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As AI capabilities continue to improve, some people have questioned whether it's possible to reliably identify AI text at all. But researchers like Jenna Russell are finding more ways that human and AI texts differ. " We took about 10,000 human written short stories from published anthologies of stories,...

12,258 просмотров • 4 месяцев назад •via X (Twitter)

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For generative AI to become an interesting art tool, we need much more control over the output. The slot-machine-like nature of pure text-to-image leaves too much to chance. Using the "Real-time Latent Consistency Model" that I'm using in the example here, is the first time I truly got a glimpse of a future where we'll be able to use our artistic skills and sensibility, to get control over AI image gen. Systems like these will never be able to match the quality or originality of a skilled artist, it won't surprise us in the same way an artist can. Things are a mess in terms of the training data these models are based on, and the questions about copyright concerns and about a time when everything will look the same are very valid. At some point capabilities like these will be embedded in photoshop, and anyone will be able to generate a pretty picture. But to create interesting designs, to tell original stories and to surprise us, we need creatives and artists with something on their mind. We'll be able to create immersive worlds, by making brush-strokes and sculpt marks, without needing to worry about all the dials, plugins, wires of our 3d and 2d tools today. I love to sculpt, I love to draw, and I love to explore new mediums and new ways to create. The Gen AI tools we have today are far from perfect, and things need to be steered in a better direction. For that we need artists to help point the way. Gen AI isn't going away.. it's too powerful and has the potential to allow us to tell stories like never before. Like all other big technological shifts, tech like this will come at a cost, but it will also open up new opportunities and empower a new generation of storytellers. I might be naive, but I believe that human ingenuity and creativity will persevere in this new world ♥️ #art #ai

Martin Nebelong

1,660,694 просмотров • 2 лет назад

Palo Alto Networks CEO Nikesh Arora says roughly 50% of the company’s new hires over the last six months have been early-career. Three talent profiles PAN is prioritizing in the AI era: 1 – People who can actually use coding agents “One set of people we want are people who are AI-savvy, who know how to use AI to get their jobs done better, who know how to use coding agents.” “These are people who are learning, and they’re typically having to run through hackathons to get to Palo Alto. We don’t look at where you went to school. We care about whether you can use coding agents, whether you can use AI.” “If we keep following that trend, it’s reasonably likely that we will overwhelm the non-AI-savvy people with more AI-savvy people. That’s kind of ground zero. You’ve got to get that done.” 2 - Cybersecurity experts who know AI “The second part is there are people who are really good at cybersecurity and know AI and they’d like to get involved.” “If you want to work in cybersecurity, there’s no better place to work than Palo Alto Networks. We’re the largest cybersecurity company in the world. You want to have an impact? You want lots of proprietary training data? We’ve got it.” 3 – Pure AI researchers “The third part is raw, pure AI researchers who can do wonders with small language models and large language models.” “There we have people who are AI literate. We have some PhDs in AI who work here who have a cybersecurity bent, but they can go back to their roots in AI.”

TBPN

45,321 просмотров • 1 месяц назад