>>Home ownership is definitely a lifestyle choice first and foremost more than a financial one.
Same could be said about Real estate investments.
I know people who look up real estate investors as an inspiration as something they want to do themselves. One day trip scouting for properties, is enough to make them quit when they realise most of it is lots of irritating driving, due diligence, legal work, loans etc.
Hard things have little competition for a reason, process is a high attrition journey.
>>But the result has no meaning without the human intent behind the objective, human understanding to value the new pathway the AI used (more valuable than the result itself, by far) and the mathematical language (built by humans) to explore the concept.
Future of code is pretty much a bunch of guys shepherding a bunch of agents to get them to your goal.
I don't see how math might not go that way as well.
As a matter of fact more logic and structure to your work, the more easy it is for AI to conquer it. Due to this programming was the first thing that got solved, but pure sciences are next.
If what you do, and how you do can be written down on a piece of paper, then AI can do it.
I do believe programming getting solved will be double assault on these fields.
>>This is not snobbery
This is good for the species, what sense does it make to keep treating these fields like they are reserved for the top most intelligent micro percentage of humans? Getting LLM to these things gives some scale to these subjects and thats good.
If you break down a complicated coding problem in smaller parts, it could be any problem.
You will see its basically a very reusable part thats already done uncountable times else where.
People who think they do something so special and novel that it just can't be done by non-human, struggle with breaking down a problem in smaller parts.
Even if you do have such novel problems, its not like every single day, every single bit of work you do is like that.
>>the real Steve Jobs without the distortion field
A lot of things come in full package, same person putting in the same effort(if not better) in a different place/situation doesn't give the same results.
I once worked with a senior engineer/leader at a electronics company who delivered great products/results and ran the shop to literal perfection for like a decade. The company got sold, and he moved on. He was just not able to replicate the same success after that ever, despite by his own admission he tried even harder else where.
Despite the fact that Jobs was like the greatest ever, Im sure without Apple, its culture and overall company inertia he wouldn't be able to do much either.
This is also why if you have some kind of a winning combination you are better off sticking with it even if its not entirely perfect. Anything else could be way worse.
If you read books like the one mentioned above, even if biased, you will see that he did not do pretty well with NeXT, it was actually a mess.
Outside the impressive hardware and NeXTSTEP, NeXT was bleeding most of the time, had it not been for a few generous VCs that had Steve Jobs in high regard, NeXT would not have survived until the moment of Apple's acquisition proposal.
Having your company acquired by Apple, having them base vital parts of their business on your technology, and having your leadership merged into theirs could be seen as a successful outcome.
Everything you wrote is some definition of hard, but all doable. None of this is purely in the territory of 'known' impossible(like FTL travel).
Now different people have different points where they quit when things get hard.
This is true for even everyday things in life. Quitting triggers exist for people at various points in the ladder. The end of ladder and path both exist, its upto you to decide if you wish to continue climbing, or give up and quit.
My problem is not the doing thing but the economy of it.
We are nowere near any resource limitation on planet earth for AI Datacenters.
Musk sells this story because he has Starship which needs payload to make financial sense. The payload doesn't exist so he inventes DC in Space.
Its the same thing as SpaceX buying Tesla Cybertrucks.
His old colossus datacenter is a 300MW Datacenter he now rents out to Anthropic because he doesn't even need his own compute. Colossus DC is probably 10x cheaper than his whole Space AI DC Story and will be for a long time.
> Everything you wrote is some definition of hard, but all doable
The first line of the post that you are supposedly replying to is:
> Of course it works, the question is how this would look like and if its financial feasable.
Unless is cost-comparable to a data centre on Earth, and I am told that it very much is not, then there is no financial feasibility for space datacentres.
I think Elon Musk is quite literally the living example of what high agency lifesytle would look like.
One could argue he likely knew way less than your day job rocket scientist or battery experts when he started out. But these people believe so as long something is not impossible by known physics it is doable, and hence there is a way to get it done. And then they do it.
That is you wake up everyday, and do whatever it take to get things done. You keep moving forward, you keep taking the next steps.
Of course you need lots of other aspects of human enterprise like tenacity, productivity etc for all this. But once you get the root value right, all things descend from there on.
Unfortunately that is also how luck works as well.
You are lucky if you think you are, start on this path you are likely to increasing make choices that tend towards increasing your chances of success(i.e luck).
>>LLMs can research what a tool does before calling it though
Thats stretching the definition of 'research', it basically checks if the texts are close enough.
Delete can occur in various contexts, including safe contexts. It simply checks if a close enough match is available and executes. It doesn't know if what it is doing is safe.
Unfortunately a wide variety of such unsafe behaviours can show up. I'd even say for someone that does things without understanding them. Any write operation of any kind can be deemed unsafe.
Same could be said about Real estate investments.
I know people who look up real estate investors as an inspiration as something they want to do themselves. One day trip scouting for properties, is enough to make them quit when they realise most of it is lots of irritating driving, due diligence, legal work, loans etc.
Hard things have little competition for a reason, process is a high attrition journey.
reply