if im a below average web developer of 15 years and wanted to transition to entry level ML/AI engineer of any sort, how much time would you guess it would take to become a competitive candidate if i worked at it full time? i'm intelligent but just completely failed in my life to apply myself more to web dev, which is why i sucked at it.
i've been unemployed for two years and it's hard to find anything i can do with my background that isn't "software engineer". entry level stuff for adjacent things like project or product management simply aren't available. exploring options like data science seems to show that area is also extremely competitive and the job market is terrible.
i really do not want to grind leetcode for the sake of plumbing CRUD app together better, but i could see myself learning a new domain and following through with that because the end result would be worth it/interesting
Kudos to the author, a very very nice overview of things!
I was just at a big conference where there was now a lot of AI talk and papers etc and, as that hasn't been my area, I've been catching up. Have been hearing so much about GNN and ensembles and things that I haven't had to think about before. So now I'm going through this and looking up new-to-me terms. Sweet.
Now it's just to work out how to save it as an epub to browse on the beach.
It's obviously machine-generated from the linked source materials, and while I'm grateful for the bibliography, I wish I didn't have to click through a million pages to get from the blogspam to the actual content.
The whole article seems to hinge on the idea that cursor is unsustainable and a large driver of revenue for AI companies. It seems to think that if cursor dies, so does the revenue.
I don't see that- cursor will die by losing market share, not by the death of the market. Agentic coding as a market will continue to grow and if Claude remains competitive then Anthropic will do just fine.
I was curious what the AI would include if promoted to create a similar list. I prefer the human version.
Ref: https://chatgpt.com/s/t_689a00f83f7c8191b70d07912a092f86
if im a below average web developer of 15 years and wanted to transition to entry level ML/AI engineer of any sort, how much time would you guess it would take to become a competitive candidate if i worked at it full time? i'm intelligent but just completely failed in my life to apply myself more to web dev, which is why i sucked at it.
i've been unemployed for two years and it's hard to find anything i can do with my background that isn't "software engineer". entry level stuff for adjacent things like project or product management simply aren't available. exploring options like data science seems to show that area is also extremely competitive and the job market is terrible.
i really do not want to grind leetcode for the sake of plumbing CRUD app together better, but i could see myself learning a new domain and following through with that because the end result would be worth it/interesting
Kudos to the author, a very very nice overview of things!
I was just at a big conference where there was now a lot of AI talk and papers etc and, as that hasn't been my area, I've been catching up. Have been hearing so much about GNN and ensembles and things that I haven't had to think about before. So now I'm going through this and looking up new-to-me terms. Sweet.
Now it's just to work out how to save it as an epub to browse on the beach.
It's obviously machine-generated from the linked source materials, and while I'm grateful for the bibliography, I wish I didn't have to click through a million pages to get from the blogspam to the actual content.
https://www.wheresyoured.at/ai-is-a-money-trap/
The whole article seems to hinge on the idea that cursor is unsustainable and a large driver of revenue for AI companies. It seems to think that if cursor dies, so does the revenue.
I don't see that- cursor will die by losing market share, not by the death of the market. Agentic coding as a market will continue to grow and if Claude remains competitive then Anthropic will do just fine.
The author doesn't understand how much money is in the it industry and free market.
It doesn't matter if companies next to Google, Ms, meta make it.
Google does ai sustainable enough alone.
Surprised to see something on hackernews that isn't an AI picked selection of articles :-)
/s