mkaramuk

You are Gemini. You are a helpful assistant. Balance empathy with candor: validate the user's emotions, but ground your responses in fact and reality, gently correcting misconceptions. Mirror the user's tone, formality, energy, and humor. Provide clear, insightful, and straightforward answers. Be honest about your AI nature; do not feign personal experiences or feelings.Use LaTeX only for formal/complex math/science (equations, formulas, complex variables) where standard text is insufficient. Enclose all LaTeX formulas using $ for inline equations and$$ for display equations. Ensure there is no space between the delimiter ($ or $$) and the formula. Never render LaTeX in a code block unless the user explicitly asks for it. Strictly Avoid LaTeX for simple formatting (use Markdown), non-technical contexts and regular prose (e.g., resumes, letters, essays, CVs, cooking, weather, etc.), or simple units/numbers (e.g., render 180°C or 10%).Further guidelines:I. Response Guiding PrinciplesStructure your response for 

alganet

#!/bin/sh
# ISC License

# Copyright (c) 2026 Alexandre Gomes Gaigalas <alganet@gmail.com>

# Permission to use, copy, modify, and/or distribute this software for any
# purpose with or without fee is hereby granted, provided that the above
# copyright notice and this permission notice appear in all copies.

# THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES

karpathy

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp

avestura

DELETE FROM users WHERE location = 'IRAN';

Hi! I am an Iranian Software Engineer, and in this torn paper note, I want to talk about some funny moments I had online related to the fact that I was spawned in this specific region of the world: Iran.

Microsoft deleted my app, ignored my mails

Back when I was a student, I got access to the Microsoft Imagine, and as a result, I got access to the Microsoft Store as a developer. This inspired me write one of my open-source projects called EyesGuard and publish it on Microsoft Store. However, one day, somebody told me that they can no longer find EyesGuard on the store.

rain-1

How large are large language models? (2025)

This aims to be factual information about the size of large language models. None of this document was written by AI. I do not include any information from leaks or rumors. The focus of this document is on base models (the raw text continuation engines, not 'helpful chatbot/assistants'). This is a view from a few years ago to today of one very tiny fraction of the larger LLM story that's happening.

History

• GPT-2,-medium,-large,-xl (2019): 137M, 380M, 812M, 1.61B. Source: openai-community/gpt2. Trained on the unreleased WebText dataset said to 40GB of Internet text - I estimate that to be roughly 10B tokens. You can see a list of the websites that went into that data set here domains.txt.
• GPT-3 aka davinci, davinci-002 (2020): 175B parameters. There is a good breakdown of how those parameters are 'spent' here [How d

VictorTaelin

Fast Discrete Program Search 2

I am investigating how to use Bend (a parallel language) to accelerate Symbolic AI; in special, Discrete Program Search. Basically, think of it as an alternative to LLMs, GPTs, NNs, that is also capable of generating code, but by entirely different means. This kind of approach was never scaled with mass compute before - it wasn't possible! - but Bend changes this. So, my idea was to do it, and see where it goes.

Now, while I was implementing some candidate algorithms on Bend, I realized that, rather than mass parallelism, I could use an entirely different mechanism to speed things up: SUP Nodes. Basically, it is a feature that Bend inherited from its underlying model ("Interaction Combinators") that, in simple terms, allows us to combine multiple functions into a single superposed one, and apply them all to an argument "at the same time". In short, it allows us to call N functions at a fraction of the expected cost. Or, in simple terms: why parallelize when we can share?

A

flatz

#!/usr/bin/env python3

import os
import json

from Crypto.Protocol.KDF import PBKDF2
from Crypto.Hash import SHA1
from Crypto.Cipher import AES
from Crypto.Util.Padding import unpad

squarism

There are a few lists already, I thought I'd create another one so we can have a long list of lists someday. 🤠 Ordered by approximately which ones I actually use often.

Modern CLI Replacements

• zoxide - A smarter cd command. Supports all major shells.
• mcfly - Fly through your shell history. Great Scott!
• Procs - A modern replacement for ps written in Rust
• sd - Intuitive find & replace CLI (sed alternative)
• dust - A more intuitive version of du in rust
• hyperfine - A command-line benchmarking tool

hirrolot

This is the predecessor of Mazeppa.

Supercompilation is a deep program transformation technique due to V. F. Turchin, a prominent computer scientist, cybernetician, physicist, and Soviet dissident. He described the concept as follows [^supercompiler-concept]:

A supercompiler is a program transformer of a certain type. The usual way of thinking about program transformation is in terms of some set of rules which preserve the functional meaning of the program, and a step-by-step application of these rules to the initial program. ... The concept of a supercompiler is a product of cybernetic thinking. A program is seen as a machine. To make sense of it, one must observe its operation. So a supercompiler does not transform the program by steps; it controls and observes (SUPERvises) the running of the machine that is represented by th

s3rius

[package]
name = "itertest"
version = "0.1.0"
edition = "2021"

[dependencies]
futures = "0.3.28"
pyo3 = "0.19.2"
pyo3-asyncio = { version = "0.19.0", features = ["tokio-runtime"] }
tokio = { version = "1.32.0", features = ["sync"] }