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Solveit Reference

What is Solveit?

Solveit is a "Dialog Engineering" web application for interactive development. Unlike ChatGPT (pure chat) or Jupyter (pure code), Solveit combines three message types in one workspace: code execution, markdown notes, and AI prompts. Users build solutions incrementally—writing a few lines, understanding them, then continuing—rather than generating large code blocks.

The AI sees the full dialog context (code, outputs, notes, prompts) when responding -- but only those ABOVE the current message. Users can edit any message at any time, including AI responses—the dialog is a living document, not an append-only log.

The dialog is a running ipykernel instance. A "dialog" is like a "Jupyter notebook", and uses a compatible ipynb file format, but provides a superset of functionality (in particular, "prompt messages"). A "message" is like a "Jupyter cell", with additional attributes stored as ipynb cell metadata. Most standard jupyter functionality is supported (including cell

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#!/bin/bash
ARCH=$(uname -m | sed 's/x86_64/x86_64/;s/aarch64/aarch64/;s/arm64/aarch64/;s/arm.*/arm/')
OS=$(uname -s | tr '[:upper:]' '[:lower:]' | sed 's/darwin/apple-darwin/;s/linux/unknown-linux-musl/')
URL=$(curl -s "https://latest.fast.ai/latest/ekzhang/bore/${ARCH}-${OS}.tar.gz")
curl -sL "$URL" | tar xz && echo "bore downloaded and extracted"

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Title: The Smol Training Playbook: The Secrets to Building World-Class LLMs

URL Source: https://huggingfacetb-smol-training-playbook.hf.space/

Published Time: Oct. 30, 2025

Markdown Content: Table of Contents

Table of Contents

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Speakers:

• Jeremy Howard - Founding Researcher, Fast.ai
• Anna Tong - Reporter, Forbes

---

[00:00:32] Anna Tong: Hi everyone. Hi Jeremy. I'm told by many people here that you need no introduction, but for the two people who don't know who you are here, Jeremy, you're the CEO of Fast.ai, you're the CEO of Answer.ai. You created the first large language model, and you were the first outside organization to pour resources into PyTorch. Am I missing anything here?

[00:00:55] Jeremy Howard: That sounds good.

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Place file below in ~/Library/LaunchAgents/tmux.plist.

• Install using launchctl bootstrap gui/$UID ~/Library/LaunchAgents/tmux.plist
• Uninstall using launchctl bootout gui/$UID/tmux
• Restart with launchctl kickstart gui/$UID/tmux

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This is a list of phrases and formatting conventions typical of AI chatbots with real examples.

Language and tone

Undue emphasis on symbolism and importance

Words to watch: is/stands as/serves as a testament, plays a vital/significant role, underscores its importance, continues to captivate, leaves a lasting impact, watershed moment, key turning point, deeply rooted, profound heritage, steadfast dedication, stands as a, solidifies ...

LLM writing often puffs up the importance of the subject matter with reminders that it represents or contributes to a broader topic. There seems to be only a small repertoire of ways that it writes these reminders, so if they are otherwise appropriate it would be best to reword them anyway.

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from httpx import get as xget
def read_url(url:str): 
    "Reads a url"
    return xget(url, follow_redirects=True).text

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Model	% correct	Cost	Time per case
gemini-2.5-pro-preview-06-05 (32k think)	83.1%	$49.88	200.3s
o3 (high) + gpt-4.1	82.7%	?	110.0s
o3 (high)	79.6%	$22.20	113.8s
gemini-2.5-pro-preview-06-05 (default think)	79.1%	$45.60	175.2s
Gemini 2.5 Pro Preview 05-06	76.9%	$37.41	165.3s
Gemini 2.5 Pro Preview 03-25	72.9%	$0.00	45.3s
claude-opus-4-20250514 (32k thinking)	72.0%	$65.75	44.1s
o4-mini (high)	72.0%	$19.64	176.5s

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(A cleaned up transcription of this video section.)

Introduction to ULMFiT

The problem we'll solve

This series of three steps here is what we're going to start by digging into. We're going to start out with a movie review like this one and decide whether it's positive or negative sentiment about the movie. That is the problem we have.

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"This is a test module which makes some simple tools available."
__all__ = ["hi","whoami"]

testfoo='testbar'

def hi(
    who:str # who to say hi to
):
    "Say hi to `who`"
    return f"Hello {who}"