Hacker News

Hmm.. My first thought is that great, now not only will e.g., HR/screening/hiring hand-off the reading/discerning tasks to an ML model, they'll now outsource the things that require any sort of emotional understanding (compassion, stress, anxiety, social awkwardness, etc) to a model too.

One part of me has a tendency to think "good, take some subjectivity away from a human with poor social skills", but another part of me is repulsed by the concept because we see how otherwise capable humans will defer to "expertise" of an LLM due to a notion of perceived "expertise" in the machine, or laziness (see recent kerfuffles in the legal field over hallucinated citations, etc.)

Objective classification in CV is one thing, but subjective identification (psychology, pseudoscientific forensic sociology, etc) via a multi-modal model triggers a sort of danger warning in me as initial reaction.

Neat work, though, from a technical standpoint.

Appreciate the feedback truly. It's an interesting concept to explore, deferring human "expertise" to technology has been happening throughout the years (most definitely accelerated in recent times), for which we have found ways to adapt / abstract over the work being deferred, but the growing pains are probably the most acute when such deferment happens rapidly, as in the case of AI.

Don't want this to turn into a Matt Damon in Elysium type of situation for sure with that scene with the parole officer hahah (which would stem from a poor integration of such subjective signals into existing workflows, more so than the availability of those signals)

For emotional intelligence, I personally see this as a prerequisite for any voice / language model that's interacting with humans, just like how an autonomous car has to be able to identify a pothole, so does a voice / video agent navigating a pothole in a conversation.