x

75% of people globally want unbiased news (Pew Research) but are concerned they're not getting that.

Get balanced coverage with Symby. See how stories are covered across diverse outlets and spot when one side covers a story the other skips.

PODCAST

AIandBlockchain

Cryptocurrencies, blockchain, and artificial intelligence (AI) are powerful tools that are changing the game. Learn how they are transforming the world today and what opportunities lie hidden in the future.

technology

All Episodes

00:15:57

Urgent!! Claude 4.5: The Truth About 30 Hours and Code

AIandBlockchain ·

2025/09/29

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 days. We explain how Claude 4.5 maintains state over 30+ hours of multi-step tasks — and what that means

en

00:14:08

Openai. AI vs Experts: The Truth Behind the GDP...

AIandBlockchain ·

2025/09/26

🤖📉 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 Benchmark: a new way to measure how ready AI is to perform real professional work. And no — this isn’t just

en

00:12:28

Google. The Future of Robots: Thinking, Learning, and...

AIandBlockchain ·

2025/09/25

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 down steps, and checking progress. This makes their actions transparent and predictable for people.They can

en

00:12:47

Arxiv. When Data Becomes Pricier Than Compute: The...

AIandBlockchain ·

2025/09/25

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 bigger or endlessly reusing limited datasets—actually backfire? And more importantly, what algorithmic tricks

en

00:16:52

Arxiv. Small Batches, Big Shift in LLM Training

AIandBlockchain ·

2025/09/05

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 major advantages.🔍 In this episode you’ll learn:Why the dogma of “huge batches for stability” came about in

en

00:18:33

DeepSeek. Secrets of Smart LLMs: How Small Models...

AIandBlockchain ·

2025/09/01

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 training and using LLMs.We start with the core challenge: how do you get models not just to output text,

en

00:18:46

Arxiv. The Grain of Truth: How Reflective Oracles...

AIandBlockchain ·

2025/08/31

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 grain of truth problem.🔍 In this deep dive, you’ll discover:Why classical approaches to rationality in

en

00:18:03

Arxiv. Seed 1.5 Thinking: The AI That Learns to Reason

AIandBlockchain ·

2025/08/25

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 the “think before respond” principle works — and why it changes everything.Why the “mixture of experts”

en

00:19:03

Why Even the Best AIs Still Fail at Math

AIandBlockchain ·

2025/08/21

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 researchers are facing: most existing math benchmarks no longer pose a real challenge to today’s top LLMs

en

00:15:35

Can AI Beat NumPy? Algotune Reveals the Truth

AIandBlockchain ·

2025/08/14

🎯 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 asking an AI to make them run faster. No changing the task. No cutting corners. Just better code. Sounds wild

en

00:26:51

Urgent! ChatGPT-5. The Unvarnished Truth on Safety &...

AIandBlockchain ·

2025/08/07

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 risk gets thinner.In this episode, we've done the heavy lifting for you. We dove deep into the official

en

00:58:45

Urgent! ChatGPT-5. Behind the Scenes of GPT-5: What...

AIandBlockchain ·

2025/08/07

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 importantly, AI safety. In this deep dive, we crack open this 100-page document so you can get the

en

00:40:16

Urgent!!! How OpenAI gpt-oss 120B and 20B Are...

AIandBlockchain ·

2025/08/05

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 learn:What “open-weight” really means and how it differs from full open-source;How Apache 2.0 grants freedom

en

00:12:57

Arxiv. Secrets of Clear AI Explanations: The...

AIandBlockchain ·

2025/08/02

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-school math problems. The result? The model achieved stellar accuracy, but its step-by-step explanations

en

00:18:28

Arxiv. Your Body’s Secrets: How AI Translates Fitness...

AIandBlockchain ·

2025/07/29

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, understandable language.In this episode, we go behind the scenes of the latest breakthrough—Sensor LM

en

00:13:15

How Claude Code Is Changing the Game for Every Team

AIandBlockchain ·

2025/07/28

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 typing a text request—and instantly receiving a ready-made Excel file. Designers paste mockups into chat

en

00:13:25

Arxiv. When ‘More Thinking’ in AI Backfires

AIandBlockchain ·

2025/07/23

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 many fruits do you have?”—buried under a mountain of distracting numerical facts and Python code. Instead

en

00:21:26

arxiv. Secret Patterns: How AI Learns from Empty Data

AIandBlockchain ·

2025/07/22

🔥 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 transfer.How “owl obsession” and even dangerous misalignment slip through completely “clean” datasets—from mere

en

00:15:17

Apple. How Wearable Behavioral Data Is Changing...

AIandBlockchain ·

2025/07/21

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” and “heart rate” are just the tip of the iceberg. The new approach combines information about your actions

en

00:17:11

Inside OpenAI: Secrets Behind the Scenes

AIandBlockchain ·

2025/07/15

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”: How the company scaled from ~1,000 to over 3,000 employees in one year and miraculously maintained its

en

210 results

Similar Podcasts

Lead With AI

Tamara Nall

Linux in the Ham Shack

Black Sparrow Media

Data Engineering Podcast

Tobias Macey

Eye On A.I.

Craig S. Smith

Reflections

Livewire Labs