.
Out of the 47 commits in the last 2 weeks, 26 were README updates / CI / docs. The remaining 21 commits are clearly cleanups, speedups, bugfixes, and tangential features like Blender import/export. Which leaves us with 505/557 commits (90%) if we're not generous --or 531/557 commits (95%) in the best case-- of non-AI commits to the repo.
OP clearly wrote most of the project by hand and has just been cleaning things up for public release the last couple weeks. Exactly as he disclosed in his comment.