@reshpop

Exploring the Web3 wonderland of NFT's, Defi and Gamefi. Come as you are.

Singapore
Joined October 2009
HighYieldHopium.eth retweeted
This is a very good and clear writeup on datacenter finance. Can someone explain to me in an EMH-compatible way why it’s worth $META paying *more* in interest just in order to nominally remain an “asset-light” business?
New BPEA paper by @SVNieuwerburgh argues that AI buildout will cost $10.3T over next 8 years. Furthermore, to get a 10% return on this, those investing will need annual revenues of $3.7T by 2032! (Approx 9% of GDP!) brookings.edu/wp-content/upl…
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HighYieldHopium.eth retweeted
How to X-Ray a company in 15 minutes (or more).
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HighYieldHopium.eth retweeted
If you've never "felt" AGI before, that's about to change. Paste this prompt into Claude Code with Opus 5.5 + xHigh reasoning. Insane...
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HighYieldHopium.eth retweeted
Thoughtful piece by Jeffrey Katzenberg
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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HighYieldHopium.eth retweeted
My latest memo discusses recent attempts to rein in long-dated government bond yields and why the only sustainable solution is responding to the underlying factors pushing interest rates up, even if politically uncomfortable. You can read it here: oaktreecapital.com/insights/…
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HighYieldHopium.eth retweeted
Just one problem: the world's largest corporate bond ($27BN) backing the world's biggest data center, is now trading at an all time low of 94c (a far cry from the 110 on the break) despite an A+ rating, residual guarantees and so on. How's that looking Pimco?
And here's the one that started it all: Meta's 5GW Hyperion (aka Project Beignet), the largest data center in the world... when (if) it is completed some time in the 2030s
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HighYieldHopium.eth retweeted
Besides being super interesting, this presentation design blows me away. This is just cool. Business perfection - I am impressed @blackstone
BLACKSTONE JUST TOLD ITS INVESTORS THIS IS NOT THE DOT-COM BUBBLE. Jon Gray runs the largest alternative asset manager on earth. He just showed the room the exact number that separates 2026 from 2000. And it is not close. Blackstone deployed almost $100 billion into data centers this year alone. Six gigawatts of new capacity. Their tenants will add another $200 billion in chips on top of that. Blackstone did not do this because they were guessing. "hyperscaler capex, five companies, $415 billion last year. that number has doubled this year to $820 billion. that's equal to 2.5% of the GDP of the United States" "SK Hynix today trades at a four P/E multiple. it is not 2000 when Cisco was trading at 150 times earnings" Then he showed the cost of building one AI factory: "$55 billion for a gigawatt" "the beef is the return on investment" bookmark & watch the moments worth watching twice ↓
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HighYieldHopium.eth retweeted
Send this crypto research prompt to Grok Bot. It will probably make you a lot of money. You're welcome:
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HighYieldHopium.eth retweeted
CNBC just filmed a hedge fund where every employee is an AI agent. Payroll: $40,000 a year, all 4 of them. His last team cost $5,000,000 and burned him out of the business. Watch him introduce the staff. > Houston runs the place. > Doocey is the red team. His only job is to break every trade idea before money touches it. > Steffi, yes, Steffi Graf, marks up the charts. >Desmond runs the quant strategies over the weekend. The human kept one job. He calls it the meat in the chair. Pressing the button. 7 or 8 people in New York, Hong Kong and California could not cover a crypto market that trades at 3am. 4 bots do. He started them on Claude Opus 4.6 and they have not slept since. 10x the output, his number, not mine. 527,000 people watched this in 8 days. Your timeline skipped it. His forecast for Wall Street, on camera: one hedge fund manager, 1 or 2 humans under him, a swarm of agents under them. And for himself: "Maybe someday old BK will just have to be at the beach"
A hedge fund manager wrote his investors a goodbye letter. The crypto market that never closes had broken him. 17 months later CNBC filmed his new fund. 4 AI agents, zero humans on payroll, $40,000 a year all in. Nobody in it sleeps. The letter is still on X. 769 views. You run the same f*cking shift he quit. Hyperliquid at 3am, a Bitcoin alert in bed. You just never had $5,000,000 of payroll to prove it wasn't working. From the letter: "Markets that never close have taken a toll that I could only fully recognize once I paused." From the CNBC clip: "If it's 3 in the morning and I have an idea, I can just ping them. I don't have to worry about waking somebody up in the middle of the night, which I may or may not have done in the past." 7 or 8 people in New York, Hong Kong and California. $5,000,000 a year. Could not cover 3am. 4 bots, started on Claude Opus 4.6. $40,000 a year. Never off. 10x the output, his number. > Houston is mission control. Every bot reports to him. > Steffi, yes, Steffi Graf, marks up the charts. >Desmond runs the quant strategies over the weekend. > Doocey is the red team. Every thesis gets attacked before a dollar moves. Two Sigma keeps 1,700 people on that job. Behind them sits what he calls the corporate brain. Every trade, every email, every piece of research is a node, wired to everything else in the firm "almost like neurons". "Take a staff of 100, you've got a staff of 1,000" "I've talked to people working at big hedge funds now. They're doing something like this." 527,000 people watched his clip in 8 days. Brian Kelly kept one job in it. He calls it the meat in the chair. The market still never closes. He just isn't the one awake for it anymore.
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HighYieldHopium.eth retweeted
GameStop $GME is one of the most misunderstood companies in the entire market. Wall Street has left the company for dead. Every sell side firm has dropped coverage and zero hedge funds will own this because of the former meme stock hair. Now the stock trades dirt cheap with $5 billion of cash, $5 billion of ebay stock (10% of the entire company), $300 million of bitcoin and $2.8 billion of zero percent convertible debt. You are buying the core business for $4.1 billion. The core business that has completely transformed itself into a highly cash generative card store. Management has turned around the entire company and it is not a dying retailer anymore. It is a cash generative cash machine flipping Pokemon, Magic The Gathering and One Piece cards. Cards are one of the hottest markets in the entire world right now and Wall Street is asleep at the wheel. Unit economics are stunning. There are 1,600 stores in the U.S. $1.9 million sales per store. 45% gross margins at the store level. Four wall EBITDA per store of $580k. This is a four wall margin of 30.6%. There is very little capex and inventory is mostly financed by vendors and there is a float business with the trade-ins with in-store credit zero percent debt. Management is guiding to $650 million of EBITDA for the full year. They are sandbagging the number HARD. I am pulling data from ebay and GemRate and total Pokemon sales in August were up 30% m/m. The highest monthly sales ever recorded. In addition, the 30th anniversary for Pokemon occurred on September 16th. It was the biggest coordinated Pokemon event in history. I went to a dozen of GameStop's and local card shops and they were all sold out. Lines out the door. The phone ringing off the hook. Wall Street is completely unaware that GameStop is flipping cards in size and has transformed their business model. Finally, Q4 is the company's biggest quarter and there are more events for the 30th anniversary landing in the quarter. For the full year, I am modeling in excess of $850 million of EBITDA, $200 million ahead of management's sandbagged guide. Management likely knows this. Ryan Cohen bought $20 million in the open market, and other C-Suite executives followed along with numerous buys, just days ago. And then the company announced they will be reopening stores, for the first time in many years. The payback on reopens should be less than a year. I see the company trading at 4.7x EV/EBITDA, and over 90% of that EBITDA should convert into free cash flow, or a 20% free cash flow yield on the enterprise value. Wall Street is completely missing the story and asleep at the wheel with drool running down their big fat bellies. There will likely be push back on the ebay acquisition, but I encourage everyone to actually dig into the deal. It could be transformative and there are many synergies that Wall Street idiots are missing. Wall Street suits have no idea how the card market has been gamified and turned into a lottery ticket system that has become extremely addicting on apps like Whatnot. In addition, Ryan Cohen is an All Star capital allocator and operator, an extremely rare combination, and a platform like eBay is right up his wheel house. I built a website below that has a 34-deck slide, highlighting the thesis. Have fun and check out my analysis and website. I am long $GME and find the thesis asymmetric. deepfuckingvalue.com
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HighYieldHopium.eth retweeted
Wall Street is missing the turnaround at $GME. They have closed 5,600 stores and gross profit per store has doubled. GameStop is also beginning to open select stores for the first time again. Management buying big in open market. See the full 34-slide deck presentation here: deepfuckingvalue.com
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HighYieldHopium.eth retweeted
There’s an unusual amount of uncertainty around investment in pure-play AI, but the fact that it’s present doesn’t mean you don’t do something. I discussed how to think about AI investing with Bloomberg's David Gura and Christina Ruffini at the QEF. Watch the full interview: bloomberg.com/news/videos/20…
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HighYieldHopium.eth retweeted
SpaceXAI just mass-deleted their entire sales playbook and replaced it with 4 bots. every stage of the deal – prospecting, discovery, live calls, renewals – runs on its own bot. no handoffs. no CRM updates by hand. no "let me get back to you." one rep showed her pipeline: 5 accounts prepped overnight, slides rebuilt mid-call, feature requests resurfacing the day they ship. she said the biggest mistake was treating it like a chatbot. "i pushed back – hey no, go WATCH those webinars for me, don't give me the links." full 4-bot pipeline + 6 token tips in the image below. save this and check out the full GrokBot setup guide↓
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HighYieldHopium.eth retweeted
JPM: "Anthropic began the year with 1-2 GW of compute but according to a Sept 6 report has now committed to pay for access to another 15 GW of power that it will access over the next few years. The estimated cost: ~$500b to rent cloud capacity, chips and leases on data centers. This compares to $180b of projected data center expense that Anthropic mentioned last year through 2029. Anthropic is catching up to OpenAI which increased its estimate of data center expense from $660b to $750b through 2030, which is shooting for 30 GW by 2030 (equivalent to 30 modern 1 GW nuclear reactors, and the US only has ~95 of them)." Of course, the first concern in this is whether Anthropic and OpenAI can bring in the average revenue per customer needed to offset spending commitments. As I warned in my recent report on "The AI Trade" (sageroadresearch.com/product…): "We often pose the same question to clients: What if agentic AI is more akin to private flight than cell phones? The TAM for both private flight and cell phones is the entire global population. However, scale made cell phones affordable for most of the population while that remains fundamentally impossible for private flight. What if agentic only makes cost sense for a sliver of use cases across sectors? We believe it’s a question far too few are confronting today." The second concern is whether these commitments actually yield the compute capacity needed. To again quote the report: "Our more immediate concern is not data center capacity outpacing compute demand. Instead, it’s hyperscalers failing to build out the data center capacity required to improve their models enough to inspire adequate enterprise spending. The data center buildout is falling behind schedule. This year, between 30 and 50% of the large-scale data center capacity that was expected to come online will likely be delayed. As for 2027, more than 60% of data-center capacity planned for completion wasn’t yet under construction as of May, and another 7% had been officially delayed. Delays have always been part of the data center construction reality—historically, only 72% of data center capacity has come online on time. However, things are clearly getting worse. Goldman expects only about half of the AI computing capacity scheduled to activate between now and 2028 via data center construction will actually come online by its target date. As asset valuation firm Barkr calculated in an August report, delays at that rate would translate to a compute supply/demand gap of 13.4 to 19.2 GW in 2027 and 27.3 to 36.8 GW in 2028." As for electricity supply: "Annual growth between 2% and 3% is expected through the end of the decade, with data center electricity demand more than doubling from 31 GW in 2025 to 66 GW in 2027. BofA has projected that the US will face an electricity generation shortfall of 100 GWs or more by 2030, with only roughly 90 GWs of new supply coming against more than 200 GWs of new demand." JPM link: assets.jpmprivatebank.com/co…
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HighYieldHopium.eth retweeted
SpaceXAI just dropped a 12-page PDF on best GrokBot use cases - after reading you will use GrokBot better than 95% of people What Grok Bot is, which use cases work today and how to deploy without burning trust in my 12-page research: step 1 → every working use case follows one shape: read, check, apply rule, write draft. If your task fits this, the bot can handle it step 2 → five criteria before handoff: repeatable, cross-system, rule-governed, draft-first, bounded error cost. Fails on any? Add a gate or wait step 3 → start with sales. 36 LinkedIn drafts queued overnight. Zero sent without review. Highest density of agent-ready work step 4 → engineering gets bug repro, CI/CD monitoring and dependency audits. Bot catches the ticket, hits staging, drops a repro pack step 5 → operations runs inbox, expenses and travel. Bot signs into portals without APIs. Finance saves 8-12 hours at month-end step 6 → marketing owns 13 of 56 roles. Paid media, content calendars, competitor watch. All overnight, all draft-first step 7 → the approval boundary: every official use case stops before external action. Nothing sends, books or pays without you step 8 → deploy in four weeks. Watch, review all, review flags, scheduled routine. Skip a week and risk compounds step 9 → fleet pattern: Chief of Staff on top, specialists underneath, bots message each other. You stop being the middleman step 10 → sort by cost of mistake. The bot nails 49 tasks then does something odd on the 50th with full confidence. Keep a human at every exit the result: 56 roles, one playbook. The bot handles the 80% that repeats. You handle the 20% that matters. this 12-page PDF learns you how to get best results from GrokBot save now, then read how to build a 24/7 GrokBot agent team in the article below
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HighYieldHopium.eth retweeted
MIT quietly filmed a 26-lecture game theory course in the fall of 2025 that runs every eBay auction, every salary negotiation, and every dating app match on earth. He filmed it once and posted every lecture to MIT OpenCourseWare for nothing. Negotiation coaches charge $10,000 a day to teach a third of what he covered in one semester for free. His name is Ian Ball. He is an Assistant Professor of Economics at MIT and he inherited the course from Muhamet Yildiz, who taught 14.12 for twenty years and turned it into the class every quant desk on Wall Street asks in the first round of interviews. Every lecture is a live experiment. Ball pays MIT undergraduates real cash to play against each other on MobLab. The Prisoner's Dilemma. The Keynesian Beauty Contest. The Ultimatum Game. His entire framework fits on a napkin. Never play a dominated strategy. Never pick the stock you think is best, pick the one you think everyone else will pick. Solve the last move first. Assume every other player is thinking one step further than you. Never negotiate without a walk-away number. Never accept the first offer. That last rule alone has probably cost salaried workers a hundred billion dollars. "The best choice for each agent depends on the choices made by the other agents." That is Ian Ball explaining strategic interdependence to a room of MIT undergraduates. It is the exact sentence that decides whether you get the raise, close the deal, or walk out of the room with less than you brought in. Founders spend $80,000 on an MBA and then hire a negotiation coach to teach them the same material Ball filmed for free. Engineers write brilliant code and lose promotions to teammates who read the lecture notes on the train. The course is free on MIT OpenCourseWare. Every problem set and every recorded game is in the archive. Almost no one negotiating a salary next Monday has opened lecture one. The napkin is free. The willingness to actually use it in your next negotiation is the entire edge.
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HighYieldHopium.eth retweeted
GrokBot just left the screen. at Grok Bot Galaxy Day 2, SpaceXAI showed agents that print newspapers, flip physical displays, and control your iMessage – all autonomously. → newspaper bot: pulls your calendar, email, subscriptions overnight – prints a physical newspaper before you wake up. draws a comic about your day. generates a crossword from your life. → package tracker: scans email twice a day – when "out for delivery" starts checking every few minutes. logs into Amazon, screenshots how many stops away the driver is. sends to a split-flap display that physically flips when it arrives. → iMessage controller: checks Instacart driver location, screenshots every 2 min, sends to a friend via iMessage. instacart doesn't even have a share feature – GrokBot made it multiplayer. → back-in-stock tracker: checks a website daily for size + color. grabbed the only one someone returned. → shows tracker: monitors renewals and premieres. tells you what to watch tonight before you sit down. "i said 'print this.' GrokBot found the printer on my WiFi and just started going. no settings. no drivers. nothing." full breakdown in the image below. save this and check out the full GrokBot setup guide↓
🤖 Made with AI
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HighYieldHopium.eth retweeted
I've been to many meetings with companies that want to use AI but don't know where or how. They don't have a specific problem to solve. They are just paying us to come up with ideas. This looks like the solution for all of those companies:
Introducing Codos: The first virtual Chief AI Officer. AI is crushing all benchmarks but real companies still struggle to see P&L impact. Codos interviews employees, deploys automations across all functions and gets smarter over time while running on your own servers. Our NASDAQ-listed and PE-backed customers are adding millions to their bottom line months ahead of schedule and we are proud of the first results we deliver. It’s time to turn the 500BN AI-transformation market into software and unlock the impact for the real economy.
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HighYieldHopium.eth retweeted
This is literally my new workflow now: Realtime Research → Grok Bot Planning & Orchestration→ Grok Bot Day-to-day Coding/Debug → Grok Build + Grok 4.6 Write & Run Tests → Grok Build + Grok 4.6 Complex Coding/Debug → GPT-6 Astra Frontend → Fable 5.1 Bookmark this.
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