Experience mainly with Swift, ObjC, and Java; usual smattering of experience in other languages (IDL, REALbasic [back when it was still called that], Python, PHP, JavaScript, etc.)
Human language knowledge:
- English: native
- German: certified CEFR level B1 (examination board: telc), which means I can do normal daily things without having to reach for a translator, but surprises still confound me. I understand more than I can speak, my grammar is still terrible.
- Esperanto/Greek/Dutch/Spanish: self-taught and probably A1 or less, so while I can type ενα τσι και ενα σανδυιχ παρακαλορ without reaching for Google Translate, if I use GT to check my work I find I spelled "tea" and "please" wrong, and when I asked for that in Athens the person behind the counter just corrected me in English.
- Futhark (just the script, not ancient Icelandic)᛬ ᛚᛖᚨᚱᚾᛖᛞ᛬ᚦᛖ᛬ᚨᛚᛈᚺᚨᛒᛖᛏ᛬ᚨᛊ᛬ᚨ᛬ᚲᛁᛞ᛬ᚲᚨᚾ᛬ᚢᚾᛞᛖᚱᛊᛏᚨᚾᛞ᛬ᚦᛖᛗ᛬ᚹᚺᛖᚾ᛬ᚦᛖᚹᛁ᛬ᚨᛈᛈᛖᚨᚱ᛬ᛁᚾ᛬ᚦᛖ᛬ᚺᛟᛒᛒᛁᛏ᛬ᛟᚱ᛬ᛚᛟᚱᛞ᛬ᛟᚠ᛬ᚦᛖ᛬ᚱᛁᛜᛊ᛬ᛒᚢᛏ᛬ᛞᛟᚾᛏ᛬ᚨᛊᚲ᛬ᛗᛖ᛬ᚨᚾᚹᛁᚦᛁᛜ᛬ᚨᛒᛟᚢᛏ᛬ᚦᛖ᛬ᛟᛚᛞ᛬ᚾᛟᚱᛊᛖ᛬ᛚᚨᛜᚢᚨᚷᛖ
Currently:
- In 2024 I stopped working though Brilliant.org courses, not because I've done all of them, but because I've Peter-Principled myself on it: I've done harder and harder courses until I exceeded my competence, which was a lot of stuff, but not the most advanced calculus or group theory stuff: https://benwheatley.github.io/blog/2024/03/11-12.00.16.html
I tried looking at it more recently to see if it was worth re-subscribing, but it seems like the new material is all focussed on k-11 pupils rather than adult learners pushing themselves further, so I suspect I won't go back.
- Still trying to finish editing a SciFi novel: got stuck at 90%, the final 10% is in a rewrite loop where I'm never happy with what I produce
- Looking for work; my main experience is as a senior iPhone app developer, but I am open to be a noob again in some other aspect of software development. Or even non-software, given what LLMs can do these days.
- LLM coding is each of U+1F631 and U+1F92F and yet also sometimes U+1F4A9, I do have experience of code review and can deal with the latter regardless of whether it comes from humans or machines.
--
https://kitsunesoftware.com has all the links to my other stuff
Right now we're still not close to that kind of capacity.
I suspect just painting all the rooftops and tarmac white will be about as effective as 2000 Starship launches filled with mylar sheets, plus an L1 delivery system because one thing you really don't want for a global warming mitigation is for them to fall out of LEO and burn up almost immediately from the huge drag-to-inertia ratio.
> When GPT-4 came out, Yudkowsky said it might be conscious. I think he has written interesting stuff but let's be real
I don't expect GPT-4 to be conscious, it would be quite remarkable if we've stumbled upon whatever evolution did that made us conscious.
But how would you even tell, given we don't know the mechanism or physical process that un-thinking and un-planning natural selection happened to stumble upon to give it to us?
One thing I find weird is that despite the stock photo of the Terminator's shiny endoskeleton holding a gun being used to illustrate so many AI news stories, now we have ChatGPT people keep saying "how can AI possibly hurt us?"
We've even had the dichotomy of some Doctor Who episodes where the self-driving car crashes itself to kill the occupant to silence them, against repeated real-life news stories about self-driving cars killing people, and yet the connection isn't getting made that software controls hardware.
Yes, repeatedly, since well before this particular AI summer.
One previous attempt at AI was "expert systems", and while the term fell out of use it's functionally about the same as basically all modern business systems, and doing that wrong led to a lot of people being prosecuted for crimes they didn't commit: https://en.wikipedia.org/wiki/British_Post_Office_scandal
Even without that lawsuit, there have been various concerns that "the algorithm" (of Twitter/X, FB, Instagram, YouTube, Google, everyone) has propagandising biases that damage society. I don't know how to sift fact from politicking with that.
As someone who considers themselves in the "safetyism contingent", the only thing I find myself agreeing with about the rollout of LLMs has been the argument that it has to be shown to and used by the public while under development.
Every specific prediction not only sounds like science fiction before it arrives, it tautologically is science fiction because such predictions are narratives about something science-y that has yet to exist: https://www.youtube.com/shorts/wt-fLWxkrfs
Go too fast, suddenly drop in tech with too many novel implications all at the same time, and we likely hit something relevant without having the means to cope with all the change. However, "too many" and "likely" are weasel words with no predictive power about what the danger threshold might be. I may be entirely wrong to think there is one, or we may have been bouncing off it since the industrial revolution, or I may just be echoing the same thing everyone feels once reaching their 40s: https://www.youtube.com/watch?v=fkUwXenBokU
> Though if there are no websites anymore or ones not many visit how would AI stay relevant?
That's what the robots are for.
I am not expecting the humanoid robots to meet the hype for a long long time*, but even boring industrial robots (CNC machines), even boring commercial robots (vending machines), even boring household robots (lawn roombas) have made incremental changes even though we don't yet have an AI good enough to be general purpose over them all.
* for power-envelope reasons alone there should be a ten year gap between "self driving car of quality X" and "humanoid robot which can get into normal car and drive it at quality X".
Out of interest, where are you on this scale? I don't think I've ever been better than a 6 from those star pictures, despite how I'd otherwise categorise where I live as suburban/rural transition: https://en.wikipedia.org/wiki/Bortle_scale#/media/File:How_l...
Even very optimistic estimates (by people who aren't Elon Musk) say it will take a decade to get the costs low enough to be worthwhile for LEO; higher orbits are much more expensive.
Yes; their video pertains to two specific proposals for the data centres, unfortunately I am finding that *all* the various proposals fail to make sense but for different reasons.
> I have had cousins from the village send me a picture of a mermaid claiming she was caught in one of the rivers.
For what it's worth, this also happens with printed books.
I wasted the latter half of my teens taking New Age occultism and magical powers as a profound topic rather than a literature and culture topic, thanks to a combination of a bookstore chain near where I grew up and a mother who also took this all very seriously.
For this use, "gossamer thin" is unlikely. You want to control where you point the mirror, it needs a structure that not only doesn't flop around when you torque your spacecraft, but also doesn't have surprise vibrational modes that squeeze and expand the illumination zone.
(Things I'm learning while researching what is now looking like an eight thousand or more word blog post about why a different space thing, data centres, is also not a good investment; my guess is this would be less of a problem if you used mirrors like this to cool the earth by reflecting sunlight away instead of towards).
Mars… needs something rather bigger. I don't know what the most cost-effective solution would be, but Mars gets about half the per-area sunlight as Earth so it would need a reflector about the size of Mars to get the same overall insolation.
My guess is it's probably easier to make a bunch of greenhouses on the surface? But the scale is so huge that which is best will be affected by technology invented after you start.
At the orbits they're talking about, at best 30 minutes before dawn and after sunset. Earth gets in the way, have to go much much higher to get 24 hour coverage, and if you can focus that well over that distance you've got the optics for a super-weapon.
And as this is optical, won't go through clouds. This is why beamed power discussions often talk about converting to microwaves instead, though that comes with an even bigger spot size on the ground.
> The only non-marginal application for this is military, surely.
I think so, but even then it's a heck of a lot of work to make it useful for that.
> Farming? Don't plants need night too? Does harvesting need the sun anymore?
Mostly limited by other things, hence why there's only limited farming in the Sahara, relatively little phytoplankton in the North Atlantic Gyre.
> But being able to illuminate a war zone with spontaneous sunlight you can switch off at will, that is a weapon, not least because if you are the only one with the power, your opponents will have to act knowing they may not have the cover of night.
Even then, nah. Militaries have had night vision for ages. We can make a wall-penetrating radar work as heartbeat/breathing sensor out of kit fairly close to (but not close enough to be a software patch from) a WiFi base station.
And a satellite isn't going to provide "hours" of extra light unless it's a very much higher orbit than current proposals. At 600 km altitude, you're talking 20-30 minutes even with an unbounded number of satellites (and 10-15 minutes when you've only got a few satellites). Same reason as sunset itself happens: Earth just gets in the way.
(Why, of all the things, would someone use a fire as their example for this? Fire is famously a light source. Also, famously, smoke is a thing that blocks out light from above).
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Experience mainly with Swift, ObjC, and Java; usual smattering of experience in other languages (IDL, REALbasic [back when it was still called that], Python, PHP, JavaScript, etc.)
Human language knowledge:
- English: native
- German: certified CEFR level B1 (examination board: telc), which means I can do normal daily things without having to reach for a translator, but surprises still confound me. I understand more than I can speak, my grammar is still terrible.
- Esperanto/Greek/Dutch/Spanish: self-taught and probably A1 or less, so while I can type ενα τσι και ενα σανδυιχ παρακαλορ without reaching for Google Translate, if I use GT to check my work I find I spelled "tea" and "please" wrong, and when I asked for that in Athens the person behind the counter just corrected me in English.
- Futhark (just the script, not ancient Icelandic)᛬ ᛚᛖᚨᚱᚾᛖᛞ᛬ᚦᛖ᛬ᚨᛚᛈᚺᚨᛒᛖᛏ᛬ᚨᛊ᛬ᚨ᛬ᚲᛁᛞ᛬ᚲᚨᚾ᛬ᚢᚾᛞᛖᚱᛊᛏᚨᚾᛞ᛬ᚦᛖᛗ᛬ᚹᚺᛖᚾ᛬ᚦᛖᚹᛁ᛬ᚨᛈᛈᛖᚨᚱ᛬ᛁᚾ᛬ᚦᛖ᛬ᚺᛟᛒᛒᛁᛏ᛬ᛟᚱ᛬ᛚᛟᚱᛞ᛬ᛟᚠ᛬ᚦᛖ᛬ᚱᛁᛜᛊ᛬ᛒᚢᛏ᛬ᛞᛟᚾᛏ᛬ᚨᛊᚲ᛬ᛗᛖ᛬ᚨᚾᚹᛁᚦᛁᛜ᛬ᚨᛒᛟᚢᛏ᛬ᚦᛖ᛬ᛟᛚᛞ᛬ᚾᛟᚱᛊᛖ᛬ᛚᚨᛜᚢᚨᚷᛖ
Currently:
- In 2024 I stopped working though Brilliant.org courses, not because I've done all of them, but because I've Peter-Principled myself on it: I've done harder and harder courses until I exceeded my competence, which was a lot of stuff, but not the most advanced calculus or group theory stuff: https://benwheatley.github.io/blog/2024/03/11-12.00.16.html
I tried looking at it more recently to see if it was worth re-subscribing, but it seems like the new material is all focussed on k-11 pupils rather than adult learners pushing themselves further, so I suspect I won't go back.
- Still trying to finish editing a SciFi novel: got stuck at 90%, the final 10% is in a rewrite loop where I'm never happy with what I produce
- Looking for work; my main experience is as a senior iPhone app developer, but I am open to be a noob again in some other aspect of software development. Or even non-software, given what LLMs can do these days.
- LLM coding is each of U+1F631 and U+1F92F and yet also sometimes U+1F4A9, I do have experience of code review and can deal with the latter regardless of whether it comes from humans or machines.
--
https://kitsunesoftware.com has all the links to my other stuff