My partner might volunteer to try it out, but since she is very regular it probably wouldn’t help much for input.

The main feature she says she misses from Flo (we are also data savy, so she left it), was for when things were irregular, the ability for it to predict the why’s and when’s like stress, etc.

In the current iteration, if something is irregular can you put in what happened and have it auto-adjust?

Also, reminder notifications a couple of days out were helpful.

I had been considering a project like this as well, but one that uses on-device analytics to record the why’s and when’s, then allowing for scrubbed anonymous submissions (date adjusting/etc like you do in a clinical trial) to allow for algorithm development while preserving privacy.

Happy to have a conversation about this for future potential PRs (I am an avid FOSS contributor in both planning and code, even working on a project for the Linux Foundation kernel dev team now).

There are more. Best way is to view OPs posts.

Em-dashes aren’t really an indicator as much anymore, especially with Humanizer skills on. Also, em-dashes were very popular with literary authors and professors for many, many years before AI.

Fiction, but maybe not AI. Or maybe.

This seems like an invalid test.

One of them collected posts from Hacker News and LinkedIn profiles and then linked them by using cross-platform references that appeared in user profiles. They then stripped all identifying references from the posts and ran a large language model on them.

If I post something on LinkedIn, and then post the same thing on Hacker News, of course an LLM could match my accounts up.

Am I missing something?

Wait till you see how many Bluetooth devices still do this. Or better yet, Ant+.

The problem here is you are both characterizing Ars as you would other companies that have these AI mandates. Ars is the opposite, they have a mandate NOT to use AI.

While I agree a separation of responsibilities is important, they had two coauthors for exactly that reason. One trusted the other for the references, not knowing that they used AI.

Either way, the initial comment is certainly not “absolutely correct” when it comes to Ars.

Absolutely not. Ars has a no AI policy, it’s the exact opposite. Guessing you are a nice little bot.

No AI company is, but they’re better than OpenAI in this.

Also consider Sovol. They take Voron designs and make them producible at scale, sell them for cheaper than you can build, and everything is open sourced in their repos.

Note: I own a Sovol and built a Voron.

But…

Pretty cases on your desk will just get traded in for slim sideways 19" racks on a stand. And then they’ll get pretty, too.

No desktops means more server options that people use at home. It’s still motherboards, RAM, GPU, etc.

Desktops are just hardware. Pretty cases on your desk will just get traded in for slim sideways 19" racks on a stand. And then they’ll get pretty, too.

Since this article, Anthropic’s Claude AI app has claimed the #1 top spot over ChatGPT on both Android and iOS.

This is adjustable via temperature. It is set low on chatbots, causing the answers to be more random. It’s set higher on code assistants to make things more deterministic.

Qwen3 feels left out. All 30B models I have failed the test.

If you are willing, I would love to see a blog post, video, or repo of exactly how you conducted this audit. Great read, and would like to learn more of your specific process (beyond the readmes and man pages).

This would be impossible. Orca is rhe most widely used, and many printers don’t ship woth a slicer. Since Orca is FOSS, and there is no sale, there is no way to regulate that.

Firmware on the other hand, is different. The catch is just about every printer can have Klipper installed on it (most just have a modified Klipper already), which, means the law is pointless since it is also FOSS.