I figured it would be a tough one.

These are mail insertion machines I worked on for several months as a mechanic. It’s a little blurry since that were moving, but here it is in action:

Interesting guess, but no.

Related to envelopes, but not for folding.

Spot on.

Lol, that’s a no. It’s for an industrial machine.

More of a “put all of this stuff together in one package” sorta machine. The wear piece does push something while riding in the tracks. Technically the tracks do have various depths, but that’s not too important to the general function of the assembly.

There is no cam type function in the machine. The assembly is solidly attached to the bar that moves.

The bar is aluminum and the square ish piece on the left is low friction plastic.

Closest guess so far! The track is correct. Not for manufacturing per-say, but definitely a complex machine.

Lol. It’s not car related. This is for a larger stationary machine.

Not quite. The assembly moves around for other reasons.

Other comment guessed the same thing. The bar controls where the assembly goes instead.

Pushing is correct :)

That’s actually getting pretty close. The main difference is that the roles are reversed: The attachment point controls where the assembly goes.

I’m afraid not. The only attachment point is the round hole on the right.

Hammer is the correct term, but that’s not what they are. They come from a machine.

Not for a piano. It’s more industrial.

Are you able to share pics of your collection?

I would suggest looking at datapacks for anything similar. It’s insane what can be done in them, so I wouldn’t be surprised if they could do what you want.

Translation for the lazy: “The voices are getting louder”

As a long time Calvin fan, that there is an edit. First off it’s a typeface instead of hand written. Secondly, those panels are originally about Calvin Ball (and I think specifically about bed time)

The way I see it, all these general LLMs and AIs are just the learning tools for the actual future use for ML.

Companies are throwing money and research at them for easy gains, but once the bubble pops, most of them will be irrelevant and will die off. Once there’s no reason to “move fast and break things”, the actual slow and methodical research will start happening to find where ML belongs in this world.

In the future, specialized companies will utilize all the research being done today to craft more focused tools that do things that machine learning is actually useful for.

ML tech isn’t going away. It just needs to mature to the point where these useless bots aren’t worth the effort.