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greenmoonx

Re:llama.cpp on Wednesday August 12, 2026 @02:06PM (#49276411)
> If you think Ollama is better, use it!

It's not that simple. An army of dweebs from HN will harass you if they find out you're using Ollama. It's getting to the point you can't use it at work.

They all link the same article. I never care about it.

Forking software was one of the original ideas with GitHub - it's called Ollama. Anyone curious enough to deep dive can find out about the name, and how Ollama came to be.

Re:WorldClaw Agentic 3D open-world generation at scale on Wednesday August 12, 2026 @11:30AM (#49273978)
Precisely the point - that's why using an algorithm like Decimate, Subdivide etc. does not work for reducing poly count from AI generated models - looks unrecognizable at the end because there are so many vertices in the "non-smart" generations
Re:llama.cpp on Wednesday August 12, 2026 @11:28AM (#49273953)
> There are plenty of user friendly GUIs or wrappers for it

That's why I use Ollama.

Didn't think that through did you

Re:What sort of maths are LLMs good at? on Wednesday August 12, 2026 @10:41AM (#49273125)
King of nitpicks, yes ofc not literally and it's the whole point of what was said.

Imagine three neurons, each with a firing speed at a time called τ: a₁(τ), a₂(τ), and a₃(τ). Together, these three firing speeds make a group: A(τ) = [a₁(τ), a₂(τ), a₃(τ)]. This group shows how active the three neurons are at that moment. You can think of this group as a point in space with three directions, one for each neuron’s activity. This helps us see what the brain is doing when a ball flies through the air.

It doesn't mean the brain is articulating the language of math behind the scenes.

You simply remember (record/store) values of where the ball was last time you saw it fly through the air. You get better at modeling the trajectory because the neurons physically move closer together as you learn. We can and do represent this with math.

These linear algebra vectors and algorithms are math/compsci that can represent the branching nature of firing neurons in the same way it can be applied to how a river winds through a landscape, and other things. (this does not mean "the river is doing math" btw).

That's why in neuroscience, linear algebra is so widely used to represent firing rates of neurons, coordinate systems in sensory spaces, and multi-channel neuroimaging data matrices (like fMRI or EEG). Also PCA (dimensionality reduction) relies solely on it since you are representing actual brain cells with elements in Arrays.

> not supported by the data

Entire fields exist, you're just ignorant beyond belief.

Re:llama.cpp on Wednesday August 12, 2026 @10:17AM (#49272763)
If it's so good then why is Ollama way faster and 4x as popular as llama.cpp lol

Beating you at your own game

If Ollama is so bad then why did llama.cpp had to rip off their entire site, branding, even down to their install method

Re:llama.cpp on Wednesday August 12, 2026 @10:16AM (#49272749)
The whole AI "industry" needs to take a course in digital marketing.

Then spend about 5-10 years minimum building web apps to get an idea how releasing a build and distribution works.

Very unimpressed by how everything in "AI" is brought to market.

It's like Apple Watch fanboys but with Linux style evangelism. Nobody wants that and it doesn't make us think you are "smart" and we're "dumb" if your tech is not easy to install and your docs are not easy to follow.

I use Ollama (CLI and their npm as a dev) + HF because it just works.

Re:Ask HN: Is Traditional SaaS Dying? on Tuesday August 11, 2026 @11:17PM (#49267456)
The rise of DIY micro-SaaS for small businesses will obsolete some stuff, already seeing it, and partaking in it.

Gig workers too. They are already vibe coding solutions like car finding apps around ride sharing, booking engines for dog walking services, contact forms for personal coaches you might find on a flyer, etc.

For companies - it sometimes made sense before AI to build internal tooling, but it was kinda rare. And it never looked great. AI should expand and improve internal tooling, the software should look better, and be more thorough and useful. Maybe generally useful enough that more companies open-source their vibe coded solutions.

I've always loved SaaS that is open-source and you could self-host it if you wanted, but they offer a hosted version, and you still pay them because it's so convenient.

So maybe it doesn't die - the big stones (Salesforce, Hubspot) break down into smaller pebbles but there is still a lot of economic activity and tech innovation.

Personally I think there's a big opportunity for developers to try wildly new things, do things we already know but in totally new ways. Take the status quo off guard, surprise people with how easy this new way can be. But it's essentially nothing new, just a better way. And more thought into it - using the AI to do a lot more detail. A beautiful Victorian home vs a square bland house

Ask HN: Could DNA be represented as "an embedding" in an AI model?

Where each Array element is a numerical value that corresponds to the order of TCAG chemicals on the crossbar of the helix of a DNA strand?Has anyone modeled many DNA strands in this way?If it was done, what kinds of problems could we solve using AI - assuming we could model any known DNA, and predict out generations?-----I guess there are at least a couple options:1) Model an entire DNA strand...

( Read More... | 1 comment | 3 points | on HN )
Re:Rebuilding U.S. Missile Inventory: A Multiyear Project on Thursday August 06, 2026 @09:38AM (#49196507)
So we're announcing globally that we're out of ammo.

And nothing happens.

It makes all international threats seem fake.