Ever feel like VC advice is all over the place? That’s because it is. In this episode, I expose the madness behind the money and how to navigate their confusing advice!

Watch the video at https://youtu.be/IBrPFyRMG1Q

Subscribe to our new Youtube channel https://www.youtube.com/@DataScienceatHome 

00:00 - Introduction

00:16 - The Wild World of VC Advice

02:01 - Grow Fast vs. Grow Slow

05:00 - Listen to Customers or Innovate Ahead

09:51 - Raise Big or Stay Lean?

11:32 - Sell Your Vision in Minutes?

14:20 - The Real VC Secret: Focus on Your Team and Vision

17:03 - Outro

Can AI really out-compress PNG and FLAC? 🤔 Or is it just another overhyped tech myth? In this episode of Data Science at Home, Frag dives deep into the wild claims that Large Language Models (LLMs) like Chinchilla 70B are beating traditional lossless compression algorithms. 🧠💥

But before you toss out your FLAC collection, let's break down Shannon's Source Coding Theorem and why entropy sets the ultimate limit on lossless compression.

We explore: ⚙️ How LLMs leverage probabilistic patterns for compression 📉 Why compression efficiency doesn’t equal general intelligence 🚀 The practical (and ridiculous) challenges of using AI for compression 💡 Can AI actually BREAK Shannon’s limit—or is it just an illusion?

If you love AI, algorithms, or just enjoy some good old myth-busting, this one’s for you. Don't forget to hit subscribe for more no-nonsense takes on AI, and join the conversation on Discord!

Let’s decode the truth together.

Don't forget to subscribe to our new YouTube channel 

https://www.youtube.com/@DataScienceatHome

References

Have you met Shannon? https://datascienceathome.com/have-you-met-shannon-conversation-with-jimmy-soni-and-rob-goodman-about-one-of-the-greatest-minds-in-history/

Are AI giants really building trustworthy systems? A groundbreaking transparency report by Stanford, MIT, and Princeton says no. In this episode, we expose the shocking lack of transparency in AI development and how it impacts bias, safety, and trust in the technology. We’ll break down Gary Marcus’s demands for more openness and what consumers should know about the AI products shaping their lives.

Check our new YouTube channel https://www.youtube.com/@DataScienceatHome and Subscribe! 

Cool links

1. https://mitpress.mit.edu/9780262551069/taming-silicon-valley/

We're revisiting one of our most popular episodes from last year, where renowned financial expert Chris Skinner explores the future of money. In this fascinating discussion, Skinner dives deep into cryptocurrencies, digital currencies, AI, and even the metaverse. He touches on government regulations, the role of tech in finance, and what these innovations mean for humanity.

Now, one year later, we encourage you to listen again and reflect—how much has changed? Are Chris Skinner's predictions still holding up, or has the financial landscape evolved in unexpected ways? Tune in and find out!

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary!

• Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.

🔗 Links Mentioned in the Episode:

1. Generative AI for time series: TimeGPT Documentation

And finally, don't miss Konrad's Substack for more nerdy goodness! (If you're there already, be there again! 😄)

In this episode we delve into the dynamic realm of game development and the transformative role of artificial intelligence (AI).

From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment!

• Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.

• https://mikeyoung44.itch.io/spacefreighter - Itch.io link to play the game

In this episode, we dive into the wild world of Large Language Models (LLMs) and their knack for… making things up. Can they really generalize without throwing in some fictional facts? Or is hallucination just part of their charm?

TL;DR;

LLM Generalisation without hallucinations. Is that possible?

References

https://github.com/lamini-ai/Lamini-Memory-Tuning/blob/main/research-paper.pdf

https://www.lamini.ai/blog/lamini-memory-tuning

The hype around Generative AI is real, but is the bubble about to burst?

References

• http://garymarcus.com/index.html

In this insightful episode, we dive deep into the pressing issue of data privacy, where 86% of U.S. consumers express growing concerns and 40% don't trust companies to handle their data ethically.

• Intrepid AI (https://intrepid.ai) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months

References

• https://www.metarouter.io/post/mastering-data-governance-why-governance-at-the-point-of-collection-is-a-must-have 

Join us as David Marom, Head of Panoply Business, explores the benefits of all-in-one data platforms.

• Arctic Wolf Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience

References

1. Connect and analyze ALL of your data https://panoply.io/

Blog: The Transformative Power of an All-in-One Data Platform

Whitepaper: Eradicating Platform Inefficiencies