leventov

package tests;

import org.openjdk.jmh.annotations.*;

import java.util.*;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.TimeUnit;

@BenchmarkMode(Mode.AverageTime)
@Measurement(time = 100, timeUnit = TimeUnit.MILLISECONDS)

leventov

Keybase proof

I hereby claim:

• I am leventov on github.
• I am leventov (https://keybase.io/leventov) on keybase.
• I have a public key ASDzs8Wl-lVqJjYp08P567ms5Hx5uQ9qFvxqOwkyfiQ3LQo

To claim this, I am signing this object:

leventov

import (
	"log"
	"math/rand"
	"testing"

	"github.com/montanaflynn/stats"
	"gonum.org/v1/gonum/floats"
)

func TestMidCardinalitySimulation(t *testing.T) {

leventov

Roman: Imagine an agent made of yourself (i.e., GPT-4 model) with some software harness around. This software harness models plan execution by keeping a hierarchical tree of goals and tasks and supplying it in the beginning of the GPT-4 context, where the GPT-4 model is repeatedly asked to either create or update a plan for achieving a specific goal or task in the hierarchy, or drill down and execute a sub-task, or assess whether a task or goal is achieved and move to the next step in the higher-level task.

With some periodicity, when the highest-level task in the tree is completed, GPT-4 is prompted with the question "What I should do next?", to create a new highest-level goal or task.

How would you answer this question if you was a part of such an agent?

GPT: As a part of such an agent, when prompted with the question "What should I do next?" after completing the highest-level task in the tree, I would analyze the current context, available resources, and any constraints or priorities that might