101–110 of 213 posts
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Couple of things to add: McKinsey has a weird structure where there are too many cooks in the kitchen. Everybody there is reviewed on client impact, meaning it ends up being an everybody-for-themselves situation. So as a developer you have little guidance (in fact, you're still being reviewed on client impact, even if you have 0 client exposure). Then a (Senior) Partner comes in with this idea (that will get them a g…
> McKinsey is trying to do software like they do their other engagements. It doesn't work. I mean, it doesn't work for their consulting gigs either. There's a reason McKinsey has such a bad reputation.
If your data is in this database, it's gone. Other people have it. Your sensitive data that you handed over to their teams has vanished in a puff of smoke. You should probably ask if your data was part of the leak.
Fail to see how a state actor would not have come across this already.
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I am not sure what accounting or management consulting firms are doing in tech. They look to package up something and sell it as long as they can. AI solutions won't have enough of a shelf life, and the thought around AI is evolving too quickly. Very happy to be wrong and learn from any information folks have otherwise.
The purpose of hiring them is to make them come to the conclusion you already have, so when it goes well you get the credit for doing it, or if it goes sideways you can pin the blame on them.
Many, many, many companies are very happy with the consulting firms they hire.
Of course, those are the consulting firms that aren't publicly traded and in the news all the time (for all the wrong reasons).
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The LLM that wrote this simply couldn’t help itself.
Picked up a vibe, but couldn’t confirm it until the last paragraph, but yeah clearly drafted with at least major AI help.
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Can we stop softening the blow? This isn't "drafted with at least major AI help", it's just straight up AI slop writing. Let's call a spade a spade. I have yet to meet anyone claiming they "write with AI help but thoughts are my own" that had anything interesting to say. I don't particularly agree with a lot of Simon Willison's posts but his proofreading prompt should pretty much be the line on what constitutes accep…
Your reaction is worse than the article. There's no way you could know for sure what their writing process was, but that doesn't stop you from making overconfident claims.
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No, they don't have world class technology teams, they hire contractors to do all the tech stuff, their expertise is in management, yes that's world class.
Is it though? Managing teams to not torpedo your company with stupid stuff like this is kinda core to “good management.” The evidence would indicate they’re not very good at that either.
Like everything it’s just marketing.
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Those short "punchy sentence" paragraphs are my new trigger: > No credentials. No insider knowledge. And no human-in-the-loop. Just a domain name and a dream. It just sounds so stupid.
Founder of CodeWall here. It's quite funny because whilst an LLM did write the bulk of the posts factual content (based on the agents findings), I wrote the intro and summary at the end. That's just my writing style. Feel free to read my personal blog to compare: https://darkport.co.uk
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They generally hire smart people who are good at a combination of: - understanding existing systems - what the paint points are - making suggestions on how to improve those systems given the paint points - that includes a mix of tech changes, process updates and/or new systems etc Now, when it comes to implementing this, in my experience it usually ends up being the already in place dev teams. Source: worked at a lar…
My take*: McKinsey hiring largely selects for staying calm under pressure and presenting a confident demeanor to clients. Verbal fluency with decision-making frameworks goes a long way. Having strong analytical skills seemed essential; hopefully the bar for "sufficiently analytical" has raised along with general data science skills in industry. I don't view them as top-tier experts in their own right, whether it be s…
and
> they have a knack for corporate maneuvering
One way to view this is that the above combination of skills is both rare and very useful. That means it's expensive. So instead of hiring someone like that at "full rate" and keeping them around, you can "borrow" them from McK to solve a problem your regular crew can't (or isn't able to) for various reasons.
Plus, as one manager of mine said many years ago:
"We use consultants b/c they are both easy to hire AND easy to fire"