Data Science at Home

In this captivating podcast episode, join renowned financial expert Chris Skinner as he delves into the fascinating realm of the future of money. From cryptocurrencies to government currencies, the metaverse to artificial intelligence (AI), Skinner explores the intricate interplay between technology and humanity. Gain valuable insights as he defines the future of money, examines the potential impact of cryptocurrencies on traditional government currencies, and addresses the advantages and disadvantages of digital currencies. Delve into the complex issues of regulation and governance in the context of emerging financial technologies, and discover Skinner's unique perspective on the metaverse and its implications for the future of money and technology. Brace yourself for an enlightening discussion on the integration of AI in the financial sector and its potential impact on humanity. Tune in to explore the cutting-edge concepts that shape our financial landscape and get a glimpse of what lies ahead.   You can read about Chris at https://thefinanser.com/   Sponsors This episode is sponsored by Setapp.  Setapp is a platform that combines 230+ powerful MacOS and iOS apps and tools under one $9.99 subscription. Their selection of apps is mostly helpful for people who use their Macs as an actual working tool, covering complete use cases like coding, designing, project and time management and so on. Once subscribed, you get full access to paid features of the apps, as well as to new apps that are being constantly added. So you’ll always be sure you’re not missing out on any cool apps and services that actually help you do your work more efficiently for just a fraction of the price. Get 7 days for free at https://stpp.co/dsat  

Renowned AI expert Filip Piekniewski, PhD, challenges AI hype and exposes misconceptions about AGI. They discuss the real-world implications of AI advancement, emphasizing fact over fiction. Topics include dangers of models generating their own data, role of human feedback in reinforcement learning, and limitations of AI language models in software engineering. They also explore the changing tactics of cyber criminals and express skepticism towards the current wave of AI. The podcast concludes with discussions on the challenges of building control systems for AI and potential dangers of large language models.

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!

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

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    

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  

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  

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  

Explore the world of prompt engineering and its potential in language models. Learn how prompt engineering improves performance and understanding of context. Discover chain of thought prompting and its evolution for complex tasks. Unlock language models with retrieval augmented generation and tree of potential sequences. Enhance model performance with multimodal COT prompting.

The erosion of software architecture quality and the impact of AI-powered code generation are discussed. Different types of software architectures and methods of connecting objects throughout history are explored. The relationship between code size, development velocity, and bug introduction is examined. The risks of bugs in code generated by automated tools utilizing large language models are highlighted.