These are fascinating, if somewhat scary, times.
https://reorchestrate.com/posts/your-binary-is-no-longer-saf... https://reorchestrate.com/posts/your-binary-is-no-longer-saf...
Even SaaSS isn't safe from that type of process:
The bigger issue is patent abuse - file or buy a few poorly specified patents and then use them along with litigation to shut down competitors. This generally leads to bolstering the bigger companies at the expense of smaller companies due to the costs of litigation.
Basically, software patents can turn developing software into a minefield. It can end up that only people with access to legal departments will be able to sell software.
I don't think real AI is around the corner but plenty of people believe it is & they also think they only need a few more data centers to make the fiction into a reality.
This is not always true, for an extreme example see Indistinguishability obfuscation.
So with "Real AI" you actually mean artificial superintelligence.
Evolution built man that has intelligence based on components that do not have intelligence themselves, it is an emergent property of the system. It is therefore scientific to think we could build machines on similar principles that exhibit intelligence as an emergent property of the system. No woo woo needed.
There are lots of other analogies but the moon ladder is simple enough to be understood even by children when explaining how nothing can emerge from inert building blocks like transistors that is not reducible to their constituent parts.
As I said previously, your time will be much better spent convincing people who are looking for another religion b/c they will be much more susceptible to your beliefs in emergent properties of transistors & data centers of sufficient scale & magnitude.
Congratulations, you're working on a space elevator. A few trillion dollars would certainly get us out of the atmosphere, and the amount of advances in carbon nanotube and foam metal would rocket us ahead decades in material sciences. Couple this with massive banks of capacitors and you could probably generate enough electricity for a country by the charge differential from the top to the bottom.
Oh, I get it, you were trying to be clever by saying something ignorant because it makes you feel special as a human rather than make realistic statements for the progress currently being made in the sciences.
Sure, but this ain't it.
Actually, I think LLMs are a step in the wrong direction if we really want to reach true AI. So it actually delays it, instead of bringing us close to true AI.
But LLMs are a very good scam that is not entirely snake oil. That is the best kind of scam.
Any particular reason beyond feelings why this is the case.
We already know expert systems failed us when reaching towards generalized systems. LLMs have allowed us to further explore the AI space and give us insights on intelligence. Even more so we've had an explosion in hardware capabilities because of LLMs that will allow us to test other mechanisms faster than ever before.
I guess it depends on your intention, but eventually I'm not sure it'll even be possible to keep it "fully proprietary and closed" in the hopes of no one being able to replicate it, which seems to be the main motivation for many to go that road.
If you're shipping something, making something available, others will be able to use it (duh) and therefore replicate it. The barrier for being able to replicate things like this either together with LLMs or letting the LLM straight it up do it themselves with the right harness, seems to get lowered real quick, massive difference in just a few years already.
Right now you can point claude at any program and ask it to analyse it, write an architecture document describing all the functionality. Then clear memory and get it to code against that architecture document.
You can't do that as easily with closed source software. Except, if you can read assembly, every program is open source. I suspect we're not far away from LLMs being able to just disassemble any program and do the same thing.
Is there a driver in windows that isn't in linux? No problem. Just ask claude to reverse engineer it, write out a document describing exactly how the driver issues commands to the device and what constraints and invariants it needs to hold. Then make a linux driver that works the same way.
Have an old video game you wanna play on your modern computer? No problem. Just get claude to disassemble the whole thing. Then function by function, rewrite it in C. Then port that C code to modern APIs.
It'll be chaos. But I'm quite excited about the possibilities.
I have successfully created a partial implementation of p4 by pointing it at the captured network stream and some strace output. It's amazing how good those things are.
I think it’s entirely reasonable to release a test suite under a license that bars using it for AI reimplementation purposes. If someone wants to reimplement your work with a more permissive license, they can certainly do so, but maybe they should put the legwork in to write their own test suite.
And if anything can be reimplemented and there’s no value in the source any more, just the spec or tests, there’s no public-interest reason for any restriction other than completely free, in the GPL sense.
It doesn't if Dan Blanchard spends some tokens on it and then licenses the output as MIT.
LLM companies and increasingly courts view LLM training as fair use, so copyright licensing does not enter the picture.
Even prior to this, relatively simple projects licensed under share alike licenses were in danger of being cloned under either proprietary or more permissive licenses. This project in particular was spared, basically because the LGPL is permissive enough that it was always easier to just comply with the license terms. A full on GPLed project like GCC isn't in danger of an AI being able to clone it anytime soon. Nevermind that it was already cloned under a more permissive license by human coders.