jaanli

If you want to read (i.e. listen to!) content that is:

1. On the web: use the Microsoft Edge browser read aloud feature (https://www.microsoft.com/en-us/edge/features/read-aloud)

• Apple iOS app store link: https://apps.apple.com/us/app/microsoft-edge-ai-browser/id1288723196
• Google Play store Android link: https://play.google.com/store/apps/details?id=com.microsoft.emmx

2. Words in a PDF: use the Elevenlabs app:

• Apple iOS app store link: https://apps.apple.com/us/app/elevenlabs-reader-ai-audio/id6479373050

jaanli

#!/bin/bash

# Instructions:
# 0. Install prerequisites using a package manager: `brew install tree rectangle maccy` (`tree` is a command line utility for transmitting the directory structure to large language models in a compressed format; `rectangle` is a utility for managing screen state and having a LLM on the left of the screen and a code editor/interactive development environment like Jupyter Lab or Visual Studio Code on the right of the screen using keyboard shortcuts; `maccy` is for having a keyboard shortcut to display clipboard history, as there are few solutions like https://colab.research.google.com/github/jaanli/language-model-notebooks/blob/main/notebooks/getting-started.ipynb that enable saving of previous prompts and code in accessible ways using keyboard shortcuts!)
# 1. Copy and paste the contents of this bash script into a file: `code /usr/local/bin/copy.sh`
# 2. Make this new file executable: `chmod a+x /usr/local/bin/copy.sh`
# 3. Test it in a directory, by running `copy.sh`, which should

jaanli

Free, local, or open source text-to-speech AI models

Use for absorbing content from https://gist.github.com/jaanli/6f947466ab784774b11d4bbc8c43c077 -

• Microsoft Edge "Read Aloud" feature: https://www.microsoft.com/en-us/edge/features/read-aloud

jaanli

Information is often behind paywalls, behind artificial intelligence interfaces that require payment, and going to the source is often required to advance basic science and biomedical research.

Here are simple workflows tested over the years for accessing information:

graph TB
A[Can I access plain text content that contains the information needed to satisfy my intent?] --> B(<a href='https://web.archive.org'>Wayback Machine</a>)
A --> C(<a href='https://archive.is'>archive.is</a>)
A --> D(<a href='https://libgen.rs'>Library Genesis</a>)
A --&gt; E[<a href="https://bing.com">Bing Cached Pages</a>Search on Bing, click arrow by result, click 'Cached']

jaanli

Cents & Sensibility: The Ledger Luminaries' Revolution

I'm scared to account; scared of statements of business dealings, credits and debits, and tracking of all this money-related stuff. Scared of reciting these transaction histories, and yet reckoning with these computations and enumerations is as deathly certain as taxes.

It is silly that this problem has not been solved given fancy new technology like AI and large language models. It's also silly how much big institutions skim off the top, like 1.5–3.5% per credit card transaction, and our expanding web of subscriptions to Substacks, Youtubes and the like that become more numerous and Medusa-like the harder they are to track, aggregate, categorize, and analyze across instutitions. I'm also scared of Mint.com (I used it for many years) as they broker our data, but still need the help of software and technology to manage money. This feels like a data problem that should have been solved long ago 🤯

So the goal here was to spend a few hours on a weekend t

jaanli

import { test, expect } from '@playwright/test';

test('Delete W&B Projects', async ({ page }) => {
  // Navigate to the login page and log in
  await page.goto('https://wandb.ai/login');
  await page.getByPlaceholder('name@work-email.com').fill(process.env.WANDB_EMAIL);
  await page.getByPlaceholder('your password').fill(process.env.WANDB_PASSWORD);
  await page.click('text=Log In');

  // Wait for navigation to ensure login is complete

jaanli

import torch
import torch.nn.functional as F
import time
from flash_attn import flash_attn_qkvpacked_func

# Ensure torch supports bf16 on the current device; CUDA support for bf16 might be device-dependent
assert torch.cuda.is_bf16_supported(), "CUDA device does not support bf16."

# Data Preparation
batch_size = 1

jaanli

\documentclass[10pt]{article}
\usepackage[usenames]{color} %used for font color
\usepackage{amssymb} %maths
\usepackage{amsmath} %maths
\usepackage{mathtools}
\usepackage[utf8]{inputenc} %useful to type directly diacritic characters

% TABLES
\usepackage{booktabs}
\usepackage{array}

jaanli

Towards a better mac development environment in 2018

Progress, perspectives, & new beginnings.

Advice: Install everything. Go all-in on all the suggested tools for a week, then see what sticks. Start using all of them at once. There's a large 'activation energy' to switching tools but it is worth the up-front investment for a lifetime of saved milliseconds on everyday tasks like switching directories, etc.

Useful tools:

• brew cask: install most desktop applications brew cask install spotify evernote simplenote dropbox vlc slack 1password skim caffeine mactex skype anaconda google-chrome alfred iterm2 flux spectacle rescuetime sublime-text macbreakz little-snitch

jaanli

# Fixed ubuntu version
FROM ubuntu:16.04

# Install Ruby and Rails dependencies
RUN apt-get update && apt-get install -y \
  tmux \
  gdb \
  gcc \
  g++ \
  python \