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https://www.youtube.com/watch?v=0cn3VBjfN8g&embedable=true&transcript=true&long=true

"The Person Who Controls the Algorithm Controls the World, Right?" Mark Cuban on the Lex Fridman Pod

"যে ব্যক্তি অ্যালগরিদম নিয়ন্ত্রণ করে বিশ্বকে নিয়ন্ত্রণ করে, তাই না?" লেক্স ফ্রিডম্যান পডে মার্ক কিউবান

„Wer den Algorithmus kontrolliert, kontrolliert die Welt, oder?“ Mark Cuban im Lex Fridman Pod

"La persona que controla el algoritmo controla el mundo, ¿verdad?" Mark Cuban en el Pod Lex Fridman

« La personne qui contrôle l'algorithme contrôle le monde, n'est-ce pas ? » Mark Cuban sur le module Lex Fridman

"वह व्यक्ति जो एल्गोरिथम को नियंत्रित करता है वह दुनिया को नियंत्रित करता है, ठीक है?" लेक्स फ्रिडमैन पॉड पर मार्क क्यूबन

「アルゴリズムをコントロールする人が世界をコントロールする、そうでしょう？」レックス・フリードマン・ポッドのマーク・キューバン

"알고리즘을 지배하는 사람이 세상을 지배하는 거겠죠?" Lex Fridman Pod의 Mark Cuban

"A pessoa que controla o algoritmo controla o mundo, certo?" Mark Cuban no Lex Fridman Pod

«Человек, который управляет алгоритмом, контролирует мир, верно?» Марк Кьюбан в капсуле Лекса Фридмана

"Algoritmayı Kontrol Eden Kişi Dünyayı Kontrol Eder, Değil mi?" Lex Fridman Pod'da Mark Cuban

"Người điều khiển thuật toán sẽ điều khiển thế giới, phải không?" Mark Cuban trên Lex Fridman Pod

“控制算法的人就控制了世界，对吧？”马克·库班在 Lex Fridman 播客上说

https://www.youtube.com/watch?v=jvqFAi7vkBc&embedable=true&transcript=true&long=true

"Compute is Going to the Currency of the Future," says Sam Altman on the Lex Fridman Podcast 

লেক্স ফ্রিডম্যান পডকাস্টে স্যাম অল্টম্যান বলেছেন, "কম্পিউট ভবিষ্যতের মুদ্রায় যাচ্ছে"

„Compute wird zur Währung der Zukunft“, sagt Sam Altman im Lex Fridman Podcast

"La informática se está convirtiendo en la moneda del futuro", dice Sam Altman en el podcast Lex Fridman

"Le calcul devient la monnaie du futur", déclare Sam Altman sur le podcast Lex Fridman

लेक्स फ्रिडमैन पॉडकास्ट पर सैम ऑल्टमैन कहते हैं, "कंप्यूट भविष्य की मुद्रा की ओर जा रहा है।"

「コンピューティングは未来の通貨になりつつある」とサム・アルトマン氏がレックス・フリッドマン・ポッドキャストで語る

Lex Fridman Podcast에서 Sam Altman은 "컴퓨팅은 미래의 통화로 변모하고 있습니다."라고 말합니다.

“A computação está indo para a moeda do futuro”, diz Sam Altman no Lex Fridman Podcast

«Вычисления становятся валютой будущего», — говорит Сэм Альтман в подкасте Lex Fridman.

Lex Fridman Podcast'inde Sam Altman "Bilgi İşlem Geleceğin Para Birimi'ne Gidiyor" diyor

Sam Altman nói trên Lex Fridman Podcast: “Máy tính đang hướng tới tiền tệ của tương lai”

Sam Altman 在 Lex Fridman 播客上表示：“计算将成为未来的货币”

92 Stories To Learn About Hackernoon Podcast

I write a newsletter called Above Average, where I talk about the second-order insights behind everything that is happening in big tech. If you are in tech and don’t want to be average, . subscribe to it A lot of people want podcasts transcribed and read instead of listening to them. We can go one level up and even extract insights from the podcasts as well using Open AI API. Here’s my tweet exchange, which provoked this experiment. So here is what we are going to do. And it will be slightly different from what I suggested in the tweet. The goal is to pick a YouTube video and get a transcription of that video, and then using prompt engineering, we extract insights, ideas, book quotes & summaries, etc., To Summarize, we achieve our goal in three steps: Step 1: Select a YouTube podcast video Step 2: Transcribe the video Step 3: Get Insights from the transcription Step 1: Select a YouTube podcast video A recent podcast conversation that broke YouTube was Jeff Bezos on Lex Friedman's podcast. So, for this exercise, I will pick this . video Step 2: Transcribe the video I used langchain along with Open AI’s audio-to-text model whisper to transcribe the youtube video. As usual you would need your OpenAI secret key to use the following script. YouTubeAudioLoader import os
import sys
import openai

from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv()) # read local .env file
openai.api_key  = os.environ['OPENAI_API_KEY']


## youtube video's audio loader - langchain 
from langchain_community.document_loaders.blob_loaders.youtube_audio import YoutubeAudioLoader
from langchain_community.document_loaders.generic import GenericLoader
from langchain_community.document_loaders.parsers import OpenAIWhisperParser #, OpenAIWhisperParserLocal

url="https://www.youtube.com/watch?v=DcWqzZ3I2cY&ab_channel=LexFridman"
save_dir="outputs/youtube/"
loader = GenericLoader(
     YoutubeAudioLoader([url],save_dir),
     OpenAIWhisperParser()
 )
docs = loader.load()
print(docs[0].page_content[0:500])

# Specify the file path where you want to save the text
file_path = "audio-transcript.txt"
try:
    with open(file_path, 'a', encoding='utf-8') as file:
        for doc in docs:
            file.write(doc.page_content)
    print(f'Large text saved to {file_path}')
except FileNotFoundError:
    print(f"Error: Input file '{file_path}' not found.")
except Exception as e:
    print(f"An error occurred: {e}") You might see the following error while running this script, and I pasted the solution that works in case you are using a Windows system. Postprocessing: and not found. Please install or provide the path using –ffmpeg-location. ERROR: ffprobe ffmpeg Running this script will generate the transcript and store it in a text file audio-transcript.txt. Step 3: Extract insights from the conversation To extract insights, I am using Open AI API, and here is the script. The code loads the transcript text and passes it along with a prompt designed to extract insights, people & books. To get more interesting things out of this conversation, you can come up with a more interesting prompt. Note that the file name is slightly different because I had to cut the transcript to a short length since my completion query to Open AI API exceeded my TPM limits. import os
import sys
import openai
import shutil
from pprint import pprint

from dotenv import load_dotenv, find_dotenv
_ = load_dotenv(find_dotenv()) # read local .env file
openai.api_key  = os.environ['OPENAI_API_KEY']

client = openai.OpenAI()

file_path = "audio-transcript-copy.txt"
try:
    with open(file_path, 'r', encoding='utf-8') as file:
        long_text = file.read()
    print(f'{file_path} is rad')
except FileNotFoundError:
    print(f"Error: Input file '{file_path}' not found.")
except Exception as e:
    print(f"An error occurred: {e}")

prompt2 = f"""
You will be provided with text deilimited by triple quotes.
The given text is a podcast transcript.

Provide the host and guest name.
Summarize the transcript in to 10 points.

If there are any people referred in the transcript. Extract the people mentioned and list them along with some info about them in the following format
1. Person 1's Name: Person 1's profession or what he or she is known for or the context in which he or she was referred to.
2. Person 2's Name: Person 2's profession or what he or she is known for or the context in which he or she was referred to.
...
2. Person N's Name: Person N's profession or what he or she is known for or the context in which he or she was referred to.
If the transcript doesnt contain refereces to any people then simply write \"No people referred to in the conversation.\"

Extract the books mentioned and list them in the following format.
1. Book 1's Title: Context in which the book was referred to.
2. Book 2's Title: Context in which the book was referred to.
...
N. Book N's Title: Context in which the book was referred to.
If the transcript doesnt contain refereces to any books then simply write \"No books referred to in the conversation.\"

IF you find any inspiration quotoes complie them in to a list.

\"\"\"{long_text}\"\"\"
"""

response = client.chat.completions.create(
  model="gpt-4",
  messages=[
    {
      "role": "user",
      "content": prompt2
    }
  ],
  temperature=0.7,
  #max_tokens=64,
  #top_p=1
)

print(response.choices[0].message.content) Here is what the output I got: Result: Lex Freidman & Jeff Bezos Podcast Summary Can provide a service to podcasters to generate smart transcripts with insights. This would be a B2B play. AI PRODUCT IDEA ALERT 1: Instead of a service to podcast creators, it could be B2C customers who listen to podcasts and want to read through podcasts and create their own library of insights. AI PRODUCT IDEA ALERT 2: Expect both these ideas to be used by existing podcast hosting companies like Spotify & launch these ideas as new features. If I was a Product Manager in any such companies I would be pitching them by now. That’s it for day 5 of 100 Days of AI. Follow me on , for latest updates on 100 days of AI or & Check out Twitter LinkedIn bookmark this page Day 4: How to Use ChatGPT to be More Productive? Also published . here

100 Days of AI Day 5: Transcription and Extracting Insight from Podcasts with OpenAI

If you don’t know, I write a newsletter called Above Average, where I talk about the second-order insights behind everything that is happening in the big tech. If you are into tech and want to be above average, . subscribe to it I have always admired Scott Galloway's newsletter, No Mercy, No Malice. One unique thing Scott does with his newsletter is that he hired his friend George Hahn to convert the newsletter into a podcast, which is published every week in his podcast feed . here I don’t have a friend like George Hahn, but I know AI voices have become very life-like with recent advances. So I thought, why not convert my newsletter into a podcast? So, I played around and wrote a script to use Open AI’s text-to-speech API to convert my newsletter post into its audio version. To follow along and use this script, you need Open AI credits and an Open AI Secret Key. Here is the code I used. from openai import OpenAI


client = OpenAI()
client.api_key = 'YOUR SECRET KEY'
txt = """1/ Google is the dark horse in AI

Only Google can mess up a good thing multiple times. Google has struggled to play the perception game that has turned against it after the launch of ChatGPT and with Sathya’s offense on all things AI.

Google released an impressive Gemini AI preview series and the success lasted for two days. Before media started to observe that the demo is not so much as a demo but series of well constructed prompts. Or a series of good demos complied to one great demo.

This is obviously putting Google back again in the perception wars of AI. The keyword here is perception.

If everything is perception & marketing than nothing in the world will be a surprise. In case of Google in AI, don’t let the perception confuse you. Google is still the dark horse in AI. Google was talking about AI in every Pixel device launch since last 5 years while the tech industry and VCs were saying that Crypto is the next big thing.

The day to day news cycle exists to take your attention and make you click & confuse you. AI is a continuous innovation not a discontinuous one. Google has strong fundamentals in AI and the AI cycle is much longer than 12 months of ChatGPT. Google has shipped more AI products via Gmail, Google Search, Ads and most importantly Google Pixel than any other company. So just because Google has failed to market itself doesn’t mean its a loser in AI.

Google is still a dark horse in AI."""

response = client.audio.speech.create(
    model="tts-1",
    voice="onyx",
    input=txt,
)

response.stream_to_file("output.mp3") The newsletter post I took in this example is from . Here is the output . this edition result it generated The result was not as good as George Hahn’s voice, but it’s much better than most of the audio book out there. This idea can be expanded further to create a product that takes a new newsletter when published, converts it automatically to a podcast, and publishes it in the podcast feed. George Hahn as a Service. AI PRODUCT ALERT: That’s it for day 1 of AI. Follow me on for the latest updates on 100 days of AI or . Twitter bookmark this page Also published . here

100 Days of AI Day 1: From Newsletter to Podcast, Leveraging AI for Audio Transformation

OpenBB Podcast Transcript: Empowering Finance for All With Didier Lopes

When hearing about the behemoth " " podcasts may be among the last things to cross your imagination. After all, it's not hours-long, stuffed dialogues that get the viewer through a dozen various emotions that fueled the platform's unmatched popularity and catapulted it among the top apps with the most considerable penetration rates. TikTok The short-form videos condensed the whole meaning and purpose of the piece of content in a matter of sentences and hooked users by delivering information in the most straightforward and captivating ways. Through its appeal and mainstreamness, TikTok can reach more than adults monthly. It sees its popularity going nowhere anytime soon, especially now that podcasters are getting a taste of the benefits it can deliver. 1 billion TikTok has lately embraced new purposes and become a thriving ecosystem for podcasters to have a louder voice and connect with the categories of internet users they're targeting. And because of Monolith, the large-scale, real-time recommendation system embedded in TikTok's algorithm made it such a reliable platform for those desiring content tailored to their needs and preferences, podcasters or aspiring podcasters can conduct their work with more support. And as seasoned podcasters are well aware, the journey to a thriving audience involves a multifaceted strategy. TikTok, coupled with niche tools and services designed to , excels beyond compare among social media platforms. help content creators in their quest for audience growth So, how can a platform designed and aggrandized for briefly summarized content become such a haunted tool for the opposite type of video? And what are some examples of world-famous podcasters who nailed it? Gen Z looks at podcasts as a leading source of information. Gen Z unearths fresh podcasts at a speed rate incomparable with any other generation, being the first ones flocking to the platform and slowly leaving others such as heavyweight Facebook and Instagram behind. Longing for a piece of the pie represented by the booming popularity of TikTok podcast viewing, quick-on-the-uptake platforms have mobilized in their attempt to meet the changing demands of this growing watcher category through features and options similar to those of TikTok. Spotify, the most revered music platform at the moment, has long expanded beyond its initial scope of allowing independent artists in their developmental stages and giant record labels to upload content, fairly paying each contributor for their share. Spotify is now a platform where podcasters are at home, and more and more look to it to boost their content's popularity and reach. Yet, it's premature and rushed to claim that Spotify will go as far as TikTok succeeded in the podcast game and build such a kingdom. Podcast creators are migrating to TikTok for its unparalleled potential Creators can use numerous ways to promote their channels and content on TikTok. Probably one of the most straightforward and accessible methods is to take the route of comments. That section allows users to share their thoughts, which often take the form of means to make one's digital offerings acknowledged. Undoubtedly, TikTok couldn't have made it among the myriad platforms aimed at publicizing podcasts without a specifically designed feature. In light of an increasingly refined user base, the " " section is precisely what a podcaster or any other type of long-format content creator needs to grow their following and gain notoriety based on their exact type of content. This focal point of the platform wins organic growth for any type of podcaster because it recommends videos after analyzing the user interests instead of how large the account's following is. Genuine effort is at play here! Those searching for videos on human evolution shouldn't be obscured by content speculating on the world's state a century from now. For Your Feed Celebrity Memoirs Book Club – one of the most successful stories to look to With over 305k followers at the moment and a growing cohort of viewers familiar with this podcast, Celebrity Memoirs Book Club has grown from serving a small user base of several hundred to a score that doesn't stop rising. This weekly podcast began over three years ago and has built a passionate following ever since on their platform. What fueled its ascension to popularity are the topics approached, serving as a fantastic means to help those with tight schedules learn the highlights in the celebrity world. After all, who wouldn't want to skip the part where they consume endless hours of content just to extract an essential that could have otherwise been delivered more succinctly and less boringly? Not to mention the pandemic of deceptive clickbait and misleading headlines that are the bane of today's online world. Celebrity Memoirs Book Club is the channel where today's internauts repelled by lengthy memoirs can elevate their knowledge about celebrities, famous individuals, and everything noteworthy. By looking at the hosts' ways of delivering their message and having watchers glued to their displays, more podcasters aspiring to achieve tremendous fame can take their efforts to the next level. Diary of a CEO – another example of a well-done job For the business world has always been one of the hottest (and most complex) topics; having interested parties wrap their heads around it, the podcasters approaching this topic in the savviest and cleverest ways are on the path to achieving unmatched success. Diary of a CEO is where collections abounding in wisdom catch the interest of individuals of any age category. The hosts approach subjects of both failure and triumph, making viewers feel empowered and optimistic about their future. There's something inescapable about content that tackles the ins and outs of such a complex topic and shades light on the most intricate aspects, whether it's about how the or how everyone can tap into their unearthed persuasive talker. rich evade taxes The wrap-up TikTok, conceived with the exact opposite thought in mind rather than dishing out minutes-long videos, has managed to meet more than its original purpose. Now, podcasters find a great ally in its technology and potential, and users flock from different podcast-based platforms to their competitor, TikTok, for numerous reasons, whether it’s the pursuit of entertainment or a thirst for education.

TikTok's Podcast Revolution: A Surprising Ally for Creators and Audiences

Been a while... 👀 It's been a minute, hasn't it? I've been...busy, but I'm back with something that I think you'll find both useful and intriguing. While I was away, I stumbled upon a nifty trick that involves swapping Docker for in on VS Code. This isn't a step-by-step guide; it's more like sharing a cool discovery I made. So, let's get to it! Podman DevContainers A Quick Refresher on DevContainers 🏝 If you're new to the concept, DevContainers in VS Code are a way to containerize your development environment. This ensures that your setup is both portable and consistent, effectively eliminating the "it works on my machine" syndrome. Think of DevContainers as your very own or , but without needing the cloud. It's like having a sandbox, but your computer is the playground. You get to build your castles in an isolated space, keeping the rest of your system pristine. Codespace Gitpod The Podman Appeal 🎸 Switching gears to Podman, why would you want to replace Docker? Imagine Docker as the old, reliable minivan. It gets the job done, but it's not the sleekest. Podman is like the electric car that just rolled off the assembly line efficient, user-friendly, and secure. Docker has been the go-to containerization tool for years, but Podman is emerging as a strong alternative. Podman offers a few advantages: : Run containers without needing root privileges, enhancing security. . Rootless Containers Learn more about rootless containers : Better integration with Linux's init system, . For Linux users, this is a significant benefit. Podman's compatibility with offers better process management and orchestration. . Systemd Integration systemd systemd Learn more about systemd : Fully compatible with standards. Podman is , which means it adheres to industry standards for container images, making it easier to switch between different container technologies. . Follows Open Standards Open Container Initiative (OCI) OCI-compliant Learn more about OCI So, if you're looking to break free from Docker's grasp, Podman is worth considering. The Challenge: VS Code Loves Docker Here's the hiccup: VS Code's DevContainers extension is tightly coupled with Docker. When you try to use Podman, VS Code throws a fit and keeps asking you to install Docker. That's the issue we're going to solve today. The Solution: Trick VS Code with a Shell Script macOS Step 1: Install Podman First things first, you'll need to install Podman. On a Mac, you can use : Homebrew brew install podman Step 2: Initialize and Start Podman Machine Before using Podman, you need to initialize and start a Podman machine: podman machine init
podman machine start Step 3: Create a Shell Script VS Code is looking for a command named . We'll give it what it wants, but we'll secretly redirect it to . docker podman Create a new shell script and name it : docker sudo nano /usr/local/bin/docker In the script, add the following lines: #!/bin/bash
exec podman "$@" Save the file and exit the text editor. Step 4: Make the Script Executable Now, make the script executable: sudo chmod +x /usr/local/bin/docker Step 5: Restart VS Code Close and reopen VS Code to apply the changes. It should now be none the wiser, happily using Podman instead of Docker. Linux Step 1: Install Podman Open your terminal and run the following command to install Podman: sudo apt install -y podman Steps 2-5: Follow the same steps as for macOS Windows Step 1: Install Podman for Windows Download and install Podman from the . official site Step 2: Create a Batch File Create a batch file named to act as an alias for Podman: docker.bat @echo off
podman %* Place this batch file in a directory that's in your system's . PATH Option 1: Use an Existing Directory in PATH Open a Command Prompt and type to see the directories currently in your . echo %PATH% PATH Choose an existing directory that you have write access to, such as . C:\Users\YourUsername\bin Save or move your file into that directory. docker.bat Option 2: Create a New Directory and Add It to PATH Create a new directory where you want to store your batch files. For example, . C:\batch_files Move your file into this new directory. docker.bat To add this directory to your , right-click on 'This PC' or 'Computer' on your desktop or File Explorer, and choose . PATH Properties On the left-hand side, click on . Advanced system settings Click on the button near the bottom right. Environment Variables Under the 'System variables' section, find and select the variable, then click on . Path Edit Click on and add the path to your new directory, . New C:\batch_files Click on all the dialog boxes to save your changes. OK Verify the Setup To verify that the batch file is accessible: Open a new Command Prompt window (important, as existing windows won't pick up the change). Type and hit Enter. If everything is set up correctly, this should now execute Podman due to the aliasing in your file. docker docker.bat By following these steps, you ensure that the batch file is in a directory listed in your , making it accessible from any command prompt window. PATH Step 3: Restart VS Code Close and reopen VS Code to apply the changes. Wrapping Up There you have ita Podman-powered DevContainer in VS Code, right on your local machine. It's like having a VIP pass to a more secure and efficient coding environment. Whether you're a newcomer or a seasoned developer, I hope you find this as useful as I did. So go ahead, give Podman a spin, and bring a little more freedom to your containerized development environments. Bye! Also published . here

Empowering Your DevContainer with Podman in VS Code

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