Data Science at Home

A nostalgic dive into the rise and fall of true hacker culture - from MIT's curious tinkerers to today's hustle-obsessed "founders." Plus, why IRC was peak internet and what we lost when convenience killed community. For anyone who misses when coding was about elegance, not exits.RetryClaude can make mistakes. Please double-check responses.

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https://www.twitch.tv/tsoding/about

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DSH is proudly spon...

We were promised robot butlers and got Roombas that cry under the couch. In this brutally honest (and slightly hilarious) episode, Francesco dives into why the robot revolution fizzled, why your dishwasher still needs you, and how robotics became more YouTube circus than household helper. Spoiler: It's not the tech – it's us.

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DSH is proudly sponsored by Amethix Technologies. At the intersection of ethics and e...

The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone.

We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockchain déjà vu to the "ChatGPT wrapper" economy—this episode will make you ...

From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing

here are my thoughts about AI replacing programmers...

🎙️ Sponsors

• AGNTCY — The open source collective building the Internet of Agents 🌐 https://www.agntcy.org

In this episode of Data Science at Home, we explore the fascinating world of neuromorphic computing — a brain-inspired approach to computation that could reshape the future of AI and robotics. The episode breaks down how neuromorphic systems differ from conventional AI architectures like transformers and LLMs, diving into spiking neural networks (SNNs), their benefits in energy efficiency and real-time processing, and their...

This episode explores the invisible battlespace of cyber and electronic warfare, where AI takes center stage. From autonomous hacking bots to smart jamming and adversarial attacks on machine learning models, we uncover how modern conflicts are increasingly fought with code, not bullets — and why the future of warfare may be decided by algorithms.

Building multi-agent software is hard — agent-to-...

Swarming the Battlefield explores how artificial intelligence is revolutionizing combat through coordinated drone swarms. We dive into the algorithms that enable autonomous collaboration, from decentralized decision-making to real-time target allocation, and examine real-world implementations shaping modern battle strategies. This episode uncovers how these intelligent agents turn the chaos of the battlefield into a synch...

In this gripping follow-up, we dive into how AI is transforming kinetic operations—from identifying a threat to executing a strike.

🔍 Highlights from this episode:

• How AI compresses the OODA loop (Observe, Orient, Decide, Act)

• The spectrum of autonomy: human-on-the-loop vs. human-out-of-the-loop

• Real-world systems like loitering munitions (Switchblade, Harpy) and Selective Ground Response AI (SGR-AI)

• The ethical and le...

Welcome to DSH/Warcoded

We explore how AI is transforming ISR (Intelligence, Surveillance, Reconnaissance)—from satellite imagery to drone feeds. In this episode:

🔍 Computer vision for target ID 📡 Predictive surveillance & pattern-of-life modeling 🧠 LLMs for SIGINT & OSINT intelligence briefings 🌍 Real-world examples: Ukraine, Gaza & more

Listen now and see how machines are learning to see, predict, and infor...

🎙️ In this episode of Data Science at Home, we sit down with Kenny Vaneetvelde, the mastermind behind Atomic Agents, a groundbreaking framework redefining AI development.

🔍 Discover how atomicity simplifies complex AI systems, why modularity matters more than ever, and how Atomic Agents is eliminating hidden assumptions and redundant complexity in AI workflows.

AI shouldn’t be limited to those with access to expensive hardware. This episode explores how to break down barriers by running massive AI models on "crappy machines"—affordable, low-spec devices. Clever techniques like quantization, pruning, model distillation might not be enough.

With edge offloading, we can make state-of-the-art AI accessible to hobbyists, researchers, and innovators everywhere.

Is DeepSeek the next big thing in AI? Can OpenAI keep up? And how do we truly understand these massive LLMs?

Enter WeightWatcher—the AI detective tool that peeks inside neural networks without needing their data.

In this episode, we chat with its creator, Dr. Charles Martin, to uncover what makes LLMs tick, the hidden patterns inside models like GPT-4 and DeepSeek, and whe...

From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing

here are my thoughts about AI replacing programmers...

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📩 Newsletter: https://datascienceathome.substack.com

🎙 Podcast: Av...

In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights on scaling data-driven businesses, integrating machine learning frameworks, and navigating the rapidly evolving landscape of cloud data architecture. ...

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AI is revolutionizing the military with autonomous drones, surveillance tech, and decision-making systems. But could these innovations spark the next global conflict? In this episode of Data Science at Home, we expose the cutting-edge tech reshaping defense—and the chilling ethical questions that follow. Don’t miss this deep dive into the AI arms race!

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In this episode of Data Science at Home, we’re diving deep into the powerful strategies that top AI companies, like OpenAI, use to scale their systems to handle millions of requests every minute! From stateless services and caching to the secrets of async processing, discover 8 essential strategies to make your AI and machine learning systems unstoppable. Whether you're working with traditional ML models or large LLMs, these techni...

In this episode of Data Science at Home, host Francesco Gadaleta dives deep into the evolving world of AI-generated content detection with experts Souradip Chakraborty, Ph.D. grad student at the University of Maryland, and Amrit Singh Bedi, CS faculty at the University of Central Florida. 

Together, they explore the growing importance of distinguishing human-written from AI-generated text, discussing real-world examples from social...

Welcome to Data Science at Home, where we don’t just drink the AI Kool-Aid. Today, we’re dissecting Sam Altman’s “AI manifesto”—a magical journey where, apparently, AI will fix everything from climate change to your grandma's back pain. Superintelligence is “just a few thousand days away,” right? Sure, Sam, and my cat’s about to become a calculus tutor.

In this episode, I’ll break down the bold (and often bizarre) claims in Altma...

In this episode of Data Science at Home, we dive into the hidden costs of AI’s rapid growth — specifically, its massive energy consumption. With tools like ChatGPT reaching 200 million weekly active users, the environmental impact of AI is becoming impossible to ignore. Each query, every training session, and every breakthrough come with a price in kilowatt-hours, raising questions about AI’s sustainability.

Join us, as we uncove...