1,204 karma · joined January 19, 2023
You can expand in parallel. If Starship works you can launch 100 spacecraft instead of 1, or in other words, you can expand your system by a factor of 100 "in parallel" and hence increase whatever you get from that small payload margin by a factor of 100.
Besides that there are other approaches like laser array + photon sail which more directly benefit from mass to LEO.
Now high-altidude effects would increase the greenhouse effect of these emissions by some factor I don't know. At the same time a large amount of fuel is actually burned by the booster at below airliner altitudes. Another mitigating effect is that some of this methane could be produced renewably.
I haven't heard about Ozone depletion from spaceflight except for the case of reentering Aluminum burning up. Well this wouldn't be an issue with Starship flights.
So you know overall, let's just give it a lot of conservative margin and imagine we are looking at about 10% of the US airline or 0.2% of total US greenhouse impact. That is on the scale of a whole new industry, yes, but if you can imagine a world which has attained a sustainable rquilibirum surely you can also imagine one which has a bit of margin left? And this is only for the US!
What do you gain? Three of the points I mentioned have potential direct benefit for people.on earth: asteroid mining, L1 solar shield and brilliant pebbles.
Asteroid mining "for profit" also means that the economy profits, unless you believe that capitalism doesn't work. I read that less than 200t platinum are produced annually. Say your asteroid mining crashes that economy. I found some figure of 20kt of CO2 for each ton, so 4mt in total. That is more than your 1000 launches emit! Now my calculations are of course wrong but it seems plausible that the orders of magnitude could match. So you should definetly consider that your asteroid mining operations might stop other mining operations from happening which reduces your greenhouse impact.
Then you have the solar shield. It is certainly possible, although of course difficult and has some risk. But it's good to have a backup plan, no?
This kind of adaptation to your specific setting instead of just spitting out memorized answers in commonn settings is what makes o1 useful for me. Now again, it is often wrong, but if I am completely clueless I like to watch it attempt things and I can get inspiration from that. That's much more useful than seeing a confident wrong answer like 4o would give it.
Yea but the truth is a huge of audience of people who are not super familiar with the syntax of a languague will read tutorials describing how to build stuff in that language hoping they can piece things together. So for them it would be helpful.
Also, isn't all of programming just playing with types in a way? I feel like Intro to types never stops lol.
I mean everyone knows using descriptive variable names is good practice, but then in a coding tutorial it is somehow fine to use foo, bar, a, b, c? That makes things clearer for someone who understands all the types and the syntax, and wants to see the structure algorithm more clearly. It hurts someone trying to learn the language.
Sure it's plausible just like many other forms of baseless speculation are, I still don't think to state it as a matter of fact like it is happening in this and other articles and in comments.
> I don’t know. I assumed it is the case because of the vast and excellent interpolation AI appears to do in other domains.
Yes but do you know of any examples with sequential data, and in particular transformers? I don't and I think it is a somewhat different thing. With pictures you just train an encoder into some low dimensional latent space and there you can interpolate, but working with sequences you don't want to give the whole sequence as an input to the model and generate the whole sequence as an output.
The natural way to do interpolation with an audio transformer model, which it can in principle indeed do, would be to somehow audio-prompt engineer it to speak in a voice that interpolates SJ and your voice actor. But that would be a pretty fragile method.
They just about manage to make a good multimodal transformer that can generate audio and you expect that right away they can also interpolate in latent space? How does that actually work? It's not so simple. What benefit do they have from training on Scarlett Johansson's data, because they sure as hell have a big risk. They clearly hired a voice actress and they clearly told her to sound like Scarlett Johansson in "Her", and the end result perfectly fits with that. The voice doesn't "uncannily sound like SJ", no it just vaguely resembles her voice and mostly just mimicks the mannerisms from the movie. For me this is a perfect example of Occam's razor. One explanation is simple and realistic. The other explanation requires significantly more advanced AI control than OpenAI has claim/demonstrated, and it requires Altman to be so obsessed with the SJ idea that he goes out of his way to secretly train on her voice, risking legal exposure, while still hiring a voice actress.
There is absolutely zero evidence for this. I find it infuriating that this keeps being stated as a fact. So they go and hire a voice actor and clearly use her voice to train, but then they also scrape Scarlett Johansson from youtube and splice it into the training data to make the voice a bit more like hers? Really does that sound realistic?