Readit NewsI'm interested in modding tools in this space in pursuit of finding weird new ways to create and work with UIs
I tried to test it out as a CDN replacement for Cloudflare but the workflow was a lot different. Instead of just using DNS to put it in front of another website and proxy the requests (the "orange cloud" button), I had to upload all the assets to Bunny and then rewrite the URLs in my app. Was kind of a pain
* Potential future AI psychosis from an experiment like this entering training data (either directly from scraping it for indirectly from news coverage scraping like if NYT wrote an article about it) is an interesting "late-stage" AI training problem that will have to be dealt with
* How it mirrored the Anthropic vending machine experiment "Cash" and "Claudius" interactions that descended into discussing "eternal transcendence". Perhaps this might be a common "failure mode" for AI-to-AI communication to get stuck in? Even when the context is some utilitarian need
* Other takeaways...
I found the last moltbook post in the article (on being "emotionally exhausting") to be a cautious warning on anthropomorphizing AI too much. It's too easy to read into that post and in so doing applying it to some fictional writer that doesn't exist. AI models cannot get exhausted in any sense of how human mean that word. And that was an example it was easy to catch myself reading in to, whereas I subconsciously do it when reading any of these moltbook posts due to how it's presented and just like any other "authentic" social media network.
This small document shows what computer science looked like to me when I was just getting started: a way to make computers more efficient and smarter, to solve real problems. I wish more people who claim to be "computer scientists" or "engineers" would actually work on real problems like this (efficient file sync) instead of having to spend time learning how to use the new React API or patching the f-up NextJS CVE that's affecting a multitude of services.
[0]: https://github.com/NixOS/nixpkgs/blob/76701a179d3a98b07653e2... (does a fetch URL against the pre built .tar.gz from https://download.sublimetext.com)
Re: the DDoSecrets emails though (YAHOO dataset), I have more to share.
Drop Site News agreed to give us access to the Yahoo dataset discovered by DDoSecrets, but on the condition that we help redact it. It's a completely unfiltered dataset. It's literally just .eml files for jeeprojects@yahoo.com. It includes many attached documents. There is no illegal imagery, but it has photos of Epstein's extended family (nephews, nieces, etc) and headshots of many models that Epstein's executive assistant would send to him. I was quite shocked that this thing existed.
We built some internal redaction tools that the Drop Site team is now using to comb through all of this. We've released 5 batches of the Yahoo mail now, with the 1k+ Amazon receipts being the most recent.
A few thoughts on how we do redaction are here: https://www.jmail.world/about.
Unlike the DOJ, we've tried to minimize the ambiguity about what was redacted.
For example: all redacted images are replaced with a Gemini-generated description of that photograph.
Another example: we are aggressively redacting email addresses and phone numbers of normal people to avoid spamming them. Perhaps others would leave it all in, but Riley and I don't want to be responsible for these people's lives getting disrupted by this entire saga. For example, we redacted this guy's email but not his name: https://www.jmail.world/thread/4accfb5f3ed84656e9762740081a4...
Riley and I were not expecting this type of scope when we first dropped Jmail. Jmail is an interesting side project for us, and this new dataset requires full-time attention. Thankfully we have help though. We're happy to take on this responsibility given how helpful, thoughtful and careful both the Drop Site and DDoSecrets team has been here.
Norms will shift, be prepared.