emberian

Adaptive Training for Flexible Skill Acquisition: Building Navigable Mental Models of Graph-Structured Tasks

1. Introduction

Many cognitive tasks, from navigating complex software to learning a city's public transport system, involve internalizing structured knowledge. While seemingly straightforward, mastering these domains often requires more than rote memorization of a single sequence of steps. For instance, a software user might learn a specific menu path to access a common feature (e.g., File -> Save As -> Cloud Storage). This linear, procedural knowledge works well when the environment is static and the goal always accessed in the same way. However, if the menu structure changes, a shortcut is introduced, or the user needs to achieve the goal from a different starting point (e.g., saving from a context menu), this rigid, "one-way street" knowledge breaks down. Users struggle, resort to trial-and-error, or inefficiently retrace familiar paths, even if a shorter, direct route exists. This h

Okay, let's get our hands dirty and prototype a proc-macro for the Refined Syntax Idea 4! This will be a non-trivial proc-macro, but breaking it down into steps will make it manageable. We'll focus on the core parsing and code generation, without implementing all the features initially (like full expression parsing within the handlers). We'll build up the functionality iteratively.

Project Setup (Proc-Macro Crate)

First, create a new proc-macro crate within your muchin project. This is crucial because proc-macros must be in a separate crate. Assuming your main muchin crate is in a directory called muchin, do the following:

cd muchin
cargo new muchin_macros --lib

❗ This release is only to be used as part of the Devnet Upgrade ❗

This release is the first phase of the Devnet upgrade that specifies the stop slot in the codebase that formally begins the process. This isthe first stage in a two stage process; the next devnet release will usher in the start of the new Devnet and as such the new era of Berkeley functionality on our Devnet!

Supported environments include macOS, Linux (Debian 10, 11 and Ubuntu 20.04 LTS), and any host machine with Docker.

The O(1) Labs team is excited to announce the release of the tools required to migrate Devnet archive database! The release will enable archive node operators on Devnet to incrementally migrate their database before the Berkeley Upgrade on Devnet.

The new tools included are:

mina-archive-maintenance: A tool to verify that the devnet archive database is correct and up-to-date. If the database is missing blocks, then the tool patches using blocks exported as json files by mina daemon. Users can also find these blocks in gs://mina_network_block_data location. Please refer here for documentation on this tool.
mina-berkeley-migration-script: This script uses multiple tools to migrate devnet database and verify the migrated database. For documentation on how to use the tooling, either the toplevel simplified script or understanding the individual components, please refer to the [draft documentation]

April Fool's! These release notes are from ChatGPT.

You might want to read the real deal.

🚀💥 O(1) Labs Team is ALL FIRED UP to Drop the LATEST Devnet Archive Migration Tools! 💥🚀

🎉 BIG NEWS, Friends! 🎉 We're thrilled to bits to unveil the shiny new gadgets you'll need for a smooth sail through the Devnet Archive Database Migration! Get ready to kick things up a notch before the Berkeley Upgrade hits Devnet. 🚀

What's Cooking? 🔥

Methodology

I trawled recoop's website for specific claims they make about ingredients and their possible effects. I searched "$ingredient adhd", "$ingredient amphetamine", "$ingredient stimulant" on pubmed and looked at the first two pages of results. I scanned all titles and summarized abstracts to gauge relevance.

Vitamin C

Claim: Vitamin C helps accelerate excretion of stimulants, increasing recovery.

Literature: (note, i used "ascorbic acid" as an additional search term)

	import sys
	from collections import defaultdict

	hosts_by_pkg = defaultdict(set)

	for line in sys.stdin:
	line = line.strip()
	if not line:
	continue
	host, pkg = line.split()

	{"timestamp":"2024-03-22 02:10:42.349677Z","level":"Info","source":{"module":"Dune__exe__Precomputed_block","location":"File \"src/app/berkeley_migration/precomputed_block.ml\", line 238, characters 10-21"},"message":"Finished downloading precomputed blocks","metadata":{}}
	{"timestamp":"2024-03-22 02:56:07.268961Z","level":"Info","source":{"module":"Dune__exe__Berkeley_migration","location":"File \"src/app/berkeley_migration/berkeley_migration.ml\", line 490, characters 6-17"},"message":"Migrating mainnet blocks","metadata":{}}
	{"timestamp":"2024-03-22 02:56:07.277535Z","level":"Info","source":{"module":"Dune__exe__Berkeley_migration","location

	#!/usr/bin/env bash

	docker exec -it $(basename $(pwd)) /bin/bash