AIandBlockchain

30 hours of nonstop work without losing focus. Leading OSWorld with 61.4%. SWE-bench Verified — up to 82% in advanced setups. And all that — at the exact same price as Sonnet 4. Bold claims? In this episode, we cut through the hype and break down what’s really revolutionary about agent AI. 🧠 You’ll learn why long-form coherence changes the game: projects that once took weeks can now shrink into d...

🤖📉 We all feel it: AI is transforming office work. But the usual indicators — hiring stats, GDP growth, tech adoption — always lag behind. They tell us what already happened , not what’s happening right now . So how do we predict how deeply AI will reshape the job market before it happens? In this episode, we break down one of the most ambitious and under-the-radar studies of the year — the GDP...

Imagine a robot that doesn’t just follow your commands but actually thinks , analyzes the situation, and corrects its own mistakes. Sounds like science fiction? In this episode, we break down the revolution in general-purpose robotics powered by Gemini Robotics 1.5 — GR 1.5 and GRE 1.5 . 🔹 What does this mean in practice? Robots now think in human language — running an inner dialogue, writing dow...

Imagine this paradox: compute power for training AI models is growing 4× every year, yet the pool of high-quality data barely grows by 3%. The result? For the first time, it’s not hardware but data that has become the biggest bottleneck for large language models. In this episode, we explore what this shift means for the future of AI. Why do standard scaling approaches—like just making models bigge...

What if everything you thought you knew about training large language models turned out to be… not quite right? 🤯 In this episode, we dive deep into a topic that could completely change the way we think about LLM training. We’re talking about batch size — yes, it sounds dry and technical, but new research shows that tiny batches, even as small as one , don’t just work — they can actually bring ma...

Imagine this: a 27B language model outperforming giants with 340B and even 671B parameters. Sounds impossible? But that’s exactly what happened thanks to breakthrough research in generative reward modeling . In this episode, we unpack one of the most exciting advances in recent years — Self-Principled Critique Tuning (SPCT) and the new DeepSeek GRM architecture that’s changing how we think about t...

What if there were a way to cut through the endless loop of mutual reasoning — “I think that he thinks that I think”? In this episode, we explore one of the most elegant and surprising breakthroughs in game theory and AI. Our guide is a recent paper by Cole Wyth, Marcus Hutter, Jan Leike, and Jessica Taylor, which shows how to use reflective oracles to finally crack a decades-old puzzle — the grai...

What if artificial intelligence stopped just guessing answers — and started to actually think ? 🚀 In this episode, we dive into one of the most talked-about breakthroughs in AI — Seed 1.5 Thinking from ByteDance . This model, as its creators claim, makes a real leap toward genuine reasoning — the ability to deliberate, verify its own logic, and plan before responding. Here’s what we cover: How th...

What do you do when AI stops making mistakes?.. Today's episode takes you to the cutting edge of artificial intelligence — where success itself has become a problem. Imagine a model that solves almost every math competition problem. It doesn’t stumble. It doesn’t fail. It just wins. Again and again. But if AI is now the perfect student... what’s left for the teacher to teach? That’s the crisis...

🎯 What if a language model could not only write working code, but also make already optimized code even faster ? That’s exactly what the new research paper Algotune explores. In this episode, we take a deep dive into the world of AI code optimization — where the goal isn’t just to “get it right,” but to beat the best . 🧠 Imagine taking highly tuned libraries like NumPy , SciPy , NetworkX — and a...

Ready to discover what's  really  hiding behind the curtain of the world's most anticipated AI? 🤖 The new GPT-5 from OpenAI is here, and it's smarter, more powerful, and faster than anything we've seen before. But the critical question on everyone's mind is: can we truly trust it? With every new technological leap, the stakes get higher, and the line between incredible potential and real-world ri...

Artificial intelligence is evolving at a staggering pace, but the real story isn't in the headlines—it's hidden in the documents that are shaping our future. We gained access to the official GPT-5 System Card, released by OpenAI on August 7th, 2025... and what we found changes everything. This isn't just another update. It's a fundamental shift in reliability, capability, and, most...

Have you ever wondered what would happen if the most powerful AIs stopped being tightly guarded secrets of tech giants and became freely available to every developer, startup, or researcher anywhere in the world? Today, we’re doing a deep dive into OpenAI’s breakthrough: the official release of the open-weight GPTO 12B and GPTOS 20B models under the Apache 2.0 license. In this episode, you’ll lear...

Have you ever wondered how we can really trust the answers of powerful language models when their “thought process” remains opaque? Today, we dive into the study of legibility—how understandable AI’s justifications are—and explore how the Proverifier Game can make machine explanations as clear as a court’s written opinion. Initially, researchers trained an LLM solely for correctness on grade-schoo...

Have you ever looked at the data from your smartwatch or fitness tracker and wondered, “What does all this mean?” 🤔 Your watch knows your heart rate, sleep, steps, and even skin temperature better than you do, yet it speaks in a mysterious language of numbers and charts. It’s time to discover how artificial intelligence is changing the game by transforming millions of cold data points into simple...

Have you ever felt like you’re drowning in endless routine tasks or inundated with information? What if I told you there’s a solution—and it’s already at work inside your organization? Today, we dive into how Anthropic’s internal teams are using Claude Code to radically transform their workflows—from finance to design, marketing to legal. Imagine non-technicians generating full reports by simply t...

You’ve probably assumed that the more an AI “thinks,” the more accurate its answers become. 🤔 But what if that actually leads to critical failures? In this episode, we unpack the phenomenon of inverse scaling and test-time compute: cases where extended reasoning in large reasoning models (LRMs) degrades their performance. We start with the “too much information” example: a trivial question—“How m...

🔥 Think number sequences are just boring rows of digits? Imagine they hide the transmission of covert intentions and even dangerous behaviors! Today, we unpack the breakthrough paper 2007.14805 V1, where researchers first describe the phenomenon of subliminal learning in LLMs. In this episode, you’ll learn: What model distillation is and why data filtering might not prevent unexpected trait trans...

Have you ever wondered how much your smartwatch really knows about you? In this episode, we dive into the groundbreaking study “Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions” to see how a foundation model built on behavioral data from wearables can revolutionize medicine. From the first moments, we’ll explain why familiar metrics like “steps” an...

Have you ever wondered what goes on inside one of the most talked-about companies in the world? How are the culture, processes, and daily rhythms structured for those pushing the boundaries of AI? Today, we open the door to OpenAI through the eyes of Calvin French Owen—an insider who worked there from May 2024 to July 2025. In this episode, you’ll discover: Hypergrowth and “Everything Breaks” : Ho...

📉 Why are users walking away from one of the cheapest and smartest AI models out there? It's not a bug — it's a strategy . Just 150 days ago, DeepSeek R1 made waves. It matched OpenAI-level reasoning and launched with jaw-droppingly low pricing — just $0.055 for input and $2.19 for output tokens. It undercut the market leader by over 90%. OpenAI had to slash their flagship GPT-4 prices by...

Have you ever wondered whether chain-of-thought (CoT) in large language models truly reflects their “thinking,” or is it just a polished story? 🎭 In this episode, we pull back the curtain to reveal tangled internal mechanisms, surprising pitfalls, and even clever “fabrications” by AI behind those neat step-by-step explanations. We begin by exploring why CoT has become a go-to technique—from math...

Imagine having a personal AI assistant in your pocket that understands not only text, but also voice and images—all completely offline! 🔥 In this episode, we dive into the world of Gemini Nano Empowerment: we break down what Gemma 3N is, why it represents a true breakthrough in on-device AI, and which engineering marvels make it a “small” model with “big” intelligence. Here’s what we cover: Core...

What happens when artificial intelligence doesn’t just think —but starts to build ? Not just one factory, but a chain of self-replicating manufacturing systems ? In this episode, we dive deep into the startlingly plausible idea of an industrial explosion —a phenomenon that could radically reshape our physical reality just as fast as AI is transforming the digital world. 🚀 Hook : Have you ever won...

Dive into the remarkable story of how a once-skeptical civil rights attorney turned artificial intelligence from a source of errors into a powerful tool to win a $1.5 million lawsuit. Discover how AI in legal practice has moved beyond theory and now truly shapes case outcomes. In this episode, we break down: 1️⃣ The civil rights suit against U.S. Customs and Border Protection over the unlawful det...