EPendragon
Invite to the Slop Party [video]
> > LLMs by nature are non-deterministic > This is false. LLMs are functions. All appearances otherwise are an artifact of how we use them.
I completely agree that LLMs are functions, and that they are essentially programs like any other program is. What I am trying to illustrate is that these functions are not pure. They are full of side effects. And thereby produce different results based on a large number of factors.
> This fact already suggests that determinism isn’t (entirely) what you want. Because even if you _could_ use LLMs as functions (I admit you can’t always do this with frontier models), that wouldn’t make you happy.
What do you mean here by "even if you could use LLMs as functions, that wouldn't make you happy"? What do you imply by using them as functions, and by making one happy?
> Here it should be obvious that getting the same output on the same input is not very important. Who cares if the arguments to the function are renamed? Who cares if the function is implemented differently but essentially does what the spec asks?
I would disagree here. Renaming arguments or implementing the function differently, doesn't negate the fact that I still want "pure" output from a function. I don't want to have a function that once in a while produces 2+2=5 instead of 4. I want it to always be the same: two arguments (2, 2) should always result in the same output (4).
> I argue the _only_ thing that matters is that the output satisfies the intended relationship with the input.
I agree with you here, but with one addition - it "always" satisfies the relationship with the input. As long as it always does that, that is deterministic behavior.
The definition of deterministic algorithm is as follows: "A deterministic algorithm is an algorithm that, given a particular input, will always produce the same output, with the underlying machine always passing through the same sequence of states." This is what I am essentially talking about and seeking in my interactions with AI systems.
Moving Towards Determinism with LLMs
A bad day to use Python [video]
When lying is the best strategy for AI [video]
The role of programming language choice on the safety and security of software
Facebook Buys Moltbook [video]
OpenClaw Deletes Inbox [video]
Anthropic Built a C Compiler [video]
How AI is breaking the SaaS business model [video]
Only 40 lines of code [video]
AI May DOOM humans After All. I may have been wrong [video]
How to become a degenerate hacker a beginner's guide [video]
Can humans make AI any better? [video]
The surprising engineering choices behind Claude Code's TUI [video]
I Have Spent 500 Hours Programming With AI. This Is what I learned [video]
Hack your Brain with Powerlifting [video]
Salesforce Admits they were Wrong [video]
Anthropic, please stop suggesting to use Claude as a linter
I Read Honey's Source Code [video]
Show HN: OpenCoupon - Open-Source Framework to Build Coupon Browser Extensions
https://github.com/EvgeniiKlepilin/open-coupon
I have never created a browser extension before, and I wanted to learn the process and what the SDLC looks like in the extension world. As I began exploring the topic, I came up with an idea of turning it into an open-source framework for creating coupon browser extensions called OpenCoupon. This framework can enable anyone to create a Google Chrome coupon browser extension similar to Honey,...