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Seems to underrepresent pale skin tone variety

How does this compare to eg. daytona/e2b?

I do wish we have a better way of doing this - the workaround given in the article just shows how fallible this is.

Great idea and execution but the design language seems like general llm-generated tailwind. I think you guys are missing a huge opportunity to make the design reinforce the product…

considering token efficiency as well I presume?

this article according to pangram was AI generated, ironic

At least for me I don't really read these posts/docs, I just give the link to claude and it'll implement it regardless of wording

At least for me I don't really read these posts/docs, I just give the link to claude and it'll implement it regardless of wording

I worked a lot with designing and implementing agentic grading at my job, there's a ~0 chance that on a rubric with 180 items, changing 1 char out of 6000 words would result in a f…

but honestly it's still a bad look for the company that: 1. did not communicate that X timeline in advance 2. did not pre-order when they offered the offer letter or when OP signed…

why not just ask the CTO and company directly if that's the case?

I mean it's obvious that note is trolling

btw Pangram says 100% of the original article was written by AI

btw Pangram says 100% of the original article was written by AI

fwiw Pangram says 100% of the original article was written by AI

fwiw Pangram says 100% of the original article was written by AI

fwiw Pangram says 100% of the original article was written by AI

fwiw Pangram says 100% of the original article was written by AI

fwiw Pangram says 100% of the original article was written by AI

fwiw Pangram says 100% of the original article was written by AI

fwiw Pangram says 100% of the original article was written by AI

lol Pangram says 100% of this was written by AI

not much talent is going from US to Canada, it's almost always the reverse if you look at top canadian universities

why not a multimodal embedding model?