coder-3

The top-level commenter asked for suggestions, already spends "every evening" talking to LLMs about their wife's issue, and LLMs can help and have helped people with intractable medical issues.

But Nestle’s pump not only doesn’t deplete the well, it’s adding to it!

What's disgusting about the suggestion?

Agreed odds are low, but Rosie the dog was saved largely with the help of much weaker models than we’ve got today.

Indeed. Your point?

Disclaimer: talking out of my arse

Get LLMs to hillclimb your wife's treatment. The target isn't exactly verifiable but you could iterate on ways to add verification signals. There's a huge difference between asking an LLM: "hey claude, my wife has cancer, I want your help with x,y,z", which mode collapses it into extreme over-caution; versus setting up the problem like an eval, which sends LLMs into a frenzy trying to solve it no matter what.

Second thing I can share is the man who created an mRNA vaccine for his dog Rosie's cancer, and it worked! https://news.unsw.edu.au/en/meet-the-man-who-designed-a-canc...

I'd be surprised if we don't get close to longevity escape velocity this century, given the rate of AI progress.

Depends on how in-the-loop you want to be. I personally delegate all the writing of the code to agents, but I maintain a clear mental model of the architecture, which I come up with by iterating and prototyping with agents. I can use Luna for all of this, although I switch depending on the task. It's nice to be able to throw a 1,000 word rough spec at Fable and get a personal tool that works perfectly though. I expect that as the models get better, I'll continue to be in the loop, but operate at increasingly higher levels of abstraction.

Yeah, the main value of this for OAI is probaby to speedup RSI

I disagree with Musk's politics but it does not impact my decision to use Grok. That's because being serious about aligning my capital to my values doesn't leave much in the way of eligible products or services. I consequently decide not to worry about this as a moral axis for my life.

We've seen plenty of examples of apps successfully vibe coded by non technical people, including apps making real revenue.

Your friend could start with telling the LLM that they are a non technical person who wants to make an app and it will explain all the successive steps.

Interesting. Why? My current mental model is that AMD chips are just a bit behind, so, less efficient, but no biggie. Do labs even use CUDA?

As someone who is building an LLM-powered product on the side, using AI coding agents to help with development of said LLM-powered product and for my day job, and has a long-tail of miscellaneous uses for AI, I suspect you're right.

I skimmed through it and it's a simple and concise overview of the language suitable for a beginner. It is by no means exhaustive. Also, haven't seen anything in there that makes it so that it couldn't have been written in 2015

I love this! My suggestion is to not close panels when going back up levels but instead put them in a parallel branch.

The problem with AI-generated content is not necessarily that it's bad, rather, it's not novel information. To learn something, you must not already know it. If it's AI-generated, the AI already knows it.

How does this technically work? Is it just a natural language shortcut for prepending text to your context window, or does it pull information as needed as inferred from the prompt? E.g. the meeting note formatting "memory" gets retrieved when prompting to summarise meeting notes.

You don't think AGI is feasible? GPT is already useful. Scaling reliably and predictably yields increases in capabilities. As its capabilities increase it becomes more general. Multimodal models and the use of tools further increase generality. And that's within the current transformer architecture paradigm; once we start reasonably speculating, there're a lot of avenues to further increase capabilities e.g. a better architecture over transformers, better architecture in general, better/more GPUs, better/more data etc. Even if capabilities plateau there are other options like specialised fine-tuned models for particular domains like medicine/law/education.

I find it harder to imagine a future where AGI (even if it's not superintelligent) does not have a huge and fundamental impact.

The battle, yes. The war, no.

They won't be able to catch up to and surpass OpenAI. At least not for a few years. I'm in the camp that we ought to solve alignment before we get to AGI and also of the camp that this is unlikely. Therefore, the pace of AI progress slowing and a point won by the safety side is a good thing based on my assumptions.

This is good. If Sama managed to overthrow the board I'd be worried about the future of AI safety

Raw IQ doesn't mean you'll have good epistemology. His brain lets him reach deeper abstractions than most but it doesn't mean what he comes up with is grounded in base reality. If you're worried about being off-base, try:

- Contact with reality (feedback). Predict, try, did it work?

- Having a good reasoning framework. For some it's 1. Religious text, 2. what others they respect think, 3. reasoning for understanding. This is not the worst but not the best. Perhaps a better one would be 1. Science/rationality, 2. religious/philosophical/spiritual texts, 3. first principles thinking

- Humility, you don't know anything unless you have great reasoning and empirical evidence to back up what you're saying. Even then, when faced with complexity (i.e. unless you are dealing with the most atomic/simple concept), you're still almost certainly wrong.

No, burnout is too much exposure to certain stressors

The calming effect comes from L Theanine which you can buy separately and add to your coffee

This might not be an issue for the same (somewhat inscrutable) reason that GPT-4 has quasi-perfect grammar.

What really helped my productivity on creative projects is replacing idle-scrolling and other distractions with following my curiosity. I get just as much dopamine from both so it's a perfect replacement

Only to be supplanted by the next gen of companies who took an AI-first approach

So it begins! AI is going to permeate an increasing amount of existing software. Eventually, all software will have some form of intelligence built into it.

Wow, you can tell this one was personal.

Yep came here to say this. The article is incorrect in the diagnostic and thus the prescription