This may be the largest AI-generated codebase right now, by a lot. It'll be interesting to see how this plays out.
Frontier AI software development still falls short in the design/architecture department, in my recent experience. Though it's pretty impressive at making "working" code.
This being a fairly direct conversion from one language to another, even keeping the same interfaces across files, means the architecture is already in place.
The detailed test coverage is also very helpful for Claude. But even detailed testing can't cover every edge case.
So my questions are:
How well did Claude do on the edge cases?
And how maintainable will this codebase be going forward?
Couldn't this be done on proprietary software as well? Have an agent fuzz an interface (any type) for every bit of functionality and document it. Then have it build based on the document?
Very nice. I've been trying to find an image duplicate detection algorithm/system that suits my use-case for a while. Your app seems promising, however, I'm not willing to pay $99 just to see if it works with my (uniquely challenging) duplicate images.
After realizing there was no demo I was looking for a way to contact you directly with a few sample images, but can't find contact information on the website.
Consider adding a demo and contact info.
Otherwise, the app is looking solid. This seems like a great use of AI.
What are the Top 10 Elements of the Authoritarian Playbook?
1. Divide and rule: Foment mistrust and fear in the population.
2. Spread lies and conspiracies: Undermine the public’s belief in truth.
3. Destroy checks and balances: Quietly use legal or pseudo-legal rationales to gut institutions, weaken opposition, and/or declare national emergencies to seize unconstitutional powers.
4. Demonize opponents and independent media: Undermine the public’s trust in those actors and institutions that hold the state accountable.
5. Undermine civil and political rights for the unaligned: Actively suppress free speech, the right to assembly and protest and the rights of women and minority groups.
6. Blame minorities, immigrants, and “outsiders” for a country’s problems: Exploit national humiliation while promising to restore national glory.
7. Reward loyalists and punish defectors: Make in-group members fearful to voice dissension.
8. Encourage or condone violence to advance political goals: Dehumanize opposition and/or out-groups to justify violence against them.
9. Organize mass rallies to keep supporters mobilized against made-up threats: Use fearmongering and hate speech to consolidate in-group identity and solidarity.
10. Make people feel like they are powerless to change things: Solutions will only come from the top.
o1 did a significantly better job converting a JavaScript file to TypeScript than Llama 3.1 405B, GitHub Copilot, and Claude 3.5. It even simplified my code a bit while retaining the same functionality. Very impressive.
It was able to refactor a ~160 line file but I'm getting an infinite "thinking bubble" on a ~420 line file. Maybe something's timing out with the longer o1 response times?
I threw together a basic UI with the transcribed text in an editable area next to the image where I would edit any adjustments as it wasn't 100% perfect.
Similar/inspired-by software is fine but if a commercial project were to rip off everything down to the style and design of an existing app it would not be okay at all, what makes it okay if it's open source?
You seem very convinced that the NYT pulled this notion from thin air and Bush was experiencing a moment of wonder towards everyday technology (the theme of this thread).
After reading the article, I believe this is the first electric scanner Bush saw. Bush is quoted saying "This is for checking out?" "I just took a tour through the exhibits here," "Amazed by some of the technology."
"Some grocery stores began using electornic scanners as early as 1976, and the devices have been in general use in American supermarkets for a decade."
This tells me that he hadn't been to a grocery store with this technology, which seems very plausible for many politicians, then and now. They have people to do that for them, they're out of touch (at least to some degree).
> React’s logical model of recreating the UI on change of state is incredibly difficult to do right at scale. By that I mean that as applications and teams get larger, the chances of writing components with side effects increases due to differing levels of skill, knowledge, experience, and simply having a larger body of code to cover.
This is a problem with all UI libraries. React at least makes it difficult to write components with side effects.
For years, when searching "Firefox" on the Google Play store, the only way to install apps on most Android devices, the first result would be a Google ad for Chrome.
Frontier AI software development still falls short in the design/architecture department, in my recent experience. Though it's pretty impressive at making "working" code.
This being a fairly direct conversion from one language to another, even keeping the same interfaces across files, means the architecture is already in place.
The detailed test coverage is also very helpful for Claude. But even detailed testing can't cover every edge case.
So my questions are: How well did Claude do on the edge cases? And how maintainable will this codebase be going forward?