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keithwhor

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Ask HN: Should engineers who use less inference be paid more?

2 points·by keithwhor·6 tháng trước·2 comments

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keithwhor
·5 tháng trước·discuss
The economics of production cost, investment and distribution have created a lopsided industry where only guaranteed hits get funded. Less soul = pandering to more people.

With new tools we can reduce the production costs of great movies considerably. More budget, if it exists, can go to marketing and distribution. I expect this will lead to more experimental films and a lot more "soul." There will be a TON of slop, too, but that's fine! It's all part of experimentation with a new medium.
keithwhor
·5 tháng trước·discuss
My guess is that intelligence gets commodified to the point where LLMs and diffusion models are sold on chips and we seamlessly integrate them into the HW + SW stack. Then they’re just another abstraction; we talk to our computers to get things built. At essentially zero cost, truly too cheap to meter.

In parallel there’s an explosion of creative output; Marvel movies turn around in 1 year instead of 4, solely blocked on availability of actors. Some actors license their likeness to unblock their calendar from reshoots so they can earn more. We don’t replace them wholesale because people idolize celebrity.

And demand for movies? Skyrockets. With new mediums to pursue. Classics like Goodfellas resurrected in high-fidelity 3D on the Vision Pro. A combination of diffusion models and Gaussian splatting means every movie can be upscaled to immersive 3d.

Video games enter a second renaissance, with indie developers having the advantage. For large studios, nostalgia is the moneymaker. The remake of Final Fantasy VII across three games that costs $100Ms and decades? Final Fantasy VIII gets rebuilt from scratch with a team of 30. But the rest of the money and team that would’ve been on that project now expand to other, more ambitious projects.

This is just the tip of the iceberg. Mars? Why stop at Mars? Let’s start megaprojects to explore the galaxy. Mine asteroids for resources. What’s stopping us? Humans yearn for the unknown. When we exhaust resources or a modality of existence, we dream bigger, not smaller.

I personally see consumer and entertainment spending, and people employed lucratively in these sectors, growing dramatically. Maybe SaaS and a lot of businesses that have traditionally employed white collar employees fade. And a bunch of boring “financistas” don’t know how to make a buck betting in the casino anymore because boring old businesses and things nobody really wanted to do anyway aren’t lucrative anymore.

But, personally, the whole reason I got into software was to build cool stuff. Starting with video games! The type and scale of cool stuff I can build is only getting better, at an insanely fast rate. My bet is we thrive.
keithwhor
·5 tháng trước·discuss
A friend and I are working on something like this. It’s more Slack-adjacent; the problem we’re tackling is, “what does a future where agents seamlessly integrate with day to day communication look like?” We’re a little more focused on the developer platform.

We’re embarrassingly early and haven’t “launched” yet but I guess there’s some value in sharing with an audience who might be interested!

We call it “Superuser” [0], the social hub for agent tools. There’s more of a focus on the developer platform, but warning: major WIP! We are shipping huge changes and our docs are out of date...

[0] https://superuser.app
keithwhor
·10 tháng trước·discuss
One that goes boom.
keithwhor
·năm ngoái·discuss
I think it's likely we learn to develop healthier relationships with these technologies. The timeframe? I'm not sure. May take generations. May happen quicker than we think.

It's clear to me that language models are a net accelerant. But if they make the average person more "loquacious" (first word that came to mind, but also lol) then the signal for raw intellect will change over time.

Nobody wants to be in a relationship with a language model. But language models may be able to help people who aren't otherwise equipped to handle major life changes and setbacks! So it's a tool - if you know how to use it.

Let's use a real-life example: relationship advice. Over time I would imagine that "ChatGPT-guided relationships" will fall into two categories: "copy-and-pasters", who are just adding a layer of complexity to communication that was subpar to begin with ("I just copied what ChatGPT said"), and "accelerators" who use ChatGPT to analyze their own and their partners motivations to find better solutions to common problems.

It still requires a brain and empathy to make the correct decisions about the latter. The former will always end in heartbreak. I have faith that people will figure this out.