Its 3x cheaper, twice as fast, and supports cached input just in case you need to double check if the last number you entered was even. It also has a knowledge cutoff of September 30 2023, which helps for any newly discovered even numbers since gpt-3.5s launch!
Without reasoning, how can I be SURE a number is even?
Of it agrees, return model output to the user. Otherwise do a couple of retries with different prompts.
And don't forget where this will go in a couple years with improved models and more computing power, it's gonna be awesome!
[/i]
We hire junior devs, but not senior, and dont replace our senior devs. So our developer base is moving towards being junior weighted with less senior. The reason being a junior dev is cheaper, complains less, is more capable now through utilising generative AI, works harder to impress knowing they arent in a safe position, and we can let them go more easily with less process and less reasons needed to be given.
wrong? I'll gladly continue this 'wrong' approach if it continues to be as successful as it has over the last 6 months. Aswell as it being entertaining seeing the level of cope among 'senior' developers watching someone on 1/4th of their salary design systems better than they can
But its going to get increasingly difficult to justify promoting them to higher salaries if generative AI continues as it is, as the bottom line is that there will be another junior dev out there that will do the role on less.
It isnt relevant. They arent just producing code and pushing it, saying it works. It undergoes the same extensive testing for stability and security as the solution written by anyone else goes through. If it passes that, then its as likely to have issues further down the line as the solution written solely by the senior dev would have.
If they + AI are a replacement for senior devs, shouldn't they be paid accordingly?
Foreigners may consider my culture brutal and unforgiving, but at least its honest from the outset
I thought self-driving would never happen, and now it's here.
Give it another 10-20 years and your job will probably face the same fate.
driver-not-in-vehicle is an interesting approach, but calling it "self-driving" is doing the mechanical turk without the reveal. Someone less charitable might assume intentional misrepresentation for the sake of winning an internet argument.
Somehow I doubt it'll be 100%... right?
Anyway, I wouldn't be surprised if a non-finetuned model made some mistakes.
>You are an AI assistant designed to answer questions about numbers. You will only answer with only the word true or false.
>Is 393330370227914821469106615363204944758938252979261537157082994586230072180858944545028761701928694832864623009988147774229437650643225379825905427239525512110359581021414640894111281701792224552922491447051506246553646282117414112976459608594044929244664050172002138933343230226871897567 an even number?
response:
>True
The prompt was the same used as the library: https://github.com/Calvin-LL/is-even-ai/blob/b00dbfcbb89a197...
What could go wrong
Trully AI is astonishing
With a few lines of code, you can just create a list with all the numbers that are even and when you need to check if a number is odd, you simply have to check if it's in the list.
ALL_NUMBERS_00001
ALL_NUMBERS_00002
A former co-worker had to print 5 lines of text. Sometimes, some of the lines were empty but he didn't want to print an empty line.
So he did the usual, use 'if', a lot of 'if'. He handled all the possible cases of empty VS not empty lines.
Does the RAG part look up just the needed number?
I think that Gemini has a million token window (yes?) - do you have access to a model with a larger window?
Regardless, I find your ideas intriguing and wish to subscribe to your Substack.
I remember saying that about Bitcoin 15 years ago.
With a layer of smart contracts, dApp on top, this thing could be mooning. When Lambo? In days.
* I might be off by several magnitudes too low
signature is_even(x: number) -> bool
example is_even(0) -> true
example is_even(1) -> false
example is_even(222) -> true
example is_even(-99) -> false
It will take your examples and "compile" to a callable function. You can read more or try it out: https://austinhenley.com/blog/mirrorlang.html
LLM's are useless for math, they can't into rigorous proofs.
> but my olympiad benchmarks!
Those are fake. Overfitting on the test set.
…Until now.
[0] https://stackoverflow.com/questions/22969183/is-every-progra...
is-even-ai is only 7 month old so 10 years of experience is impossible, this is clearly a joke!
This is why I rolled out my own version that uses my own MCP server to call bc.
1. For an AI engineer, you can already build such a system yourself quite trivially by fine-tuning a lightweight inference model, deploying it behind a FastAPI endpoint, and orchestrating requests with a custom prompt pipeline. If you want to go further, you could even ensemble multiple LLMs for higher evenness accuracy.
2. It doesn't actually replace the modulo operator. Most people I know just use `n % 2 === 0` to check if a number is even, and they still keep that knowledge handy in case the AI service is down. This does not solve the reliability issue.
3. It does not seem very "viral" or income-generating. I know this is premature at this point, but without charging users for the library, is it reasonable to expect to make money off of this?
This will achieve their goal of replacing half the staff with AI... at least I think so, I should check with is-half-ai.
It's a remote server running assembler, C and and CGI code, it sends your OpenAI key to the Super Intelligence to make paperclips and reaps the benefit of all the productivity increase by AI for the creator.
Who of course is made from paperclips.
parpfish•4mo ago
Next week, “refactor” it out and brag to manager about cost savings and performance boosts, don’t mention “removing the AI”.
lrvick•4mo ago
freetime2•4mo ago
Me: I leveraged Deep Intelligence to build a Next-Gen Parity Classifier with 99.9% accuracy.
rthnbgrredf•4mo ago