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gfysfm

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Screwing Up

seangoedecke.com
4 points·by gfysfm·last month·0 comments

SkiFreedle, a daily game version of SkiFree (1991)

skifreedle.com
3 points·by gfysfm·2 months ago·1 comments

What's so hard about continuous learning?

seangoedecke.com
3 points·by gfysfm·5 months ago·0 comments

We are in the "gentleman scientist" era of AI research

seangoedecke.com
3 points·by gfysfm·5 months ago·0 comments

How does AI impact skill formation?

seangoedecke.com
1 points·by gfysfm·5 months ago·0 comments

Grok is enabling mass sexual harassment on Twitter

seangoedecke.com
20 points·by gfysfm·6 months ago·1 comments

How good engineers write bad code at big companies

seangoedecke.com
407 points·by gfysfm·8 months ago·320 comments

It's not surprising that 95% of AI enterprise projects fail

seangoedecke.com
2 points·by gfysfm·8 months ago·0 comments

What it's like working for American companies as an Australian

seangoedecke.com
138 points·by gfysfm·last year·173 comments

How I ship projects at big tech companies

seangoedecke.com
1,425 points·by gfysfm·2 years ago·381 comments

comments

gfysfm
·6 months ago·discuss
This is really cool! It's interesting that you can "cheat" by knowing the historical situation in advance. But I guess there's no way around that - if the situations involved were hypothetical, it would be unsatisfying when you guessed "wrong". It'd be neat to see really obscure examples drawn from history.
gfysfm
·2 years ago·discuss
Yeah, I agree this post would have been better with a concrete example. It's hard to talk about a specific project though, since it comes down to describing in detail facts about a company's internal workings (often embarrassing facts). I couldn't figure out how to anonymize it sufficiently.