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Edge0开源Audio8-ASR-Infinite：超低延迟实现中英文7x24小时不间断语音转写 这是一款面向实时场景的原生流式语音识别模型，支持中英双语，转写延迟低至几百毫秒。它借助循环滑动缓存机制，使计算延迟和显存占用始终保持恒定，解决了长音频转写容易漂移和内存溢出的痛点。模型还内置语义活动检测，能精准识别真实停顿、结巴与说话结束，特别适合长时间直播听写与高响应实时语音交互等场景。 模型：

The presumption that the Fed raising short-term rates reduces inflation is predicated on the belief that higher rates reduce demand and investment. But what if higher rates don’t reduce demand and investment because the demand for intelligence and energy is unaffected by higher rates because winning the race for super intelligence has a near infinite ROI and the demand for compute will remain incalculable. Why won’t higher rates at this unique moment in history therefore lead to more inflation as interest costs are embedded in everything? And the problem is compounded as the more the Fed raises rates, the more inflation we will have and the more the Fed will need to raise rates further and so on. But what if the old models don’t apply to the current paradigm and the Fed is wrong? I think the Fed might have just made a mistake. Am I right or am I wrong?

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.

Speech recognition is easy—until you ask it to listen forever. Today we’re open-sourcing Audio8 ASR Infinite: Ultra-low latency, unlimited audio, 24/7 transcription, no drift. Built-in semantic turn detection keeps it listening like a human ear. New SOTA for streaming ASR.

SpaceXAI just revealed how Starlink is using Grok Voice at scale. It handles over 15,000 customer support calls a day and fulfills 3,000+ orders a week. Elon Musk had already confirmed that SpaceX and Tesla uses Grok for customer service. "Grok is already doing quite a good job at SpaceX and Tesla. We are seeing Grok be very helpful in things like customer service and the AI is infinitely patient, so you can yell at it, and it's still going to be very nice."

Goodbye mental load....hellooooo @bot ! I know, I know. Grok Bot seems like it must be the next new thing for tech bros cold plunging in Patagonia vests, but hear me out moms (yes moms because disproportionately, the mental load falls more on moms than dads). Offload that mental load to AI and watch things just get done. Is it perfect? No. Is it amazing? Absolutely. Grok Bot is the new AI assistant from the team at Cursor + SpaceX (they're calling it SpaceXai). It's surprisingly useful and easy for non-technical people to use, and it can do a whole heck of a lot more than Claude and ChatGPT with little to no setup. Here are actual things that Grok Bot did for me this week (almost completely independently): - Looked through back to school emails and made sure I was prepared with everything that needed to be done for multiple kids. Mental load unlock: 100% I would've forgotten to pack a space change of clothes for my kindergartner on her first day. - Found 3 gift cards I somehow forgot to use from the last year. Oh right, I DID buy 2 Gap gift cards from Costco on black friday! Duh. Mental load unlock: Cha-ching! That's $150 in my pocket. - Scheduled multiple appointments for me. I've been putting off my annual physical exam because who has time to call the doctor. Grok Bot looked up options, pinged me with 3 dates/times, then booked it (I just had to confirm Zocdoc on the last step). It created a calendar reminder! Mental load unlock: Moms, we often put off our own health/wellbeing. Finally! AI can help. I also had it schedule a hair appt and massage for later this month. Let's go AI! - Listed a Facebook Marketplace item and is managing the sale. I had purchased a wagon for my kids years ago that's been collecting dust. Grok Bot found the old listing, used the photos, and asked me what $$ I want to list at. It's going to manage the rest (wish me luck here). Mental load unlock: Who has time to sell their old crap? I sure don't. But AI has infinite time. Notice, none of these are work examples. I will do those in a separate thread. All of these things are being done in the background, and I'm only being asked to approve or provide the AI direction. Don't be intimidated! Literally, if you've used WhatsApp or iMessage you can use Grok Bot with NO TRAINING. AMA I'm blown away by this tech. Photo is of my home assistant (her name is Helen) independently ordering my kindergartner a photo from Walgreens that mama somehow forgot about. Oops.

This is the most important chart to understand right now as an AI investor There are 3 waves of token consumption. Each wave is bigger than the last, and we're only just starting wave 2 Wave 1: Chat Wave 2: Agents Wave 3: Physical AI (humanoids, robotaxis) Token usage is expected to multiply 24 TIMES by 2030, with enterprise agents alone burning ~120 quadrillion tokens/month The growth in chat is limited from here, but that's ok because wave 2 has already kicked off and its accelerating extremely fast right now Wave 2 is Agents that work continuously instead of answering one prompt at a time, enterprises deploy them by the thousand, and consumer agents (the new Siri, Gemini on Android) haven't even shipped at scale yet. That's the 24x, and it's why compute, memory and power demand keeps accelerating through 2030 But wave 3 is the real kicker and it crushes everything else. This is the part that isn't in many of the models today. Physical AI: Humanoids, robotaxis, autonomous machines. Expected to be the biggest consumer by 2030 and reach 400 quadrillion tokens a month by 2040, the biggest of every category on the chart And here's why wave 3 is different for infra investors: it pays the infra stack TWICE. Every robot runs inference around the clock (tokens), and every robot IS hardware itself too. A humanoid carries roughly 10x the memory of an advanced car, plus the sensors, chips and power systems. Wave 3 demand shows up in tokens AND in physical components As I've said many times before, the demand for compute and AI infra is infinite becuase the demand for intelligence is infinite. As the form factors we use intelligence continue to grow, the demand does too The sooner you understand this, the sooner it becomes easier to learn how to invest in it. or to make it even easier, you can track my real-time portfolio and 4 other analysts' with live trade notifications and research inside Milk Road PRO. It's just $1 to try it out right now, learn more here: If you enjoyed this, give me a follow @kylereidhead for more insights on AI and markets