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More from Marcus on AI

”Everyone is cheating their way through college” with GenAI. Who should bear the costs?

Society is once again left holding the bag

yesterday 1 votes
All your data belong to us

Surveillance shit is about to get real

2 days ago 1 votes
Technology Review jumps the shark

The ultimate in nonsensical AI puff pieces, featuring the ubiquitous Bryan Johnson

3 days ago 1 votes
Why DO large language models hallucinate?

The Henrietta Chronicles continue, guest starring Harry Shearer

4 days ago 1 votes
The latest AI scaling graph - and why it hardly makes sense

Just a because a graph is intriguing doesn’t mean that it means very much

6 days ago 1 votes

More in AI

AI #115: The Evil Applications Division

It can be bleak out there, but the candor is very helpful, and you occasionally get a win.

17 hours ago 1 votes
”Everyone is cheating their way through college” with GenAI. Who should bear the costs?

Society is once again left holding the bag

yesterday 1 votes
OpenAI's $3B Bet

Unpacking OpenAI's latest acquisition of Windsurf.

yesterday 1 votes
How projects fail at large tech companies

How do projects fail at large tech companies? As I’ve said many times, failure means executives aren’t happy with how the project turned out. At healthy companies, that typically means that a sensible engineer wouldn’t be happy either, because the project didn’t work or users hated it. But what actually causes the projects to fail? I’ve seen a lot of projects go wrong - both up close and at a distance - in the last ten years. Here are the main reasons why. Doomed from the start Lots of projects fail because there’s no way they could possibly have succeeded. In American law, some cases get dismissed at “summary judgment”: even if the plaintiff succeeds in proving everything they aim to prove, it still wouldn’t add up to demonstrating enough illegal activity to win their case. At tech companies, some projects are like that: even if the plan goes off without a hitch, the project is still doomed to fail. Some doomed projects begin with over-ambitious plans. For instance, an executive…

yesterday 1 votes
Help me improve Society's Backend!

Two simple questions to help make Society's Backend better

2 days ago 1 votes