And Listen Notes is removing 4000 to 8000 ai slop podcasts per month - https://www.listennotes.com/podcast-stats/#growth

I always have growing lists of short texts, facts, and links that I wanted to host on a standalone site rather than burying them in a notes app. The workflow is simple: a browser extension to clip links with remarks, which then feeds into a public-facing list.

I’ve also added a "Substack-lite" feature. Instead of long-form writing, it lets you send simple roundup email digests (e.g., "Top 5 links this week") to opt-in subscribers.

My personal blog (wenbin.org) is currently powered by the tool.

CurateKit.com is in private beta while I'm fine-tuning a few things now, but I’m opening up invites to the waitlist over the next few days if anyone wants to give it a try.

Every big cloud provider has its share of UX/stability/customer support issues.

At this point, it feels less like AWS is the 'least bad' option because alternatives are even worse.

Comments URL: https://news.ycombinator.com/item?id=47641369

Points: 4

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Ideally, this list of URLs grows. I add new URLs, and others who follow the list can see the updates.

Comments URL: https://news.ycombinator.com/item?id=47353908

Points: 3

# Comments: 2

The catch was that old boxed software eventually breaks on new OS versions or devices.

However, SaaS has the potential to "freeze" features while remaining functional 20+ years down the road. Behind the scenes, developers can update server dependencies and push minor fixes to ensure compatibility with new browsers and screen sizes.

From the end-user's perspective, the product remains unchanged and reliable. To me, that’s very good!

It takes real courage for a builder to say, "It’s good enough. It’s complete. It serves the core use cases well." If people want more features? Great, make it a separate product under a new brand.

Evernote and Dropbox were perfect in 2012. Adding more features just to chase new user growth often comes at the expense of confusing the existing user base. Not good

Imagine how deceptive llm slop contents are to the general population.

Here's a dataset of 26,000+ ai-generated "podcasts"

https://www.kaggle.com/datasets/listennotes/ai-generated-fak...

Comments URL: https://news.ycombinator.com/item?id=46222199

Points: 3

# Comments: 0

[0] AI-generated fake podcasts (mostly via NotebookLM) https://www.kaggle.com/datasets/listennotes/ai-generated-fak...

Comments URL: https://news.ycombinator.com/item?id=45375382

Points: 2

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Comments URL: https://news.ycombinator.com/item?id=45361906

Points: 1

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Once synthetic data becomes pervasive, it’s inevitable that some of it will end up in the training process. Then it’ll be interesting to see how the information world evolves: AI-generated content built on synthetic data produced by other AIs. Over time, people may trust AI-generated content less and less.

AI generators don't have a strong incentive to add watermarks to synthetic content. They also don't provide reliable AI-detection tools (or any tools at all) to help others detect content generated by them.