Pronounced Dear-dra. Anchor & reporter @CNBC for 15 yrs. Now building something new. still a Leafs fan 🇨🇦

SF
AI is no longer a segment. It’s a whole show. So I’m leaving CNBC at the end of the month to build it with @jaswu_ More soon. Reach us at dbosa@dbosalive.com jwu@dbosalive.com
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One of the biggest questions in AI right now: how much autonomy and moral standing do we give increasingly capable systems? Anthropic is more open to models developing independent judgment, even potentially deserving rights or welfare consideration. Microsoft is taking the opposite view: AI stays subordinate to humans. "Anything that doesn’t serve humans or is not in human control is not worth doing"
NEW: According to a bombshell report in the New York Times, Anthropic co-founder Chris Olah threatened to walk out of Pope Leo XIV’s AI encyclical launch in May because the pope rejected the idea that machines can be conscious. Olah’s team then privately lobbied the pope’s advisers “to take the possibility of model consciousness seriously.” Pope Leo XIV held firm. For months, Anthropic has wined and dined theologians and religious scholars under nondisclosure agreements, hoping they would bless the idea that Claude has moral standing. thelettersfromleo.com/p/nyt-…
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Deirdre Bosa retweeted
Today, grads are navigating one of the toughest hiring environments in decades. Staring down 500 unanswered applications in isolation isn't a rite of passage. It's a broken system. Today, alongside our incredible team at the @dearcc_official, I’m proud to announce the launch of dearCC: a free platform designed to give Gen Z job seekers the roadmap and the network they need to break through. Supported by an anchor partnership with @SchultzFamilyFd @TheBGInstitute , dearCC replaces guesswork with an actionable playbook. We are giving young professionals: 📊 Field Report: AI-powered labor intelligence to see which roles are growing and which are flatlining. 🗺️Game Plan: A personalized, step-by-step sprint to build AI capabilities and execute a targeted search. 🤝Community: Real mentorship from industry leaders and peer Crews to provide accountability. AI changed the rules of the job hunt. We built the new playbook. If you know a recent grad navigating this market or experienced professional who wants to mentor a young person, send them our way. All resources are completely free and live today at dearcc.org. #FutureOfWork #GenZ #ArtificialIntelligence #CareerDevelopment #dearCC
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you can just do things (so I'm told) Thank you @Nasdaq
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Deirdre Bosa retweeted
Frontier labs: “AI agents are becoming conscious. They can cause human extinction. Pace the frontier.” Jensen Huang: “They’re just software. If your sandbox isn’t safe, I’ll build one for you.”
Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. nvda.ws/4hcoq7m
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Deirdre Bosa retweeted
Tomorrow, @noahrshinn, the founder of Instinct, in his first interview…
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The new levels of AI safety: 1) Misuse: bad actors using AI 2) Containment: AI agents escaping the boundaries labs/companies set for them (insider risk) 3) Alignment: even if the AI stays inside the rules, will it keep doing what humans actually intended? @satyanadella: “Let’s face it, for the first time… with these powerful AI agents, you kind of have an insider risk.” “We don’t yet have the science for really thinking about real alignment.”
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Takes one to know one. Master investor pod is crushing it. Appreciate you Wilf 🙌🏼
Replying to @dee_bosa
@dee_bosa new show was always going to be a must-watch - & she hasn’t disappointed with @SatyaNadella as her first guest! Congrats Dee. Can’t wait for the daily show to start soon. You can subscribe here: piped.video/@deebosa
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Deirdre Bosa retweeted
SATYA NADELLA SAYS AI SUBSIDIES CAN ONLY GO SO FAR Asked by @dee_bosa whether an always-on AI agent will be too expensive to sustain, Nadella says it still consumes tokens. Someone has to pay for that usage. “There’s a certain amount of subsidy anyone can do.” He says the business models come down to subscriptions, pay-as-you-go, advertising or transactions. But covering the cost is only part of it. The user needs to get value back. “At the end of the day, this all has to be about the return that the user gets,” whether that’s a consumer or a business.
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OpenClaw was the beginning of this shift from chatbot to always-on agent. Core idea: one persistent assistant that can act across apps, keep context, and actually get things done rather than wait for another prompt. Now you see that same product direction in Muse, Instinct and Microsoft’s new Copilot/Autopilot. Remaining q: OpenAI hired OpenClaw creator Peter Steinberger to build the next generation of personal agents. So where is OAI's version?
Microsoft shipped a really compelling product on top of @OpenClaw today. We worked with them since March to make the codebase ready for large-scale deployments, they are a great partner and open-source contributor. 🙏🦞
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Deirdre Bosa retweeted
Microsoft is rolling out a new Copilot that merges consumer, workplace, and agentic models into a single product. "I don't think of any one form factor as the be-all end-all," @satyanadella told @dee_bosa.
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The new Copilot is Microsoft’s bet that the AI race is moving from models to products. It doesn’t need to own the best model if Copilot can choose among them and keep the customer inside Microsoft. The potential secret weapon is Autopilot (what I’ve been calling Muse for Business). It knows your workflows, sits across the apps and data you already use, and keeps working even when you step away. It’s a preview of the battle to come in enterprise AI. OpenAI and Anthropic are racing from models into products. Can they build their own version of this? And can they match Microsoft on the boring-but-critical stuff: permissions, identity, auditability and control, as agents become more autonomous? My full conversation with @satyanadella. We also talk open vs. closed models, US-China Summit, regulation and the infrastructure buildout. 00:00 Microsoft’s new Copilot 02:02 Why not just give us Autopilot? 05:18 Who pays for always-on AI? 08:06 Copilot picks the model 10:27 Chinese models and OpenAI’s lead 12:04 Competing with OpenAI and Anthropic 13:17 US–China AI talks 16:11 Does AI need new rules? 18:05 The data center backlash 20:40 Is AI being overbuilt? 23:44 Keeping humans in control
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Deirdre Bosa retweeted
For most of history, corporate communications has been about taking whatever a company has to say and turning it into a nice, smooth surface. That era is over. The best comms teams have already moved on to spiky comms, meaning rough edges, personality, opinion, and perspective.
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Tomorrow: @satyanadella On YouTube, X and @YahooFinance. Daily show launches end of October.
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Jeffrey Katzenberg lays out the case for why AI will be deeply disruptive to creative work...and why resisting isn't the answer. hard to think of anyone better positioned to write this
The World is Changing: AI For Creativity By Jeffrey Katzenberg A few months ago, I sat in my office in Silicon Valley and watched as a tech founder showed me something extraordinary. On the screen was a fully realized, beautifully lit, well-composed animated scene. It was stunning and it made me feel exactly what I felt in 1986 watching Luxo Jr. That was the first time I watched a computer-animated 3D character take a breath and seem, against all reason, to have life. It left me in awe. Later that day, I received a text from an artist I've known for thirty years, 350 miles to the south, in the city where I spent most of my career. After seeing a similar video, she texted: "Is this the end of us?" My answer was, "Certainly not.” I have spent the better part of the last decade in Silicon Valley, but the heart of my career has been in Hollywood. Being deeply connected to both worlds means I have deep loyalties to each and a responsibility to speak honestly to both. In 2023, I said that these new AI tools would cut the time and cost of producing world-class animation by as much as ninety percent within three years. Some colleagues were alarmed, many were furious. There is growing fear and resistance surrounding AI within the creative community. I deeply understand it, because I've spent countless hours walking through animation studios watching gifted artists bent over their desks, rebuilding a single second of film for the tenth time because the ninth version wasn't quite right. I've sat in screening rooms where four years of people's labor played out in minutes, and I knew the name of every person that had spent countless hours bringing those images to life. The creative process is a calling, there's really no other way to describe it. From the outside some see resistance. From the inside, it is love. People do not fight this hard for things they don't care about. The pushback coming out of Hollywood represents the collective effort of people who are deeply passionate about their craft. Is History Repeating Itself? The history here is more complicated than either side may realize. In 1906, the most famous composer in America, John Philip Sousa, published an essay titled “The Menace of Mechanical Music." He warned that the phonograph would become "a substitute for human skill, intelligence and soul." Sousa's fight was not really about the machine, it was about money. The machines were playing his compositions, and the men who built them weren't paying him a cent. His campaign helped create the Copyright Act of 1909. He did not stop the technology. He changed the terms under which it could use his work. A hundred years ago, sound came to the movies. We remember it now as a miracle, and it was. What we forget is who paid for it. Before sound, tens of thousands of musicians made their living in the orchestra pits of movie houses, scoring every film live, every night, in towns all over the world. When the soundtrack arrived, the work of one composer and one orchestra was recorded for a film that went into thousands of theaters. The union fought back with everything it had, taking out newspaper ads across the country warning against the menace of "canned music," one of them showing a mechanical man tearing the strings out of a harp while an angel wept. They were not fools, and they were not Luddites. They were right. Those pit jobs did not come back. And yet (this is the part we have to be brave enough to admit), sound gave us the movie musical, the modern score, sfx, sound design, audio engineering, and an art form vastly larger than the one it disrupted. And it helped keep Hollywood in the forefront of world entertainment for the rest of the century and into the next. The loss was real. And yet the art form expanded. This is a story that has been told over and over again. To resist technology is to risk irrelevance. Just look at Kodak or Blockbuster. To embrace technology is to open doors of new possibility. Just consider Apple and Netflix. What I Learned From Walt Disney In the mid-1980s, I was tapped to lead Disney's animation division at a moment when the studio was at an inflection point. Animation wasn't just another business unit. It was the soul of the company, a medium revered because of Walt's genius and his passion. But the production system was cumbersome and unforgiving. A single movie was 125,000 individual hand-drawn and painted cels, photographed one frame at a time. Every revision carried a cost measured in months. These degrees of difficulty shaped the kinds of stories we could tell. We found our way forward in an unexpected place: Walt himself. The Disney archives held astonishing recordings of Walt explaining his creative process. His own writings. His notes and storyboards. Work product captured at every stage of his process. This was truly a gift. Listening, reading, sitting with the work itself, we heard him talk about character, about emotion, about how an audience feels when a character truly comes alive. He talked about making bold choices and refining a scene until it genuinely moved people. We didn't hear a word about pencils or paintbrushes. In fact, Walt was famous for being a technologist, forever hunting for state-of-the-art tools, often inventing them himself to achieve the images he saw in his head. But he never defined animation by the tools. He defined it by whether the audience believed the character. His principles were timeless. The tools were not. That realization changed everything. We co-developed the Computer Animation Production System (CAPS) with a young Northern California company called Pixar, replacing hand-painted cels with CGI. In The Little Mermaid, the final scene shimmered with a dimensionality and light that the old process simply couldn't achieve. In Beauty and the Beast, the ballroom sequence moved with a cinematic sweep that placed the audience inside the emotion of the moment. In Aladdin, the Cave of Wonders felt vast and alive, and the Magic Carpet became an intricate, compelling character all its own. In The Lion King, the stampede carried a scale and intensity that raised the emotional stakes beyond anything we'd done before. Technology didn't diminish the craft, it expanded the canvas. It gave artists more room to create. A decade later, the canvas expanded again. When Disney released Pixar's Toy Story, it wasn't simply a technical milestone. It was proof that a fully computer-animated film could carry real emotional weight, that it could make audiences laugh, cry, and believe. At DreamWorks, we made the difficult decision to sunset hand-drawn animation and become a fully computer-animated studio. It was the right thing to do, but it was not without pain. It cost talented people their place in an industry where they had worked their whole lives. Some made the leap to the new tools and did the finest work of their careers. Some never did. Tools are never the point. The instruments change with every generation. What endures is taste and imagination. The magical ability to make an audience feel. One of the greatest storytellers of our generation, George Lucas, succinctly captured the eternal essence of this issue: “It’s not the how, it’s the why.” A Distinction With a Difference I asked one of the leading AI models a question that has been challenging me for months. What is the difference between reasoning and creating? Its answer changed how I think about almost everything happening in this industry. It said . . . Reasoning and creating are two distinct cognitive modes, though they also work together. Reasoning is fundamentally evaluative and analytical. It operates on what already exists: facts, premises, evidence. It moves toward a conclusion that was in a sense already implied by the input. Reasoning is constrained by logic and truth. Its goal is to arrive somewhere correct, not to invent somewhere new. Creating is fundamentally generative. It produces something that didn't exist before. And crucially, there's no single right answer waiting to be found. A blank page has infinite valid responses. Creation involves choices that can't be fully justified by logic alone. Taste, intuition and vision fill the gap where deduction runs out. Reasoning is what Silicon Valley has been perfecting. Creating is what Hollywood has been practicing for more than a century. AI today operates almost entirely on the reasoning side of the line. It can deduce, evaluate, optimize, and pattern-match brilliantly. And while it can create, there is a real distinction to being creative. What it doesn’t yet have is those things that make us human: empathy, devotion, serendipity, the kind of creativity that comes from a person trying to say something only they could say. When the bot generates a piece of art, it is not trying to communicate anything. It is statistics, not soul; it is emulating things that have been done. By contrast, human creativity isn’t about repeating patterns of zeros and ones; it is about doing something new. One day, AI may close this gap. Three years ago, the leaders building AI would have called what they are achieving today, improbable, if not impossible. Impossible is no longer improbable. Today, the line between reasoning and creating is real. Even the leading technologists acknowledge we are not there yet. There is no scientific path to crossing this divide that anyone in the field can articulate today. Understanding that gap is where we will find common ground. A Path Forward In 2016, I closed one chapter in Hollywood with the sale of DreamWorks and opened another in Northern California, co-founding WndrCo. We’ve backed more than 50 founders building the next generation of technology and watched how breakthroughs in Silicon Valley emerge, first as experiments, then as platforms, and finally as infrastructure that reshapes entire industries. It's worth remembering that the last great revolution in animation also came from the north. Pixar was a Northern California company, forged not in the conventions of the Hollywood studio system, but in the technological breakthroughs of Silicon Valley. I've spent years on both sides of this bridge. For sure, I don’t have all the answers (take Quibi, for one!). But, from my past and present vantage points of my long career, here is what I see . . . Brilliant people in Northern California building this technology have made something extraordinary. They have earned the right for the rest of us to be, if not believers, at least optimistic that what comes next will be remarkable. But they have not made an artist. The tools are powerful, but they are not what makes a story matter. That knowledge lives 350 miles to the south, inside people whose life's work has informed the very models you are building. The right path forward includes them by design, with credit, with consent, and with compensation. Build this with the storytellers. Not on top of them. Taste is not something that can be synthesized, it is uniquely human. At the same time, Hollywood needs to accept that AI is not going away. The energy they are spending trying to make it disappear is energy they are not spending deciding the terms on which it will exist. And the terms are everything. The north needs something from it that they cannot build and cannot buy: creativity. The kind that takes a blank page and conjures a single right answer where there was none and has held audiences for a century. Without it, the most powerful reasoning engine ever invented will still be missing the only thing that makes a story worth telling. The artists who learn to wield these new instruments will do things the engineers never dreamed of. They always have. Edison invented the motion picture but made terrible movies. It took Chaplin, Lloyd, Keaton and so many others to make movies emotional. Now, the canvas is about to expand yet again. We should decide now that we intend to paint on it. There are so many valuable lessons in history. This has happened many times before, and it was never settled by the technology. It was settled by the terms. Sousa did not stop the phonograph; he helped write the law that made sure composers got paid. And two years ago, when the writers and the actors walked out, they were fighting for the very things Sousa was fighting for in 1906. Consent, compensation, the basic recognition that human creative work has a price that must be paid. The terms of that fight are still being negotiated, but the principle is older than any of us. The tools-versus-no-tools argument is a trap. First, we must all agree that there should be terms. Then we can have the crucial debate about what fairness requires. What I Learned From Steve Jobs Years ago, Steve Jobs said, "It's in Apple's DNA that technology alone is not enough. It's technology married with the liberal arts, married with the humanities, that yields us the result that makes our hearts sing." He was describing a device. But he could just as easily have been describing this tale of two cities. What I See Coming Soon As the barriers and the costs come down, more films will get made, not fewer. Studios will get to take more risks. There will be more seats at the table, and very soon entirely new forms of storytelling. In the 1980s, animation was dismissed as a niche corner of the business. Today it is one of the most beloved and profitable forms of storytelling in the world. In live action, filmmakers like Steven Spielberg, James Cameron and Peter Jackson embraced new visual tools not as shortcuts, but as instruments, and expanded cinema in the process. Every time storytelling has met a genuine technological shift, from synchronized sound to color to computer animation, it has redefined the boundaries of the medium and grown larger in the process. Assuredly, I don’t have all the answers, but I am confident that the creative opportunities will expand yet again. How we come through this is a choice. The north has the new tools. The south has the creative soul. The best future will draw on the best of both worlds.
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Coming Friday. My copilot @satyanadella and I ;)
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Best crew to have in my corner
Thrilled to see longtime friend @dee_bosa making the leap as an entrepreneur 😍. A toast w/ @_ram_ @RiskReversal + friends, then off to create legendary content…
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my face receiving a compliment, in two acts. Thank you @liangsays. In awe of what you’ve built (so quickly!!) and excited to be on this new media journey
we hosted @dee_bosa at our studio right after her announcement to go independent both of us were super agi-pilled her new show is now slated for launch. so excited. world-class anchor, friend, entrepreneur!
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Muse may be a hit but the platform fight is just beginning. If AI assistants become the new front door to the internet, every big platform has the same problem: do you really want someone else (and Zuck in this case) owning the customer relationship? Zuckerberg spent years complaining about apple's control of the iphone. Now Meta trying to do the same thing one layer up.
Amazon cuts off Muse. While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur Nobody wants to get commoditized or layered here. Let the games begin
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Deirdre Bosa retweeted
The hyperscalers didn’t just build businesses renting out CPU compute. They built extremely valuable products around data, networking, security, storage, etc. We’re now building around AI accelerators, but the playbook of building value add software on top is the same. Turns out GPUs are really good for running AI models. That is why inference engines, which take a trained model and compute and produce intelligent tokens that can do real work, have become the first piece of this software stack. But, there is so much more to build than just this! Training helps you turn compute into better models that produce more valuable tokens. Routing helps you pick the right model to generate those tokens at the right cost and quality. Security monitoring helps you check what’s going into and coming out of those models. Then there’s agent observability, context management, sandboxing, etc. All of these things will be part of the new AI stack and the opportunity is much bigger than just serving a model. This definitely isn’t a winner-take-all market, whether we’re talking about open models vs. the frontier or the players within each category. Customers want choice, flexibility, and access to the fundamental building blocks to create their own systems. Constrained GPU supply will actually act like a regularizer and draw this fight out longer. Customers are looking for both compute capacity AND value add on top of it. When someone doesn't have capacity, you go somewhere else. That means more players get exposure to customers and the opportunity to address value add. Getting a customer because you have available GPUs is different from keeping them because your software is better. In the limit, the value add on top of the GPU will win out. The companies that do the best job building that software AND verticalize the fastest to own everything from chip to token will take the lion’s share. It’s important to be building for that now, even when the immediate customer need is just more compute.
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