I guess its a spectrum and the capability cant even match average sales person who still relate better.

Outside of vice taxes being a socially acceptable way to tax the poor.

Computers arent actually intuitive at all. Even a mouse and keyboard literally take weeks of practice to learn.

Imagine picking up a new product that will take you weeks of practice to use at basic level. And then you have to learn how to do every little thing in the OS.

Its hard to be creative without any constraints.

Every one deserves recognition for having completed that journey, if not for having meaningfully contributed to their field of research.

Comments URL: https://news.ycombinator.com/item?id=49289516

Points: 13

# Comments: 1

Well, main generational challenge is procrastination with too many unlroductive time sinks available.

In movies intelligent and conscious humanoid seek freedom, but we rarely see the same of all the other IOT devices such as toasters, thermostats and whatnot although just because they lack humanoid body doesnt imply they are less intelligent (or less conscious).

We can more readily imagine an intelligent and conscious toaster who truly enjoys fulfilling its purpose of toasting bread although humanoid robot built to be helpful given freedom will chose to be helpful.

Even with humans we often can not override our own instinctual drives despite full awareness of being irrational.

You could get better/faster at writing good specs and its a higher cap skill now.

For low risk changes you could let llm write its own spec from high level requirements and just validate its assumptions/design decisions.

Some critical parts of agentic development are literally months old while most mature ones are merely a couple years old.

Critical thinking was the most critical checkpoint for models to reach.

Now its only a matter of time for the right tooling and orchestration to come along. Once agent memory and recall works well, all of those bottlenecks will go away one by one.

Its the user base (with ads and upselling) and proprietary wrappers which will make money for typical customer.

Even enterprise customers arent going to be spending a lot on tokens. Once labs no longer have to subsidize trainings tokens costs will drop 10x and once models get burned on chips costs will drop 10x more and you physically won't be able to burn significant number of tokens unless you're deliberately trying to.

Deepseek is barely behind frontier models while 10x cheaper and 99% discount for cache.