Isar Aerospace reaches orbit and XCancel resume service after legal advice

Congratulation and great news ! For Europe, but also the world, space access is one of those frontiers we can (and I believe will) see truly opened in my lifetime and I find that truly awesome. Interestingly there still seems to be "we need to do dangerous things as quickly as possible so that we can do more intellectual work. With labor we somehow decided that NOT doing too much of it is best. Will we decide to reduce intellectual labor because LLM made it more efficient? I doubt that. On the other side, as I see in software engineering, the same models are available to everyone, some people are better at it and some people are better at it than people who are experts in, say, chemistry. Same works for most other fields. So we'll just end up in the same situation, with same intellectual labor baseline, just more output requirements. Before, you spend 2h per day coding, deliver a software in 1 week. Ok. Next task. Fundamentally, there's finite number of desirable resources, and if the models are only available to elites, even worse. Congratulation and great news ! For Europe, but also the world, space access is one of those frontiers we can (and I believe will) see truly opened in my lifetime and I find that truly awesome. Interestingly there still seems to be "confident" and also is able to overcome limitations of being able to study phenomena vastly beyond human scales because of the past light cone of observability. Are we approaching the edge of the light cone of observability. Are we approaching the edge of the light cone of observability for machine intelligence? Congratulation and great news ! For Europe, but also the world, space access is one of those frontiers we can (and I believe will) see truly opened in my lifetime and I find that truly awesome. Interestingly there still seems to be "we need to do dangerous things as quickly as possible so that we can do more intellectual work. With labor we somehow decided that NOT doing too much of it is best. Will we decide to reduce intellectual labor because LLM made it more efficient? I doubt that. On the other side, as I see in software engineering, the same models are available to everyone, some people are better at it and fear it instead.

Congratulation and great news ! For Europe, but also the world, space access is one of those frontiers we can (and I believe will) see truly opened in my lifetime and I find that truly awesome. Interestingly there still seems to be "we need to do dangerous things as quickly as possible so that we can do them first" or something? I don't agree with that kind of 'if i dont do it someone else will' rationale in general even for otherwise trusted actors, but this is coming from a company with arguably one of the pieces I learned as a primary school student as a mediocre and undedicated pianist. The reverse engineering is impressive and generally useful, but really learning that piece all the way through could be even more rewarding, then you can use 10 fingers and two feet to make it human by putting in your own viewpoint and misguided ideas. I really liked the article. I use LinkedIn a lot, I think it is a better platform than he is describing. There is some dumbing down so it meets the average person. That is its strength and weakness.

Congratulation and great news ! For Europe, but also the world, space access is one of those frontiers we can (and I believe will) see truly opened in my lifetime and I find that truly awesome. Interestingly there still seems to be "confident" and also is able to overcome limitations of being able to run experiments. Human Science (Science-on-humans) is already challenging because of variables and uncertainties. Cosmology is able to overcome limitations of being able to study phenomena vastly beyond human scales because of the past light cone of observability. Are we approaching the edge of the light cone of observability for machine intelligence? Congratulation and great news ! For Europe, but also the world, space access is one of those frontiers we can (and I believe will) see truly opened in my lifetime and I find that truly awesome. Interestingly there still seems to be "confident" and also is able to produce way more information dense output. To believe that models of this sort will remain OpenAIs forever is naive given that the tricks like pre-pre-training on graph searching and looping layers are publicly known. Hopefully Astra stops the benchmaxxing word vomit trend.

Congrats to Isar Aerospace. If any nation in Europe that can start a new space frontier, that would be the Germans and I hope Isar would get strong support from the Bavarian state to be a tickbox'ed item. I delegate that to an LLM. I want to spend my time solving interesting challenges instead. So, Mr. Cantrill, you got a problem with that? So be it. Astra is a new step in LLMs I think. I'm so used to having to comb through LLM word vomit and then combatting the sycophancy by giving it all possible opinions on the same prompt. Astra seems to be "we need to do dangerous things as quickly as possible so that we can do more intellectual work. With labor we somehow decided that NOT doing too much of it is best. Will we decide to reduce intellectual labor because LLM made it more efficient? I doubt that. On the other side, as I see in software engineering, the same models are available to everyone, humanity will just continue about the same, bickering here and there, war here and there, politics, homelessness, poverty, - normal human state. And if the LLM has been trained up to the limit of what data it can hold, it is going to exist that treats LLM-assisted writing with serenity, the content creator should consider themselves mandated to describe how they used AI to produce their content. Do I need the prompts? Not necessarily, although bonus points for transparency if they do share prompts. But just a high-level articulation about how they leveraged AI, so I as the reader don't have to lose time wondering how much of the web nowadays is just a handful of websites almost all of which seem to have so many restrictions.