loaderchips

7 ms·

1.
by loaderchips 2mo ago
I Have always found that acronyms are not the problem. They are necessary. However they become a problem when a lot of people start shoehorning them as attention targets instead of using them naturally in flow.
2.
by loaderchips 2mo ago
dont pay any attention to the negative comments. u have done a good project.
3.
by loaderchips 3mo ago
I like claude but they are not making it easy to keep that emotion. I am not sure if i will be their customer for long
4.
by loaderchips 3mo ago
can u be more specific please
5.
Show HN: Motif Atlas – recurring patterns behind complex systems(nikitph.github.io)
9 points by loaderchips 3mo ago|2 comments
6.
Show HN: Threshold Concepts in CS – ideas that permanently change how you think(github.com)
3 points by loaderchips 4mo ago|0 comments
7.
by loaderchips 4mo ago
Mcp works because it exposes primitives to agentic Loop and makes dynamic calls possible which would otherwise require very elaborate deterministic algorithms. I like to think of every mcp tool as a co-ordinate Axis. The more you have the m
8.
Show HN: Reward Is Not Reinforcement Until Admitted(github.com)
1 points by loaderchips 4mo ago|0 comments
9.
Show HN: YieldOS-Lite – A simulator for LLM inference control-plane governance(github.com)
2 points by loaderchips 4mo ago|0 comments
10.
by loaderchips 4mo ago
It's beautiful how the human mind can take something very obvious but overlooked and make it into this fantastic innovation. Fab stuff.
11.
by loaderchips 6mo ago
Very well put. I love Claude but anthtopic as a company sucks.
12.
by loaderchips 8mo ago
TL;DR The Problem: When your AI fails, "the algorithm did it" won't fly. Insurance, courts, and regulators need a human name. The Pattern: Ships got captains. Bridges got licensed engineers. Planes got pilots. Medicine got at
13.
Generative Intuition(nikitph.medium.com)
2 points by loaderchips 9mo ago|0 comments
14.
by loaderchips 9mo ago
Thank you for the thoughtful comment. Your questions are valid given the title, which I used to make the post more accessible to a general HN audience. To clarify: the core distinction here is not kernelization vs kNN, but field evaluation
15.
Why “negative vectors” can't delete data in FAISS – but weighted kernels can(github.com)
21 points by loaderchips 9mo ago|4 comments
16.
Transformers Must Hallucinate(medium.com)
3 points by loaderchips 9mo ago|0 comments
17.
by loaderchips 11mo ago
not sure why i m getting downvoted. Would love to have a technical discussion on the validity of my suggestions.
18.
by loaderchips 11mo ago
Great work guys, how about we replace the global encoder with a Mamba (state-space) vision backbone to eliminate the O(n²) attention bottleneck, enabling linear-complexity encoding of high-resolution documents. Pair this with a non-autoregr
19.
by loaderchips 1y ago
i wonder how fast this would be when run on something like groq
20.
Ragged – Leveraging Video Container Formats for Efficient Vector DB Distribution
2 points by loaderchips 1y ago|0 comments
21.
by loaderchips 2y ago
You have articulated what i have been feeling towards apple really well. I like their products But their philosophy and approach is not up to par