Pablo Núñez Palma

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Pablo Núñez Palma

Pablo Núñez Palma

@ThirdEyeXyz

Artist exploring storytelling in the digital space. Find me on Bluesky: https://t.co/zwhMGSI80g

Amsterdam Katılım Mart 2010
168 Takip Edilen143 Takipçiler
Naveen Naidu
Naveen Naidu@naveennaidu_m·
@ThirdEyeXyz @Fridaygpt Hey, not at all abandoned. Working on a few features, but I'm not able to spend much time on the app due to my work priorities. Will be doing new releases soon. Thanks for using the app!
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Fellowship
Fellowship@fellowshiptrust·
Artists @HollyHerndon and @matdryhurst have already been pushing the boundaries of human and AI collaboration with their work since 2019. This duo seems ahead of their time. really. Holly teamed up with Spawn, an AI she created with her partner, artist Matt Dryhurst. Spawn learned through unique singing sessions where groups of people sang together, teaching the AI to recognize and experiment with new sounds. Instead of using AI to replicate human creativity as we know it, Holly uses it to expand the boundaries of what’s possible, creating something entirely new. This contrasts with projects like Endel, an AI trained to generate calming background music based on factors like weather, heart rate, and time of day. Endel's music is designed to make people feel relaxed and focused, keeping the environment comfortable and soothing. Holly's approach in her album PROTO turns this idea upside down. Instead of using AI to maintain the status quo, she uses it to challenge our understanding and explore new creative territories. The video for one of her tracks reflects this, blending the faces of different singers into a single figure that seems to represent Spawn—a fusion of both human and machine input. For Holly and Matt, technology isn’t something that detracts from being human; rather, it’s an opportunity to forge new connections. As she explains, “There's a pervasive narrative of technology as dehumanizing. We stand in contrast to that. It's not like we want to run away; we’re very much running towards it, but on our terms. Choosing to work with an ensemble of humans is part of our protocol. I don't want to live in a world in which humans are automated off stage. I want an AI to be raised to appreciate and interact with that beauty.”
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Spark Email
Spark Email@SparkMailApp·
If Spark could integrate with any other app or service, what would it be and why?
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Holly Herndon
Holly Herndon@hollyherndon·
Stable Diffusion 3 is announced Stability used @spawning_ Do Not Train registry, which has over 1.5B opt-out requests, to filter their datasets before training Many more models will be released this year honoring opt-outs. I hope we are getting closer to it being standard!
Emad@EMostaque

Stable Cascade, #SD3 etc have been carefully checked on the datasets to remove all opted out images from @spawning_ & those that contacted us. We will be discussing this more in future..

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Pablo Núñez Palma
Pablo Núñez Palma@ThirdEyeXyz·
Yeah
Cristóbal Valenzuela@c_valenzuelab

With the advent of high-quality AI-generated media and the soon-to-be reality of generation on a real-time basis, I'm seeing a version of the same type of questions going around: how will we be able to distinguish real from generated? I think that's the wrong question to ask. It's worth remembering that generated videos have been around for 60+ years. And we are all okay. We actually already have a term for it: computer-generated imagery (CGI). Most movies and shows you watch are partially or entirely generated. Remember those dinosaurs in Jurassic Park? Guess what? They are not real. (yeah, sorry to break that) But sometimes, CGI is harder to find. Look for David Fincher's VFX breakdown of The Social Network, for example. The best CGI is the one you don't notice. And society has been perfectly fine about it. Under that premise, then, the real concerns do not seem to be how to distinguish what is real from what is not, but what happens when everyone has the tools that a David Fincher movie budget has. What happens when everyone can create anything they can imagine. My long-term position is that what is needed moving forward is a focus on i) digital literacy and ii) social awareness. i) Digital literacy: you need to adjust your mental models for every new technology. We keep discussing how fast technology changes, but we rarely discuss how fast culture adapts. We tend to underestimate speed of cultural changes and human adaptability. The best way of updating a prior is to have experience and exposure. One of the earliest films ever made was “The Arrival of a Train at La Ciotat Station” by the Lumière brothers in 1895. Legend has it that when the film was first screened, the audience panicked and fled the theater, convinced that the train in the film was going to burst through the screen and run them over. You can cure your fear of trains in films by understanding how movies are made. ii) Collective awareness: Social verification is key for any malicious type of content. We are already collectively good at sussing out malicious things that are trying to be passed as truth but are not. We get better at collective awareness by exercising more of i). The solution to potential challenges posed by ubiquitous access to high-quality content creation tools is not merely technological but also cultural and educational.

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Paul Sen
Paul Sen@paulsenwriter·
I’ve recorded an interview with brilliant historian of science, Professor Simon Schaffer of Cambridge University about the surprising and little-know history of artificial intelligence and what we can learn from that. Here’s the series trailer! youtu.be/l4DXxdQuo-I
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Kika Nicolela
Kika Nicolela@kikanicolela·
I am sooooo excited to introduce you OCTOPUS MIRAGE, my first post-painting made in collaboration with AI and @artmatrco amazing team of robots & humans 😍🔥 It will be exhibited this week at @untitledfairs Miami in the booth of @GalerieCharlot , VIP opening is tomorrow. Any interested collectors please get in touch in dm with me or the gallery. Normally it won’t be minted and selling will take place in fiat, but we can discuss sales in crypto. OCTOPUS MIRAGE is an expression of my ongoing fascination with the octopus as a recurring motif. This enigmatic creature has held a significant place in the myths and legends of diverse cultures, often serving as a symbol of rebirth or a connection to the spirit world. Throughout history, the octopus has also embodied the essence of female empowerment. This image is part of a long-generative AI project that I have developed with @emprops_io and refined during a few months that uses not only prompt-to-image, but also a series of initial images (drawings made with my 3 year old daughter) and several additional prompts as variables. While I can produce an infinite amount of images departing from this project - and I have generated hundreds of them - I have chosen this image in particular to create a physical piece. OCTOPUS MIRAGE serves as both a digital and tangible embodiment of human-AI synergy, testing the boundaries of creative collaboration with the machine. This work poses several questions, about authorship, art rarity, post-medium and the role of human creativity in a posthuman type of art production.
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Pablo Núñez Palma
Pablo Núñez Palma@ThirdEyeXyz·
Here's a little experiment for testing the upcoming installation I'll be showing at @BeeldenGeluid on Public Domain Day (12 January)
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manovich
manovich@manovich·
Very useful paper from DeepMind scientists on " Levels of Artificial General Intelligence": "we propose 'Levels of AGI' based on depth (performance) and breadth (generality) of capabilities, and reflect on how current systems fit into this ontology." zurl.co/VZBX
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Ganbrood
Ganbrood@ganbrood·
still havin' fun with this particular diffusion spell:
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Pablo Núñez Palma
Pablo Núñez Palma@ThirdEyeXyz·
I consider Yuval Harari a remarkable figure in today's conversation about society, humans and technology. That's why I want to share this interview where he expresses his point of view of what is happening in the Middle East. youtube.com/watch?v=9qaxYQ…
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