31–40 of 91 posts
That understanding will belong to some company whose interests and goals are not yours.
This will not bother most people. Most people are willing to use GMail, even though it snoops on their private emails and uses that info for advertising purposes.
The writing is on the wall. It's not right now, but it will be in my lifetime. What are some AI-proof(ish) industries we can jump into after software engineering is drastically reduced?
To be clear, I'm referring to LLM. Obviously ML is used for a lot of analytics, but I also think that most of the hype around ML has died down as companies realized that not every problem has a ML solution. In a few years the same will happen with LLM.
Is this motivated reasoning from the perspective of an OS vendor? It seems like intermediating the user's intent using AI has the same hazards as intermediating the internet through a single search provider... i.e. it'll happen, but will tend towards benefiting larger interests, leaving the experience a little less rich than before.
But we're a long, long, long, long, long way away from agents. What we have now aren't even precursors to agents, more like very distant cousins to an ancestor.
In order to make what he's talking about, you'd need true general artificial intelligence operating at a human's level or above.
And if we have that, the entire world is going to change regardless - personal assistants will be insignificant in comparison.
It's difficult to predict when a breakthrough like that would happen, but I doubt it'll be within the next 200 years.
What we have now isn't even a stepping stone in the right direction, it's just smoke and mirrors that looks like it is if you only look at it on a surface level.
> The real shift will come when agents can help patients do basic triage, get advice about how to deal with health problems Yeah could you f**ng not? I pay taxes and insurance to get proper medical guidance, not answers from a bot. Public healthcare in the uk is nearly dead anyway and their patch fixes are to use “virtual” nonsense, while private healthcare is riddled by “ai” that does nothing but annoy customers. Ba…
Use of GPT-4 to Analyze Medical Records of Patients With Extensive Investigations and Delayed Diagnosis
"Six patients 65 years or older (2 women and 4 men) were included in the analysis. The accuracy of the primary diagnoses made by GPT-4, clinicians, and Isabel DDx Companion was 4 of 6 patients (66.7%), 2 of 6 patients (33.3%), and 0 patients, respectively. If including differential diagnoses, the accuracy was 5 of 6 (83.3%) for GPT-4, 3 of 6 (50.0%) for clinicians, and 2 of 6 (33.3%) for Isabel DDx Companion"
> And even the best sites have an incomplete understanding of your work, personal life, interests, and relationships and a limited ability to use this information to do things for you. Good, that's how I would like it to be!
Every Bill Gates article reads as a ChatGPT generated fluff piece. Coincidence...?
The writing is on the wall. It's not right now, but it will be in my lifetime. What are some AI-proof(ish) industries we can jump into after software engineering is drastically reduced?
I see the introduction of AI to the SWE workforce as roughly equivalent to the introduction of digital kitchen scales, thermometers, etc. to professional kitchens. It's going to help us up our game, which is awesome! It's going to make a lot of the boring, mechanical stuff simpler so we can focus on the creative aspects of our jobs. But a burger flipping robot isn't replacing a michelin star chef anytime soon, and AI isn't replacing you anytime soon.