My main reason for getting into Linux, forget the version or distribution maybe Slackware or RH at the time (later loved Debian the most) was that windows in that era was horribly unstable, BSOD etc
I dug into this a bit (with AI ofc) and it spat this out. I found it an easy way to visualise and start to understand:
> Standard AI models (like GPT-4) treat data using Global Geometry. They imagine every word as a point floating in a massive, flat, high-dimensional room. To see how two words relate, they draw a straight line between them.
> Local Topology changes the "room" into a landscape (a manifold). Instead of a flat void, the data exists on a curved surface that has hills, valleys, and paths.
What is a "high-dimensional room"? A "room" is by definition three-dimensional in so far as we're using metaphor for description. Then to add this "high-dimensional" modifier does little for me, since the only visualizable high-dimensional cube is a tesseract, which still leaves you at 4-d.
The presented counterpoint to this metaphor has the "room" change into a "landscape". The room is a "flat void" compared to a landscape with "hills, valleys, and paths". None of these landscape features evoke higher dimensionality in my imagination. Certainly not in the way, say, the metaphor of the "coastline" of Great Britain does when discussing the unusual properties of a fractal.
These moves don't shift my railroad mind from one track onto another. So I wonder, if a metaphoric usage is not in some way universal, how can it be instructive?
Maths I’ve never heard of. Possible. Probable. And what you’re saying is the words “room” and “landscape” are _over coded_ to such an extent the natural logic of 3-d rooms and 2-d landscapes are easily overcome by scaffolds of mathematical instruction—such that the latter could be imagined as having *higher* dimensionality than the former, for example? Or whatever other idea orbiting those words counter to their nature. That’s very interesting.
> Value is shifting to operations: deployment, testing, rollbacks, observability. You can't prompt 99.95% uptime on Black Friday. Neither can you prompt your way to keeping a site secure, updated, and running.
I agree somewhat but eventually these can be automated with AI as well.
Unless you replace the entire workforce, you'd be surprised how much organizational work and soft skills are involved in an infrastructure at scale.
Like sure, there is a bunch of stuff like monitoring, alerting that is telling us that a database is filling up it's disk. This is already automated. It could also have automated remediation with tech from the 2000s with some simple rule-based systems (so you can understand why those misbehaved, instead of entirely opaque systems that just do whatever).
The thing is though, very often the problem isn't the disk filling up or fixing that.
The problem is rather figuring out what silly misbehavior the devs introduced, if a PM had a strange idea they did not validate, if this is backed by a business case and warrants more storage, if your upstream software has a bug, or whatever else. And then more stuff happens and you need to open support cases with your cloud provider because they just broke their API to resize disks, ...
And don't even get me started on trying to organize access management with a minimally organized project consulting team. Some ADFS config resulting from that is the trivial part.
If "99.95% uptime on Black Friday", and "keeping a site secure, updated, and running" can ever be automated (by which I mean not a toy site and not relying on sheer luck), not only 99.99% of people in IT are out of a job, but humans as intelligent beings are done. This is such a doomsday scenario that there's not even a point in discussing it.
There are two Graphite companies. The time series DB for metrics (not this) and the stacked diff code review platform (this). Looking at other comments under the post, they seem to have executed a hard AI pivot recently.
It’s the year of the Linux desktop!
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