All these "we're going to run out" stories pretend that engineering cannot adapt to changing cost structures, which is just total nonsense.

Sure, there is nothing that can be directly substituted for how we use Helium today, but clearly we're using Helium inefficiently today and the answer is that once markets force us to change, we will find more efficient ways.

Maybe I spent too much time in the ML mines, but it is somewhat inconceivable to iterate on a tricky problem without a eval set.

And you are what you do for other people.

Besides providing support and entertainment for our friends and families, the concrete things we do that bring value to society are through our jobs.

Society doesn't run on hanging out or hobbies.

I have been broadly quite happy with gpt 5.4 xhigh's reasoning on things like performance engineering tasks.

It's definitely not what Kimi wanted, but it sounds like this is what is written.

Researchers built the Winnograd Schema Challenge more than a decade ago to assess common sense reasoning, and LLMs beat that challenge task around GPT 4.

I personally feel like that isn't really true any more.

I don't know how you think a b2b company could run sales without a CRM like Salesforce.

To give your question a generous interpretation, Salesforce is more valuable than Apptio or your home grown CRM because it already has all the features any sales org needs, and all the fragmented sales and marketing tooling are already integrated with it.

And Sales is a very expensive and also high ROI activity. You don't want your sales team hung up trying to figure out how to get the random CRM to do something. You're not looking to cut costs in this area, you're looking to enhance the overall productivity of the org. Sales tooling overall is very expensive for this reason, any marginal edge is worth a lot.

It's also worth noting that a big value of things like Salesforce is that it lets management check up on what people are doing, because as much as HN doesn't like to admit it, people are often not very careful or diligent, and you need to perform supervision on the vast majority of people to improve their performance.

Jira is similar, in that eng is very expensive, and its probably better than what these companies were doing beforehand, even if it is suboptimal.

I'm not saying all libraries will go to zero values, just that their value is decreasing.

Especially as the cost of producing code drops, the value of libraries decreases.

I am somewhat curious what you think shortening the copyright window would do that's so great for the culture though. We already have more than enough IP slop that's just licensed.

Not all protections have to be ones that give total control like copyright.

I think it's a mistaken assumption that costs will fall to zero. The low hanging fruit will get picked, and then we'll be doing expensive combined AI/wetlab search for new drugs.

If there is any meaningful headroom we will keep doing expensive things to make progress.

I know OSS business models are rough, but someone is going to solve this in open source and I think that is what will achieve traction.