To elaborate: That advice isn’t as objective as you think.
What one developer calls clean the other calls messy.
My advice is to use it, then document the issues when it gets messy. It takes some time, but no more than recruiting, training, paying another engineer.
I think the issue is deeper than prompts, agents.md, smart flows, etc. I think the problem is that LLMs are searchers, trained on preferring some results. So, if the dumb solution is there, and the smart solution is not there, they won't spit it out.
> This was bad enough that Node.js eventually changed unhandled rejections from a warning to a process crash, and browsers added unhandledrejection events. A feature designed to improve error handling managed to create an entirely new class of silent failures that didn’t exist with callbacks.
Since when revenue is meaningless? It’s an indication of market acceptance. Anthropic has one of the most expensive plan, they didn’t undersell other models. Open weight models would otherwise dominate if cost is the only factor.
Also, investment is not money in the bank. They can’t withdraw $100b tomorrow. That means they don’t have to repay until after they got the investment, which is a commitment over several years.
Because at some point, you have to turn a profit. That's why people are wondering the margins, if their revenue is 30B but expenses are 60B with current investment repayment factor in, that means massive revenue increases or massive lowering of expenses are required to make the business profitable. What's the business impact if they do?
> By all accounts they in striking distance of profitability if they wanted.
By their accounts they are in striking distance of profitability. Until they go public all we can do is estimate how much they burn by looking at how quickly they need more capital - this latest investment by Amazon ($5b investment with on $100b returned over 5 years) tells me that their previous raises have been spent.
What is the penalty for the government?
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