It's not all firewalls and technical fixes.

Here's why shaping the future of AI comes down to soft skills, cultural awareness, and actually showing up for the conversation.

Call your rep, use your voice, because any regulation is better than none 🗣️

#shorts #saturdata #data #AIregulation #AIgovernance #TechPolicy #futureofAI

What happens when you train an evil AI and it just lies really confidently? Joey Yudelson (https://www.linkedin.com/in/joseph-yudelson/), AI safety researcher at Redwood Research, joins Sam and Shifra to break down why 300 people standing between us and a catastrophic AI future might not be enough, and what data folks can actually do about it.

We talk about:

- Taxonomies of AI risk (silly vs. not silly, yes this is a real framework)

- Why the evil AI wrote 30 paragraphs insisting its buggy code was perfect

- Global AI regulation and who's actually doing a good job (hint: it's the EU)

- How to use Claude agents like a multiplayer cheat code

- Why you personally could make a dent in AI safety research

Follow Saturdata, your favorite weekend data podcast

Spotify: https://open.spotify.com/show/5QolhKm1jDZzVuHO0S9ZBo?si=910efb23833f4fc1

LinkedIn: https://www.linkedin.com/company/saturdata

Instagram: @SaturdataPod

#Saturdata #AISafety #DataScience #MachineLearning

Chapters:

0:00 - Intro

0:57 - Joey's origin story: from high school Yudkowsky reader to full-time AI safety researcher

3:42 - A guided tour of the AI safety landscape

6:14 - Where Joey fits in the puzzle: model organisms and misalignment research

7:28 - The evil AI that wrote 30 paragraphs insisting its buggy code was perfect

10:55 - Deep in the lab vs. everyday AI user: how different are they really?

13:42 - The knowledge lag: why comedians are still calling AI "smart autocomplete"

17:24 - Taxonomies of risk: silly vs. not silly (yes, water use is on the table)

22:02 - Being a responsible AI user: what data folks can actually do

28:32 - How LLMs actually work, explained with a very talented dog named Jeeves

33:11 - Joey's lifelong vendetta against SQL (and how he gets away with it)

36:59 - Three rules for getting real value out of AI agents without losing your mind

42:48 - Why you personally could make a dent in AI safety (and the case for Talmudic AI research)

45:20 - Takeaways and outro

Claude Opus is probably a better coder than you, and Joey isn't sugarcoating it. Instead of writing code line by line, the real move could be writing design docs and letting a fleet of AI agents do the heavy lifting.

The biggest mistake is assuming AI will always look the way it does right now

#shorts #saturdata #data #AI #claudeai #futureofwork #techtrends

Ever wondered how ChatGPT actually works? Joey breaks it down in the most hilarious way possible, and honestly, we'll never think about reinforcement learning the same way again. Train it right and it fetches you a beer.

Train it wrong and it wants to pee on your friend Dave's foot. The science checks out. 🍺🤣

#reels #saturdata #data #AI #machinelearning #ChatGPT #techexplained

What if you could explain ChatGPT using only a dog, some audiobooks, and a stick? Joey Yudelson joins Sam and Shifra to break down how large language models actually work, no PhD required. From next-word prediction to reinforcement learning, this one will make you feel like you actually get it.

We talk about:

- How LLMs learn to "speak human" by predicting the next word

- What reinforcement learning actually does (and why your model needs a stick sometimes)

- Why RLHF is basically dog training at a bazillion scale

- Spurious correlations and how models learn the wrong lessons

- What it really means when an AI "has a persona"

Follow Saturdata, your favorite weekend data podcast:

Spotify: https://open.spotify.com/show/5QolhKm1jDZzVuHO0S9ZBo?si=910efb23833f4fc1

LinkedIn: https://www.linkedin.com/company/saturdata

Instagram: @SaturdataPod

#Saturdata #MachineLearning #ChatGPT #LLM

"The entire field of AI safety is run by roughly 300 to 400 people worldwide, and that number is wild when you think about how fast AI capabilities are moving. Joey thinks YOU could be one of the people making real technical contributions here, no PhD required. Check out MATS, Astra, or Spar to get started 👇

MATS: https://www.matsprogram.org/

Astra: https://constellation.org/programs/astra

Spar: https://sparai.org/

#shorts #saturdata #data #AIsafety #AIresearch #futureofAI #tech"

AI regulation is a tug-of-war right now, with states like California and New York pushing for transparency, deepfake protections, and actual liability for AI companies causing massive harm.

Meanwhile, the federal government isn't exactly rushing to the table, especially with big VC money influencing the conversation. Joey breaks down why state-level wins matter more than ever right now. 👀

#shorts #saturdata #data #AIregulation #TechPolicy #AILaw #statevsfederal

Not all spaghetti code is created equal!

Sam and Shifra break down how data spaghetti goes beyond bad practices into pipelines that only work once, for one dataset, on one very specific Tuesday. From ravioli to tortellini, every engineering role has its own pasta shape of chaos. 🍝

#shorts #saturdata #data #dataengineering #spaghetticode #codinghumor #datapipeline

Is your Python code held together with duct tape and prayers? Sam and Shifra untangle the spaghetti and walk you through what it actually means to write clean, maintainable data code, and which tools will get you there. From the humble origins of Pandas to the blazing speed of Polars and the SQL simplicity of DuckDB, this episode is your guide to leveling up without burning down your codebase.

🌊 Check out the deep dive here: https://youtu.be/htGazioOVvM

We talk about:

- What spaghetti code actually is (and why we've all written it)

- The real limitations of Pandas at scale (single threading, row storage, and bloated data types)

- One-line bolt-on fixes with PyArrow and NVIDIA RAPIDS cuDF

- Why Polars feels like the dplyr of Python

- What makes DuckDB the SQLite for analytics

- Polars vs DuckDB: how to pick the right tool for your team

- Future you is a different person, and other habits of engineers who sleep at night

Follow Saturdata, your favorite weekend data podcast:

Spotify: https://open.spotify.com/show/5QolhKm1jDZzVuHO0S9ZBo?si=910efb23833f4fc1

LinkedIn: https://www.linkedin.com/company/saturdata

Instagram: @SaturdataPod

#Saturdata #Pandas #Polars #DuckDB #DataEngineering

Chapters:

0:00 - Intro

0:47 - The spaghetti code confession

3:23 - All the pasta shapes of bad code

5:14 - Trial by fire: how you actually learn to write good code

8:34 - The pandas origin story

12:19 - What's wrong with pandas (we still love you though)

17:48 - The PyArrow bolt-on: a one-line glow-up

21:51 - GPU-powered dataframes with RAPIDS cuDF

25:15 - Running out of RAM and spilling the tea

31:22 - Enter Polars: the polar bear to pandas' panda

42:14 - DuckDB: the cute duck who does SQL fast

50:24 - So which tool should you actually use?

56:46 - Future you is a different person: tips for writing better code

59:16 - Comment the why, not the what

Most data pipelines just crash when they run out of GPU memory, and that's where the work stops.

Shifra breaks down how RAPIDS cuDF handles overflow by spilling excess data from the GPU to the CPU automatically, so your pipeline keeps running no matter how big the dataset gets.

This is the kind of infrastructure awareness that levels up your entire data game

#shorts #saturdata #data #GPU #dataengineering #RAPIDS #MLinfrastructure