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You're using the worst model when it comes to programming, not sure what point you're trying prove here. That's why when someone starts ranting how useless ai models are when it comes to coding I always assume they're just using inferior models.


My question was very simple. Suitable for a simpler model.

I can come up with prompts that make better models hallucinate (see post below).

I don't understand your objection. This is a known fact, LLMs hallucinate shit regardless of the model size.


LLMs are getting better. Are you?

Nothing matters in this business except the first couple of time derivatives.


Maybe I'm not.

However, I'm discussing this within the context of the study presented in the paper, not some future yet-to-be-achieved performance expectation.

If we step outside the context of the paper (not advised), I think any average developer is better than an LLM at energy efficiency. LLMs cheat by consuming more resources than a human. "Better" is quite relative. So, let's keep reasonable.


Exactly my experience as well. Like Sonnet can help me in 90% of the cases but there are some specific edge cases where it struggles that o1 can solve in an instant. I kinda hate it because of having to pay for both of them.


You should check out Librechat. You can connect different models to it and, instead of paying for both subscriptions, just buy credits for each API.


> just buy credits for each API

I’ve always considered doing that but do you come out ahead cost wise?


I've been using Claude 3.5 over API for about 4 months on $100 of credit. I use it fairly extensively, on mobile and my laptop, and I expected to run out of credit ages ago. However, I am careful to keep chats fairly short as it's long chats that eat up the credit.

So I'd say it depends. For my use case it's about even but the API provides better functionality.


How does the cost compare?


I use tabnine, it let's you switch models.


When I read "The Man Who Solved The Market”, I blown away with the story of Robert Mercer who arguably paved the way for Brexit and the election of Donald Trump. I wonder how different the world would be if Simmons didn't exist, the butterfly effect can sometimes have some massive unintended consequences.


It's exactly like the invention of agriculture. Not having to hunt for food gave more opportunities for intellectual pursuits because of having more free time.


I'm skeptical of this argument. It gave free time to some people i.e. the landed gentry but also created the toiling peasants and a hierarchical civilization.


Many other types of governance was enabled by the agricultural revolution, not just feudalism.


Toiling peasants had more free time than we do today.


As I understand it, this is largely inaccurate. People just read "days off" as "more time", even though peasant farmers would need to engage in a lot of labor around the farm or household even on "days off" (your cows and chickens don't care that you're on vacation).

Of course people still do some chores today even on days off, but it's a lot less than you need to do on a farm, ask basically any farmer.


The amount of toiling they could do without dying was calorically limited. Having lethargy induced by a shortage of food doesn’t necessarily mean a preferable lifestyle.


Hunter gatherers had more leisure than farming peasants. Surely, one can spot the trend.


[citation needed]


"Who's going to teach those idle medieval peasants to read, Ben? Augustine-man?!"


Pfft, disagree. Got laid off a year ago and have had nearly 100% free time since


No, it just meant you could support more people on the same amount of land. Non-mechanised agriculture is very labour-intensive compared to hunting.


I think an important skill in the future would be just having good ideas. That's going to differentiate the winners from the losers


I think it would be ideal if it could take the audio recording of humming or singing a melody together with a text prompt and spitting out a track that resembles it


1. Do your humming and pass it to something like Stable Audio with ControlNet

2. Convert/average the tone for each beat to generate something resembling a music sheet

3. Use vocaloid with LLM generated lyrics based on your prompt (or just put in your lyrics) and pass in the music file

4. Combine the 1-3

Would love to see this


There has to be a solution for the copyright roadbloacks that companies encounter when training models. I see it no different than an artist creating music which is influenced by the music the artist has been listening throughout his whole life, fundementally it's the exact same thing. You cannot create music or art in general in a vacuum


I’m curious why would it better to focus on the system side of things instead of algorithms?


Because there are real problems to work on that benefit from the sort of problem solving with algorithms that students are hoping to do.


software algorithms need to be written once to be used by anyone (digital copies and all that)

systems side doesn’t have this problematic quality


They should cannibalize themselves just Apple did with the iPhone effectively killing the iPod. If they don’t do it someone else will. Kodak was in a similar situation with digital photos as they were scared that it would kill off their film business.


I think ipod/iphone isn't the best analogy, because the iphone is sort of just an ipod with more features. What the iPhone _really_ disrupted was the Macbook and personal computers in general, not to mention other mobile phones.


Law is basically man made math. You have laws which can be seen as axioms and lawyers essentially use the existing axioms to prove to a judge a certain conclusion


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