somewhatrandom9

Agree. Probably an unpopular opinion, but I strongly dislike YAML.

EDIT: if I HAD to use YAML, I'd prefer KYAML: https://dev.to/mechcloud_academy/goodbye-yaml-hell-meet-kyam...

Perhaps you could ask Mullvad how they did it? You might protect yourself with disclaimers that your results may not be perfect? You still could create a useful/ effective service even if it's not 100% perfect I would think.

I saw your response about not blocking ads currently. What about blocking adult content, for a child's computer? Mullvad had such an option[1] under family.dns.mullvad.net. Very useful!

[1]https://mullvad.net/en/help/dns-over-https-and-dns-over-tls

If this article is accurate, I hope it leads to an intervention.

I've heard it rumored (maybe on this site??) that it's wise to avoid upgrading to Tahoe, on intel macs, but I don't have any evidence to back this up.

How is this different from Divio's documentation system?: https://docs.divio.com/documentation-system/

Update: https://diataxis.fr/colophon/#origins-and-development (Divio came first).

I don't know about solving captchas, but if you are running macOS virtual machines on an Apple Silicon Mac, hardware graphics acceleration is supposed to be natively supported out of the box when using UTM's Apple Virtualization Framework backend.

A primary source of UI lag is how Apple's native virtualization framework processes multitouch trackpad events. There are other issues like mismatched resolutions and framerates, too. Ask your favorite ai to debug. You can try e.g. deselection of the trackpad setting and instead select basic mouse support, and that can clear things up..

Though it doesn't get by all the hurdles mentioned, it is alternatively possible to run Mac OS in a VM on your Mac using UTM and install Claude Code within the UTM VM. UTM can be run under a non-admin Mac account. This can allow you to use most Mac-native tooling, at least. The interactive performance of using the Claude Code ui on the VM isn't great, however. I'm not sure if you can log into the VM via terminal on the host from the non-root admin account to avoid the ui performance issues.

No, I don't think Qwen, but I believe he may try and put some version of GLM in it.

Try using DwarfStar 4 and use the --power flag: https://github.com/antirez/ds4#reducing-heat-power-usage-and...

You can get a new M5 Max MacBook pro with 128 GB unified ram (targeted by Antirez for DwarfStar4) even after the Apple price increases, it's less than 7899 by at least $1000. And you probably won't pull more than 100 Watts.

Could these quantized models make MTP (Multi-Token Prediction) significantly faster when used as drafters for larger regular Gemma 4 models?

With "intelligence" (or whatever you want to call it) and speed both seeming to ramp up quickly with local models I wonder what the growth rate and ceiling(?) might be in this space. Will this kind of iq and performance work with just e.g: 16GB RAM in a couple years? Is there a new kind of Moore's law to be defined here?

There are other ways to mount S3, but you may want to check out Amazon's new product, S3 files: https://aws.amazon.com/about-aws/whats-new/2026/04/amazon-s3...

https://aws.amazon.com/s3/features/files/

byroot sets a great example sharing his code optimization expertise. His blog has many great improvements like this. A 7x improvement in Dir.join and similar calls?! Thank you, byroot!

You may want to also look into AWS's OpenClaw offering (I was surprised to see this): https://aws.amazon.com/blogs/aws/introducing-openclaw-on-ama...

"Over four months, LLM users consistently underperformed at neural, linguistic, and behavioral levels. These results raise concerns about the long-term educational implications of LLM reliance and underscore the need for deeper inquiry into AI's role in learning."

This piece (at a website I know nothing about) claims AWS next generation data centers will use "closed loop" water systems: https://www.aboutamazon.com/news/aws/aws-liquid-cooling-data...

The tech specs: https://store.google.com/us/product/pixel_10_specs?hl=en-US Says it has vpn capabilities..But then there is a footnote:

>12. Restrictions apply. Some data is not transmitted through VPN.... See https://g.co/pixel/vpn for details.

Does anyone know what data doesn't go through the vpn?

On the positive side it lists a 24+ hour battery life!! This is huge for me!! ..but it has a footnote, as well

> 6. Battery life depends upon many factors and usage of certain features will decrease battery life. Actual battery life may be lower. Over time, Pixel software will manage battery performance to help maintain battery health as your battery ages. See https://g.co/pixel/battery-tests and https://g.co/pixel/batteryhealth for details.

Which I guess is understandable

The Google Pixel 6a was released on July 21, 2022. A perfectly fine phone artificially obsoleted in 3 years? Time to switch to Apple?

I enjoyed the piece, but wonder if the author could have found some benefit if they used the corpus to train an (ideally locally-run (for privacy)) ai - so that questions could be asked of it and some value extracted..

Speaking to a European woman, she said she was not surprised women would pay more not to be harassed. I guess in her country there is more of that. Me, I enjoy human interaction, but the European female angle on taxi "safety" was something I hadn't considered.

I found being on a keto diet reduced inflammation and very healthily decreased my appetite, so I lost weight. I also avoided eating fatty foods like bacon. The problem was that after two months it made me thirsty as hell at night and I had to drink lots of water, then I would have to wake up to pee and be thirsty again, so I'd drink more and the cycle repeated. So it was unsustainable for me because of this insomnia. Otherwise, it felt very healthy to me and my cholesterol and triglycerides went to healthy levels.