A tad ambitious, missing a few intermediary steps. Try solving logistics problems for say… a sandwich shop… before going on about “all of e-commerce” much less a Dyson sphere.
It’s not really obvious that this is at all necessary or the bottleneck. Or that running a planned economy ruled by AI is a goal to celebrate.
We're starting with small Amazon sellers. And it's just what I believe is right, the technology must take over the logistics and stop the supply chain gangs from thrashing the planet with waste. We aren't getting anywhere with the status quo.
We're a tiny team that so far only got the confirmation that it works. The focus right now is to make the first batch of customers happy, and continue to spend effort on the metaplanner.
Btw, I advise you to take a look at the metaplanner's code. It's the definition of the planning task for the planner. So that the planner can learn to solve the planner's (it's own) task. It is leveraging the HyperC core that sits in a separate repository in the same github org.
I heard the approach was circulating in the AI planning academic circles but no one had put it together as many academically-uninteresting details needed to be cared for first. That's exactly what we did.
Hm, actually that's exactly how I'd expect the first infinitely recursive self learning true AI to look like. Until it rewrites itself in Rust for better performance.
Imagine Asgardia building a Dyson swarm, owning it, and then becoming a greedy landlord (swarmlord?). When you can’t afford the rent, the yeet you into space with a trebuchet.
How about something smaller scale like food waste. We have maybe 50-ish productive farming seasons left before soil is over taxed. If you can get locally grown food to people’s tables with minimum waste for a decent price that ensures everyone is fed that would be far more impressive than failing at Dyson spheres.
Maybe we can find a way to regenerate the soil while we’re at it.
That’s a hard supply chain issue and would have a much greater impact on our survivability.
Or good luck with building a self aware AI that can solve all of our problems or whatever.
There will of course never be a Dyson Sphere, or anything even vaguely reminiscent of it.
Instead, long before anything of such a scale would be conceivable, we will have hydrogen-boron fusion for unlimited energy, and moved industrial operations out to the Kuiper Belt, where the truly valuable commodity -- cold -- is abundant.
Suns and planets are for extreme rock-banging primitives.
Super cool and insane ambition, but I don't get the part about the Dyson sphere. I don't see that as a guaranteed requirement to accomplish the goals set out, and it's going to be insanely controversial. That part seems like a solution looking for a problem, to be built mostly because it's 'cool'.
But I don't want to rain on the parade of long-term, crazy-ambition in space, so I think this is pretty awesome overall. But planning unilaterally to build a dyson sphere will definitely make you a lot of enemies on Earth.
Yes, behind the scenes it lowers the high-level logic of Python to predicate logic, uses RETE on that predicate logic to do the fastest possible JOIN operations on the tables, and uses machine learning to extract heuristics from the task and data to enable feasible monte-carlo search for valid plans.
All that means you input the rules for the "game", and it finds the way to reach the goal, no matter how complex the interactions or data are inside.
Andrew here, the founder of HyperC. Thank you very much for your feedback, and especially for your attention and time to look at the note.
Our current and today's focus is, of course, not to send the sattelites to the sun to build the Dyson sphere but rather to automate sending average commodities from China to Amazon FBA. Everything else comes after.
And you're right, the supply chain mess isn't caused by the absense of tech (although this does contribute) but rather by the "dark" forces in the logistics world that would prefer to keep things messy and hard to trace. The entire logistics thing has historically always been a shady business. But big data is coming for the dark guys.
So the immediate plan is to build the model of the "black box" of logistics by analyzing the data we can actually collect, then use the combination of technology and HyperC's reputation-leveraged optimal financing offers to beat the shady schemes out of the market. That itself could be overly ambitious, but this is what I believe is right.
First enhance on-earth supply chain efficiency. Then worry about space. Purchasing and sales departments really should be eviscerated and replaced with semi-autonomous systems in most cases. Get that done and you'll have more than enough money and cred to tackle space. My ideas @ https://raw.githubusercontent.com/globalcitizen/ifex-protoco...
> First enhance on-earth supply chain efficiency. Then worry about space.
These are not mutually exclusive. Moving heavy industry to automated facilities in orbit is not unrealistic in the coming decades. It does require massive investment in space tech.
My thoughts :) Get the mess solved here first. As a comment on your ideas - there are extremely powerful forces that would oppose any openness in logistics as it's filled with shady gangs. We need to act together to beat them off the market.
Yes, PROLOG with modern Python syntax and mostly imperative flow, commercial database experience instead of "build everything yourself", and ML-based heuristics that are learned on the fly instead of whatever hardcoded logic the particular interpreter had.
This is sometimes referred to as "Automated planning and scheduling" or simply "AI Planning" in academia.
Only by reading the plan, he reminds me of an early Elon Musk. It has the first Paypal then Space X vibe. I wonder how many other people have similar dreams, but can't deliver cause their parents aren't rich.
I want to send something to a carbonaceous chondrite asteroid that can extract the volatiles and turn the coal-like substances and stony substances into large plastic (Kapton!) and metal films. These could be used for solar collectors, solar sails, sunshades.
It pays for itself by manufacturing space sunshades to the Earth-Sun L1 point that get their own their own power.
The "something" is probably a factory that builds a factory that builds the factory, at least twice you face a situation like building a ship in a bottle except you are in the bottle. It probably imports microcontrollers by the ton from the Earth. It's an interesting question: do you send people who can interact with the system but need a place to live or do you run it all by remote control and face 60 minute or more round trip delay requiring that the thing make mistakes and recover autonomously.
L1 sunshades would cement global catastrophe, as unrestricted accumulation of CO2 would further acidify ocean shallows eliminate the base of the ocean food chain.
SonOfLilit|3 years ago
secondaryacct|3 years ago
unknown|3 years ago
[deleted]
sammalloy|3 years ago
schappim|3 years ago
Reference:
https://en.wikipedia.org/wiki/Universal_Paperclips
https://www.decisionproblem.com/paperclips/index2.html
colechristensen|3 years ago
It’s not really obvious that this is at all necessary or the bottleneck. Or that running a planned economy ruled by AI is a goal to celebrate.
grandrew|3 years ago
vorpalhex|3 years ago
grandrew|3 years ago
Btw, I advise you to take a look at the metaplanner's code. It's the definition of the planning task for the planner. So that the planner can learn to solve the planner's (it's own) task. It is leveraging the HyperC core that sits in a separate repository in the same github org.
I heard the approach was circulating in the AI planning academic circles but no one had put it together as many academically-uninteresting details needed to be cared for first. That's exactly what we did.
lostmsu|3 years ago
devoutsalsa|3 years ago
cellis|3 years ago
grandrew|3 years ago
aspenmayer|3 years ago
agentultra|3 years ago
Maybe we can find a way to regenerate the soil while we’re at it.
That’s a hard supply chain issue and would have a much greater impact on our survivability.
Or good luck with building a self aware AI that can solve all of our problems or whatever.
farmin|3 years ago
macspoofing|3 years ago
How bout smaller still… like maybe author starts with using ai to organizing their monthly budget, or whatever.
michaelbarton|3 years ago
https://m.youtube.com/watch?v=pP44EPBMb8A
By Kurzgesagt, all their videos are excellent and informed by the literature.
ncmncm|3 years ago
Instead, long before anything of such a scale would be conceivable, we will have hydrogen-boron fusion for unlimited energy, and moved industrial operations out to the Kuiper Belt, where the truly valuable commodity -- cold -- is abundant.
Suns and planets are for extreme rock-banging primitives.
cryptoz|3 years ago
But I don't want to rain on the parade of long-term, crazy-ambition in space, so I think this is pretty awesome overall. But planning unilaterally to build a dyson sphere will definitely make you a lot of enemies on Earth.
Otherwise, godspeed.
grandrew|3 years ago
Animats|3 years ago
grandrew|3 years ago
All that means you input the rules for the "game", and it finds the way to reach the goal, no matter how complex the interactions or data are inside.
grandrew|3 years ago
Our current and today's focus is, of course, not to send the sattelites to the sun to build the Dyson sphere but rather to automate sending average commodities from China to Amazon FBA. Everything else comes after.
And you're right, the supply chain mess isn't caused by the absense of tech (although this does contribute) but rather by the "dark" forces in the logistics world that would prefer to keep things messy and hard to trace. The entire logistics thing has historically always been a shady business. But big data is coming for the dark guys.
So the immediate plan is to build the model of the "black box" of logistics by analyzing the data we can actually collect, then use the combination of technology and HyperC's reputation-leveraged optimal financing offers to beat the shady schemes out of the market. That itself could be overly ambitious, but this is what I believe is right.
galacticaactual|3 years ago
Aeolun|3 years ago
ncmncm|3 years ago
contingencies|3 years ago
andrewjl|3 years ago
These are not mutually exclusive. Moving heavy industry to automated facilities in orbit is not unrealistic in the coming decades. It does require massive investment in space tech.
grandrew|3 years ago
bravogamma|3 years ago
alasdair_|3 years ago
So, PROLOG from 30 years ago then.
grandrew|3 years ago
This is sometimes referred to as "Automated planning and scheduling" or simply "AI Planning" in academia.
pontifier|3 years ago
LiquidPolymer|3 years ago
iamcurious|3 years ago
Edit: added middle sentence
ceejayoz|3 years ago
"My new database will make building a Dyson sphere easy" is a slightly... loftier claim than "we can probably land rockets and reuse them".
PaulHoule|3 years ago
It pays for itself by manufacturing space sunshades to the Earth-Sun L1 point that get their own their own power.
The "something" is probably a factory that builds a factory that builds the factory, at least twice you face a situation like building a ship in a bottle except you are in the bottle. It probably imports microcontrollers by the ton from the Earth. It's an interesting question: do you send people who can interact with the system but need a place to live or do you run it all by remote control and face 60 minute or more round trip delay requiring that the thing make mistakes and recover autonomously.
ncmncm|3 years ago
L1 sunshades would cement global catastrophe, as unrestricted accumulation of CO2 would further acidify ocean shallows eliminate the base of the ocean food chain.