ossa-ma

AI Writing Tropes to Avoid

Add this file to your AI assistant's system prompt or context to help it avoid common AI writing patterns. Source: tropes.fyi by ossama.is

---

Word Choice

"Quietly" and Other Magic Adverbs

emschwartz

This is an OPML version of the HN Popularity Contest results for 2025, for importing into RSS feed readers.

Plug: if you want to find content related to your interests from thousands of obscure blogs and noisy sources like HN Newest, check out Scour. It's a free, personalized content feed I work on where you define your interests in your own words and it ranks content based on how closely related it is to those topics.

minimaxir

Agent Guidelines for Python Code Quality

This document provides guidelines for maintaining high-quality Python code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

AmitGazal

#!/bin/bash
echo "Cleaning up Xcode files…"

# Show current heavy folders
du -sh ~/Library/Developer/Xcode/DerivedData \
       ~/Library/Developer/Xcode/Archives \
       ~/Library/Developer/Xcode/iOS\ DeviceSupport \
       ~/Library/Developer/CoreSimulator/Devices \
       ~/Library/Developer/Xcode/DocumentationCache 2>/dev/null || true

sayakpaul

from google import genai
from google.genai import types
import typing_extensions as typing
from PIL import Image
import requests
import io
import json
import os

simonw

# /// script
# dependencies = [
#   "atproto"
# ]
# ///
from atproto import Client
import getpass
import time

sayakpaul

import torch
from diffusers import FluxTransformer2DModel
import torch.utils.benchmark as benchmark
from torchao.quantization import quantize_, int8_weight_only
from torchao.utils import unwrap_tensor_subclass
import torch._inductor

torch._inductor.config.mixed_mm_choice = "triton"

linoytsaban

# download FluxCFGPipline
!wget https://raw.githubusercontent.com/linoytsaban/diffusers/refs/heads/dreambooth-lora-flux-exploration/examples/community/pipeline_flux_with_cfg.py

# load pipeline
import diffusers
import torch
from pipeline_flux_with_cfg import FluxCFGPipeline

pipe = FluxCFGPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", 
                                    torch_dtype=torch.bfloat16)

sayakpaul

Running Flux under limited resources with Diffusers

Flux: https://blackforestlabs.ai/announcing-black-forest-labs/

• Run Flux with quantization by AmericanPresidentJimmyCarter.
• Run Flux on a 24GB 4090 by decoupling the different stages of the pipeline
• Running with torchao
• Running with NF4

The first resource even allows you to run the pipeline under 16GBs of GPU VRAM.

pcuenca

import argparse
import numpy as np
import torch
import torch.nn as nn
import coremltools as ct
from transformers import AutoTokenizer, AutoModelForCausalLM

# When using float16, all predicted logits are 0. To be debugged.
compute_precision = ct.precision.FLOAT32
compute_units = ct.ComputeUnit.CPU_ONLY