You forget that most of the pleasure in nice experiences is from the fact that they are scarce.

Blockbuster had the opportunity to buy Netflix and perhaps later pursue the streaming model, but they never did. Sears had its own catalog that made perfect sense to transition to an online store format, yet they never did. Sometimes, big companies fail because they become stuck in their ways. Meanwhile, a new company eager to find its place can uproot them by embracing the new.

Yeah

hold on to your papers

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That was really cool. You do have to wonder how long it will be before AI can simply create a movie with a variety of intricate prompts. What a time to be alive.

I'm wondering what is going on with the heavyweights here. I haven't seen news yet of industry leaders adopting this tech for anything unlike Microsoft did with Bing.

People are guessing it is just a matter of time but I'm not seeing the potential of the diffusion models truly capitalized.

Yes this could disrupt animation forever, will it though? Until big companies adopt the tech for their workflow all this talk is just a pipe dream.

Hopefully that changes soon.

You need to get GitHub Copilot up and running, it's OP.

If I'm being honest the idea of farmers having to outsmart an AI doesn't upset me. Don't get me wrong, corporate interests using regulatory capture to block their customers from repairing equipment is an evil that needs to be defeated. I'm not supporting that.

But I do support the larger societal implications of AI and accelerating technology becoming prevalent in every facet of every person's life. That would make having a mindset of actively seeking to learn and embracing progress a required skill for basic everyday life. Yes, I know that is anathema to some and I think it's going to go really badly for them. I'm fine with that so yeah, optimist on all thing tech related.

The anime industry pretty much declined after the fallout of the 2008 stock market crash and never recovered since. It was never the same.

That was entertaining but... dafuq?

It seems way more likely to me that we get aligned AGI or unaligned AGI than whatever that is lol

Ok wanna make a bet with me ? within 5 years we will have a.i that will take more then 50% job opportunity from your profession.

It’s the best thing you can do to get it as close as possible on the first pass, yeah.

But software is iterative and a collaborative process; generally any change to software goes through multiple approval steps; first from your team, then gets sent out to testers who may or may not be external, often those testers are chosen specifically for their lived experience and expertise serving a specific audience, who may themselves be quite diverse. Eg accessibility testing to serve people living with disabilities. Content testing is also common when you need to serve, say, migrant communities that don’t speak English at home.

Those reviews come back and you have to make iterative changes. That process is dramatically more expensive if you get it badly wrong on the first pass; you might even have to get it reviewed multiple times.

Basically, having a diverse team that embeds that experience + expertise within your team lowers costs and speeds up development because you then need to make less changes.

On expertise vs experience: you can always train someone to be sensitive to the experience of others but it’s a long process that takes decades. I am one of these “experts” and I would never claim to have anything like the intimate knowledge of the people I am tasked with supporting as someone who actually lives it; there’s no replacement for that kind of experience by default.

Ultimately you will never get any of this perfect so you do what you can to get it right without wasting a lot of money; and I guarantee you non diverse teams are wasting a tonne of money in testing. I see it a lot. When I was working as a consultant it was comically bad at MOST places I went because they had male dominated teams where they all stubbornly thought they knew it all … zero self awareness or ability to reflect honestly in teams like that was unfortunately stereotypically bad

I'm 25 and a programmer also. You should be happy AI is becoming competent in programming. If you learn to use those AIs as a tool, it will be easier to bring your ideas to fruition. It can increase your efficiency.

Intel & co haven't exactly been delivering the goods recently, so not high confidence.

If you design them well it could be a comfy place to them.

Not quite. The tech industry has been historically very very conservative. It’s a very recent development that this stuff has been discussed more (it wasn’t until probably the late 2000s or early 2010’s with the explosion of social media that the tech industry became less conservative)

Assembling a diverse team isn’t rocket science, the mistake a lot of tech teams still make tend to be comically bad like an all white team or an all male team; those are still very common.

Obviously those teams will have huge blind spots in lived experience. Even a single person added to that team from a very different background covers off a huge gap there, and each extra person added is a multiplier of that effect to some degree.

You’re dead right to point out that diversity is as much about less obvious factors like class or culture though. And that’s definitely harder.

I think it’s a huge leap to say that the tech industry has some left wing bias though, I don’t think you can neatly conclude that from one chart, and it doesn’t match up with my 20 years eco working in tech, including on AI

>Here is an updated 3 years later.

IGF-1 ^

One weird trick!

Is that really all we can do?

Harv in the comments everyone:

>Glad my company is intelligent enough to know that despite the "AI" connotation given to it by itself and repeated by the media, it's not exactly intelligent. It's really just taking information already on the internet and presenting it to the user in a new way. Instead of presenting you with a list of website links, it's just telling you the content of those websites. And it's not like there is no garbage information on the internet right?

Unsupervised learning has led to the discovery of novel algorithms and architectures that can outperform human-designed systems. The potential for future breakthroughs, like the invention of a completely new substrate or material base for robots (think about slime and nano robots for start), should not be underestimated.

Things will speed up dramatically when AI takes over the task of invention. Even LLMs based on the GPT architecture has the potential to be optimized to become capable co-inventors. In just five years, we could be using trutos to sorder brightors!

No, but if you have 5 identical people with the same biases, obviously those biases and assumptions will show up very strongly. Add even one person and the areas where blind spots exist no longer overlap perfectly. Add one more .. it decreases even more, and so on.

But there’s never a way to eradicate it in full. All you can do is minimise it by bringing broad experience.

Where would you get one trillion tokens for touch and actuator state (proprioception) from?

As another commenter said, you also forgot reward/goal/feelings.

Not all cells in the body are affected so it’s likely that the cells that got the gene died and were replaced by cells without the gene.