This package has saved me so many hours of tedious gruntwork. It's like a junior developer - you still have to manually check their work, but when it's correct, it's a great productivity improvement.
And don't forget where this will go in a couple years with improved models and more computing power, it's gonna be awesome!
This exactly. It is more important to move fast. Screw the edge cases. As long as it’s correct _most_ of the time, you can always fix anything that’s broken tomorrow.
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.
Almost here. Elon said Full Self Driving would mean full self driving within a year! That means we are less than 12 months away from not needing to drove ourselves anymore.
This is pretty useless to be honest. It's good for telling whether a number is even, but in our industry we need more powerful functionality. We also need to know whether a number is odd.
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.
Yes, this is what we do as a RAG workflow. We created a list of all 32bit unsigned integers and whether they were even or odd, and we pass that into the context. The future is amazing!
Sorry for the offtopic post, but I am looking to hire someone with 10 years of experience with is-even-ai. Urgent. Your first unpaid assignment will be to help load balance a bunch of MCP servers to add and THEN check if it's even. So much to go from here! We're a single threaded GPU first identity operator company with a lot history of returning the same thing. We're now expanding to combine and add multiple things. In 6 months of SOTA fine tuning we can already add upto 3 numbers. An MCP first. With temperature 1 we even add random numbers. An industry first. And we're just getting started. Join us. We're adding to our team!
Certainly not, it's actually possible to add 3 float32 numbers with 90% precision using AI! With a recent breakthrough, the team is working on pushing that to 10, we have enough cracked engineers to hope to make it happen soon!
If I were a hiring manager and saw your comment, I wouldn't hire you. Could it have been a joke in a more obvious way? Do you think all the other comments here are serious?
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?
I think before you would deploy this to prod, you should wrap it with a few guardrails to make sure it’s not hallucinating. Pretty simple — just take the output from the llm and see if it agrees with a simple mod2 operation.
Of it agrees, return model output to the user. Otherwise do a couple of retries with different prompts.
Readit News
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.
I thought self-driving would never happen, and now it's here.
Deleted Comment
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
I remember saying that about Bitcoin 15 years ago.
is-even-ai is only 7 month old so 10 years of experience is impossible, this is clearly a joke!
Next week, “refactor” it out and brag to manager about cost savings and performance boosts, don’t mention “removing the AI”.
Me: I leveraged Deep Intelligence to build a Next-Gen Parity Classifier with 99.9% accuracy.
[1] https://en.wikipedia.org/wiki/Illegal_number
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?
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.