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Data Science at Home — Podcasting
Data Science at Home

Cutting through AI bullsh*t.
Come join the discussion on Discord!
https://discord.gg/4UNKGf3

Copyright: © Copyright 2021 datascienceathome.com All rights reserved.

Latest Episodes:

Debunking AGI Hype and Embracing Reality [RB] (Ep. 245) Dec 04, 2023

Show notes

In this thought-provoking episode, we sit down with the renowned AI expert, Filip Piekniewski, Phd, who fearlessly challenges the prevailing narratives surrounding artificial general intelligence (AGI) and the singularity. With a no-nonsense approach and a deep understanding of the field, Filip dismantles the hype and exposes some of the misconceptions about AI, LLMs and AGI.
Join us as we delve into the real-world implications of AI, separating fact from fiction, and gaining a firm grasp on the tangible possibilities of AI advancement.
If you're seeking a refreshingly pragmatic perspective on the future of AI, this episode is an absolute must-listen.

Filip Piekniewski Bio

Filip Piekniewski is a distinguished computer vision researcher and engineer, specializing in visual object tracking and perception. He approaches machine learning with a pragmatic mindset, recognizing its current limitations. Filip earned his Ph.D. from Warsaw University, where he explored neuroscience and later joined Brain Corporation in San Diego. His extensive study of neuroscience inspired him to develop innovative, bio-inspired machine learning architectures. Filip's unique blend of scientific curiosity and software engineering expertise allows him to quickly prototype and implement new ideas. He is known for his realistic perspective on AI, debunking AGI hype and focusing on tangible advancements.

Sponsors

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Explore the Complex World of Regulations. Compliance can be overwhelming. Multiple frameworks. Overlapping requirements. Let Arctic Wolf be your guide.
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Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.

References

https://twitter.com/filippie509
http://blog.piekniewski.info/ (On limits of deep learning and where to go next with AI.)

Destroy your toaster before it kills you. Drama at OpenAI and other stories (Ep. 244) Dec 01, 2023

Show notes

Brace yourselves, dear friends!
In this episode, we delve into the earth-shattering revelation that OpenAI might have stumbled upon AGI (lol) and we're all just seconds away from being replaced by highly sophisticated toasters (lol lol).
Spoiler alert: OpenAI's CEO is just playing 7D chess with the entire human race. So, sit back, relax, and enjoy this totally not ominous exploration into the 'totally not happening' future of AI!

The AI Chip Chat 🤖💻 (Ep. 243) Nov 20, 2023

Show notes

Dive into the cool world of AI chips with us! 🚀 We're breaking down how these special computer chips for AI have evolved and what makes them different. Think of them like the superheroes of the tech world!

Don't miss out! 🎙️🔍 #AIChips #TechTalk #SimpleScience

Rolling the Dice: Engineering in an Uncertain World (Ep. 242) Nov 09, 2023

Show notes

Hey there, engineering enthusiasts! Ever wondered how engineers deal with the wild, unpredictable twists and turns in their projects? In this episode, we're spilling the beans on uncertainty and why it's the secret sauce in every engineering recipe, not just the fancy stuff like deep learning and neural networks!

Join us for a ride through the world of uncertainty quantification. Tune in and let's demystify the unpredictable together! 🎲🔧🚀

References

https://www.osti.gov/servlets/purl/1428000

https://arc.aiaa.org/doi/pdf/10.2514/6.2010-124

https://arxiv.org/pdf/2001.10411

How Language Models Are the Ultimate Database(Ep. 241) Oct 22, 2023

Show notes

In this episode, dive deep into the world of Language Models as we decode their intricate structure, revealing how these powerful algorithms exploit concepts from the past.

But... what if LLMs were just a database?

References

https://fchollet.substack.com/p/how-i-think-about-llm-prompt-engineering

Elon is right this time: Rust is the language of AI (Ep. 240) Oct 09, 2023

Show notes

In this episode, I delve into Elon Musk's foresight on the future of AI as he champions Rust programming language.
Here is why Rust stands at the forefront of AI technology and the potential it holds.

References

https://github.com/WasmEdge/mediapipe-rs

https://blog.stackademic.com/why-did-elon-musk-say-that-rust-is-the-language-of-agi-eb36303ce341

Attacking LLMs for fun and profit (Ep. 239) Sep 18, 2023

Show notes

As a continuation of Episode 238, I explain some effective and fun attacks to conduct against LLMs. Such attacks are even more effective on models served locally, that are hardly controlled by human feedback.

Have great fun and learn them responsibly.

References

https://www.jailbreakchat.com/

https://www.reddit.com/r/ChatGPT/comments/10tevu1/new_jailbreak_proudly_unveiling_the_tried_and/

https://arxiv.org/abs/2305.13860

Unlocking Language Models: The Power of Prompt Engineering (Ep. 238) Sep 11, 2023

Show notes

Join me on an enlightening journey through the world of prompt engineering. Explore the multifaceted skills and strategies involved in harnessing the potential of large language models for various applications. From enhancing safety measures to augmenting models with domain knowledge, learn how prompt engineering is shaping the future of AI.

References

Erosion of Software Architecture Quality in the Age of AI Code Generation (Ep. 237) Aug 30, 2023

Show notes

In this era of AI-powered code generation, software architects are facing a concerning decline in the quality of their creations. The once meticulously crafted software architectures are now being compromised. Should LLMs be responsible?

References

Program Design in the UNIX Environment
https://harmful.cat-v.org/cat-v/unix_prog_design.pdf

The new dimension of AI: Vector Databases (Ep. 236) Aug 17, 2023

Show notes

Let's delve into the emerging trend in database design – or is it really a new trend?
The realm of vector databases and their revolutionary influence on AI and ML is making headlines.
Come along as we investigate how these groundbreaking databases are revolutionizing the landscape of data storage, retrieval, and processing, ultimately unlocking the complete potential of artificial intelligence and machine learning.
But are they genuinely as innovative as they seem?

References

https://partee.io/2022/08/11/vector-embeddings/

https://blog.det.life/why-you-shouldnt-invest-in-vector-databases-c0cd3f59d23c

https://medium.com/@ryanntk/choosing-the-right-embedding-model-a-guide-for-llm-applications-7a60180d28e3

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