by gtt on 5/2/24, 8:28 AM with 87 comments
by virtue3 on 5/5/24, 11:35 AM
I don't believe it's computers that are to blame; I believe it's complexity nightmare problem.
We have much tighter tolerances for everything now; everything "does more" and relies on my components.
Back when we used pen and paper to create military vehicles it was mostly JUST about performance and completing the objective. There wasn't thousands upon thousands of other requirements and features (whether or not this is a good thing is debatable).
by constantcrying on 5/5/24, 12:44 PM
What I think the article leaves unspoken (but implied) is the "curse of tools", if you give a person tools he is likely to use them, even if they might not be applicable. Meaning that someone might decide to create a complex solution to a problem, simply because the tools he has been given allow him to do so. I think it is always very important to keep in mind what has been achieved with the very limited tools of the past and the immense ingenuity of the people who worked within those limits.
by paulsutter on 5/5/24, 12:35 PM
Jet aircraft are 70% more efficient since 1967, largely from simulation [3], similar in automotive
Unclear how the NVIDIA H100 would have been designed by hand-drawing 80 billion transistors
Net-net: Computers necessary, but we need much better UIs and systems. Maybe AI will help us improve this
[1] https://youtu.be/vYA0f6R5KAI?si=SG1vLMMl8l3DuCYN
[2] https://www.nextbigfuture.com/2024/04/spacex-raptor-3-engine...
[3] https://en.m.wikipedia.org/wiki/Fuel_economy_in_aircraft
> Jet airliners became 70% more fuel efficient between 1967 and 2007, 40% due to improvements in engine efficiency and 30% from airframes.
by matheweis on 5/5/24, 12:56 PM
1. Economies of scale. It may be that drafting something up in CAD takes more cycles to get right up front, but once you have an established design it is much easier to reproduce it by orders of magnitude
2. Changes in software. Software companies are ever changing their interfaces, decreasing productivity every time their users encounter this learning curve.
by joeatwork on 5/5/24, 12:28 PM
by Nevermark on 5/5/24, 4:57 PM
1. When a job requires a mix of human and computer work, productivity changes are very dependent on interface details. Even one slightly confusing GUI, slowness of feedback, a tool that isn't quite as flexible as a job needs, or an inability to see/edit/use related information at the same time, can greatly harm productivity.
2. When a job is completely automated, productivity can go way up. But this productivity doesn't get attributed to human workers, it is corporate productivity. And then only if this highly optimized task really provides value. There is a lot of performative information processing, with conjectured long term payoffs, serving the needs of management and tech workers to look busy, and believe they are valuable.
For both human and corporate productivity, automation makes it extremely easy to decrease productivity due to the most subtle mismatches between problems and solutions.
When work is done by hand, these mismatches tend to be glaringly obvious, less tolerated, and more easily mitigated or eliminated.
by flavaz on 5/5/24, 9:02 AM
CRM tools add a lot of overhead to what should be a simple process- letting your manager know what you’re up to.
by geysersam on 5/5/24, 8:53 AM
by gieksosz on 5/5/24, 9:39 AM
by AndrewKemendo on 5/5/24, 3:02 PM
About 4 years ago I made a wall of my office into a chalkboard and that’s been where I work out massively complex interdependencies and data workflows
Nothing on a computer remotely compares to the speed and specificity of pen or chalk in hand
by nitwit005 on 5/5/24, 8:15 AM
I can actually remember Alan Greenspan discussing this, despite how young I was.
by dahart on 5/5/24, 4:03 PM
The entire computer industry itself has accelerated and grown because of computers, nowhere has he accounted for the “productivity” attributed to sales of computers. Fields I’ve worked in, video games and CG films, have absolutely increased efficiency with computers: for equal sized productions, the quality has gone up and the workforce needed has gone down over time consistently for decades.
The article has only one single and completely vague datapoint that includes anything from the last 30 years, that’s a major red flag. The invective portmanteaus and insult words are also a red flag and very weak argumentation. Is that supposed to make up for the complete lack of any relevant data? Not to mention some of the insults are worse than iffy by todays standards and don’t reflect well on the author.
Call me rather unconvinced, I guess.
by rdlecler1 on 5/5/24, 3:09 PM
Technological productivity isn’t just about improving the number of units or dollar value produced/hours input. Technology can make products more competitive without any increase in productivity by making them better, and, therefore more attractive, to customers even if unit cost or volume stays fixed.
by spit2wind on 5/5/24, 11:52 AM
by smeej on 5/5/24, 3:51 PM
by cushychicken on 5/5/24, 1:19 PM
by courseofaction on 5/5/24, 3:03 PM
by Samtidsfobiker on 5/5/24, 12:27 PM
My theory is that computers can't do rough sketching. No CAD software suite (I think) can iterate and evalute rough ideas as fast and flexible as whiteboard pen in a meeting room can.
by sobellian on 5/5/24, 8:17 PM
by hcks on 5/5/24, 12:21 PM
by TazeTSchnitzel on 5/5/24, 8:45 AM
by dopylitty on 5/5/24, 12:57 PM
When those complex systems fail and the computers stop working we'll be left without any traces of the knowledge generated in the past century or the people who generated it. We'll also have lost all the previous knowledge that was moved from physical to digital storage.
All future humans will see from the century is a whole lot of microplastics.