If I was building this in a system design interview I would use whisper, NLP, and “classic ML” classifiers with deterministic results. I would not want an LLM in the loop at all. Facebook and Google have been able to target you better than you could even perceive for years.
LLMs are slow, expensive and inconsistent. More importantly It’s not the right tool for the job.
Really feels like more “oohhh look at how important and scary LLMs are”.
*edit* PS, my company does marketing, communication and trade surveillance for FINRA registered broker dealer firms. If the CCO or anyone else with admin access wanted to monitor for someone talking badly about them they absolutely could update their list. No LLMs in the loop, very scalable, affordable, auditable and reliable. LLMs are just an interface not a solution for analysis.
Genuine question, how could Claude have been used for the military action in Venezuela and how could ChatGPT be used for autonomous weapons? Are they arguing about staffers being able to use an LLM to write an email or translate from Arabic to English?
There are far more boring, faster, commodified “AI” systems that I can see as being helpful in autonomous weapons or military operations like image recognition and transcription. Is OpenAI going to resell whisper for a billion dollars?
I feel the same way often but I find it to be very similar to coding. Whether coding or prompting when I’m doing rote, boring work I find it tedious. When I am solving a hard problem or designing something interesting I am engaged.
My app is fairly mature with well established patterns, etc. When I’m adding “just CRUD” as part of a feature it’s very tedious to prompt agents, reviewing code, rinse & repeat. Were I actually writing the code by hand I would probably be less productive and just as bored/unsatisfied.
I spent a decent amount of time today designing a very robust bulk upload API (compliance fintech, lots of considerations to be had) for customers who can’t do a batch job. When it was finished I was very pleased with the result and had performance tests and everything.
I agree with you in spirit but most people in the US look at college like job training. It’s literally advertised as job training on TV, buses and billboards. Teachers, parents, and media have long been seen as “the way” to get a job.
One of the most disappointing things about college was how little people cared about the liberal arts aspect, where humanities courses were an annoying box to tick.
Doesn’t this imply that a transformer or NN could fill in details more efficiently than traditional techniques?
I’m really curious why this would be preferable for a AAA studio game outside of potential cost savings. Also imagine it’d come at the cost of deterministic output / consistency in visuals.
In another project without my rules I’ve noticed I have to tell it to set up data for playwright tests instead of skipping if none exists.