🔮Generative AI
Creative AI enables individuals to be more creative and experiment using vast datasets and models that teach creativity to machines.
Last updated
Creative AI enables individuals to be more creative and experiment using vast datasets and models that teach creativity to machines.
Last updated
Generative AI is a marvel of technology that can create things seemingly out of thin air. It's like a magical genie in a bottle, except instead of granting wishes, it can generate whole new worlds, languages, and even art.
Using complex algorithms and machine learning, generative AI can learn patterns and structures and then create new ones that resemble what it has learned.
It's like a never-ending source of creativity, always churning out new ideas and possibilities. It may seem like something straight out of science fiction, but generative AI is here, and it's changing the world as we know it.
I use generative AI pipelines to teach core values of privacy or increase people’s privacy awareness with storytelling.
There are magical things going on in ML space, as we are entering a new era of human-machine co-creation. Generative AI disrupted writing through GPT-3 and now music, images, and video.
But how come machines are able to create these?
The idea is that Human artwork is repeating itself with what already exists. It is difficult to create artwork without repeating certain templates, and patterns. Even without noticing them as an artist.
So we can say that most art has always been algorithmic.
Mainstream art consists of inspiration from other works or follows existing templates.
In music, we have chord progressions and scale and in storytelling, we have the hero’s journey, etc. Even in gaming, most FPS we play is built around a single, simple game mechanic. “Rock, paper, and scissors.”
Those patterns allow computers to create art based on the trained models that can fool humans, around 55% percent as of now in an artsy Turing Test. And the technology and tools at our disposal are getting better every day.
So this is what the current generative AI landscape and current projects look like.
I am currently involved with Stable Diffusion text-to-image algorithms.
I am experimenting with how we as privacy enthusiasts, academia, and professionals can leverage these technologies to spread privacy like never before.
The diffusion process in a nutshell is to add gaussian noise at the start. Then try to predict using neural networks the noise added in each step. Finally, denoise the image to generate a new one. Deep learning and generative adversarial networks are used in these models.
These technologies even sparked a battle between AI sympathizers and conservative artists.
As some AI artwork won competitions which pissed off the human participants. and AI-powered artwork is pushing some artists away in favor of automation.
This reminds me of my battle with the Istanbul bar's cyber law commission chair, who said in a public statement that I was desecrating the legal practice by generating privacy policies automatically. And that I am a disgrace to lawyers as I was helping early-stage startups who couldn't afford lawyers with technology and taking their jobs away from lawyers.
So yeah, geography is your destiny I suppose.
OpenAI is a leading research organization in the field of artificial intelligence, with a focus on developing advanced AI technologies and ensuring they are beneficial for humanity.
In terms of recent work at OpenAI, the organization has made significant strides in a variety of areas, including natural language processing, reinforcement learning, computer vision, and robotics.
Some of their notable achievements include the development of GPT-4, a language model that can generate human-like text, and the creation of DALL-E, an AI system that can generate images from textual descriptions.
Additionally, OpenAI has been actively researching ways to make AI systems more transparent, interpretable, and aligned with human values yet they have not yet released any work around it to the public.
