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Exactly.. and it’s not even the height. It’s mainly the width + placements of UI elements at the top.

Air could’ve been the perfect mini replacement. Same width, but higher.

But no.. why get the air when the pro has so much more of everything, and is only 100 more


Local llm.. everybody is scared of privacy.. many people don’t want to buy subscriptions (still).

Just sell a proper HomePod with 64GB-128GB ram, which handles everything including your personal LLM, Time Machine if needed, back to Mac (Tailscale/zerotier)

+ they can compete efficiently with the other. Cloud providers.


It’s a mistake to generalize from the HN population.

Most people don’t care about privacy (see: success of Facebook and TikTok). Most people don’t care about subscriptions (see: cable TV, Netflix).

There may be a niche market for a local inference device that costs $1000 and has to be replaced every year or two during the early days of AI, but it’s not a market with decent ROI for Apple.


An iPhone, Macbook, etc all cost in the $1000 range.

There was a post about the new iphone using A19, which includes a feature that makes local inference much easier.

If that makes it to M5, I think the local inference case continues to grow with each M processor.


> Just sell a proper HomePod with 64GB-128GB ram

The same Homepod that almost sold as poorly as Vision Pro despite a $349.99 MSRP? Apple charges $400 to upgrade an M4 to 64GB and a whopping $1,200 for the 128GB upgrade.

The consumer demand for a $800+ device like this is probably zilch, I can't imagine it's worth Apple's time to gussy up a nice UX or support it long-term. What you are describing is a Mac with extra steps, you could probably hack together a similar experience with Shortcuts if you had enough money and a use-case. An AI Homepod-server would only be efficient at wasting money.


> The same Homepod that almost sold as poorly as Vision Pro despite a $349.99 MSRP?

The HomePod did poorly because competitor offerings with similar and better performing features were priced under $100. The difference in sound quality was not worth the >3x markup.


Have a team pushing out opitmised open source models. Over time this thing could become the house AI. Basically Star Treks computer.


And at that time people here were laughing at the Japanese that they had cameras on their phone and iMode

Song lyrics were about purikura


Doesn’t npmjs do things like signing, pinning, and yanking packages, like rubygems?


Yes


Run anything in some sort of container or sandbox


Whenever I see portmappings I die a little inside. OrbStack makes so much more sense be default


vs $11 for docker? blech


Honestly just the debug shell alone is worth a good amount of $. You can remotely run shell commands on your deployed docker container and install packages that are not available in the base image without modifying the base image which can be a life saver.

https://docs.orbstack.dev/features/debug

Let alone the local resource monitor, increased, performance, automated local domains (no more complicated docker network settings to get your app working with local host), and more.


Check out my tool https://github.com/jrz/container-shell

I basically use (orbstack) docker containers as light weight VM, easily accessible through multiple shells and they shutdown when nothing is running anymore.

I use them for development isolation? Or when I need to run some tool. It mounts the current directory, so your container is chrooted to that project.


it does sound pretty compelling


See my other reply


Time to start taking that those CS classes before blogging


This response comes across as unnecessarily toxic and quip-y, which is a shame because there's real substance here. The author clearly understands database design, referencing concepts like normal forms and Boyce-Codd Normal Form (BCNF). Even if I don't agree with the conclusion, I have to respect anyone who takes the time to lay out their argument. Challenging ideas are what help our community grow.


Time to start proofreading your comments before posting.


Guessing from the relevant masters thesis linked on his site and his time at materialize and tigerbeetle, Jamie's been working on databases for at least like 15 years?

At least personally when Jamie says something I listen. :)


So any VC funded startup should use for free in your opinion?


Finally someone sane.


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