I’m down for that.
4,595 karma · joined March 8, 2009
I’m down for that.
Yes, in the sense that Aleksander Dugins foundations of geopolitics exists and is taught in military schools in Russia. It proposes - among other tactics, exactly this approach. Splitting hairs, gaslighting and exhaustion.
There's a great clip of him parallel parking a tail dragger at some fly in on the side of a mountain somewhere in his videos.
Half way through the bottle one of them said "You know what? We could build Smalltalk on top of UNIX!". and thus was born obj-c and Nextstep.
There are still things that nextstep is more than ahead of the bleeding edge with. Time tends to erase perspective. Here's an example:
// get a connection to some server
id server = [NXConnection connectToName: "exampleserver"];
// Then use objects on that server.
List *aList;
Widget *aWidget;
aList = [server widgetList];
aWidget = [aList objectAt: 0];
NB: This example is fantastic for building distributed apps. BUT accessing objects made a local proxy copy of the object. So you wouldn't want to run your world weather model through it - it would copy gigabytes of data over the network.Also, as you can probably imagine it was horribly insecure, with no encryption. It was the late 80's, early 90's.
NeXT was attempting to bring OOP programming to the masses, along with some really excellent for the time (and even now) rapid development tools.
Try some of the applications (FrameMaker, Mathematica, IB, etc) on NeXT. Then try the equivalents on Sun (which they were holding up as the exemplar in that audio chat), not even in the same ballpark.
They actually got very good traction in financial services and a few other areas. Just too late.
As for the hardware, they were 3 years too early for what they wanted to do. Had they held in until 1996 they could have had a fast enough machine for the price target they wanted. (Say 100mhz, 32meg ram, ~gig disk, high res colour).
Edit: Of course it turned out NeXT was right once they got a large enough market for it when they acquired Apple.
Really if you have any NeXT software you should make copies and share with the world.
Along the lines of this: https://en.wikipedia.org/wiki/IBM_and_the_Holocaust
https://www.youtube.com/watch?v=tgCMsSqfR1A
https://www.youtube.com/watch?v=42FIyhCDDB4They'd all gladly sell me a pass, but none told me what station to leave/arrive from what time the trains were, etc.
Where is all that bandwidth going? Are none of these synthetic benchmarks stressing memory IO that much? Surely compression should benefit from 400GB/sec bandwidth?
This also raises the question how are those multiple memory channels laid out? Sequentually? Stripped? Bitwise, byte wise or word stripped?
Great soundtrack. Respect.
Maybe not all of it. But I wouldn't doubt if bits of it went all the way back to the early days where a fancy dictionary was one of the star features of NeXTStep.
I get that same feeling here, and I love it.
Not really. Their Schtick is to move to a different low cost of living country and live there.
Preferably several - one for the summer one of the winter and another for fall/spring.
It’s more radical lifestyle design than “dodging taxes”.
Improv 2.0 was only available for windows x86.
Lighthouse design quantrix for nextstep is available on m68k, x86, hp-parisc and sun hardware.
Then there’s an offshoot of lighthouse design quantrix which is quantrix modeller written in Java and available for windows and Mac. It costs $2500/year.
I’m learning improv on m68k and quantrix(the manuals interchange freely) on m68k/x86.
What happened was lighthouse design came in and built an exact clone of improv called quantrix. The manuals were interchangeable - I’m actually learning them now.
I bought a boxed copy of improv and quantrix manuals. It is /excellent/ we really have a lot of excellent ideas in our computing past.
If you want a copy of the lighthouse apps (they gave away licenses when sun bought them in 1996 or so. ) check out next computers.org They have a file section.
Most dictators are not very intelligent. Just like Donald Trump is not very intelligent.
Cunning and with social smarts would be apt. These guys really know how to play people off each other, and manipulate, like, really well.
Most of the NeXT senior staff (jabs, avi, etc) Went on to take over roles at Apple. They also brought in all the NeXT technology and threw out Apples' Nextstep/Openstep->Mac OSX
Not so much now, they've found a cash cow and seem to be entranced by it.
iBooks won't sync ePub files I add manually.
<A bunch of other niggles, too many to list>
Now we find out Apple cares more about its image, than quality.
I've been wanting to move away from Apple for a while, but this finalises it. I'll be doing one final upgrade to the ARM chips, then putting effort into moving away. Including funding projects if needed.
This is a really bad look for Apple. It's clear they're not worthy of my trust.
Location: West coast Canada. Remote: Yes.
Technologies: Machine learning Python, Tensorflow/Keras/pytorch, spark, AWS, kafka, HDFS, logstash, etc. A whole host of technologies over 20 year career.
email in profile.
I'm an experienced Data scientist, who's worked on a bunch of interesting projects. With Covid I've come to realize I need to work in public more often. So an ideal fit would be a small/medium company with hair on fire problems that need solving.
What sort of problems do I like?
A Taxi company in latam hired me to built a fleet maintenance system. It predicted and scheduled preventative maintenance to reduce wear and tear and avoid breakdowns. We also identified the leading cause of wear - leadfoot drivers. So we built a system that would identify aggressive driving.
Another example was a speculative sports highlights annotation system I built with a consultancy. It ingested sports video and identified predetermined highlights in baseball - diving catches in our case. The ML pipeline was a CNN model which fed into an RNN. Given a bunch of video clips of diving catches as training data, it could later identify those diving catches and automatically annotate the video feeds.
Who shouldn't contact me.
If your market is Ads or gambling I'm not interested. Sure there's lot of money, but I'd rather sleep at night. Thanks.
Things I'd love to work on:
ML security and safety. Can your DS process be made to give up its internal workings? Can I subvert it to cause unsafe conditions? Almost no one is thinking about these questions, and I'd like the chance to.
Location: West coast Canada. Remote: Yes. Relocate: No.
Technologies: Python, Tensorflow/Keras/pytorch, spark, AWS, kafka, HDFS, logstash, etc. A whole host of technologies over 20 year career.
email in profile.
I'm an experienced Data scientist, who's worked on a bunch of interesting projects. With Covid I've come to realize I need to work in public more often. So an ideal fit would be a small/medium company with hair on fire problems that need solving.
What sort of problems do I like?
Well a Taxi company in latam hired me to built a fleet maintenance system. It predicted and scheduled preventative maintenance to reduce wear and tear and avoid breakdowns. We also identified the leading cause of wear - leadfoot drivers. So we built a system that would identify aggressive driving.
Another example was a speculative sports highlights annotation system I built with a consultancy. It ingested sports video and identified predetermined highlights in baseball - diving catches in our case. The ML pipeline was a CNN model which fed into an RNN. Given a bunch of video clips of diving catches as training data, it could later identify those diving catches and automatically annotate the video feeds.
Who shouldn't contact me.
If your market is Ads or gambling I'm not interested. Sure there's lot of money, but I'd rather sleep at night. Thanks.
Things I'd love to work on:
ML security and safety. Can your DS process be made to give up its internal workings? Can I subvert it to cause unsafe conditions? Almost no one is thinking about these questions, and I'd like the chance to.