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prideout

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prideout.net 1y ago

Rust on the web and an ECS lite architecture

prideout
5pts1
prideout.net 1y ago

Rendering Chip Layouts with Rust

prideout
2pts0
prideout.net 1y ago

Show HN: WebGL Renderer for Chip Layouts

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3pts0
prideout.net 2y ago

Generating SVG for the prime knots

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230pts26
medium.com 2y ago

Arcol: The collaborative CAD tool for architects

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6pts7
prideout.net 3y ago

Make a Daily Pull Request

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2pts0
astrometry.net 3y ago

Computer vision is a solved problem for astronomical images (2009)

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1pts0
news.ycombinator.com 4y ago

Ask HN: How can I help the scientific community?

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2pts4
prideout.net 4y ago

Serialization-Based Undo

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76pts21
prideout.net 4y ago

Hot loading C++ game code

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19pts4
prideout.net 4y ago

C++ as a Scripting Language (Sort Of)

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4pts0
prideout.net 4y ago

Exploring Special Relativity

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1pts0
prideout.net 5y ago

Cube Games and Group Theory

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4pts0
smus.com 5y ago

Frank Herbert by Tim O’Reilly

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4pts0
prideout.net 5y ago

Show HN: SVG Wall Poster of Knot Diagrams

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8pts0
prideout.net 5y ago

Generating SVG for the Prime Knots

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2pts0
prideout.net 6y ago

Cross Products and the Four Color Theorem

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2pts0
prideout.net 6y ago

An unsolved problem in graph theory

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79pts9
prideout.net 6y ago

The Graceful Tree Conjecture

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2pts0
prideout.net 6y ago

An American Pedigree

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3pts4
prideout.net 6y ago

Show HN: The virtues of the subdivided octahedron (with demo and code)

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4pts0
prideout.net 6y ago

The Simple, Flexible, Octasphere

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5pts0
prideout.net 6y ago

Perfect Panning

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2pts0
prideout.net 6y ago

Euler's Polyhedron Formula

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2pts0
prideout.net 7y ago

3D Wireframes Using SVG

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394pts54
prideout.net 7y ago

Show HN: Tiny C library for tessellating lines and curves

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6pts0
prideout.net 7y ago

I am a victim of identity theft

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2pts0
prideout.net 7y ago

Filament and WASM: Physically-based rendering for web

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87pts14
github.com 7y ago

Show HN: The prime knots in JavaScript

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2pts0
prideout.net 7y ago

Procedural Terrain with Distance Fields

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3pts0

This is a fascinating mathematical framework, but the post title might be a bit of an overreach. I often wonder if "a theory of deep learning" could exist that could be stated succinctly and that could predict (1) scaling laws and (2) the surprising reliability of gradient descent.

Note that I said "predict" not "describe". It feels like we're still in the era of Kepler, not Newton.

What does the "Session Picker" section refer to? Claude Code does not have a session picker, as far as I can tell.

The fact that triangles have proliferated is not due to half-assery. Hardware can rasterize them very quickly, and a triangle can have only one normal vector. Quads can be non-planar. It's true that quads are nice for humans and artists though!

As an aside, Catmull-Clark subdivision has been around since 1978, which, as a first step, breaks an arbitrary polyhedron into a mesh of quadrilaterals.

I lost interest fairly quickly because the entire article seems to rely on a certain definition of "intelligent" that is not made clear in the beginning.

Pygfx 2 years ago

Am I the only one who is irked by by ads on Read the Docs pages?

Thanks, that helps! I still don't quite understand the mechanics of this, since backprop makes adjustments to steer the LLM towards a specific token sequence, not towards a score produced by a reward function.

Reinforcement learning seems to be key. I understand how traditional fine tuning works for LLMs (i.e. RLHL), but not RL.

It seems one popular method is PPO, but I don't understand at all how to implement that. e.g. is backpropagation still used to adjust weights and biases? Would love to read more from something less opaque than an academic paper.

[dead] 2 years ago

If you ask it to "Pick 100 numbers from 0-10", it will invoke a Python snippet and give you a much better distribution.

The "Comment" magazine looks nice, nowadays I don't see many appealing printed magazines. I wonder if there are print publications out there on technical subjects that interest me.