Musings:
I'm thinking that what may be at the core of this argument, at least on the Tech side, is one of "dimension gap". When speaking about Darwin we understand the time scale involved, the context. We understand that it is a long process. When thinking about technology we tend to fixate on the results, or if not, ignore most of the context.
When thinking about technology people tend to think of individuals as agents of change. Thomas Edison. Wilbur and Frank Loyd Wright . . .

. . . our natural tendency to reduce complexity to a soundbyte leads us to look for heroes, and the heroes themselves are often motivated to help propagate this idea. Tech Evo and Design are likey to be opaque to any outsider. Why should it be otherwise? It's good marketing to condense a cumbersome process into one that fits the human need for ego gratification.
As I said before, Evolutionary Algorithms
are a great demonstration of the power of the "evolutionary approach", it is just that to work in engineering the selection criteria are chosen so as to direct the "evolution" of the design towards meeting the specifications. This direction is not the same as in real evolution where there are many different "solutions" to the problem of "reproduce".
If we say "evolution is akin to technical development", I think that many people would immediately think of something akin to the Manhattan Project: The goal was known from the start. There were many failures, some of them fatal, but people were able to learn from these failures and avoid them in future. This doesn't happen in biological evolution. As mutation is random, if a deletereous mutation occured in one individual, it has the same probability of happening to that gene in a different individual as before (assuming something hasn't altered the probability of it mutating). The chances of the identical mutations occuring in two different individuals is very small, but it still exists. If I throw a thousand-sided die and get 678, there is a 1:1000 chance that the next person will throw 678, of course,
before throwing the first die, the chance that
both dice throws will give 678 is 1:1million,
after the first dice throw it is up to to 1:1000...
Again some mutations are deleterious in some situations and not in others, there are many congenital anaemias, but they tend to be more common in the maleria belt, because of the imcreased resistance to maleria they sometimes confer.
We can't do this for Giraffes. No credit is given for the invention of the long neck, because the phenomenon, viewed properly, is a process. There is no long necked giraffe hero. 4 dimensional giraffe reality is a continuum of animals with different necks. And technology is exactly the same.
But not. It is not self-replicating. Or. . .
The first thing an inventor or engineer or designer does when presented with a problem to solve, (amateurs are are exempted from this stricture, and this is why we cringe when people find out that you make "new" stuff for a living and they want to show you the shiny new wheel they've just re-invented) is to look back in time. Look back into the tech genome. It's called "prior art".
What you see when you look there usually shocks the **** out of you. Didn't some Old Testament dude have something to say about novelty? Well it's true. The first patent I filed in the mid 80's was for a product idea that I thought had no existing market category when I began the process, and ended up including a reference to prior art almost 100 years old.
Another anectodote to ponder: As any R&D guy or inventor will tell you, and speak of as a "given", and the occurance of related litigation would be regarded as support of its veracity, is that, "If you're thinking about an idea somebody else is thinking about the same thing". What they fail to mention is that it's often "somebody else" in each county of each state of each nation in the increasingly globalized universe. No complaints. As the bar is raised, the field gets bigger. But still it gives one pause.
Agreed, but I would say that this is because the "variation" is not random; the type of the problem, and the state of the art "known solution space" are constraining the type of answers that are developed.
In designing a lift, one would not randomly select cable thicknesses, but a calculation plus safety margin would determine the type of cable thickness. That is not any way akin to random variation as occurs in Darwinian Eolution. I would go further and say that many, if not most design
parameter values are typically determined by calculation (recently they could be chosen by Evolutionary Algorithm too).
Back to the self-replicating issue: Without putting a Lamarckian label on anything, who's to say we won't see a Darwinesque leap into an identifiable memetic solution to the replication of ideas and therefore Tech Evolution? In which case such a process might be as "bottom up" as Darwin?
I am not arguing that it is couldn't be described as bottom-up.
Suppose there is a brainstrorm to solve a particular problem, the ideas that occur to people will be shaped by their experiences and by the nature of the problem, so would not be random "thoughts" (whatever they are). In the ladder example the "framing" of the problem tends to lead predispose people towards certain obvious solutions:
"The ladder is too short to reach the top of the apple trees"
The idea that immediately springs to my mind, is to lengthen the ladder.
"The top of the apple tree is too high for us to reach with the ladder"
This is more likely to lead to a different solution to this problem: growing the apples on dwarfing rootstocks so that ladders aren't needed; this is what tends to happen nowdays, as it reduces labour costs, though is less good for mixed livestock grazing amongst these trees.
However I would say that neither of those solutions were random, the ideas were a result of responses to the "intellectual environment" surrounding the problem.
Another, different type of example:
I work in semiconductor device development, and often need to optimise processes to achieve particular device characteristics. These processes often tend to be smoothly varying, so evolutionary techniques are not needed as much as in nonlinear systems (e.g. ecosystems).
A typical way to determine the optimum process parameters is to map out the response of the desired characteristic against the input parameters. Once this map has been created, one can then choose the area of interest and remap with finer resolution, and determine the process capability for these parameter conditions.
This approach isn't particularly "intrelligent", but nor is it akin to any random variation.
Seriously, if you think back to Lamarck's day, he was observing iterative change but had no means to understand the mechanism. Darwins genius was to grasp the cause/effect BEFORE he had any knowledge of DNA. Now we understand that powerful aspects of culture and environmet can be observed to evolve, but we can't exactly identify the mechanism. doesn't this sound familiar?
The point about Lamarck is that he hadn't had the blindingly simple insight to realise that the complexity could arise from
selection, he posited that it came from a directed variation, (we could call it "guided mutation" if that anachronism would have meant anything to him before genetics).
Darwinion evolution doesn't need "guided mutation", as the direction comes from natrual selection; Lamarcks theory doesn't need natural selection, as the direction comes from the "directed variation", it also happens to be wrong. In culture, especially technical development, I would say that alot of the variation is guided, but there is also selection (natural or otherwise).