ata poisoning techniques to essentially disturb pixels within an image to create invisible noise, effectively making AI art generators incapable of generating realistic deepfakes based on the photos they’re fed.
Higher resolution images work even better, he said, since they include more pixels that can be minutely disturbed.
Google is creating its own AI image generator called Imagen, though few people have been able to put their system through its paces. The company is also working on a generative AI video system.
Salman said he could imagine a future where companies, even the ones who generate the AI models, could certify that uploaded images are immunized against AI models. Of course, that isn’t much good news for the millions of images already uploaded to the open source library like LAION, but it could potentially make a difference for any image uploaded in the future.
there are some AI systems that can detect deepfake videos, and there are ways to train people to detect the small inconsistencies that show a video is being faked. The question is: will there come a time when neither human nor machine can discern if a photo or video has been manipulated?
Back in September, OpenAI announced users could once again upload human faces to their system, but claimed they had built in ways to stop users from showing faces in violent or sexual contexts. It also asked users not to upload images of people without their consent
Noah asked Murati if there was a way to make sure AI programs don’t lead us to a world “where nothing is real, and everything that’s real, isn’t?”
BluEntCAD uses Vectorworks software to develop architectural drafting, construction documents and 3D model for architects, designers and residential homebuilders.
"By measuring brain activity, interviewing test persons about thoughts and reactions, and charting their artistic knowledge, it's possible to gain new and exciting insight into what makes people appreciate good works of art. The model can be used for visual art, music, theatre and literature"
this is one of those interesting angle on trends in neuroscience / quantification; push back will be on 'why do we need to measure everything' ; push towards this world will say - but if we know how people process arts experience we can improve the level of engagement..
Great scan hit!
1. Denial, and related self-delusions
2. Over-extrapolation, and related linear thinking and modelling
3. Context insensitivity
4. Cognitive limitations (especially regarding complexity)
5. Paradigm blindness, often leading to surprise
6. Subjectivity and related biases
A new study that examines the mechanical properties of threads made from hagfishes' slimy mucus finds the fibers are both strong and stretchy, and may serve as a model for creating superior new materials.
The extra space dilemma resulted in the creation of a prototype model transforming the structure into a "Third Space" environment and possibly paving the path for more locations in the chain to follow suit.
Many organizations are rich in data but poor in insight.
But what if museums could use their "data" to see not just what's happening now, but also to model what they could be doing to optimize outcomes for the future? Enter the CAMLF team.
Venture capital for helping salespeople connect with clients via social networking.
"We are offering a third space, between the sales team and a client, where they can come together," he said.
Can museums use this model to connect with potential donors/members?
MBA in Strategic Foresight is designed to develop leaders who can inspire companies, NGOs, and governments to imagine better futures. Students also learn to manage the processes of creating and implementing new business models and strategies in order to make those futures real.
Cute spot on personal space to sell cars - creative director claims "the car is technically our 'third' space." A different definition worth adding to our thoughts?