1,568 karma · joined September 11, 2024
In any case I will take an invite if one has one because the community is solid.
What you are saying is again irrelevant. It is not about justification. Is about net margins…
For better or worse millions of Americans voted for the guy doing the deportations.
I also find it difficult to reconcile not using AI for weapons. If war is inevitable AI presumably would at least ensure you are on target.
Good models need a lot of data. Can you really be accurate with what, 30 data points, in which the team composition is basically reset each time?
What you are mentioning with salaries is not relevant.
If you have a lemonade stand you might sell a cup for $1, but overall after paying yourself and for the cups, lemons, etc you might only get 3 cents each cup.
For costco revenue equals sales and membership.
It is. We are talking about LLMs here.
Duolingo is such a company you would expect AI to help a lot. Surely AI could allow it to cut costs substantially. And yet, in the past year its stock is down 70% and in Q1 2026 profit has not seemed to increase compared to Q4 2025. In fact, other than Q3 of last year which had some tax shenanigans, their profit is relatively flat. Not a great look given that AI is highly disruptive to their product.
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AI is actually insidious. Suppose you're in a competitive industry like Costco making 3% (net profit) margin. Suppose the average costco employee makes 60K. Then you come in and think it would be great to have an AI agent lets every employee ask questions of inventory to help customers. Surely if employees could use AI that could somehow make more money for Costco. Hypothetically let's say this ends up costing about the same as the basic subscription in terms of tokens. $20/employee/month Can't be that bad right?
$240 ÷ 0.03 = $8,000 (in other words, generate over 10% of their own salary in marginal additional net profit every year). Is Costco really going to generate 8K more per employee? Nope. And yet, firms like Costco who choose AI effectively just lower their own profit margins.
The race factor is irrelevant in practice. Even more so when you look at literature indicating that your success is actually more predictive from high school success than college attendance.
In other words, if you get into Stanford you will likely succeed even if you don’t go.
If you happen to be the one dying for no reason would you consider that just a trivial unfortunate edge case?
Educate yourself:
https://deathpenaltyinfo.org/policy-issues/policy/innocence
Every day I am happy many here are techies and not politicians.
Stupid people always say nonsense like this as if no person in prison is innocent.
Edit: interestingly gpt5.6 needed a slightly longer video and got it too
This ghost font thing is a pretty solid trick
Maybe AI will take over after all, just not due to the reasons we think.
Now imagine this proof is wrong. How would you know? Ok, think about the process in which you determine the correctness - why not do that initially?
And there it is. The problem laid bare. Ironically it reduces to the P and NP one.