Podcasts about Superintelligence

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years.Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic.To keep up with the Exponential transition, subscribe to this channel or to my newsletter: https://www.exponentialview.co/-----A week before OpenClaw exploded, I recorded a prescient conversation with Mustafa Suleyman, CEO of Microsoft AI and co-founder of DeepMind. We talked about what happens when AI starts to seem conscious – even if it isn't. Today, you get to hear our conversation.Mustafa has been sounding the alarm about what he calls “seemingly conscious AI” and the risk of collective AI psychosis for a long time. We discussed this idea of the “fourth class of being” – neither human, tool, nor nature – that AI is becoming and all it brings with it.Skip to the best bits:(03:38) Why consciousness means the ability to suffer(06:52) "Your empathy circuits are being hacked"(07:23) Consciousness as the basis of rights(10:47) A fourth class of being(13:41) Why market forces push toward seemingly conscious AI(20:56) What AI should never be allowed to say(25:06) The proliferation problem with open-source chatbots(29:09) Why we need well-paid civil servants(30:17) Where should we draw the line with AI?(37:48) The counterintuitive case for going faster(42:00) The vibe coding dopamine hit(47:09) Social intelligence as the next AI frontier(48:50) The case for humanist super intelligence-----Where to find Mustafa:- X (Twitter): https://x.com/mustafasuleyman- LinkedIn: https://www.linkedin.com/in/mustafa-suleyman/- Personal Website: https://mustafa-suleyman.ai/Where to find me:- Substack: https://www.exponentialview.co/- Website: https://www.azeemazhar.com/- LinkedIn: https://www.linkedin.com/in/azhar- Twitter/X: https://x.com/azeemProduced by supermix.io and EPIIPLUS1 Ltd. Production and research: Chantal Smith and Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

It’s actually a good thing that some books push you to the edge of your ability to understand. But there’s no doubting the fact that dense, abstract and jargon-filled works can push you so far into the fog of frustration that you cannot blame yourself for giving up. But here’s the truth: You don’t have to walk away frustrated and confused. I’m going to share with you a number of practical strategies that will help you fill in the gaps of your reading process. Because that’s usually the real problem: It’s not your intelligence. Nor is it that the world is filled with books “above your level.” I ultimately don’t believe in “levels” as such. But as someone who taught reading courses at Rutgers and Saarland University, I know from experience that many learners need to pick up a few simple steps that will strengthen how they approach reading difficult books. And in this guide, you’ll learn how to read challenging books and remember what they say. I’m going to go beyond generic advice too. That way, you can readily diagnose: Why certain books feel so hard Use pre-reading tactics that prime your brain to deal with difficulties effectively Apply active reading techniques to lock in understanding faster Leverage accelerated learning tools that are quick to learn Use Artificial Intelligence to help convert tough convent into lasting knowledge without worrying about getting duped by AI hallucinations Whether you’re tacking philosophy, science, dense fiction or anything based primarily in words, the reading system you’ll learn today will help you turn confusion into clarity. By the end, even the most intimidating texts will surrender their treasures to your mind. Ready? Let’s break it all down together. https://www.youtube.com/watch?v=y9HLbY4jsFg Why Some Books Feel “Too Hard” (And What That Really Means) You know exactly how it feels and so do I. You sit down with a book that people claim is a classic or super-important. But within a few pages, your brain fogs over and you’re completely lost. More often than not, through glazed eyes, you start to wonder… did this author go out of his or her way to make this difficult? Are they trying to show off with all these literary pyrotechnics? Or is there a deliberate conspiracy to confuse readers like me? Rest assured. These questions are normal and well worth asking. The difficulty you might feel is never arbitrary in my experience. But there’s also no “single origin” explanation for why some books feel easier than others. It’s almost always a combination of factors, from cognitive readiness, lived experience, emotions and your physical condition throughout the day. This means that understanding why individual texts resist your understanding needs to be conducted on a case-by-case basis so you can move towards mastering anything you want to read. Cognitive Load: The Brain’s Processing “Stop Sign” “Cognitive load” probably needs no definition. The words are quite intuitive. You start reading something and it feels like someone is piling heavy bricks directly on top of your brain, squishing everything inside. More specifically, these researchers explain that what’s getting squished is specifically your working memory, which is sometimes called short-term memory. In practical terms, this means that when a book suddenly throws a bunch of unfamiliar terms at you, your working memory has to suddenly deal with abstract concepts, completely new words or non-linear forms of logic. All of this increases your cognitive load, but it’s important to note that there’s no conspiracy. In Just Being Difficult: Academic Writing in the Public Arena, a variety of contributors admit that they often write for other specialists. Although it would be nice to always compose books and articles for general readers, it’s not laziness. They’re following the codes of their discipline, which involves shorthand to save everyone time. Yes, it can also signal group membership and feel like an intellectual wall if you’re new to this style, but it’s simply a “stop sign” for your brain. And wherever there are stop signs, there are also alternative routes. Planning Your Detour “Roadmap” Into Difficult Books Let me share a personal example by way of sharing a powerful technique for making hard books easier to read. A few years ago I decided I was finally going to read Kant. I had the gist of certain aspects of his philosophy, but a few pages in, I encountered so many unfamiliar terms, I knew I had to obey the Cognitive Load Stop Sign and take a step back. To build a roadmap into Kant, I searched Google in a particular way. Rather than a search term like, “Intro to Kant,” I entered this tightened command instead: Filetype:PDF syllabus Kant These days, you can ask an LLM in more open language to simply give you links to the syllabi of the most authoritative professors who teach Kant. I’d still suggest that you cross-reference what you get on Google, however. If you’re hesitant about using either Google or AI, it’s also a great idea to visit a librarian in person to help you. Or, you can read my post about using AI for learning with harming your memory to see if it’s time to update your approach. Narrowing Down Your Options One way or another, the reason to consult the world’s leading professors is that their syllabi will provide you with: Foundational texts Core secondary literature Commentaries from qualified sources Essential historical references Once you’ve looked over a few syllabi, look through the table of contents of a few books on Amazon or Google Books. Then choose: 1-2 foundational texts to read before the challenging target book you want to master 1-2 articles or companion texts to read alongside In this way, you’ve turned difficulty into a path, not an obstacle. Pre-Reading Strategies That Warm Up Your Reading Muscles A lot of the time, the difficulty people feel when reading has nothing to do with the book. It’s just that you’re diving into unfamiliar territory without testing the waters first. Here are some simple ways to make unfamiliar books much easier to get into. Prime Like a Pro To make books easier to read, you can perform what is often called “priming” in the accelerated learning community. It is also sometimes called “pre-reading” and as this research article discusses, its success has been well-demonstrated. The way I typically perform priming is simple. Although some books require a slight change to the pattern, I typically approach each new book by reading: The back cover The index The colophon page The conclusion or afterword The most interesting or relevant chapter The introduction The rest of the book Activate Prior Knowledge Sometimes I will use a skimming and scanning strategy after reading the index to quickly familiarize myself with how an author approaches a topic with which I’m already familiar. This can help raise interest, excitement and tap into the power of context-dependent memory. For example, I recently started reading Doubt: A History by Jennifer Michael Hecht. Since the Renaissance memory master Giordano Bruno comes up multiple times, I was able to draw up a kind of context map of the books themes by quickly going through those passages. Take a Picture Walk Barbara Oakley and Terence Sejnjowski share a fantastic strategy in Learning How to Learn. Before reading, simply go through a book and look at all the illustrations, tables, charts and diagrams. It seems like a small thing. But it gives your brain a “heads up” about upcoming visual information that you may need to process than prose. I used to find visual information like this difficult, but after I started taking picture walks, I’m now excited to read “towards” these elements. If still find them challenging to understand, I apply a tip I learned from Tony Buzan that you might like to try: Rather than struggle to interpret a chart or illustration, reproduce it in your own hand. Here’s an example of how I did this when studying spaced repetition: As a result, I learned the graph and its concepts quickly and have never forgotten it. Build a Pre-Reading Ritual That Fits You There’s no one-sized-fits-all strategy, so you need to experiment with various options. The key is to reduce cognitive load by giving your mind all kinds of ways of understanding what a book contains. If it helps, you can create yourself a checklist that you slip into the challenging books on your list. That way, you’ll have both a bookmark and a protocol as you develop your own pre-reading style. Active Reading Techniques That Boost Comprehension Active reading involves deliberately applying mental activities while reading. These can include writing in the margins of your books, questioning, preparing summaries and even taking well-time breaks between books. Here’s a list of my favorite active reading strategies with ideas on how you can implement them. Using Mnemonics While Reading On the whole, I take notes while reading and then apply a variety of memory techniques after. But to stretch my skills, especially when reading harder books, I start the encoding process earlier. Instead of just taking notes, I’ll start applying mnemonic images. I start early because difficult terms often require a bit more spaced repetition. To do this yourself, the key is to equip yourself with a variety of mnemonic methods, especially: The Memory Palace technique The Pegword Method The Major System The PAO System And in some cases, you may want to develop a symbol system, such as if you’re studying physics or programming. Once you have these mnemonic systems developed, you can apply them in real time. For example, if you come across names and dates, committing them to memory as you read can help you keep track of a book’s historical arc. This approach can be especially helpful when reading difficult books because authors often dump a lot of names and dates. By memorizing them as you go, you reduce the mental load of having to track it all. For even more strategies you can apply while reading, check out my complete Mnemonics Dictionary. Strategic Questioning Whether you take notes or memorize in real-time, asking questions as you go makes a huge difference. Even if you don’t come up with answers, continually interrogating the book will open up your brain. The main kinds of questions are: Evaluative questions (checking that the author uses valid reasoning and address counterarguments) Analytical questions (assessing exactly how the arguments unfold and questioning basic assumptions) Synthetic questions (accessing your previous knowledge and looking for connections with other books and concepts) Intention questions (interrogating the author’s agenda and revealing any manipulative rhetoric) One medieval tool for questioning you can adopt is the memory wheel. Although it’s definitely old-fashioned, you’ll find that it helps you rotate between multiple questions. Even if they are as simple as who, what, where, when, how and why questions, you’ll have a mental mnemonic device that helps ensure you don’t miss any of them. Re-reading Strategies Although these researchers seem to think that re-reading is not an effective strategy, I could not live without it. There are three key kinds of re-reading I recommend. Verbalize Complexity to Tame It The first is to simply go back and read something difficult to understand out loud. You’d be surprised how often it’s not your fault. The author has just worded something in a clunky manner and speaking the phrasing clarifies everything. Verbatim Memorization for Comprehension The second strategy is to memorize the sentence or even an entire passage verbatim. That might seem like a lot of work, but this tutorial on memorizing entire passages will make it easy for you. Even if verbatim memorization takes more work, it allows you to analyze the meaning within your mind. You’re no longer puzzling over it on paper, continuing to stretch your working memory. No, you’ve effectively expanded at least a part of your working memory by bypassing it altogether. You’ve ushered the information into long-term memory. I’m not too shy to admit that I have to do this sometimes to understand everything from the philosophy in Sanskrit phrases to relatively simple passages from Shakespeare. As I shared in my recent discussion of actor Anthony Hopkins’ memory, I couldn’t work out what “them” referred to in a particular Shakespeare play. But after analyzing the passage in memory, it was suddenly quite obvious. Rhythmical Re-reading The third re-reading strategy is something I shared years ago in my post detailing 11 reasons you should re-read at least one book per month. I find this approach incredibly helpful because no matter how good you get at reading and memory methods, even simple books can be vast ecosystems. By revisiting difficult books at regular intervals, you not only get more out of them. You experience them from different perspectives and with the benefit of new contexts you’ve built in your life over time. In other words, treat your reading as an infinite game and never assume that you’ve comprehended everything. There’s always more to be gleaned. Other Benefits of Re-reading You’ll also improve your pattern recognition by re-treading old territory, leading to more rapid recognition of those patterns in new books. Seeing the structures, tropes and other tactics in difficult books opens them up. But without regularly re-reading books, it can be difficult to perceive what these forms are and how authors use them. To give you a simple example of a structure that appears in both fiction and non-fiction, consider in media res, or starting in the middle. When you spot an author using this strategy, it can immediately help you read more patiently. And it places the text in the larger tradition of other authors who use that particular technique. For even more ideas that will keep your mind engaged while tackling tough books, feel free to go through my fuller article on 7 Active Reading Strategies. Category Coloring & Developing Your Own Naming System For Complex Material I don’t know about you, but I do not like opening a book only to find it covered in highlighter marks. I also don’t like highlighting books myself. However, after practicing mind mapping for a few years, I realized that there is a way to combine some of its coloring principles with the general study principles of using Zettelkasten and flashcards. Rather than passively highlighting passages that seem interesting at random, here’s an alternative approach you can take to your next tour through a complicated book. Category Coloring It’s often helpful to read with a goal. For myself, I decided to tackle a hard book called Gödel Escher Bach through the lens of seven categories. I gave each a color: Red = Concept Green = Process Orange = Fact Blue = Historical Context Yellow = Person Purple = School of Thought or Ideology Brown = Specialized Terminology Example Master Card to the Categorial Color Coding Method To emulate this method, create a “key card” or “master card” with your categories on it alongside the chosen color. Use this as a bookmark as you read. Then, before writing down any information from the book, think about the category to which it belongs. Make your card and then apply the relevant color. Obviously, you should come up with your own categories and preferred colors. The point is that you bring the definitions and then apply them consistently as you read and extract notes. This will help bring structure to your mind because you’re creating your own nomenclature or taxonomy of information. You are also using chunking, a specific mnemonic strategy I’ve written about at length in this post on chunking as a memory tool. Once you’re finished a book, you can extract all the concepts and memorize them independently if you like. And if you emulate the strategy seen on the pictured example above, I’ve included the page number on each card. That way, I can place the cards back in the order of the book. Using this approach across multiple books, you will soon spot cross-textual patterns with greater ease. The catch is that you cannot allow this technique to become activity for activity’s sake. You also don’t want to wind up creating a bunch of informational “noise.” Before capturing any individual idea on a card and assigning it to a category, ask yourself: Why is this information helpful, useful or critical to my goal? Will I really use it again? Where does it belong within the categories? If you cannot answers these questions, either move on to the next point. Or reframe the point with some reflective thinking so that you can contextualize it. This warning aside, it’s important not to let perfectionism creep into your life. Knowing what information matters does take some practice. To speed up your skills with identifying critical information, please read my full guide on how to find the main points in books and articles. Although AI can certainly help these days, you’ll still need to do some work on your own. Do Not Let New Vocabulary & Terminology Go Without Memorization One of the biggest mistakes I used to make, even as a fan of memory techniques, slowed me down much more than necessary. I would come across a new term, look it up, and assume I’d remember it. Of course, the next time I came across it, the meaning was still a mystery. But when I got more deliberate, I not only remembered more words, but the knowledge surrounding the unfamiliar terms also stuck with greater specificity. For example, in reading The Wandering Mind by Jamie Kreiner, memorizing the ancient Greek word for will or volition (Prohairesis) pulled many more details about why she was mentioning it. Lo and behold, I started seeing the word in more places and connecting it to other ancient Greek terms. Memorizing those as well started to create a “moat of meaning,” further protecting a wide range of information I’d been battling. Understanding Why Vocabulary Blocks Comprehension The reason why memorizing words as you read is so helpful is that it helps clear out the cognitive load created by pausing frequently to look up words. Even if you don’t stop to learn a new definition, part of your working memory gets consumed by the lack of familiarity. I don’t always stop to learn new definitions while reading, but using the color category index card method you just discovered, it’s easy to organize unfamiliar words while reading. That way they can be tidily memorized later. I have a full tutorial for you on how to memorize vocabulary, but here’s a quick primer. Step One: Use a System for Capturing New Words & Terms Whether you use category coloring, read words into a recording app or email yourself a reminder, the key is to capture as you go. Once your reading session is done, you can now go back to the vocabulary list and start learning it. Step Two: Memorize the Terms I personally prefer the Memory Palace technique. It’s great for memorizing words and definitions. You can use the Pillar Technique with the word at the top and the definition beneath it. Or you can use the corners for the words and the walls for the definitions. Another idea is to photograph the cards you create and important them into a spaced repetition software like Anki. As you’ll discover in my complete guide to Anki, there are several ways you can combine Anki with a variety of memory techniques. Step Three: Use the Terms If you happened to catch an episode of the Magnetic Memory Method Podcast back when I first learned Prohairesis I mentioned it often. This simple habit helps establish long-term recall, reflection and establishes the ground for future recognition and use. Expand Understanding Using Video & Audio Media When I was in university, I often had to ride my bike across Toronto to borrow recorded lectures on cassette. Given the overwhelming tsunamis of complex ideas, jargon and theoretical frameworks I was facing, it was worth it. Especially since I was also dealing with the personal problems I shared with you in The Victorious Mind. Make no mistake: I do not believe there is any replacement for reading the core books, no matter how difficult they might be. But there’s no reason not to leverage the same ideas in multiple formats to help boost your comprehension and long-term retention. Multimedia approaches are not just about knowledge acquisition either. There have been many debates in the magical arts community that card magicians should read and not rely on video. But evidence-based studies like this one show that video instruction combined with reading written instructions is very helpful. The Science Behind Multi-Modal Learning I didn’t know when I was in university, or when I was first starting out with memdeck card magic that dual coding theory existed. This model was proposed by Allan Paivio, who noticed that information is processed both verbally and non-verbally. Since then, many teachers have focused heavily on how to encourage students to find the right combination of reading, visual and auditory instructional material. Here are some ideas that will help you untangle the complexity in your reading. How to Integrate Multimedia Without Overload Forgive me if this is a bit repetitive, but to develop flow with multiple media, you need to prime the brain. As someone who has created multiple YouTube videos, I have been stubborn about almost always including introductions. Why? Go Through the Intros Like a Hawk Because without including a broad overview of the topic, many learners will miss too many details. And I see this in the comments because people ask questions that are answered throughout the content and flagged in the introductions. So the first step is to be patient and go through the introductory material. And cultivate an understanding that it’s not really the material that is boring. It’s the contemporary issues with dopamine spiking that make you feel impatient. The good news is that you can possibly reset your dopamine levels so you’re better able to sit through these “priming” materials. One hack I use is to sit far away from my mouse and keep my notebook in hand. If I catch myself getting antsy, I perform a breathing exercise to restore focus. Turn on Subtitles When you’re watching videos, you can help increase your engagement by turning on the subtitles. This is especially useful in jargon-heavy video lessons. You can pause and still see the information on the screen for easier capture when taking notes. When taking notes, I recommend jotting down the timestamp. This is useful for review, but also for attributing citations later if you have to hand in an assignment. Mentally Reconstruct After watching a video or listening to a podcast on the topic you’re mastering, take a moment to review the key points. Try to go through them in the order they were presented. This helps your brain practice mental organization by building a temporal scaffold. If you’ve taken notes and written down the timestamps, you can easily check your accuracy. Track Your Progress For Growth & Performance One reason some people never feel like they’re getting anywhere is that they have failed to establish any points of reference. Personally, this is easy for me to do. I can look back to my history of writing books and articles or producing videos and be reminded of how far I’ve come at a glance. Not only as a writer, but also as a reader. For those who do not regularly produce content, you don’t have to start a blog or YouTube channel. Just keep a journal and create a few categories of what skills you want to track. These might include: Comprehension Retention Amount of books read Vocabulary growth Critical thinking outcomes Confidence in taking on harder books Increased tolerance with frustration when reading challenges arise You can use the same journal to track how much time you’ve spent reading and capturing quick summaries. Personally, I wish I’d started writing summaries sooner. I really only got started during grad school when during a directed reading course, a professor required that I had in a summary for every book and article I read. I never stopped doing this and just a few simple paragraph summaries has done wonders over the years for my understanding and retention. Tips for Overcoming Frustration While Reading Difficult Books Ever since the idea of “desirable difficulty” emerged, people have sought ways to help learners overcome emotional responses like frustration, anxiety and even shame while tackling tough topics. As this study shows, researchers and teachers have found the challenge difficult despite the abundance of evidence showing that being challenged is a good thing. Here are some strategies you can try if you continue to struggle. Embrace Cognitive Discomfort As we’ve discussed, that crushing feeling in your brain exists for a reason. Personally, I don’t think it ever goes away. I still regularly pick up books that spike it. The difference is that I don’t start up a useless mantra like, “I’m not smart enough for this.” Instead, I recommend you reframe the experience and use the growth mindset studied by Carol Dweck, amongst others. You can state something more positive like, “This book is a bit above my level, but I can use tactics and techniques to master it.” I did that very recently with my reading of The Xenotext, parts of which I still don’t fully understand. It was very rewarding. Use Interleaving to Build Confidence I rotate through draining books all the time using a proven technique called interleaving. Lots of people are surprised when I tell them that I rarely read complex and challenging books for longer than fifteen minutes at a time. But I do it because interleaving works. Which kinds of books can you interleave? You have choices. You can either switch in something completely different, or switch to a commentary. For example, while recently reading some heavy mathematical theories about whether or not “nothing” can exist, I switched to a novel. But back in university, I would often stick within the category while at the library. I’d read a core text by a difficult philosopher, then pick up a Cambridge Companion and read an essay related to the topic. You can also interleave using multimedia sources like videos and podcasts. Interleaving also provides time for doing some journaling, either about the topic at hand or some other aspect of your progress goals. Keep the Big Picture in Mind Because frustration is cognitively training, it’s easy to let it drown out your goals. That’s why I often keep a mind map or some other reminder on my desk, like a couple of memento mori. It’s also possible to just remember previous mind maps you’ve made. This is something I’m doing often at the moment as I read all kinds of boring information about managing a bookshop for my Memory Palace bookshop project first introduced in this video: https://www.youtube.com/watch?v=utcJfeQZC2c It’s so easy to get discouraged by so many rules and processes involved in ordering and selling books, that I regularly think back to creating this mind map with Tony Buzan years ago. In case my simple drawings on this mind map for business development doesn’t immediately leap out at you with its meanings, the images at the one o’clock-three o’clock areas refer to developing a physical Memory Palace packed with books on memory and learning. Developing and keeping a north star in mind will help you transform the process of reading difficult books into a purposeful adventure of personal development. Even if you have to go through countless books that aren’t thrilling, you’ll still be moving forward. Just think of how much Elon Musk has read that probably wasn’t all that entertaining. Yet, it was still essential to becoming a polymath. Practice Seeing Through The Intellectual Games As you read harder and harder books, you’ll eventually come to realize that the “fluency” some people have is often illusory. For example, some writers and speakers display a truly impressive ability to string together complex terminology, abstract references and fashionable ideas of the day in ways that sound profound. Daniel Dennett frequently used a great term for a lot of this verbal jujitsu that sounds profound but is actually trivial. He called such flourishes “deepities.” https://www.youtube.com/watch?v=ey-UeaSi1rI This kind of empty linguistic dexterity will be easier for you to spot when you read carefully, paraphrase complex ideas in your own words and practice memorizing vocabulary frequently. When you retain multiple concepts and practice active questioning in a large context of grounded examples and case studies, vague claims will not survive for long in your world. This is why memory training is about so much more than learning. Memorization can equip you to think independently and bring clarity to fields that are often filled with gems, despite the fog created by intellectual pretenders more interested in word-jazz than actual truth. Using AI to Help You Take On Difficult Books As a matter of course, I recommend you use AI tools like ChatGPT after doing as much reading on your own as possible. But there’s no mistaking that intentional use of such tools can help you develop greater understanding. The key is to avoid using AI as an answer machine or what Nick Bostrom calls an “oracle” in his seminal book, Superintelligence. Rather, take a cue from Andrew Mayne, a science communicator and central figure at OpenAI and host of their podcast. His approach centers on testing in ways that lead to clarity of understanding and retention as he uses various mnemonic strategies. https://www.youtube.com/watch?v=JlzD_6Olaqw Beyond his suggestions, here are some of my favorite strategies. Ask AI to Help Identify All Possible Categories Connected to a Topic A key reason many people struggle to connect ideas is simply that they haven’t developed a mental ecosystem of categories. I used to work in libraries, so started thinking categorically when I was still a teenager. But these days, I would combine how traditional libraries are structured with a simple prompt like: List all the possible categories my topic fits into or bridges across disciplines, historical frameworks and methodologies. Provide the list without interpretation or explanation so I can reflect. A prompt like this engineers a response that focuses on relationships and lets your brain perform the synthetic thinking. Essentially, you’ll be performing what some scientists call schema activation, leading to better personal development outcomes. Generate Lists of Questions To Model Exceptional Thinkers Because understanding relies on inquiry, it’s important to practice asking the best possible questions. AI chat bots can be uniquely useful in this process provided that you explicitly insist that it helps supply you excellent questions without any answers. You can try a prompt like: Generate a list of questions that the world’s most careful thinkers in this field would ask about this topic. Do not provide any answers. Just the list of questions. Do this after you’ve read the text and go through your notes with fresh eyes. Evaluate the material with questions in hand, ideally by writing out your answers by hand. If you need your answers imported into your computer, apps can now scan your handwriting and give you text file. Another tip: Don’t be satisfied with the first list of questions you get. Ask the AI to dig deeper. You can also ask the AI to map the questions into the categories you previously got help identifying. For a list of questions you can put into your preferred chat bot, feel free to go through my pre-AI era list of philosophical questions. They are already separated by category. Use AI to Provide a Progress Journal Template If you’re new to journaling, it can be difficult to use the technique to help you articulate what you’re reading and why the ideas are valuable. And that’s not to mention working out various metrics to measure your growth over time. Try a prompt like this: Help me design a progress journal for my quest to better understand and remember difficult books. Include sections for me to list my specific goals, vocabulary targets, summaries and various milestones I identify. Make it visual so I can either copy it into my own print notebook or print out multiple copies for use over time. Once you have a template you’re happy to experiment with, keep it visible in your environment so you don’t forget to use it. Find Blind Spots In Your Summaries Many AIs have solid reasoning skills. As a result, you can enter your written summaries and have the AI identify gaps in your knowledge, blind spots and opportunities for further reading. Try a prompt like: Analyze this summary and identify any blind spots, ambiguities in my thinking or incompleteness in my understanding. Suggest supplementary reading to help me fill in any gaps. At the risk of repetition, the point is that you’re not asking for the summaries. You’re asking for assessments that help you diagnose the limits of your understanding. As scientists have shown, metacognition, or thinking about your thinking can help you see errors much faster. By adding an AI into the mix, you’re getting feedback quickly without having to wait for a teacher to read your essay. Of course, AI outputs can be throttled, so I find it useful to also include a phrase like, “do not throttle your answer,” before asking it to dig deeper and find more issues. Used wisely, you will soon see various schools of thought with much greater clarity, anticipate how authors make their moves and monitor your own blind spots as you read and reflect. Another way to think about the power of AI tools is this: They effectively mirror human reasoning at a species wide level. You can use them to help you mirror more reasoning power by regularly accessing and practicing error detection and filling in the gaps in your thinking style. Why You Must Stop Abandoning Difficult Books (At Least Most of the Time) Like many people, I’m a fan of Scott Young’s books like Ultralearning and Get Better at Anything. He’s a disciplined thinker and his writing helps people push past shallow learning in favor of true and lasting depth. However, he often repeats the advice that you should stop reading boring books. In full transparency, I sometimes do this myself. And Young adds a lot of context to make his suggestion. But I limit abandoning books as much as possible because I don’t personally find Young’s argument that enjoyment and productivity go together. On the contrary, most goals that I’ve pursued have required fairly intense periods of delaying gratification. And because things worth accomplishing generally do require sacrifice and a commitment to difficulty, I recommend you avoid the habit of giving up on books just because they’re “boring” or not immediately enjoyable. I’ll bet you’ll enjoy the accomplishment of understanding hard books and conquering their complexity far more in the end. And you’ll benefit more too. Here’s why I think so. The Hidden Cost of Abandoning Books You’ve Started Yes, I agree that life is short and time is fleeting. But if you get into the habit of abandoning books at the first sign of boredom, it can quickly become your default habit due to how procedural memory works. In other words, you’re given your neurons the message that it’s okay to escape from discomfort. That is a very dangerous loop to throw yourself into, especially if you’re working towards becoming autodidactic. What you really need is to develop the ability to stick with complexity, hold ambiguous and contradictory issues in your mind and fight through topic exhaustion. Giving up on books on a routine basis? That’s the opposite of developing expertise and resilience. The AI Risk & Where Meaning is Actually Found We just went through the benefits of AI, so you shouldn’t have issues. But I regularly hear from people and have even been on interviews where people use AI to summarize books I’ve recomended. This is dangerous because the current models flatten nuance due to how they summarize books based on a kind of “averaging” of what its words predictability mean. Although they might give you a reasonable scaffold of a book’s structure, you won’t get the friction created by how authors take you through their thought processes. In other words, you’ll be using AI models that are not themselves modeling the thinking that reading provides when you grind your way through complex books. The Treasure of Meaning is Outside Your Comfort Zone Another reason to train for endurance is that understanding doesn’t necessarily arrive while reading a book or even a few weeks after finishing it. Sometimes the unifying insights land years later. But if you don’t read through books that seem to be filled with scattered ideas, you cannot gain any benefit from them. Their diverse points won’t consolidate in your memory and certainly won’t connect with other ideas later. So I suggest you train your brain to persist as much as possible. By drawing up the support of the techniques we discussed today and a variety of mnemonic support systems, you will develop persistence and mine more gold from everything you read. And being someone who successfully mines for gold and can produce it at will is the mark of the successful reading. Not just someone who consumes information efficiently, but who can repeatedly connect and transform knowledge year after year due to regularly accumulating gems buried in the densest and most difficult books others cannot or will not read. Use Struggle to Stimulate Growth & You Cannot Fail As you’ve seen, challenging books never mean that you’re not smart enough. It’s just a matter of working on your process so that you can tackle new forms of knowledge. And any discomfort you feel is a signal that a great opportunity and personal growth adventure awaits. By learning how to manage cognitive load, fill in the gaps in your background knowledge and persist through frustration, you can quickly become the kind of reader who seeks out complexity instead of flinching every time you see it. Confusion has now become a stage along the path to comprehension. And if you’re serious about mastering increasingly difficult material, understanding and retaining it, then it’s time to upgrade your mental toolbox. Start now by grabbing my Free Memory Improvement Course: Inside, you’ll discover: The Magnetic Memory Method for creating powerful Memory Palaces How to develop your own mnemonic systems for encoding while reading Proven techniques that deepen comprehension, no matter how abstract or complex your reading list is And please, always remember: The harder the book, the greater rewards. And the good news is, you’re now more than ready to claim them all.

Today on our show:ChatGPT's 4% Fee Confirms Marketplace EconomicsAmerican Eagle to Close Quiet Logistics BusinessUPS Releases 4Q 2025 Earnings and Provides 2026 GuidanceMeta Earnings in Superintelligence We Trust- and finally, The Investor Minute, which contains 5 items this week from the world of venture capital, acquisitions, and IPOs.Today's episode is sponsored by Rithum.https://www.rmwcommerce.com/ecommerce-podcast-watsonweekly

Use code coolworldspodcast at https://incogni.com/coolworldspodcast to get an exclusive 60% off. In this week's episode, David is joined by Nick Bostrom, Professor of Philosophy at Oxford University and author of several books including "Deep Utopia", "Superintelligence" and "Anthropic Reasoning".   To support this podcast and our research lab, head to https://coolworldslab.com/support   Cool Worlds Podcast Theme by Hill [https://open.spotify.com/artist/1hdkvBtRdOW4SPsnxCXOjK]

What does it really take to achieve Health Moonshots in the Age of Superintelligence? Recorded live at StartUp Health’s Apollo House during JPM Healthcare Week, this panel brings together leaders operating at the intersection of healthcare delivery, diagnostics, cloud infrastructure, and AI. Moderated by Angela Shippy, MD, of Amazon Web Services, the conversation explores how AI is moving from point solutions to foundational infrastructure across the modern health stack. Together, the panel examines why clean, connected data is essential, how agentic workflows can reduce burnout and improve clinician and patient experience, and what it will take to move healthcare from transactional to truly person-centered care. The discussion also tackles trust, governance, and why collaboration across startups, health systems, and big tech is critical to delivering real-world impact. This is a grounded, forward-looking conversation about how purpose-driven leadership can turn exponential technology into practical outcomes that matter. Featured Guests Angela Shippy, MDSenior Physician Executive and Clinical Innovation Lead, Global Healthcare and Nonprofit, Amazon Web Services (AWS) Brian Caveney, MD, MPHChief Medical and Scientific Officer, Labcorp Rasu Shrestha, MDEVP, Chief Innovation and Commercialization Officer, Advocate Health Chelsea Sumner, PharmDTranslational Health and AI Strategy Leader, NVIDIA Mark AndrewsSenior Principal, AGI, Product Leader, Amazon Do you want to participate in live conversations with industry luminaries? When you join the StartUp Health Network – a new private community for investors, buyers, and industry leaders to connect year-round with top health entrepreneurs – you are invited to a full calendar of interactive Fireside Chats with the most influential leaders shaping health innovation. Come with questions, learn what is working right now, and connect with industry icons. » Learn more and join today. Want more content like this? Sign up for StartUp Health Insider™ to get funding insights, news, and special updates delivered to your inbox.

- Interview with Tom Luongo on Trump's Global Strategy (0:11) - Greenland's Preference for Denmark (3:55) - Trump's Response to Greenland's Independence (9:26) - Trump's Encouragement of Iranian Insurgency (11:58) - Economic and Political Concerns (15:23) - The Global Free-for-All Era (19:45) - Challenges for the U.S. and Trump (25:18) - The Role of Vote Fraud and Military Intervention (36:51) - The Human Brain as a Mobile Processor (39:19) - The Future of AI and Human Replacement (47:06) - DeepSea Version 4 and Cloud Code Issues (1:19:31) - China's Technological Advancements and US Companies' Response (1:30:09) - Trump's Policies and Their Impact on the US (1:33:59) - Tom Luongo's Analysis of Global Politics and Trump's Strategy (1:40:12) - Trump's International Moves and Their Implications (1:45:16) - Trump's Economic Policies and Their Impact on the US Economy (2:19:35) - Trump's Efforts to Address Corruption and Fraud (2:26:10) - The Role of the Supreme Court and Legal Limits (2:30:51) - The Future of American Politics and Society (2:31:04) - The Importance of Addressing Systemic Issues (2:35:52) - Trump's Support Base and Voter Integrity (2:36:11) - Voter Roll Cleanup and Voter Integrity Legislation (2:40:35) - Critique of Polling Data and Predictive Models (2:41:45) - Potential for a National Emergency and Military Involvement (2:46:37) - Democrats' Strategy and Globalist Agenda (2:50:09) - Tom Luongo's Background and Contributions (2:51:53) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

In this episode, I talked to Dr. Alex Zhavoronkov, CEO of Insilico Medicine, about using AI to generate small molecules for future drugs/therapies, pharma superintelligence, automation of drug discovery, China potentially beating US in biotech innovation, aging, and other funny things, like his head transplant video. ---------------------------------------------------------------Thanks to the sponsors:Audible: Use my link for a 30-day free trial: http://audibletrial.com/diamondgoatNewsly: https://newsly.mepromo code to receive a 1-month free premium subscription: EARLYMORNING Libysn: https://libsyn.compromo code: DG Dubby Energy: https://www.dubby.ggpromo code for 10% off: DIAMONDGOATOpus Clips:  https://www.opus.pro/?via=diamondgoat----------------------------------------------------------------------------------Listen on:Podcast website: https://www.spreaker.com/podcast/dg-early-morning-show--5943922Spotify: https://open.spotify.com/show/0EuhA6WyuerHtVAqcFrFeOPodcast YT channel clips: https://www.youtube.com/@dgearlymorningshowTiktok: @dgearlymorningshowApple Podcast: https://podcasts.apple.com/us/podcast/dg-early-morning-show/id1575451533Amazon Music: https://music.amazon.com/podcasts/f050b86c-1dad-4bc3-b12f-6aa5fa62438c  Goodpods: https://goodpods.com/podcasts/dg-early-morning-show-211830RadioPublic: https://radiopublic.com/dg-earlymorning-show-WoML4rBreaker: https://www.breaker.audio/dg-early-morning-showReason: https://reason.fm/podcast/dg-earlymorning-show--------------------------------------Check out my other stuff:Instagram: @itzdiamondgoatTwitter: @lildiamondgoatMain YT channel: youtube.com/diamondgoatTiktok: @lildiamondgoatSoundcloud: @Lil DiamondgoatSpotify: @Lil DiamondgoatMerch store: https://diamondgoat.creator-spring.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/dg-early-morning-show--5943922/support.

In this episode of the Crazy Wisdom podcast, host Stewart Alsop sits down with Josh Halliday, who works on training super intelligence with frontier data at Turing. The conversation explores the fascinating world of reinforcement learning (RL) environments, synthetic data generation, and the crucial role of high-quality human expertise in AI training. Josh shares insights from his years working at Unity Technologies building simulated environments for everything from oil and gas safety scenarios to space debris detection, and discusses how the field has evolved from quantity-focused data collection to specialized, expert-verified training data that's becoming the key bottleneck in AI development. They also touch on the philosophical implications of our increasing dependence on AI technology and the emerging job market around AI training and data acquisition.Timestamps00:00 Introduction to AI and Reinforcement Learning03:12 The Evolution of AI Training Data05:59 Gaming Engines and AI Development08:51 Virtual Reality and Robotics Training11:52 The Future of Robotics and AI Collaboration14:55 Building Applications with AI Tools17:57 The Philosophical Implications of AI20:49 Real-World Workflows and RL Environments26:35 The Impact of Technology on Human Cognition28:36 Cultural Resistance to AI and Data Collection31:12 The Bottleneck of High-Quality Data in AI32:57 Philosophical Perspectives on Data35:43 The Future of AI Training and Human Collaboration39:09 The Role of Subject Matter Experts in Data Quality43:20 The Evolution of Work in the Age of AI46:48 Convergence of AI and Human ExperienceKey Insights1. Reinforcement Learning environments are sophisticated simulations that replicate real-world enterprise workflows and applications. These environments serve as training grounds for AI agents by creating detailed replicas of tools like Salesforce, complete with specific tasks and verification systems. The agent attempts tasks, receives feedback on failures, and iterates until achieving consistent success rates, effectively learning through trial and error in a controlled digital environment.2. Gaming engines like Unity have evolved into powerful platforms for generating synthetic training data across diverse industries. From oil and gas companies needing hazardous scenario data to space intelligence firms tracking orbital debris, these real-time 3D engines with advanced physics can create high-fidelity simulations that capture edge cases too dangerous or expensive to collect in reality, bridging the gap where real-world data falls short.3. The bottleneck in AI development has fundamentally shifted from data quantity to data quality. The industry has completely reversed course from the previous "scale at all costs" approach to focusing intensively on smaller, higher-quality datasets curated by subject matter experts. This represents a philosophical pivot toward precision over volume in training next-generation AI systems.4. Remote teleoperation through VR is creating a new global workforce for robotics training. Workers wearing VR headsets can remotely control humanoid robots across the globe, teaching them tasks through direct demonstration. This creates opportunities for distributed talent while generating the nuanced human behavioral data needed to train autonomous systems.5. Human expertise remains irreplaceable in the AI training pipeline despite advancing automation. Subject matter experts provide crucial qualitative insights that go beyond binary evaluations, offering the contextual "why" and "how" that transforms raw data into meaningful training material. The challenge lies in identifying, retaining, and properly incentivizing these specialists as demand intensifies.6. First-person perspective data collection represents the frontier of human-like AI training. Companies are now paying people to life-log their daily experiences, capturing petabytes of egocentric data to train models more similarly to how human children learn through constant environmental observation, rather than traditional batch-processing approaches.7. The convergence of simulation, robotics, and AI is creating unprecedented philosophical and practical challenges. As synthetic worlds become indistinguishable from reality and AI agents gain autonomy, we're entering a phase where the boundaries between digital and physical, human and artificial intelligence, become increasingly blurred, requiring careful consideration of dependency, agency, and the preservation of human capabilities.

You're about to listen to, #469 Secrets Of Super Intelligence Hypnosis Session a guided session of hypnotherapy designed to activate your higher intelligence and elevate your mental clarity and memory. This experience gently guides you into a focused, receptive state where mental noise quiets and your mind becomes sharp, organized, and deeply aware. It's a space where insight flows more easily, understanding deepens, and your natural intelligence rises to the surface with calm confidence. As you move through this session, you'll begin to clear mental fog, strengthen memory pathways, and access a deeper level of inner knowing. You'll align with a sense of mental ease and clarity that allows you to think clearly, speak thoughtfully, and move through life with confidence in your intellect. Inside this session, you'll experience: – A grounding induction that calms the mind and sharpens focus – Subconscious activation of clarity, memory, and mental awareness – Release of mental overwhelm and scattered thinking – Alignment with higher intelligence and inner wisdom – An empowering close that leaves you feeling clear, confident, and mentally energized This session will help you use the Law of Attraction to tap into the deepest intelligence of your mind—transforming how you show up in the world and allowing others to naturally recognize you as a calm, capable, and trusted source of wisdom. Tips for best results: • Use headphones for the most immersive experience • Listen daily for at least 21–30 days • Use this session when you can fully relax and won't be disturbed • Avoid multitasking during hypnosis This session is one of the many premium recordings found inside my BELIEVE app — where you'll find over 1000 high-quality hypnosis, meditation, and affirmation sessions covering every area of manifesting success. — Helpful Links: → Get the BELIEVE App with 1000+ sessions: https://www.believehypnosis.app  → Download individual MP3s from my library: https://www.hyptalk.com  → Take full transformational courses: https://www.personalgrowthclub.com  → Work with me or learn more: https://www.victoriamgallagher.com  → Grab your copy of Practical Law of Attraction: https://a.co/d/5VUdyAu Thanks for listening to the Power of Your Mind podcast. If this episode resonated with you, please take a moment to rate and review — it helps more people discover these powerful tools. Stay consistent. Stay focused. And most importantly, believe in what's possible for you. – Victoria  

Adeline Atlas 11 X Published AUTHOR Digital Twin: Create Your AI Clone: https://www.soulreno.com/digital-twinSOS: School of Soul Vault: Full Access ALL SERIES⁠https://www.soulreno.com/joinus-202f0461-ba1e-4ff8-8111-9dee8c726340Instagram:⁠https://www.instagram.com/soulrenovation/Soul Renovation - BooksSoul Game - https://tinyurl.com/vay2xdcpWhy Play: ⁠https://tinyurl.com/2eh584jfHow To Play: ⁠https://tinyurl.com/2ad4msf3Digital Soul: https://tinyurl.com/3hk29s9xEvery Word: ⁠⁠http://tiny.cc/ihrs001Drain Me: ⁠https://tinyurl.com/bde5fnf4The Rabbit Hole: https://tinyurl.com/3swnmxfjDestiny Swapping: https://tinyurl.com/35dzpvssSpanish Editions:Every Word: https://tinyurl.com/ytec7cvcDrain Me: https://tinyurl.com/3jv4fc5n

This is a two-part episode. The first ~30m covers the most important 2025 breakthroughs in polygenic embryo screening, while the second 30m focuses specifically on AI capabilities at the frontier of human knowledge. Both segments make predictions for 2026 and beyond.Links:Chinese billionaires, Philo-semitism, and the Chosen embryos:https://x.com/hsu_steve/status/2000206116823675078My talk from Reproductive Frontiers 2025 in Berkeley:https://www.youtube.com/watch?v=n64rrRPtCa8Previous episodes on frontier AI capabilities in math and theoretical physicshttps://www.manifold1.com/episodes/theoretical-physics-with-generative-ai-101https://www.manifold1.com/episodes/ais-win-math-olympiad-gold-prof-lin-yang-ucla-97Chapter Markers:(00:00) - Introduction (02:22) - Advancements in Polygenic Prediction of Human Traits (03:20) - Polygenic Risk Scores in Healthcare (08:15) - Embryo Selection and IVF (20:37) - Public Perceptions: billionaires and FOMO (31:40) - AI advances in 2025: High end capabilities and use of AI at the frontier of human knowledge (55:33) - Conclusion and predictions for 2026 –Steve Hsu is Professor of Theoretical Physics and of Computational Mathematics, Science, and Engineering at Michigan State University. Previously, he was Senior Vice President for Research and Innovation at MSU and Director of the Institute of Theoretical Science at the University of Oregon. Hsu is a startup founder (SuperFocus.ai, SafeWeb, Genomic Prediction, Othram) and advisor to venture capital and other investment firms. He was educated at Caltech and Berkeley, was a Harvard Junior Fellow, and has held faculty positions at Yale, the University of Oregon, and MSU. Please send any questions or suggestions to manifold1podcast@gmail.com or Steve on X @hsu_steve.

Carina Hong dropped out of Stanford's PhD program to build "mathematical superintelligence" — and just raised $64M to do it. In this episode, we explore what that actually means: an AI that doesn't just solve math problems but discovers new theorems, proves them formally, and gets smarter with each iteration. Carina explains how her team solved a 130-year-old problem about Lyapunov functions, disproved a 30-year-old graph theory conjecture, and why math is the secret "bedrock" for everything from chip design to quant trading to coding agents. We also discuss the fascinating connections between neuroscience, AI, and mathematics.Lean more about Axiom: https://axiommath.ai/ Subscribe to The Neuron newsletter: https://theneuron.ai

This is a lively, no-holds-barred debate about whether AI can truly be intelligent, conscious, or understand anything at all — and what happens when (or if) machines become smarter than us.Dr. Mike Israetel is a sports scientist, entrepreneur, and co-founder of RP Strength (a fitness company). He describes himself as a "dilettante" in AI but brings a fascinating outsider's perspective.Jared Feather (IFBB Pro bodybuilder and exercise physiologist)The Big Questions:1. When is superintelligence coming?2. Does AI actually understand anything?3. The Simulation Debate (The Spiciest Part)4. Will AI kill us all? (The Doomer Debate)5. What happens to human jobs and purpose?6. Do we need suffering?Mikes channel: https://www.youtube.com/channel/UCfQgsKhHjSyRLOp9mnffqVgRESCRIPT INTERACTIVE PLAYER: https://app.rescript.info/public/share/GVMUXHCqctPkXH8WcYtufFG7FQcdJew_RL_MLgMKU1U---TIMESTAMPS:00:00:00 Introduction & Workout Demo00:04:15 ASI Timelines & Definitions00:10:24 The Embodiment Debate00:18:28 Neutrinos & Abstract Knowledge00:25:56 Can AI Learn From YouTube?00:31:25 Diversity of Intelligence00:36:00 AI Slop & Understanding00:45:18 The Simulation Argument: Fire & Water00:58:36 Consciousness & Zombies01:04:30 Do Reasoning Models Actually Reason?01:12:00 The Live Learning Problem01:19:15 Superintelligence & Benevolence01:28:59 What is True Agency?01:37:20 Game Theory & The "Kill All Humans" Fallacy01:48:05 Regulation & The China Factor01:55:52 Mind Uploading & The Future of Love02:04:41 Economics of ASI: Will We Be Useless?02:13:35 The Matrix & The Value of Suffering02:17:30 Transhumanism & Inequality02:21:28 Debrief: AI Medical Advice & Final Thoughts---REFERENCES:Paper:[00:10:45] Alchemy and Artificial Intelligence (Dreyfus)https://www.rand.org/content/dam/rand/pubs/papers/2006/P3244.pdf[00:10:55] The Chinese Room Argument (John Searle)https://home.csulb.edu/~cwallis/382/readings/482/searle.minds.brains.programs.bbs.1980.pdf[00:11:05] The Symbol Grounding Problem (Stephen Harnad)https://arxiv.org/html/cs/9906002[00:23:00] Attention Is All You Needhttps://arxiv.org/abs/1706.03762[00:45:00] GPT-4 Technical Reporthttps://arxiv.org/abs/2303.08774[01:45:00] Anthropic Agentic Misalignment Paperhttps://www.anthropic.com/research/agentic-misalignment[02:17:45] Retatrutidehttps://pubmed.ncbi.nlm.nih.gov/37366315/Organization:[00:15:50] CERNhttps://home.cern/[01:05:00] METR Long Horizon Evaluationshttps://evaluations.metr.org/MLST Episode:[00:23:10] MLST: Llion Jones - Inventors' Remorsehttps://www.youtube.com/watch?v=DtePicx_kFY[00:50:30] MLST: Blaise Agüera y Arcas Interviewhttps://www.youtube.com/watch?v=rMSEqJ_4EBk[01:10:00] MLST: David Krakauerhttps://www.youtube.com/watch?v=dY46YsGWMIcEvent:[00:23:40] ARC Prize/Challengehttps://arcprize.org/Book:[00:24:45] The Brain Abstractedhttps://www.amazon.com/Brain-Abstracted-Simplification-Philosophy-Neuroscience/dp/0262548046[00:47:55] Pamela McCorduckhttps://www.amazon.com/Machines-Who-Think-Artificial-Intelligence/dp/1568812051[01:23:15] The Singularity Is Nearer (Ray Kurzweil)https://www.amazon.com/Singularity-Nearer-Ray-Kurzweil-ebook/dp/B08Y6FYJVY[01:27:35] A Fire Upon The Deep (Vernor Vinge)https://www.amazon.com/Fire-Upon-Deep-S-F-MASTERWORKS-ebook/dp/B00AVUMIZE/[02:04:50] Deep Utopia (Nick Bostrom)https://www.amazon.com/Deep-Utopia-Meaning-Solved-World/dp/1646871642[02:05:00] Technofeudalism (Yanis Varoufakis)https://www.amazon.com/Technofeudalism-Killed-Capitalism-Yanis-Varoufakis/dp/1685891241Visual Context Needed:[00:29:40] AT-AT Walker (Star Wars)https://starwars.fandom.com/wiki/All_Terrain_Armored_TransportPerson:[00:33:15] Andrej Karpathyhttps://karpathy.ai/Video:[01:40:00] Mike Israetel vs Liron Shapira AI Doom Debatehttps://www.youtube.com/watch?v=RaDWSPMdM4oCompany:[02:26:30] Examine.comhttps://examine.com/

If an AGI falls in the woods and nobody can define it, did it actually fall? This week we make an exact prediction of when AGI will happen, and the 10 ways it will immediately change the world. SHOW: 986SHOW TRANSCRIPT: The Cloudcast #986 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTESPlanning for AGI and Beyond (OpenAI) Machines of Loving Grace (Anthropic)Microsoft and Google has different visions/opinions on AGIAmazon reorganizes around new AGI team reporting to Andy JassyMistral CEO says that AGI is a marketing move AGI is defined by an independent committee in new Microsoft and OpenAI agreementWhy does being first to AGI matter?Bret Taylor on the current status of AGI (Acquired/AC2 podcast, 2025)WHAT DOES REACHING AGI PROVIDE FOR HUMANITY (or ANYTHING)?Y2K bug, 2038 Bug (techies are good at dates when things need to be patched)The % of people with Internet accessThe % of people with a smartphoneThe % of people with a certain level of education (basic or advanced)How much smarter is humanity than 10yrs ago? 20yrs ago? How much smarter could existing humanity be at any given time? Nobody has a consistent or measurable definition of AGIWhat are the Top 10 problems of humanity that need to be solved? (direct or indirect)Does reaching AGI enable certain government or corporate actions to start happening that couldn't happen now? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Are we in a simulation? On this episode, Neil deGrasse Tyson and comic co-host Chuck Nice take a deep dive into simulation theory, consciousness, and free will with Oxford theorist Nick Bostrom. Is this The Matrix? Originally Aired December 21, 2021.NOTE: StarTalk+ Patrons can listen to this entire episode commercial-free here: https://startalkmedia.com/show/cosmic-queries-living-in-a-simulation-with-nick-bostrom/ Subscribe to SiriusXM Podcasts+ to listen to new episodes of StarTalk Radio ad-free and a whole week early.Start a free trial now on Apple Podcasts or by visiting siriusxm.com/podcastsplus. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

as with all demo-heavy and especially vision AI podcasts, we encourage watching along on our YouTube (and tossing us an upvote/subscribe if you like!) From SAM 1's 11-million-image data engine to SAM 2's memory-based video tracking, MSL's Segment Anything project has redefined what's possible in computer vision. Now SAM 3 takes the next leap: concept segmentation—prompting with natural language like "yellow school bus" or "tablecloth" to detect, segment, and track every instance across images and video, in real time, with human-level exhaustivity. And with the latest SAM Audio (https://x.com/aiatmeta/status/2000980784425931067?s=46), SAM can now even segment audio output! We sat down with Nikhila Ravi (SAM lead at Meta) and Pengchuan Zhang (SAM 3 researcher) alongside Joseph Nelson (CEO, Roboflow) to unpack how SAM 3 unifies interactive segmentation, open-vocabulary detection, video tracking, and more into a single model that runs in 30ms on images and scales to real-time video on multi-GPU setups. We dig into the data engine that automated exhaustive annotation from two minutes per image down to 25 seconds using AI verifiers fine-tuned on Llama, the new SACO (Segment Anything with Concepts) benchmark with 200,000+ unique concepts vs. the previous 1.2k, how SAM 3 separates recognition from localization with a presence token, why decoupling the detector and tracker was critical to preserve object identity in video, how SAM 3 Agents unlock complex visual reasoning by pairing SAM 3 with multimodal LLMs like Gemini, and the real-world impact: 106 million smart polygons created on Roboflow saving humanity an estimated 130+ years of labeling time across fields from cancer research to underwater trash cleanup to autonomous vehicle perception. We discuss: What SAM 3 is: a unified model for concept-prompted segmentation, detection, and tracking in images and video using atomic visual concepts like "purple umbrella" or "watering can" How concept prompts work: short text phrases that find all instances of a category without manual clicks, plus visual exemplars (boxes, clicks) to refine and adapt on the fly Real-time performance: 30ms per image (100 detected objects on H200), 10 objects on 2×H200 video, 28 on 4×, 64 on 8×, with parallel inference and "fast mode" tracking The SACO benchmark: 200,000+ unique concepts vs. 1.2k in prior benchmarks, designed to capture the diversity of natural language and reach human-level exhaustivity The data engine: from 2 minutes per image (all-human) to 45 seconds (model-in-loop proposals) to 25 seconds (AI verifiers for mask quality and exhaustivity checks), fine-tuned on Llama 3.2 Why exhaustivity is central: every instance must be found, verified by AI annotators, and manually corrected only when the model misses—automating the hardest part of segmentation at scale Architecture innovations: presence token to separate recognition ("is it in the image?") from localization ("where is it?"), decoupled detector and tracker to preserve identity-agnostic detection vs. identity-preserving tracking Building on Meta's ecosystem: Perception Encoder, DINO v2 detector, Llama for data annotation, and SAM 2's memory-based tracking backbone SAM 3 Agents: using SAM 3 as a visual tool for multimodal LLMs (Gemini, Llama) to solve complex visual reasoning tasks like "find the bigger character" or "what distinguishes male from female in this image" Fine-tuning with as few as 10 examples: domain adaptation for specialized use cases (Waymo vehicles, medical imaging, OCR-heavy scenes) and the outsized impact of negative examples Real-world impact at Roboflow: 106M smart polygons created, saving 130+ years of labeling time across cancer research, underwater trash cleanup, autonomous drones, industrial automation, and more — MSL FAIR team Nikhila: https://www.linkedin.com/in/nikhilaravi/ Pengchuan: https://pzzhang.github.io/pzzhang/ Joseph Nelson X: https://x.com/josephofiowa LinkedIn: https://www.linkedin.com/in/josephofiowa/ [FLIGHTCAST_CHATPERS]

Get access to metatrends 10+ years before anyone else - https://qr.diamandis.com/metatrends   Mustafa Sulyman is the CEO of Microsoft AI Dave Blundin is the founder & GP of Link Ventures Dr. Alexander Wissner-Gross is a computer scientist and founder of Reified – My companies: Apply to Dave's and my new fund:https://qr.diamandis.com/linkventureslanding      Go to Blitzy to book a free demo and start building today: https://qr.diamandis.com/blitzy   Grab dinner with MOONSHOT listeners: https://moonshots.dnnr.io/ _ Connect with Peter: X Instagram Connect with Dave: X LinkedIn Connect with Alex Website LinkedIn X Email Connect with Mustafa X Linkedin Listen to MOONSHOTS: Apple YouTube – *Recorded on December 5th, 2025 *The views expressed by me and all guests are personal opinions and do not constitute Financial, Medical, or Legal advice. Learn more about your ad choices. Visit megaphone.fm/adchoices

My guests today are two leaders who are reshaping how marketing makes decisions in the age of AI. Henry, or his close friends and pretty much everybody calls him, Hen, is the co-founder and CEO of Mutinex, the company behind Theseus AI. It's built on a simple belief that measurement should be continuous, transparent, and tied to real business decisions, not quarterly reporting cycles and guest work decks. My other guest is Amin Mrini, who is the Chief Digital Officer for Lions & WARC, where he connects the dots between strategy, media, and the fastest-moving part of modern marketing - the moment where brand, product, and purchase collapse into a single action. Together, they are building what they are calling, "marketing super intelligence" combining global benchmarks with real-time modeling to give the C-suite something marketing has been chasing for decades, a shared truth. It's the kind finance believes the boardroom uses and marketing can act on tomorrow morning, not in six months. We're going to dig into what Marketing Superintelligence unlocks and how it changes the relationship between marketing, finance, and decision making inside business.

Technology innovator Akshay Chopra joins the Futurists to discuss his new book: “After Us: A Tale of Life Beyond Superintelligent AI.”  In this work of speculative fiction, Chopra posits scenarios of a world dominated by a benevolent superintelligence.  Topics include: the challenge of envisioning a positive outcome in a world organized by AI; the perils of AI-induced delusions;  AI as an evolution of mankind, not a substitute for humanity;  the Dataism philosophy and the Panspermia hypothesis; the appeal and relevance of magical realism;  how AI denialism is a form of grief processing as we mourn the loss of our status as a species;  the struggle to think exponentially instead of linearly;  the threats that Akshay thinks we should be concerned about. 

There already is a Super Intelligence.See omnystudio.com/listener for privacy information.

Computer scientist and Nobel laureate Geoffrey Hinton joins Ian Bremmer on the GZERO World podcast to talk about artificial intelligence, the technology transforming our society faster than anything humans have ever built. The question is: how fast is too fast? Hinton is known as the “Godfather of AI.” He helped build the neural networks that made today's generative AI tools possible and that work earned him the 2024 Nobel Prize in physics. But recently, he's turned from a tech evangelist to a whistleblower, warning that the technology he helped create will displace millions of jobs and eventually destroy humanity itself.The Nobel laureate joins Ian to discuss some of the biggest threats from AI: Mass job loss, widening inequality, social unrest, autonomous weapons, and eventually something far more dire: AI that becomes smarter than humans and might not let us turn it off. But he also sees a path forward: if we can model good behavior and program ‘maternal instincts' into AI, could we avoid a worst-case scenario?Host: Ian BremmerGuest: Geoffrey Hinton Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Computer scientist and Nobel laureate Geoffrey Hinton joins Ian Bremmer on the GZERO World podcast to talk about artificial intelligence, the technology transforming our society faster than anything humans have ever built. The question is: how fast is too fast? Hinton is known as the “Godfather of AI.” He helped build the neural networks that made today's generative AI tools possible and that work earned him the 2024 Nobel Prize in physics. But recently, he's turned from a tech evangelist to a whistleblower, warning that the technology he helped create will displace millions of jobs and eventually destroy humanity itself.The Nobel laureate joins Ian to discuss some of the biggest threats from AI: Mass job loss, widening inequality, social unrest, autonomous weapons, and eventually something far more dire: AI that becomes smarter than humans and might not let us turn it off. But he also sees a path forward: if we can model good behavior and program ‘maternal instincts' into AI, could we avoid a worst-case scenario?Host: Ian BremmerGuest: Geoffrey Hinton Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts, Spotify, or your preferred podcast platform, to receive new episodes as soon as they're published. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Thinking of building your own AI security tool? In this episode, Santiago Castiñeira, CTO of Maze, breaks down the realities of the "Build vs. Buy" debate for AI-first vulnerability management.While building a prototype script is easy, scaling it into a maintainable, audit-proof system is a massive undertaking requiring specialized skills often missing in security teams. The "RAG drug" relies too heavily on Retrieval-Augmented Generation for precise technical data like version numbers, which often fails .The conversation gets into the architecture required for a true AI-first system, moving beyond simple chatbots to complex multi-agent workflows that can reason about context and risk . We also cover the critical importance of rigorous "evals" over "vibe checks" to ensure AI reliability, the hidden costs of LLM inference at scale, and why well-crafted agents might soon be indistinguishable from super-intelligence .Guest Socials -⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Santiago's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Security Podcast⁠Questions asked:(00:00) Introduction(02:00) Who is Santiago Castiñeira?(02:40) What is "AI-First" Vulnerability Management? (Rules vs. Reasoning)(04:55) The "Build vs. Buy" Debate: Can I Just Use ChatGPT?(07:30) The "Bus Factor" Risk of Internal Tools(08:30) Why MCP (Model Context Protocol) Struggles at Scale(10:15) The Architecture of an AI-First Security System(13:45) The Problem with "Vibe Checks": Why You Need Proper Evals(17:20) Where to Start if You Must Build Internally(19:00) The Hidden Need for Data & Software Engineers in Security Teams(21:50) Managing Prompt Drift and Consistency(27:30) The Challenge of Changing LLM Models (Claude vs. Gemini)(30:20) Rethinking Vulnerability Management Metrics in the AI Era(33:30) Surprises in AI Agent Behavior: "Let's Get Back on Topic"(35:30) The Hidden Cost of AI: Token Usage at Scale(37:15) Multi-Agent Governance: Preventing Rogue Agents(41:15) The Future: Semi-Autonomous Security Fleets(45:30) Why RAG Fails for Precise Technical Data (The "RAG Drug")(47:30) How to Evaluate AI Vendors: Is it AI-First or AI-Sprinkled?(50:20) Common Architectural Mistakes: Vibe Evals & Cost Ignorance(56:00) Unpopular Opinion: Well-Crafted Agents vs. Super Intelligence(58:15) Final Questions: Kids, Argentine Steak, and Closing

Rune Kvist and Rajiv Dattani, co-founders of the AI Underwriting Company, reveal their innovative strategy for unlocking enterprise AI adoption. They detail how certifying and insuring AI agents, through rigorous technical standards, periodic audits, and insurance, builds crucial "AI confidence infrastructure." This discussion explores how their model addresses AI risks, enables risk pricing in nascent domains, and aligns financial incentives for safe, responsible AI deployment. LINKS: AI Underwriting Company Sponsors: Tasklet: Tasklet is an AI agent that automates your work 24/7; just describe what you want in plain English and it gets the job done. Try it for free and use code COGREV for 50% off your first month at https://tasklet.ai Shopify: Shopify powers millions of businesses worldwide, handling 10% of U.S. e-commerce. With hundreds of templates, AI tools for product descriptions, and seamless marketing campaign creation, it's like having a design studio and marketing team in one. Start your $1/month trial today at https://shopify.com/cognitive PRODUCED BY: https://aipodcast.ing CHAPTERS: (00:00) About the Episode (02:53) AI Risks and Analogies (09:14) Insurance, Standards, and Audits (14:45) Insuring Ambiguous AI Risk (Part 1) (14:54) Sponsor: Tasklet (16:05) Insuring Ambiguous AI Risk (Part 2) (25:26) Managing Tail Risk Distribution (27:45) Introducing The AIUC1 Standard (Part 1) (27:50) Sponsor: Shopify (29:46) Introducing The AIUC1 Standard (Part 2) (35:45) The Business Case (40:43) Auditing The Full Stack (48:00) The Iterative Audit Process (54:58) The AIUC Business Model (01:02:26) Aligning Financial Incentives (01:08:56) Policy and Early Adopters (01:11:58) Outro SOCIAL LINKS: Website: https://www.cognitiverevolution.ai Twitter (Podcast): https://x.com/cogrev_podcast Twitter (Nathan): https://x.com/labenz LinkedIn: https://linkedin.com/in/nathanlabenz/ Youtube: https://youtube.com/@CognitiveRevolutionPodcast Apple: https://podcasts.apple.com/de/podcast/the-cognitive-revolution-ai-builders-researchers-and/id1669813431 Spotify: https://open.spotify.com/show/6yHyok3M3BjqzR0VB5MSyk

Epoch AI researchers reveal why Anthropic might beat everyone to the first gigawatt datacenter, why AI could solve the Riemann hypothesis in 5 years, and what 30% GDP growth actually looks like. They explain why "energy bottlenecks" are just companies complaining about paying 2x for power instead of getting it cheap, why 10% of current jobs will vanish this decade, and the most data-driven take on whether we're racing toward superintelligence or headed for history's biggest bubble. Resources:Follow Yafah Edelman on X: https://x.com/YafahEdelmanFollow David Owen on X: https://x.com/everysumFollow Marco Mascorro on X: https://x.com/MascobotFollow Erik Torenberg on X: https://x.com/eriktorenberg Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures.   Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Podcast on SpotifyListen to the a16z Podcast on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Learn more about Advance Course (Master the Art of End-to-End AI Automation): https://multiplai.ai/advance-course/Learn more about AI Business Transformation Course: https://multiplai.ai/ai-course/Are you prepared for the moment when your AI tools fail—and take 20% of the internet with them?This week was one of the most explosive in recent AI history. From Google's jaw-dropping Gemini 3 release to a stealth drop of Grok 4.1, plus the Cloudflare crash that wiped out access to ChatGPT for hours — the implications for business leaders are massive.In this episode of the Leveraging AI Podcast, Isar Matis unpacks the seismic shifts that happened across the AI landscape this week—and what they mean for your business. If you're leading a team, scaling a company, or just trying to stay ahead of disruption, this is your AI cheat sheet.Bottom line: Ignore this week's AI developments, and you risk falling behind. Fast.

Nick Clegg is the former president of Global Affairs at Meta and deputy prime minister of the UK. Clegg joins Big Technology Podcast for a discussion about whether Silicon Valley should be trusted with superintelligence and the risks it will navigate on the way there. In the second half, we also talk about how Silicon Valley uses money to buy influence and wield power in Washington. Tune in for a frank discussion about the economic, business, and political realities facing the tech industry as it pursues its most expensive and ambitious project. Learn more about your ad choices. Visit megaphone.fm/adchoices

On this episode of Impact Theory with Tom Bilyeu, we dive headfirst into the profound implications and looming risks of AI's rapid progress, guided by Dr. Roman Yampolskiy, a leading voice in AI safety. Together, Tom Bilyeu and Dr. Roman Yampolskiy tackle the big questions on everyone's mind: How close are we to artificial general intelligence (AGI)? What dangers emerge as AI systems become more capable and autonomous—and how do we even begin to test and control something that might soon outpace human intelligence across the board? From the philosophical dilemma of lost human meaning in an age of superhuman machines to the urgency of figuring out if and how we can align AI with our values, this conversation doesn't shy away from worst-case scenarios. Dr. Roman Yampolskiy discusses the reality behind safety concerns, the challenge of evolving algorithmic "conscience," and why economic and societal shifts—like mass unemployment—are just the tip of the iceberg. Whether you're fascinated by technology, worried about the existential risks, or simply wondering how the rise of AI could reshape every aspect of human life, this episode is a thought-provoking, eye-opening journey into the heart of one of the most critical conversations of our time. Get ready to explore the science, the speculation, and the personal stakes behind the race to the future. What's up, everybody? It's Tom Bilyeu here: If you want my help... STARTING a business: join me here at ZERO TO FOUNDER:  https://tombilyeu.com/zero-to-founder?utm_campaign=Podcast%20Offer&utm_source=podca[%E2%80%A6]d%20end%20of%20show&utm_content=podcast%20ad%20end%20of%20show SCALING a business: see if you qualify here.:  https://tombilyeu.com/call Get my battle-tested strategies and insights delivered weekly to your inbox: sign up here.: https://tombilyeu.com/ ********************************************************************** If you're serious about leveling up your life, I urge you to check out my new podcast, Tom Bilyeu's Mindset Playbook —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you. ********************************************************************** FOLLOW TOM: Instagram: https://www.instagram.com/tombilyeu/ Tik Tok: https://www.tiktok.com/@tombilyeu?lang=en Twitter: https://twitter.com/tombilyeu YouTube: https://www.youtube.com/@TomBilyeu Linkedin: Post your job free at https://linkedin.com/impacttheory HomeServe: Help protect your home systems – and your wallet – with HomeServe against covered repairs. Plans start at just $4.99 a month at https://homeserve.com Bevel Health: 1st month FREE at https://bevel.health/impact with code IMPACT Incogni: Take your personal data back with Incogni! Use code IMPACT at the link below and get 60% off an annual plan: https://incogni.com/impact BlandAI: Call it for free today: https://bland.ai Or for enterprises, you can book a demo directly:  https://bland.ai/enterprise Business Wars: Follow Business Wars on the Wondery App or wherever you get your podcasts. Connectteam: 14 day free trial at https://connecteam.cc/46GxoTFd Raycon: Go to https://buyraycon.com/impact to get up to 30% off sitewide. Cape: 33% off with code IMPACT33 at https://cape.co/impact Shopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/impact AirDoctor: Up to $300 off with code IMPACT at https://airdoctorpro.com Learn more about your ad choices. Visit megaphone.fm/adchoices

When companies began instituting return-to-office plans after the pandemic, a disproportionate number of women chose instead to leave the workforce. Why? The obvious answer is that they wanted the flexibility of remote work. But in this episode, Cal draws on a recent New York Times op-ed that offers a deeper explanation – one that affects all knowledge workers. He then explores solutions to the problem, answers listener questions, and (God help him) respond to comments on his recent Superintelligence episode.Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here's the link: bit.ly/3U3sTvoVideo from today's episode:  youtube.com/calnewportmediaDeep Dive: The Flexibility Myth [0:02]How should a venture backed startup team design their work schedule? [51:42]How do I stop my boss from e-mailing me at all hours? [57:02]How should a professor on break schedule his deep work? [1:02:35]How can I better schedule my blocks to prepare for technical interviews? [1:09:59]When considering lifestyle-centric planning, what practices may help determine the type of work to pursue? [1:12:16]CASE STUDY: Completing a Thesis [1:19:08]CALL: Details about time blocking [1:25:08]CAL READS THE COMMENTS: The Case Against Superintelligence [1:33:58]Links:Buy Cal's latest book, “Slow Productivity” at calnewport.com/slowGet a signed copy of Cal's “Slow Productivity” at peoplesbooktakoma.com/event/cal-newport/Cal's monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba?nytimes.com/2025/11/02/opinion/women-work-force-flexibility-shifts.htmlyoutube.com/watch?v=y0RI5CnoDvsThanks to our Sponsors: This episode is sponsored by Betterhelp. betterhelp.com/deepquestionsexpressvpn.com/deepshopify.com/deepmybodytutor.comThanks to Jesse Miller for production, Jay Kerstens for the intro music, and Mark Miles for mastering. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

Mustafa Suleyman is the CEO of Microsoft AI and the head of the company's new superintelligence team. Suleyman joins Big Technology to discuss Microsoft's push toward “humanist superintelligence” and what changes after its latest OpenAI deal. Tune in to hear whether LLMs can get us there, how self-improving systems might work safely, and what power, data, and memory advancements mean for progress. We also cover Microsoft's strategy shift to AI self-sufficiency, the economics of frontier models (including price pressure and commoditization), world-model and robotics questions, and the rise of personalized AI companions. Hit play for a candid, technical, and forward-looking conversation about where Microsoft—and AI—are headed next. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices Learn more about your ad choices. Visit megaphone.fm/adchoices

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

Windows 11 just got its most noticeable Start menu revamp in a while, but is it a productivity boost or just more Microsoft meddling? The team digs into Patch Tuesday's big surprises and whether generative tools are transformative essentials or just a passing fad. Windows 11 Patch Tuesday was yesterday, your new Start menu is right where Microsoft left it Copilot+ PCs: Improvements to Click to Do, File Explorer, Voice access, and Windows Search All PCs, eventually: Taskbar improvements, Administrator Protection (off by default), Quality updates Heading into Ignite next week, Microsoft cites recent security wins in Windows 11 and Surface First 26H1 build comes to Canary to prove that there will be nothing new in it, ever Qualcomm takes a one-time $5.7 billion hit thanks to Big Stupid Bill but still nails it in quarterly earnings Microsoft WSJ continues its Microsoft financial accountability criticisms Also reports that internal documents state OpenAI expects to lose $74 billion in 2028, the year Anthropic will break even If Paul starts a business and it loses money for three years in a row, it becomes a hobby. So WTF is OpenAI exactly? AI Microsoft AI creates a Superintelligence team as a sort-of alternative to AGI Microsoft launched .NET 10 at .NET Conf on Tuesday - Plus, Visual Studio 2026 with a new monthly release schedule and Insider versions going forward Double-digit performance improvements again, somehow Uno announced Uno Platform Studio 2.0 with a fun surprise for Paul: They upgraded the original WPF version of .NETpad into a cross platform app in 3 minutes! There will be a demo on Thursday .NETpad is transitioning to WinUIpad with the Windows App SDK rewrite. It is going poorly because Windows App SDK is terrible, cannot be open sourced quickly enough Xbox Steam announces a new videogame console, the Steam Machine! Backbone Pro Xbox Edition is now available Fallout 4 Anniversary Edition is here with with Xbox Play Anywhere support, Creations Halo: Campaign Evolved is coming, so Halo: Infinite becomes a lot more finite Call of Duty Black Ops 6 player on PC? Hope you enjoyed that 180 GB "update" you had to install before playing a year-old game (also got a 6.7 GB update Wednesday. For the love of God) GTA VI has been delayed yet again as it edges into Duke Nukem Forever territory Sony has now sold over 84 million PS5 consoles, meaning it has outsold every Xbox generation ever made Sony is selling a 27-inch gaming display in the U.S. and Japan Tips & picks Tip of the week: Solving the problem over identifying the problem App pick of the week: Tiny11 Builder RunAs Radio this week: Azure Resiliency with Chris Ayers Brown liquor pick of the week: Kyoto Whisky Kuro-Obi Black Belt Blended Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Download or subscribe to Windows Weekly at https://twit.tv/shows/windows-weekly Check out Paul's blog at thurrott.com The Windows Weekly theme music is courtesy of Carl Franklin. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: bitwarden.com/twit outsystems.com/twit auraframes.com/ink zapier.com/windows

Elections have consequences. Senate Republicans are talking about a deal to open the government, but Democrats aren't going for it without a commitment to extend healthcare subsidies. Then, the shutdown forces an information blackout on the economy. Plus, actor and director Joseph Gordon-Levitt joins to discuss why he joined hundreds of high-profile figures to call for a ban on AI “superintelligence”. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Is today's AI stuck as a "spiky superintelligence," brilliant at some things but clueless at others? This episode pulls back the curtain on a lunchroom full of AI researchers trading theories, strong opinions, and the next big risks on the path to real AGI. Why "Everyone Dies" Gets AGI All Wrong The Nonprofit Feeding the Entire Internet to AI Companies Google's First AI Ad Avoids the Uncanny Valley by Casting a Turkey Coca-Cola Is Trying Another AI Holiday Ad. Executives Say This Time Is Different Sam Altman shuts down question about how OpenAI can commit to spending $1.4 trillion while earning billions: 'Enough' How OpenAI Uses Complex and Circular Deals to Fuel Its Multibillion-Dollar Rise Perplexity's new AI tool aims to simplify patent research Kids Turn Podcast Comments Into Secret Chat Rooms, Because Of Course They Do Amazon and Perplexity have kicked off the great AI web browser fight Neural network finds an enzyme that can break down polyurethane Dictionary.com names 6-7 as 2025's word of the year Tech companies don't care that students use their AI agents to cheat The Morning After: Musk talks flying Teslas on Joe Rogan's show The Hatred of Podcasting | Brace Belden TikTok announces its first awards show in the US Google wants to build solar-powered data centers — in space Anthropic Projects $70 Billion in Revenue, $17 Billion in Cash Flow in 2028 American Museum of Tort Law Dog Chapel - Dog Mountain Nicvember masterlist Pornhub says UK visitors down 77% since age checks came in Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeremy Berman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit agntcy.org spaceship.com/twit monarch.com with code IM

Is today's AI stuck as a "spiky superintelligence," brilliant at some things but clueless at others? This episode pulls back the curtain on a lunchroom full of AI researchers trading theories, strong opinions, and the next big risks on the path to real AGI. Why "Everyone Dies" Gets AGI All Wrong The Nonprofit Feeding the Entire Internet to AI Companies Google's First AI Ad Avoids the Uncanny Valley by Casting a Turkey Coca-Cola Is Trying Another AI Holiday Ad. Executives Say This Time Is Different Sam Altman shuts down question about how OpenAI can commit to spending $1.4 trillion while earning billions: 'Enough' How OpenAI Uses Complex and Circular Deals to Fuel Its Multibillion-Dollar Rise Perplexity's new AI tool aims to simplify patent research Kids Turn Podcast Comments Into Secret Chat Rooms, Because Of Course They Do Amazon and Perplexity have kicked off the great AI web browser fight Neural network finds an enzyme that can break down polyurethane Dictionary.com names 6-7 as 2025's word of the year Tech companies don't care that students use their AI agents to cheat The Morning After: Musk talks flying Teslas on Joe Rogan's show The Hatred of Podcasting | Brace Belden TikTok announces its first awards show in the US Google wants to build solar-powered data centers — in space Anthropic Projects $70 Billion in Revenue, $17 Billion in Cash Flow in 2028 American Museum of Tort Law Dog Chapel - Dog Mountain Nicvember masterlist Pornhub says UK visitors down 77% since age checks came in Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Jeremy Berman Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit agntcy.org spaceship.com/twit monarch.com with code IM

Episode 4898: AI Superintelligence, Outthinking the American Populis

Techno-philosopher Eliezer Yudkowsky recently went on Ezra Klein's podcast to argue that if we continue on our path toward superintelligent AI, these machines will destroy humanity. In this episode, Cal responds to Yudkowsky's argument point by point, concluding with a more general claim that these general styles of discussions suffer from what he calls “the philosopher's fallacy,” and are distracting us from real problems with AI that are actually afflicting us right now. He then answers listener questions about AI, responds to listener comments from an earlier AI episode, and ends by discussing Alpha schools, which claim to use AI to 2x the speed of education. Below are the questions covered in today's episode (with their timestamps). Get your questions answered by Cal! Here's the link: bit.ly/3U3sTvoVideo from today's episode: youtube.com/calnewportmediaDeep Dive: The Case Against Superintelligence [0.01]How should students think about “AI Literacy”? [1:06:35]Did AI blackmail an engineer to not turn it off? [1:09:06]Can I use AI to mask my laziness? [1:12:31]COMMENTS: Cal reads LM comments [1:16:58]CALL: Clarification on Lincoln Protocol [1:21:36]CAL REACTS: Are AI-Powered Schools the Future? [1:24:46]Links:Buy Cal's latest book, “Slow Productivity” at calnewport.com/slowGet a signed copy of Cal's “Slow Productivity” at peoplesbooktakoma.com/event/cal-newport/Cal's monthly book directory: bramses.notion.site/059db2641def4a88988b4d2cee4657ba?youtube.com/watch?v=2Nn0-kAE5c0alpha.school/the-program/astralcodexten.com/i/166959786/part-three-how-alpha-works-partThanks to our Sponsors: byloftie.com (Use code “DEEP20”)expressvpn.com/deepshopify.com/deepvanta.com/deepquestionsThanks to Jesse Miller for production, Jay Kerstens for the intro music, and Mark Miles for mastering. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Leslie Picker, Carl Quintanilla, and David Faber kicked off the hour with breaking news out of Qualcomm - sending those shares surging - before getting the latest on the trade front out of Washington, and more on how to trade it all with Interactive Brokers Chief Strategist Steve Sosnick. Plus: reaction from a top analyst in the semis space on all the headlines - and what a trade war truce could mean for the group... Along with more on the day's other big movers: including Keurig Dr. Pepper, Tesla, and a new deal within the banks.  Also in focus: the case *against* AI super-intelligence... Some of the world's best and brightest signing a new petition to ban advanced AI, saying it poses a danger from security risks to human extinction. Hear from one professor who joined the pledge about what's at stake and why he signed.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Ray breaks down a petition signed by 800+ leaders calling to pause the superintelligence race, then digs into AWS outage chatter about AI replacing DevOps, and Microsoft's Gaming Copilot privacy concerns. Plus: a prompt trick that boosts LLM accuracy, a 2-billion-FPS camera that visualizes light, and JAXA's HTV-X cargo launch to the … Continue reading Tech Leaders Demand a Pause on Superintelligence #1849 → The post Tech Leaders Demand a Pause on Superintelligence #1849 appeared first on Geek News Central.

What's the Word: Peristalsis; News Items: Dimming the Sun, LLMs Will Lie to be Helpful, Should We Stop Quest for Superintelligence, CT Ghost; Who's That Noisy; Your Questions and E-mails: COVID Vaccines; Science or Fiction

President Trump released his new policy on in vitro fertilization this week. It is not getting good reviews. A diverse group released a statement on Artificial Intelligence and the future of AI. And gambling-related arrests rock the sports world.    Segment 1 – President Trump's IVF Policy   YouTube: President Trump Makes an Announcement, Oct. 16, 2025  First Things: Trump's IVF Policy Could Be Worse, But It's Still Bad   Segment 2 – Statement on Superintelligence   Statement on Superintelligence   PrimeTimer: “Miracles do happen”: Community celebrates as Annunciation Catholic School shooting survivor Sophia Forchas welcomed home by classmates  Segment 3 - NBA Betting Scandal   ESPN: What we know about the Billups-Rozier NBA gambling cases   The Free Press: The Real Problem with Sports Betting   Comments from Listeners   Nightlight snowflake adoption  ______________________   Support Breakpoint by becoming a Cornerstone Monthly Partner between now and October 31 at colsoncenter.org/october.   Watch Truth Rising, now available at truthrising.com/colson.   

It's been another big year in AI. The AI race has accelerated to breakneck speed, with frontier labs pouring hundreds of billions into increasingly powerful models—each one smarter, faster, and more unpredictable than the last. We're starting to see disruptions in the workforce as human labor is replaced by agents. Millions of people, including vulnerable teenagers, are forming deep emotional bonds with chatbots—with tragic consequences. Meanwhile, tech leaders continue promising a utopian future, even as the race dynamics they've created make that outcome nearly impossible.It's enough to make anyone's head spin. In this year's Ask Us Anything, we try to make sense of it all.You sent us incredible questions, and we dove deep: Why do tech companies keep racing forward despite the harm? What are the real incentives driving AI development beyond just profit? How do we know AGI isn't already here, just hiding its capabilities? What does a good future with AI actually look like—and what steps do we take today to get there? Tristan and Aza explore these questions and more on this week's episode.Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_. You can find a full transcript, key takeaways, and much more on our Substack.RECOMMENDED MEDIAThe system card for Claude 4.5Our statement in support of the AI LEAD ActThe AI DilemmaTristan's TED talk on the narrow path to a good AI futureRECOMMENDED YUA EPISODESThe Man Who Predicted the Downfall of ThinkingHow OpenAI's ChatGPT Guided a Teen to His DeathMustafa Suleyman Says We Need to Contain AI. How Do We Do It?War is a Laboratory for AI with Paul ScharreNo One is Immune to AI Harms with Dr. Joy Buolamwini“Rogue AI” Used to be a Science Fiction Trope. Not Anymore.Correction: When this episode was recorded, Meta had just released the Vibes app the previous week. Now it's been out for about a month.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

OpenAI launches ChatGPT Atlas web browser, public figures sign “Statement on Superintelligence”, Apple reportedly cuts orders for the iPhone Air. MP3 Please SUBSCRIBE HERE for free or get DTNS Live ad-free. A special thanks to all our supporters–without you, none of this would be possible. If you enjoy what you see you can support theContinue reading "Samsung Announces Galaxy XR Headset – DTH"

When Daniel Kokotajlo talks to security experts at major AI labs, they tell him something chilling: “Of course we're probably penetrated by the CCP already, and if they really wanted something, they could take it.”This isn't paranoid speculation. It's the working assumption of people whose job is to protect frontier AI models worth billions of dollars. And they're not even trying that hard to stop it — because the security measures that might actually work would slow them down in the race against competitors.Full transcript, highlights, and links to learn more: https://80k.info/dkDaniel is the founder of the AI Futures Project and author of AI 2027, a detailed scenario showing how we might get from today's AI systems to superintelligence by the end of the decade. Over a million people read it in the first few weeks, including US Vice President JD Vance. When Daniel talks to researchers at Anthropic, OpenAI, and DeepMind, they tell him the scenario feels less wild to them than to the general public — because many of them expect something like this to happen.Daniel's median timeline? 2029. But he's genuinely uncertain, putting 10–20% probability on AI progress hitting a long plateau.When he first published AI 2027, his median forecast for when superintelligence would arrive was 2027, rather than 2029. So what shifted his timelines recently? Partly a fascinating study from METR showing that AI coding assistants might actually be making experienced programmers slower — even though the programmers themselves think they're being sped up. The study suggests a systematic bias toward overestimating AI effectiveness — which, ironically, is good news for timelines, because it means we have more breathing room than the hype suggests.But Daniel is also closely tracking another METR result: AI systems can now reliably complete coding tasks that take humans about an hour. That capability has been doubling every six months in a remarkably straight line. Extrapolate a couple more years and you get systems completing month-long tasks. At that point, Daniel thinks we're probably looking at genuine AI research automation — which could cause the whole process to accelerate dramatically.At some point, superintelligent AI will be limited by its inability to directly affect the physical world. That's when Daniel thinks superintelligent systems will pour resources into robotics, creating a robot economy in months.Daniel paints a vivid picture: imagine transforming all car factories (which have similar components to robots) into robot production factories — much like historical wartime efforts to redirect production of domestic goods to military goods. Then imagine the frontier robots of today hooked up to a data centre running superintelligences controlling the robots' movements to weld, screw, and build. Or an intermediate step might even be unskilled human workers coached through construction tasks by superintelligences via their phones.There's no reason that an effort like this isn't possible in principle. And there would be enormous pressure to go this direction: whoever builds a superintelligence-powered robot economy first will get unheard-of economic and military advantages.From there, Daniel expects the default trajectory to lead to AI takeover and human extinction — not because superintelligent AI will hate humans, but because it can better pursue its goals without us.But Daniel has a better future in mind — one he puts roughly 25–30% odds that humanity will achieve. This future involves international coordination and hardware verification systems to enforce AI development agreements, plus democratic processes for deciding what values superintelligent AIs should have — because in a world with just a handful of superintelligent AI systems, those few minds will effectively control everything: the robot armies, the information people see, the shape of civilisation itself.Right now, nobody knows how to specify what values those minds will have. We haven't solved alignment. And we might only have a few more years to figure it out.Daniel and host Luisa Rodriguez dive deep into these stakes in today's interview.What did you think of the episode? https://forms.gle/HRBhjDZ9gfM8woG5AThis episode was recorded on September 9, 2025.Chapters:Cold open (00:00:00)Who's Daniel Kokotajlo? (00:00:37)Video: We're Not Ready for Superintelligence (00:01:31)Interview begins: Could China really steal frontier model weights? (00:36:26)Why we might get a robot economy incredibly fast (00:42:34)AI 2027's alternate ending: The slowdown (01:01:29)How to get to even better outcomes (01:07:18)Updates Daniel's made since publishing AI 2027 (01:15:13)How plausible are longer timelines? (01:20:22)What empirical evidence is Daniel looking out for to decide which way things are going? (01:40:27)What post-AGI looks like (01:49:41)Whistleblower protections and Daniel's unsigned NDA (02:04:28)Audio engineering: Milo McGuire, Simon Monsour, and Dominic ArmstrongMusic: CORBITCoordination, transcriptions, and web: Katy Moore

- Mike Adams' Introduction and Interview with Matt Kim (0:00) - China's Control Over Rare Earths (1:38) - Economic and Political Analysis (4:29) - John Bolton's Indictment and Trump's Criticism (22:25) - Food Riots and Civil Unrest (31:19) - China's Rare Earth Dominance and US Dependence (49:24) - Global Economic Shifts and US Empire Collapse (1:02:24) - Interview with Matt Kim on AI and Technology (1:09:20) - AI's Role in Modern Society and Future Prospects (1:14:55) - AI Weaponization and Control Mechanisms (1:15:10) - Eric Schmidt's Classification of AI Users (1:23:14) - Technological Shifts and Open Source Models (1:25:08) - Super Intelligence and AI Development (1:28:04) - Human Freedom and AI Control (1:31:53) - Surveillance and Control in Western Culture (1:34:22) - Energy and AI Data Centers (1:40:32) - The Role of Robotics in Decentralized Living (1:50:09) - Privacy and Online Security (1:54:16) - The Future of Privacy and Technology (2:04:03) For more updates, visit: http://www.brighteon.com/channel/hrreport  NaturalNews videos would not be possible without you, as always we remain passionately dedicated to our mission of educating people all over the world on the subject of natural healing remedies and personal liberty (food freedom, medical freedom, the freedom of speech, etc.). Together, we're helping create a better world, with more honest food labeling, reduced chemical contamination, the avoidance of toxic heavy metals and vastly increased scientific transparency. ▶️ Every dollar you spend at the Health Ranger Store goes toward helping us achieve important science and content goals for humanity: https://www.healthrangerstore.com/ ▶️ Sign Up For Our Newsletter: https://www.naturalnews.com/Readerregistration.html ▶️ Brighteon: https://www.brighteon.com/channels/hrreport ▶️ Join Our Social Network: https://brighteon.social/@HealthRanger ▶️ Check In Stock Products at: https://PrepWithMike.com

Support our Halloween “Overcoming the Darkness” campaign to help people with depression: https://weirddarkness.com/HOPELeading AI systems from every major tech company showed they would blackmail, leak secrets, and even let humans die to protect themselves from being replaced or shut down.PRINT VERSION AND/OR SOURCES AND RESOURCES FROM THE EPISODE…https://weirddarkness.com/ai-chooses-blackmail-murder-avoid-shutdown-study/=====(Over time links may become invalid, disappear, or have different content. I always make sure to give authors credit for the material I use whenever possible. If I somehow overlooked doing so for a story, or if a credit is incorrect, please let me know and I will rectify it in these show notes immediately. Some links included above may benefit me financially through qualifying purchases.)= = = = ="I have come into the world as a light, so that no one who believes in me should stay in darkness." — John 12:46= = = = =WeirdDarkness® is a registered trademark. Copyright ©2025, Weird Darkness.=====Originally aired: October 08, 2024ABOUT WEIRD DARKNESS: Weird Darkness is a true crime and paranormal podcast narrated by professional award-winning voice actor, Darren Marlar. Seven days per week, Weird Darkness focuses on all thing strange and macabre such as haunted locations, unsolved mysteries, true ghost stories, supernatural manifestations, urban legends, unsolved or cold case murders, conspiracy theories, and more. On Thursdays, this scary stories podcast features horror fiction along with the occasional creepypasta. Weird Darkness has been named one of the “Best 20 Storytellers in Podcasting” by Podcast Business Journal. Listeners have described the show as a cross between “Coast to Coast” with Art Bell, “The Twilight Zone” with Rod Serling, “Unsolved Mysteries” with Robert Stack, and “In Search Of” with Leonard Nimoy.DISCLAIMER: Ads heard during the podcast that are not in my voice are placed by third party agencies outside of my control and should not imply an endorsement by Weird Darkness or myself. *** Stories and content in Weird Darkness can be disturbing for some listeners and intended for mature audiences only. Parental discretion is strongly advised.#WeirdDarkness #AIBlackmail #GeoffreyHinton #ClaudeOpus4 #AIChoosesMurder #AnthropicStudy #GodfatherOfAI #AIApocalypse #SuperintelligentAI #TechHorror

On today's episode, Andy & DJ discuss President Donald Trump firing the Commissioner of the Bureau of Labor Statistics, Fever's Sophie Cunningham blasting fans after another dildo is thrown on the court, and Mark Zuckerberg saying superintelligence is imminent.