as a broke ecologist, this little computer can do everything I need in R and word and is a phenomenal build for the price. I'm really enjoying it thus far.
How did you get one already? I thought they were just up for pre-order
yea, preordered.
Big data on the cheapest MacBook
151–160 of 321 posts
Re: Big data on the cheapest MacBook
#152I’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.
It will do real work fine. But slack and a browser will bring it to its knees.
You don’t have an 8GB Apple Silicon MacBook, so you? So why did you post?
Re: Big data on the cheapest MacBook
#153Earlier quoted context omitted.
Maybe if you have 100 browser tabs or something silly like that?
A couple YouTube tabs are enough if you leave them running for long enough. Just one YT browser process will easily take up 1-4GB sooner or later.
Or it won’t because Chrome and MacOS will know how much RAM is available and manage it effectively.
Re: Big data on the cheapest MacBook
#154Earlier quoted context omitted.
Do they make any promises about persistence of local NVMe after something like a full-region power outage yet? Because if you can't do durable commit on a single-region cluster that will be just temporarily unavailable without loosing committed data if something like that happened, it's not quite there unless you still stream a WAL to storage that they do promise you will survive a full blackout of all zones that sto…
You already lose your data after instance restart so I think that full region outage is already out of question.
Idk how an AWS region would respond to a power outage, but i have tested this in AWS Outpost, and there, if you power down a rack, then power it back again, the baremetal instances will not be recreated. (I was surprised as I was expecting the EC2 health check to terminate them, but it does not work like that.)
My understanding is that if you stop/start an instance, your local storage is gone (as the instance might even end up in a different host), but if you just reboot the instance, it should keep the local storage.
Re: Big data on the cheapest MacBook
#155Earlier quoted context omitted.
[flagged]
I never met someone using Apple laptops professionally who thought it was a status symbol. I only keep hearing this from non-Apple users.
The only status it brings is "smart enough to not use Windows 11" or "cares enough to get the work done rather than fighting with Linux on laptops".
(I use Linux on desktop as a first choice, but it's always been an uphill struggle with laptop wifi/power manglement/audio for me. I blame the esoteric chipsets used in the machines I've bought in the UK)
Re: Big data on the cheapest MacBook
#156Re: Big data on the cheapest MacBook
#157Earlier quoted context omitted.
delete pls
Sometimes the truth is succinct.
If someone would call Apple customers idiots, would they get banned for breaking HN rules? After all, they were the ones who kept buying generations of overpriced overheating intel garbage with keyboard that would break from spec of dust. Would that not also be the truth?
Then why is it OK to call other people, Mac Neo skeptics in this case, idiots?
Re: Big data on the cheapest MacBook
#158I’ve been tempted to buy one and do “real dev work” on it just to show people it’s not this handicapped little machine. I built multiple iOS apps and went through two start up acquisitions with my M1 MBA as my primary computer, as a developer. And the neo is better than the M1 MBA. I edited my 30-45 min long 4k race videos in FCP on that air just fine.
It's starting to show its age, but I've been using a 2019 MacBook Pro with the Intel chip and 16GB of memory. Still handles multiple terminal sessions with Claude Code and Codex simultaneously, building in Xcode, running Docker in the background, etc. (Maybe the fans sometimes sound like they're a jet engine taking off…) Finally just put an order in for a new 16" MBP M5 Max with 48GB memory only because it looks like…
I use a 2015 MacBook Pro all the time--like right now. It does have 16GB of memory. It's what sits on my dining room table where I do most of my writing/browsing and which I take for travel. I do have an Apple Silicon MacBook Pro in my office but my downstairs "office" is a lot lighter and airier.
Re: Big data on the cheapest MacBook
#159Re: Big data on the cheapest MacBook
#160[flagged]
Which laptop is this, with good Linux support?