AI kommt für die Laptop -Klasse | Fernarbeit ist gestiegen. Ist es kurz vor dem automatisierten Weg?
https://www.vox.com/future-perfect/403708/artificial-intelligence-robots-jobs-employment-remote-workers
AI kommt für die Laptop -Klasse | Fernarbeit ist gestiegen. Ist es kurz vor dem automatisierten Weg?
https://www.vox.com/future-perfect/403708/artificial-intelligence-robots-jobs-employment-remote-workers
5 Kommentare
„The newest “[reasoning models](https://www.vox.com/future-perfect/400531/ai-reasoning-models-openai-deepseek)” from top AI companies are already essentially human-level, if not superhuman, at [many programming tasks](https://benjamintodd.substack.com/p/teaching-ai-to-reason-this-years), which in turn has already led new tech startups to [hire fewer workers](https://www.nytimes.com/2025/02/20/technology/ai-silicon-valley-start-ups.html#:~:text=With%20A.I.,a%20start%2Dup%20using%20A.I.). Generative AIs like Dall-E, Sora, or Midjourney are actively competing with human visual artists; they’ve already [noticeably reduced demand for freelance graphic design](https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4602944).
The rapid pace of progress in the field means that laptop warriors can’t even take comfort in the fact that current versions of these programs and models may be janky and buggy. They will only get better from here, while we humans will stay mostly the same.
As AIs have improved at laptop job tasks, progress on more physical work has been slower.“
lol at the clickbait title. The answer (as it always is with this type of sensationalized headline) is no, no it isn’t.
No lol.
First of all AI is stupid as shit.
If you try even minor problems that aren’t surface level or ask specific details about a show or programming language it will quickly fail if the information isn’t available and just guess.
Beyond that it doesn’t operate autonomously.
Even with github copilot there always needs to be a person asking for things and then issuing the next steps.
It will save a lot of time.
And do repeatable annoying tasks that no one likes to do anyways and where enough info is there to know it won’t fail.
Actually thinking and doing new stuff will always be left to humans.
By definition of „learning on data“ the AI will never achieve anything that doesn’t lie in the „bubble“ it creates with its training data.
Stupid Fearmongering.
If you want a career tip, move into the security response industry. These models are going to get used by all sorts of people to „develop“ all sorts of software. The security problems are going to be constant and pervasive. Customers will be compromised left, right, and center. There will be lots of remediation and investigation work available as well as threat backtracking and analysis.
These AI software generation tools are good enough to produce working code in some cases, but my company has analyzed few solutions and we are extremely concerned about what we found related to security. It’s good for us though. We gained a lot of marketing insights and avenues for product development.
Lmao, I wouldn’t mind this tbh, but after having tried to fix many problems or even to get a usable accurate network diagram out of AI is like pulling teeth