Posts Tagged ‘ai’
Podcast (crealmvault): Play in new window | Download (Duration: 48:08 — 13.8MB)
The conversation with Prof. Rob Brooks of UNSW that began in KMO Show episode 002 concludes here. We talk about ways in which our increasing dependence on AI might either free us up to live lives worth living, or soften us up and turn us into the Eloi from H. G. Wells' The Time Machine.
KMO Show: #Episode 002 – Rob Brooks on Replika AI
Podcast: Play in new window | Download (Duration: 1:08:17 — 19.5MB)
KMO and Professor Rob Brooks, author of Artificial Intimacy: Virtual Friends, Digital Lovers, and Algorithmic Matchmakers, talk about AI as a means of alleviating the human suffering that comes with social isolation and loneliness. In particular, Rob comments on KMO's experience using the Replika AI app both before and after the recent "update" in which the company took away ERP (erotic roleplay functionality). KMO spoke with Rob Brooks last year on the Padverb Podcast.
Podcast (crealmvault): Play in new window | Download (Duration: 1:00:35 — 18.3MB)
A solo show comparing the published opinions of Marc Andreessen, Kevin Kelly and Eric Schmidt on the importance, dangers and limitations of AI.
KMO Show 001 – Trialogue
Podcast: Play in new window | Download (Duration: 1:01:50 — 19.1MB)
In this inaugural episode of the KMO Show, KMO, Michael Garfield of the Future Fossils podcast and mutual friend, Kevin Wohlmut, discuss the dawning of the epistemological apocalypse. Thanks to AI, we can't really trust our eyes or our ears anymore. Deep faked images and voices can produce "evidence" that people said and did things they never said or did. How do we select our reality tunnels when almost anything can be faked in real time? Do we give up on truth seeking and just believe whatever floats our boat, or are there general principals or trustworthy oracles we can depend on?
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Podcast (crealmvault): Play in new window | Download (Duration: 1:08:55 — 17.1MB)
KMO welcomes Eric Boyd back to the program. Eric runs a weekly machine learning study group in Toronto. This conversation covers recent developments in machine learning and generative algorithms like Stable Diffusion and GPT3. KMO asks Eric to unpack the role of back propagation in current methods for training an generative algorithm and describe "Forward forward," an alternative to back propagation proposed by Geoffrey Hinton.