SamuelAdams

I really wish the Ashai Linux team pivoted and spent more time making quality emulators for past platforms. The current crop of emulators are much better than they were 10 years ago, but the Ashai team has a real knack for reverse engineering and figuring out all the bugs. I think having a really well polished set of emulators would be really cool from a game preservation standpoint.

You jest but I know someone made a copy of all “The Hobbit” films spliced together, but removed all the made up portions. And removed all the Legolas bits, since he wasn’t even in the book. I think the total run time was something like 4 hours 15 minutes.

The icing on the cake was how popular this edition was.

Wait until you see how often Tolkien edited The Lord of the Rings. Most of it was name and print corrections, but still. You would think you’d fix it all after one or two reprints.

I think Apple is really sleeping on making this run a Linux server. These things are very capable and draw very little wattage when idle. It would make an excellent homelab device, but MacOS currently holds it back in this regard.

Maybe. As a parallel, I know C# and F#. They are programming languages. They are built on top of Microsoft products like the JIT and more basically Assembly language.

I have no idea how assembly works - in my years of experience I’ve never had an issue that required I dig that deep into it. Does that mean I can’t be effective with higher-level tooling because I do not know the absolute basics?

You really ought to study recent developments in the service industry. Olive Garden added a tablet to every table so that customers can place their orders without talking to or waiting for a waiter. The goal was faster, more accurate service, since now the waiter did not need to remember your extremely detailed order.

And yet most people prefer talking to a waiter. There are other restaurants that have tried similar approaches and people would almost always deal with people rather than a robot.

I would love a robot to clean my home and do household chores, but in the service industry I would prefer real humans doing the work.

This is my recent experience as well. Models want to run linters, tests, etc. And that is all covered in GitHub actions. So I have been instructing agents to push a draft PR, then I validate the static checks pass and tell the agent if there are issues.

Agents and AI are getting expensive, it seems silly to waste tokens on static checks.

I do wonder what this does with HIPAA laws. Will TV's need to be removed from hospital rooms, or vetted specifically for microphones and cameras?

Cars already do this.

https://www.mozillafoundation.org/en/blog/privacy-nightmare-...

https://apnews.com/article/auto-car-privacy-3674ce59c9b30f28...

https://en.wikipedia.org/wiki/Telematic_control_unit

I currently use the plex direct play feature on android tv with a Nvidia Shield Pro. Is there an equivalent jellyfin android tv app?

Skills are kind of a new thing starting around January 2026, but the spec was established about 12 months ago.

https://news.ycombinator.com/item?id=46871173

Anyways the most layman way I’ve seen it explained is this: skills help save token usage for the right context. Not every request needs all instructions all the time - running tests is different than reviewing a PR, so why should the context window have instructions for both on every request?

So now you split instructions into “skill” files, which are basically opinionated markdown files. And you invoke those with something like /grill-me in the prompt depending on what you’re doing.

There are some steps to have the agent automatically know what to invoke for you but in my experience this automation is hit or miss.

It is also challenging to keep track of a growing library of skills and keeping those up to date.

So YMMV regarding skills. I typically keep things in a single markdown file even if the context window gets a bit bloated.

I have always had issues with playing high bitrate BluRay remuxes, with HDR and DTS 5.1+ audio. Granted the last time I tried JellyFin was January 2025 so it is possible this has changed.

Have there been improvements on this front?

Can you update the "did not answer" flow to, instead of six busy signals and hanging up, be the dialog to end of the Matrix (1999)? The film concludes with Neo talking into a phone booth phone to the audience and I think it would be fitting here as an Easter egg.

Its like reading reddit comments now. Many of them are generated by AI and bots, and they sound just like real people. Or advertisers masquerading as regular people recommending specific products.

It used to be fairly obvious (using em dashes, etc) but now AI writing, with the correct guidance, is very much the same as regular conversational writing.

Here is the full study.

https://www.frontiersin.org/journals/psychology/articles/10....

It reminds me of the part in the film `I, Robot (2004)`. The protagonist, Detective Spooner, is driving down a freeway. Driving has been automated at this point in the future, however drivers can manually drive if they elect to do so. And the driver's passenger (the robot shrink) was utterly shocked that Detective Spooner engaged manual driving.

Will we eventually be so accustomed to LLM's that we will be similarly shocked when someone elects to not use them?

That is an excellent book that describes the changes higher education is facing in its students around 2014-2018. I have read it about a year ago.

They really ought to do a follow up for 2026. From what I gather talking to faculty and professors, this problem became noticeably worse since COVID and the years following. A follow up book or study would be very interesting to read.

I wonder if the latest Jurassic Park: Rebirth film drew from this?

There is a reference to global warming that is similar to the poem. That the world will heat up, and humanity will die, and the earth will continue on as it has for a million years. The film mentioned the “the earth will shake us off, like a summer cold”.

This seems fairly comparable to the soft rains poem in this piece.

You jest but this is exactly how Anna’s Archive was set up. Anyone can copy the infrastructure code’s git repository and set up a mirror of the site and trackers under a new domain relatively quickly.

Maybe a similar setup can be done for banned AI weights?

It’s also great in wartime, when communications are likely to be interrupted. For an example read the book “All the light we cannot See” by Doerr

They do, what Apple does release is referenced often in discussions.

https://github.com/apple-oss-distributions/xnu/blob/f6217f89...

https://lore.kernel.org/asahi/c13d95d0-911f-48f6-b4ca-8a5e9a...

Can this go up and down stairs? If I want my home tidied up, I want the whole home done not just one floor.

For 100 USD I can get a Roomba or Roborock for one floor and because that is so cheap I don’t mind this limitation. But for 8-10k USD I would expect this very common household feature to be solved.

Check your local Costco, I snapped up a 512 GB model for 1197 last Saturday.

GM just did this in the last 30 days [1], and their sales are likely going to be just fine. In fact the auto industry has repeatedly automated jobs over the last 100 years, and they still make decent sales numbers.

If you decided to boycott every company that replaced staff with automation, you would be forced to exit the economy. Every company does this to some degree and the customers who vote with their wallet do not seem to care about a reduction in force.

[1]: https://arstechnica.com/ai/2026/06/gm-installs-robots-at-fla...

Let's be honest, at a certain point it's a hobby. And it's still cheaper than snowboarding.

This seems to be less about K8’s and more about the infra as code movement. It doesn’t matter if you use K8, CDK, or terraform - you get the same benefits the OP stated across the board.

It is nice to be able to have a consistent deployment pattern, with traceability, rollback support, and production approval checks. It’s nice to not have some archaic something stuck in someone’s head. It’s also nice to be able to see how something works by reading the code, which is usually up to date and deployable.

It noticed a flooding area due to low grass by the walkout door. It noticed mixed 15 and 20a receptacles on the same circuit. It noticed warped siding and recalled circuit breakers still in use.

Similarly, I used gen ai to review a real estate purchase. I provided Zillow listing photos and serial numbers of all appliances, the electric panel, and a few additional not pictured areas that I took during the walk through.

I prompted the AI to write a report as if it were a home inspector and it actually did a better job and identified some issues the paid 750 usd inspector missed.

It is useful if you automate generating release notes. Then your notes are grouped by new features first, then bug fixes after. This makes it a little easier for non-technical uses to read.

I use Optery for about two months a year, seems to do a good enough job for most of the data brokers. There are also discounts or promo codes to lower the price as well.

https://www.optery.com/

HN Launch: https://news.ycombinator.com/item?id=30605010

Promo codes: https://www.optery.com/optery-promo-codes/