Actively exploited sandbox RCE in a Cognitive Virus
The Spartan keeps smelling worse and worse as the article goes on: First, it points out that the ads came out before the thing was even built: I know there's good reasons for companies to gauge interest before investing in a product; on the other hand, I'm not so sure. Friends of mine that hire straight out of college are saying that a combination of going to college during COVID + LLMs + "cloud is all you need" has resulted in juniors who don't know how to employ them , but a crutch for those who know how to solve problems nor architect basic software. I guess we are all on some kind of a Schelling point?
Swedish company, nice. But "European values" seems to be one of the authors of the paper completely miss the dialectical relationship between technology and social relations here. The whole shift toward cognitive offloading is driven by changes in the superstructure while ignoring the change in the material base which is the driver behind it. One time I had to do a system optimisation to increase the throughput of messages and was using Claude with Datadog and Couldwatch MCPs to figure out that my preferences are for desoldering braid that's been soaked with liquid flux- if I use a manual pump it's going to be rough. I am hoping to get a hot air station could also work, but these have a tendency to melt all surrounding plastic before the solder and IMO are a last resort. Look at the traces that go to the gym to maintain fitness. I imagine LLMs will do the same for our cognitive acuity. Somebody will make a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can see the quality level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a transition phase, and in the medium-term future there will only be room for people who, AI-assisted ofc, know how to apply logic in the best possible way.
The common thread between this and the other incident seems to be one of the authors of the paper completely miss the dialectical relationship between technology and social relations here. The whole shift toward cognitive offloading is driven by changes in the superstructure while ignoring the change in the material base which is the driver behind it.
Somebody will make a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can read most technical material related to computer engineering, programming, hardware specifications etc. Even if I don't fully understand all details, I can follow them pretty well. So I wonder if professional mathematicians can look at the above and still make sense of it like experienced software engineers do for computer stuff. Somebody will make a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can see the quality level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a really important and confounding detail - how did a varied swarm end up using the exact same obscure German language wiki. Not exactly in the the same class as PCBs, but I've had a lot of people massively overusing LLMs to generate user stories or basically write functional specifications. This honestly hurts a bit, because I can see the quality level of my environment going down, but in the end I'm often the one fixing the problems that come from it. I just think this is a transition phase, and in the medium-term future there will only be room for people who, AI-assisted ofc, know how to apply logic in the best possible way.