alt Hacker NewsIt all depends on the actual numbers. Consider this simplified example: If you are offered a deal that requires you to lay down 10 billion today and it has a 5% chance to pay out 150 billion tomorrow, your accountants will tell you not to take this deal because your expected return is -2.5 billion. But if you can offset 3 billion in cost to the tax payer, your expected return suddenly becomes $500 million, making it a good deal that you should take every time.
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Those 150 billion will be taxable at the same (hypothetically 30%) tax rate, reducing the expected return by 45bn * 5% chance. The expected return is still negative; all this bet does is shift tax liabilities in time, which admittedly would matter to some people who subscribe to short-termism.
Thank you, that made perfect sense and in a very simple (simplified but relevant) way. Besides the idea that such risks get aggregated over a portfolio, I can also imagine how the raw numbers flipping from - to + may be useful to paint as acceptable to accounting a bet you want to take anyway for strategic reasons.
If your accountants suggest that you take a single 5% chance deal, they probably skipped maths and statistics and you should fire them.
It's the dumb as rocks MBAs that will go head first into the 5% chance deal.
This applies to any spending Microsoft does. What does it have to do with OpenAI?
Also, classifying business expenses as "cost to the tax payer" seems less than useful, unless you are a proponent of simply taxing gross receipts. Which has its merits, but then the discussion is about taxing gross receipts versus income with at least some deductible expenses, not anything to do with OpenAI.
I get that this example is simplified, but doesn’t the maths here change drastically when the 5% changes by even a few percentage points? The error bars on Openais chance of succes are obviously huge, so why would this be attractive to accountants?