What is it with AI people and plagiarism? Here they are stealing Blender's mascot as their brand. (Scroll down to "Everything real was designed first" and they even have the Suzanne model spinning behind the text.)
“Well it’s not technically plagiarism because ChatGPT learned how to draw just like a human and who am I to stop it from being inspired by the Blender logo! Just don’t you dare imply that I am not the sole author of this work because that hurts my feelings you filthy elitist gatekeeper.”
One thing AI does well is allow businesses a much longer delay before realizing that designers’ real value is figuring out what things should look like to solve specific business problems. To CEOs/founders/presidents: The logo isn’t for you— it’s for your customers. Your personal taste and preconceptions should have no part in the process. Anybody with a few years in Illustrator could make any asset you needed. Just because you can make a neato looking logo with your chatbot of choice, doesn’t mean it’s an appropriate logo, and there are people who work for a pretty modest salary that can explain exactly why.
I've been thinking lately that all the talk about a AGI, Super intelligence, AI singularity today is practically not worth considering until they are capable of generating innovations to our current processes and materials significant enough to change the economics of running a plant. It should be obvious that a world with a system capable of improving itself rapidly would first need to be capable of improving it's own hardware but before that I think we should at least see some changes in the economics of creating and running manufacturing plants.
Agreed. Getting to the Singularity requires that the AI be capable of improving its own iteration cycle time for doubling its processor performance, across the board - which means everything from physical design to fabrication to packaging and all the logistics surrounding that; getting the chip into a working host machine, online, and into the cluster... it's going to take a lot of humans for quite a while before we really kick off into the exponentiation.
1. A frontier model wrapper that gens the designs
2. A bunch of humans behind the scenes ("AI means Another Indian") actually reviewing and fixing the design.
That is, get to market quickly with people, gather lots of data, and hope that models can be refined eventually so less/no human review is needed.
I recently worked with Claude Opus 5 High to help me build a testing rig for some acoustic tests. There was a lot of back and forth with each time Claude giving me the stereotypical "Great catch! I see my mistake in the previous iteration..." responses.
How could a person (of any ethnicity) be able to respond reliably enough and quickly enough to design nudges to be able to iterate back and forth on this kind of thing with any usable latency? I don't think it's possible.
For simple things, http://sendcutsend.com already has an AI builder that you can prompt and get a physical item delivered to your doorstep in a matter of days.
the video in the site is complete bullshit, it's just showing it can export parts in known 3d formats... so what? Show me what the AI is capable to do in an iteration. This seems like mostly vaporware and nothing concrete.
One thing AI does well is allow businesses a much longer delay before realizing that designers’ real value is figuring out what things should look like to solve specific business problems. To CEOs/founders/presidents: The logo isn’t for you— it’s for your customers. Your personal taste and preconceptions should have no part in the process. Anybody with a few years in Illustrator could make any asset you needed. Just because you can make a neato looking logo with your chatbot of choice, doesn’t mean it’s an appropriate logo, and there are people who work for a pretty modest salary that can explain exactly why.
Claude has helped me with brainstorming, but I do all the CAD and optimization.
Would be cool if, in 10 years, the prompt to prototype pipeline was as simple, quick, and effective as this landing page alludes to.
1. A frontier model wrapper that gens the designs 2. A bunch of humans behind the scenes ("AI means Another Indian") actually reviewing and fixing the design.
That is, get to market quickly with people, gather lots of data, and hope that models can be refined eventually so less/no human review is needed.
I recently worked with Claude Opus 5 High to help me build a testing rig for some acoustic tests. There was a lot of back and forth with each time Claude giving me the stereotypical "Great catch! I see my mistake in the previous iteration..." responses.