kraemate

What LLM backend does it use?

Wow, who knew making proprietary accelerators could be so profitable.

Its called a fruit?

So, are people who work for microtargeting platforms (FB etc) war criminals?

IIRC you could always overcommit in Mesos using DRF weights and accepting resource offers in your application. I could be wrong.

The larger point is that Mesos introduced a new, exciting way to do truly distributed allocation (where the cluster manager (i.e., Mesos) and various applications coordinated and cooperated in how they use computing resources). In contrast, Kubernetes is centralized, pretty vanilla, and I would love to know what new ideas it has introduced (from an algorithmic and architecture perspective).

Mesos made a ton of new contributions to distributed resource management. Resource offers and application integration can allow high cluster utilization and efficiency. Giving applications the opportunity to take part in resource allocation and scheduling was similar to the Exokernel design, and led to many interesting middleware architectures.

Mesos also introduced Dominant Resource Fairness for allocating resources to competing applications, which has become an important concept in CS and specifically computational economics in its own right.

Mesos achieved the rare combination of using CS research towards a widely deployed operational system. Its C++ code is simple enough to understand and hack, and seemed like one of those projects that you can/want to reimplement on your own "in a few days".

It is sad how quickly it has become obsolete.

In almost all cases, the support of these giant corporations is towards feature-sets that are inherently self-serving. In many cases, they wield too much power and hijack the direction of the opensource projects. For example, there's plenty of optimizations for server-side CPU performance on Linux, often to the detriment of desktop interactive performance (see Con Kolivas' scheduler and his 10+ year long struggle).

You can apply this logic for any wasteful activity. Lets boil the ocean with coal-fired plants, because something something production vs. consumption.

Sorry, why is this downvoted? There is a serious argument to be had about the source of income for surveillance and tracking driven websites. If the oft-used line of "users being products" is true, then where's our profit?

So, do its main revenue generators (i.e., users) get a share of the profits?

It's in the paper: https://github.com/seemoo-lab/csicloak

Very interesting and different way to "visualize" non determinism. The connection to quantum mechanics is intriguing...

He is the richest person in the world. Such trivial rules dont apply to him...

It is Elon Musk---why would he care about the proles' "environment"

I have always wondered what common usecases such systems address. How large are the graphs typically? Are graphs really that big that they dont fit in a single machine?

OK I had missed the kata containers blurb in the FAQ, thanks for pointing it out. In fact the tweets make my point: we are all so blinded by new shiny releases that we forget their highly incremental nature.

Clear containers (now called kata containers) did this more than three years ago, with similar performance numbers (sub 200 ms boot times). It is frustrating, but not surprising, to see the same regurgitated solution receive this much excitement. The firecracker documentation also does not mention the similarity with prior work, oh well.

[Not affiliated with Intel in any way---just a long-time proponent of the clear containers approach.]

How many custom kernels are out there?

Given the already sad state of most user-space software, do we really want a proliferation of supposedly light-weight kernels?

MPTCP's bandwdith aggregation properties are cool---you can effectively use all your network interfaces for (MP)TCP connections.

Has anyone deployed it in data-center/cloud environments? I know that both Apple and Android support it for the mobile devices to use WiFi and LTE at the same time.

I've always wanted to switch from python's matplotlib to ggplot, but never found sufficient advantages to make the switch. Especially considering that I use python for doing data analysis, and pandas+ipython-notebook can be tightly integrated with matplotlib.

Plus I've found it easier to create compact figures necessary for academic publishing with matplotlib. ggplot's defaults create graphs that take up too much space!

We wrote a paper comparing containers and VMs for the middleware conference: http://people.cs.umass.edu/~prateeks/papers/a1-sharma.pdf

Infact, Table-1 in the paper confirms this. The astronauts that went to the moon lived significantly longer (65 compared to 56 years).

What about the relative lifespans of the astronauts? The ones selected to go to the moon were probably older, fitter, and more experienced when they made the trip. Did they outlive the other astronauts and the general population? Since mortality due to heart disease increases with age, did the moon astronauts just live longer?

I have always lamented the lack of such automation techniques on Linux. Even though Linux systems are open and free software platforms, their desktop interfaces are ironically less programmable as compared to OSX and Windows.

Wow, thanks for the script. Surprising in its simplicity. I would have thought this use-case was popular enough to warrant specialized tools etc. Especially in the scientific community where they transfer large files.

Does rsync auto-resume after failed connections?

The first poster in that thread was just asking for trouble, bringing that know-it-all attitude.

What can this do that cant be done with a keyboard shortcut?

Surely, credit-card info can't span 100s of terabytes, even if they record each and every transaction.

Does anyone know what data is Facebook trying to archive? Old user posts? But that doesn't fit this usecase because of the high latency.

Or maybe its just a nice content delivery mechanism to the NSA. Just ship a bunch of blue-rays instead of pesky optical fiber interception.