So I would like to counter your cynicism with a “YMMV” depending on who you work for.
What does "support" mean in this context?
Remember, this is the propaganda arm of a VC. Proof is a hindrance to the hype that drives value.
We often hear this. Likewise to get things done faster. And to get things done cheaper.
Almost never to get things done beteer.
Like cool my lung xray only took minutes to determine if I have a lesion instead of a week or a few days, but I still have cancer.
More importantly, if you can screen for cancer in a way that takes minutes instead of a week, imagine how accessible this technology will become.
- travel and restaurant recommendations. my last few outings have been entirely LLM-advised and they turned out excellent. LLMs seem to have ingested every single Google review, photo, and menu of every business on Earth and can answer very nuanced questions like "is the garlic chicken at <restaurant, city> garnished with coriander?"
- fitness, nutrition, accounting, therapy, medical, legal, immigration advice (sure it's not a real professional but you know what, it's pretty fucking close, and any capability gap is made up by having perfect two-way communication which you don't get when talking with a human)
- coding (work, side projects, personal tools, documentation & pricing questions, "review this code", etc).
- I start reading most articles with the prompt "Summarize this article: <url>". I just started a non-fiction book by pasting into Claude: "There are 12 chapters in the book <book-name>. Can you give me a 2 sentence synopsis of each chapter?". It reduces the "activation energy" hump and screens if it's worth reading at all.
- I use the LLM in my Tesla for on-the-fly advice for parking and other things. You can simply ask "what's the best Boba place around here?" and it will give you a decent recommendation. You can also follow up with "does this place have ample parking?".
- I use the LLM in YouTube to summarize videos and ask specific questions and/or get timestamps to the parts I care about.
If your critical thinking skills are strong then LLM is a literal superpower.
2. Do LLMs reduce the loneliness epidemic?
3. Do they reduce population aging in almost all counties around the world?
4. Do they reduce political polarization?
5. Do they bolster democracies?
6. Do they decelerate climate change and general environmental destruction?
7. Do they accelerate sustainability and the circular economy (not circular financing!)?
8. Do they reduce the workweek and give people more free time for family and hobbies?
Etc, etc.
I would hold off on calling anything a "superpower" unless it solves the hard problems in life. Heck, computers and even the internet barely score better than LLMs when measured against the important things in life.
The QoL improvement from LLM is somewhere in the ballpark of going from dumb phones to smart phones for an average person (able-bodied, local to the area etc). It's nowhere near Haber-process or penicillin.
Well maybe not the LLMs, but AI and robotics have a lot of potential here.
It's still the early days though. Try again in 15 years!
Sure. Often to zero.
Keynes was hoping that our workweek would be 20h/week by now, through technological advancement. Instead places like the US are thinking about adopting 9/9/6 and some US states are legalizing child labor again.
I'm talking about the unlucky.
Where can I find this one?
I have a janky pipeline built on top of yt-dlp and I've been wondering how many more years until they make it so I don't have to do that anymore.
(Though sometimes I'll ask Gemini — the YouTube integration is the only reason I use it these days.)
That's a surprise. E.g. I've found these bots pretty poor at body language.
> "There are 12 chapters in the book <book-name>. Can you give me a 2 sentence synopsis of each chapter?"
Really? You tell the bot the chapter quantity?
https://www.reuters.com/world/us/americans-fear-ai-permanent...
But I don't think the argument needs to be "AI is like gambling". The argument only needs to be "humans often behave irrationally and even self-destructively".
Perhaps you can ask Claude to explain it to you.
A lot of humans are incredibly bad at allocating money.
AI probably did not take your job yet. How many AI queries did you use last month, and how much time has it saved compared to digging through the web?