That's just the most basic interface, with GUIs being written on top of that rapid IDEs built onto GUIs.
In my experience, everything involving AI is half-baked, not just its output but its creation too. It's all a bunch of proof-of-concept research papers tied together into a house of cards that only works if multiple layers of virtual environments are all precisely the same version it was developed on, there's far more memory free than the models and their output occupy, and the lunar tide is within range.
A few more layers of GUI and IDE would probably make the whole thing collapse.
I searched for good programming or more broad IT-related podcasts but unfortunately haven't found ones that aren't either straight up ad or thinly veiled ad. I understand that invited guests or podcast producers want to have compensation but end result is of putting and not attractive to me. I'll place software engineering radio as an example - I listened to some episodes but it gave me impression of slop even before word slop was established.
On the other hand I know excellent quality podcasts founded by voluntary Patreon members so I hope issue is I simply haven't found IT ones from that spectrum yet.
I was also looking for IT-related podcasts and had the same impression. What seems to work is when people write interesting books and then go on shows to promote their books by talking about the content.
If it can engage in criminal activity, then it can skip the golf training.
Every time the LLM CEO gets caught doing a crime and goes to 'jail', the LLMs on the exec board can vote to replace it with another instance of the same LLM model.
Forget 'limited liability', this is 'no liability'.
Let's assume that people are discussing medical conditions in these conversations - I think that insurance companies would be pretty interested to get this kind of data in their hands.
The question isn’t if there is some interesting info in that data but if there are some actual buyers. Lots of interesting data exist, so what’s the value of AI chats?
Very well written, I'm wondering when current "cli haxxxor assistant" FAD will fade away and focus will move into proper, well thought out and adjusted to changed paradigm IDEs instead of wasting resources. Well, maybe not completely wasting as this is probably still part of discovery process.
Our technology stack starts with Atlas, our mover.
Atlas transports Prometheus, our pumping pod, and Vulcan, our drilling pod, around the site.
Once Vulcan drills the wells, we deploy an Ark and enough Prometheus pods to complete the lift.
Atlas roams the site all day - moving pods, recharging, and mapping terrain in real time.
The Ark connects to each Prometheus pod via a slurry transport line.
Flood-prone terrain is then elevated by injecting a wood-based slurry 15–300 feet underground.
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