metacritical

I want to solve the following problem, but I’m stuck.
Please act as a “cognitive centrifuge.”

1. Break the problem into exactly four numbered sub-problems.
2. For each sub-problem, give me one concrete micro-action I can do in under 2 minutes that will either (a) make the problem smaller, or (b) give me new information.
3. After the four micro-actions, add a one-line “momentum booster” I can say out loud to prime my brain to keep going.
4. Format the whole thing so I can read it in <15 seconds.

Problem:

alexweberk

veekaybee

Anti-hype LLM reading list

Goals: Add links that are reasonable and good explanations of how stuff works. No hype and no vendor content if possible. Practical first-hand accounts of models in prod eagerly sought.

Foundational Concepts

Pre-Transformer Models

sanketsudake

I have created a local Kubernetes cluster with kind. Following are changes you need to get metric-server running on Kind.

Deploy latest metric-server release.

kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/download/v0.5.0/components.yaml

Within existing arguments to metric-server container, you need to add argument --kubelet-insecure-tls.

janjaali

Create snapshot of dockerized postgres

The goal of this instruction is to enable users to create Docker images that contain a predefined postgres instance with existing schema and data. We will use the official docker postgres image and mostly docker's own commands.

The first step is to setup a docker container running postgres containing t# Create snapshot of dockerized postgres

The goal of this instruction is to enable users to create Docker images that contain a predefined postgres instance with existing schema and data. We will use the official docker postgres image and mostly docker's own commands.

The first step is to setup a docker container running postgres containing the schema and data that we want to include in the created snapshot:

amukherj

package main


// Code copied from open source repos and customized

import (
    "crypto/tls"
    "crypto/x509"
    "flag"
    "io/ioutil"

sanketsudake

import logging
import boto3
import dateutil

logger = logging.getLogger()
logger.addHandler(logging.StreamHandler())  # Writes to console
logger.setLevel(logging.INFO)


def create_sts_client(aws_access_key_id=None,

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

prathamesh-sonpatki

require 'ripper'
require 'pp'

code =<<STR
10.times do |n|
  puts n
end
STR

puts code

aymanfarhat

from itertools import chain

intersection = []

sets = [[0,4,5,2,1],[1,3,6,2,4],[4,1,2,5,7,0]]

merged = list(chain.from_iterable(sets))

merged.sort()