Tag: Reddit

This prediction failed almost as good as Altman's "GPT5 is the Deathstar" hype. Just a friendly reminder in case anyone needed one to completely ignore these CEOs and the bullshit hype trains they want to keep running. submitted by /u/creaturefeature16 [link] [comments]

How does everyone feel about this? "Reddit, built around niche communities with a strong culture of questions and answers, creates a rare and valuable asset in the AI world: content genuinely generated by humans. The company’s management team has successfully monetized this potential through AI licensing, with LLM models incorporating subreddit content into search results, driving major increases in traffic and giving premium advertisers the opportunity to reach highly targeted, carefully selected audiences." https://www.tipranks.com/news/why-social-underdog-reddit-rddt-leads-the-pack-in-monetizing-ai submitted by /u/remoteinspace [link] [comments]

WTF is this… AI label with 20 “artists” and apparently 85 albums already. First we had Velvet Sundown blowing up, now there’s this? Is this legit the future of music or just spammy noise flooding Spotify? Your thoughts ? Full article here submitted by /u/MitchDee [link] [comments]

submitted by /u/fortune [link] [comments]

For over a year, I've been working on improving how AI can collaborate with authors to write novels. I've shared a bit about my systems, and people seemed to really like them. So I'm writing this longer post explaining the prompts I use. One of the biggest challenges has been getting the AI to write prose that not only sounds good, but also actually moves the plot forward. These prompts are the result of many hours of experimentation and hard thinking from me and some awesome people whom I've had the pleasure to work with. There are many different ways to go about this. This is just what I found to be best. Here they are: Chapter outlines The first step (after you have the characters, book data, etc) is to generate a chapter outline. This should be as dense as possible. That means strippi...

I got curious if I could pre-score directories before submitting. I hacked a dumb pipeline: Fetch domain metrics (DA/DR-ish), outbound link ratio, indexation status Simple model to classify “likely worthwhile” vs “meh” (trained on past referrer data) Manually review top picks, then batch submit (human in the loop ftw) Takeaway: a few niche directories with modest authority sent way more real clicks than big generic ones. Also, startup launch platforms (PH alternatives) drove a short burst that helped pages get crawled faster, which I didn’t expect. I tested a done-for-you pass too (for coverage + proof screenshots) and then fed their report back into my model: getmorebacklinks.org Curious if anyone else is ranking directories with ML features beyond the usual authority metrics? Awesome her...

submitted by /u/fortune [link] [comments]

submitted by /u/drgoldenpants [link] [comments]

TL;DR: Combine a web-browsing autonomous agent (one that can click, scroll, and interact) with a browser-integrated memory/summary tool (like Recall) and you get near-autonomous research: the agent finds sources and the capture tool ingests summaries and builds a shareable knowledge graph. This multiplies research throughput but also externalizes memory and critical thinking - creating powerful productivity gains and concentrated misinformation risks. Pros and Cons list, future implementation, and Sources in comments below (might take me a bit as I’ll have to embed each raw link even though I have them all at the ready to comment, unsure as I’m new to posting—will find out soon I guess) Side note: Funnily enough I came across Recall from Matt Wolfe’s latest video, which Recall was a sponso...

submitted by /u/katxwoods [link] [comments]