Unemployed. Founder @techinasia (@ycombinator W15, exited). Dad of 3 girls. Learning, building, investing.

Singapore
Willis Wee retweeted
I think how to be happy has like hundreds of long answers and how to be incredibly happy mostly comes down to don’t clench
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Willis Wee retweeted
98% of US households aren't paying for AI yet More charts in State of Markets II: a16z.news/p/state-of-markets…
Introducing our State of Markets pt 2, along with a companion podcast where we unpack the data and discuss what comes next. Tech is the everything cycle. Supply: putting the buildout in context, just passed railroads as % of GDP. The wisdom of Elon is real: the factory (or the datacenter!) is the product. Demand: diffusion is so, so early. Median AI vendor spending in the top 1% of companies is 8x that of the top 10%. Only about 30% of S&P 500 companies report a quantified AI impact, which means there’s a substantial opportunity in connecting models to a company's data and workflows. Diffusion into companies is one of the main themes of the next 5 years. We’re entering the agent work period. Only a few million users today, but applicable to billions of internet users with massive surplus created. META/GOOG monetize US users at $200+ per year today. Agent opportunity is much higher. Mega-trends the next 5 years: Consumer agents, Robotics, Autonomy, AI x bio, Personal health, Diffusion into enterprise, New era of American Dynamism. Much more in our SoM report here - a16z.news/p/state-of-markets… @a16z @sarahdingwang @aleximm @santiago__rdz
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Willis Wee retweeted
Humans are the minority user of AI Agents burn nearly 5x the tokens people do, up 14x since February More charts in State of Markets II: a16z.news/p/state-of-markets…
Introducing our State of Markets pt 2, along with a companion podcast where we unpack the data and discuss what comes next. Tech is the everything cycle. Supply: putting the buildout in context, just passed railroads as % of GDP. The wisdom of Elon is real: the factory (or the datacenter!) is the product. Demand: diffusion is so, so early. Median AI vendor spending in the top 1% of companies is 8x that of the top 10%. Only about 30% of S&P 500 companies report a quantified AI impact, which means there’s a substantial opportunity in connecting models to a company's data and workflows. Diffusion into companies is one of the main themes of the next 5 years. We’re entering the agent work period. Only a few million users today, but applicable to billions of internet users with massive surplus created. META/GOOG monetize US users at $200+ per year today. Agent opportunity is much higher. Mega-trends the next 5 years: Consumer agents, Robotics, Autonomy, AI x bio, Personal health, Diffusion into enterprise, New era of American Dynamism. Much more in our SoM report here - a16z.news/p/state-of-markets… @a16z @sarahdingwang @aleximm @santiago__rdz
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Willis Wee retweeted
Lots of founders are crashing out A year ago AI felt like an incredible opportunity. Most of us were able to ship faster, remove admin, and get time back. Lots of engineering founders were even able to explore marketing for the first time: SEO, organic social, outbound. Building complex systems that felt extremely productive. But since then, a lot has happened. Here’s some of the themes I’m seeing: AI marketing isn’t working. At first it feels impressive and it looks good but for most it’s not driving results. This is made worse by the fact everyone has access to the same tools. Inboxes are flooded, buyers are fatigued, the economy is flat. Engineers are fried. Yes you can ship more but for many the flow state has gone. It’s a new way of working and it’s not for everyone. The speed leaves many of us exhausted before 11am. There’s a feeling of what’s the point? Is my product’s next feature going to be redundant in a year, or a month? Can’t AI do what my business does, better? SaaS valuations have collapsed. From 3-4x revenue to 1x. There’s a sinking realisation that a large number of SaaS companies will go to 0 in the next few years. Building to exit seems almost crazy right now. There’s far fewer buyers and far more sellers. These include vibe coders cloning products without the care or craft, contributing to the distribution challenges from people doing it the right way. Lots of people are trying to make money by selling shovels. This just adds to the frenzied energy. Build in public stopped being fun. A few makers realised that the new game is attention, and now everything feels insincere and stunt-driven. They are influencers not founders. Changes to the X timeline compounded the issues. There are exceptions and there are still moats remaining, but the challenges feel existential
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Willis Wee retweeted
AHAHAHAHAHAHAHAHAHAHAHA NO WAY. > OpenAI just announced Dots. > SpaceXAI bought Dot.com it redirects straight to the Grok Bot download page. based lmao.
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Willis Wee retweeted
Everyone. is. building. the. same. thing.
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Willis Wee retweeted
I wanted a playful pixel-art design for my personal site. I recently redesigned it using an AI approach @anshuc shared in @lennysan's Newsletter. I wrote down the entire process, including the exact prompts and the alternative designs the agent generated. I had fun and happy with how it turned out. 🙂 🎨 Site: williswee.com/ ✏️ Essay: williswee.com/thoughts/redes… ☁️ Inspired by: lennysnewsletter.com/p/how-t…
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Willis Wee retweeted
What makes Asimov 1 walk is now open-source, giving you a foundation to build new capabilities on a humanoid robot. github.com/menloresearch/isa…
Your next robotics project could start with these steps. Today, we're open-sourcing Asimov 1's locomotion policy and the training code behind it, giving developers a foundation to build on. Alongside the trained policy checkpoint, we're sharing our Isaac Lab-based training code, including reward definitions, hardware-tuned actuator configurations, and domain randomization settings. That foundation gives you a starting point for your own experiments. Adapt the training setup to hardware changes. Explore different walking styles. Build toward new capabilities. We've taken the first steps. Build what comes next. Asimov 1 locomotion: github.com/menloresearch/isa…
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Willis Wee retweeted
Your next robotics project could start with these steps. Today, we're open-sourcing Asimov 1's locomotion policy and the training code behind it, giving developers a foundation to build on. Alongside the trained policy checkpoint, we're sharing our Isaac Lab-based training code, including reward definitions, hardware-tuned actuator configurations, and domain randomization settings. That foundation gives you a starting point for your own experiments. Adapt the training setup to hardware changes. Explore different walking styles. Build toward new capabilities. We've taken the first steps. Build what comes next. Asimov 1 locomotion: github.com/menloresearch/isa…
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A small experiment with Google Search Making fluid UI easier to visualize through something we already use. After trying @TypeSafe’s Jev as a router in one of my projects, I wanted to try it on the frontend too. Then I came across ShapeShift, an open-source fluid interface by @anishfn. I thought it was pretty cool. The interface changes based on what you type. I wanted to try that idea on something familiar. @Google Search felt like a good place to start. It already has custom interfaces for specific searches, which help make the results useful. So I built a small experiment. As you type a query, a matching interface pops up. ShapeShift’s / menu for discovering tools, and its widgets that respond to what you type, helped shape it. It’s nowhere near as detailed or polished as Google’s actual UI. But I thought using a service billions of people already know could make fluid UI a little easier to visualize. You can try it here: googlefluid.vercel.app/ This is an independent experiment, built for fun. Not affiliated with Google.
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realized i tagged wrongly. should be @typesafeai 🙏
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25 awesome open design roles right now (via LennysJobs.com): 1. @linear — Principal Product Designer jobs.ashbyhq.com/linear/ba8a… 2. @linear — Senior / Staff Product Designer jobs.ashbyhq.com/linear/a264… 3. @AnthropicAI — Product Designer, Evals & Prompts ($305K–$385K base) job-boards.greenhouse.io/ant… 4. @AnthropicAI — Product Designer, Design Systems ($305K–$385K base) job-boards.greenhouse.io/ant… 5. @OpenAI — Product Designer, Codex ($245K–$310K) jobs.ashbyhq.com/openai/4342… 6. @Replit — Director of Product Design ($275K–$350K + equity) jobs.ashbyhq.com/replit/b386… 7. @tryramp — Director, Product Design jobs.ashbyhq.com/ramp/78b98c… 8. @stripe — Senior Staff Product Designer, Data & AI ($210.4K–$376.8K base) stripe.com/careers/listing/s… 9. @stripe — Staff Product Designer, Link ($191.3K–$286.9K base) stripe.com/careers/listing/s… 10. @NotionHQ — Product Designer ($285K–$330K SF base) jobs.ashbyhq.com/notion/d177… 11. @figma — Manager, Design - Systems & Infrastructure ($204K–$348K base) job-boards.greenhouse.io/fig… 12. @figma — Director, Product Design - AI & Context ($290K–$376K base) boards.greenhouse.io/figma/j… 13. @vantasecurity — Head of Design ($365K–$513K) jobs.ashbyhq.com/vanta/19837… 14. @glean — Head of Product Design ($250K–$300K) job-boards.greenhouse.io/gle… 15. @Rippling — Senior Manager of Product Design, AI Platform ats.rippling.com/rippling/jo… 16. @harvey — Senior or Staff Product Designer, Design Systems ($206K–$315K) jobs.ashbyhq.com/harvey/aede… 17. @Lovable — Staff / Principal Product Designer jobs.ashbyhq.com/lovable/563… 18. @Lovable — Staff / Principal Design Engineer, Web jobs.ashbyhq.com/lovable/518… 19. @vercel — Design Engineer ($208K–$312K) job-boards.greenhouse.io/ver… 20. @cursor_ai — Design Engineer jobs.ashbyhq.com/cursor/5f3b… 21. @databricks — Staff Product Designer, AI Products ($167K–$229K) databricks.com/company/caree… 22. @DoorDash — Staff Product Designer, Dasher Growth ($176.8K–$260K) job-boards.greenhouse.io/doo… 23. @DecagonAI — Senior Product Designer ($212K–$265K + equity) jobs.ashbyhq.com/decagon/111… 24. @baseten — Product Designer ($225K–$290K) jobs.ashbyhq.com/baseten/382… 25. @clay — Product Design ($160K–$250K) jobs.ashbyhq.com/claylabs/67… Browse all the roles: lennysjobs.com/
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Willis Wee retweeted
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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Willis Wee retweeted
A CS undergrad asked me where he could have most effect in the AI age. I said probably at either extreme: either close to the technology, actually making LLMs, or close to the customer, using AI to give them exactly what they want. Or maybe both if you can stretch that far.
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Detect your AI bots with jointracky.com
Bot detection & human verification will be one of the most urgent demands for businesses over the coming years. Agent swarms will suffocate every website and form; small companies and government websites are most vulnerable. There is a huge gap in the market for this right now. When we looked at what offerings were in the market to use at X, there was not a single company that brought together all the latest technologies so we had to do it all in-house.
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In the last 2 years, web traffic to news sites has fallen by about 28%.
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I am done with this shit. It is over. The state of engineering right now is horrible. It has been half a month since I started a new role at a big company. Nobody knows anything here. The specs, code, tests, PRDs, tickets, resolution of those tickets, reports, etc., everything is made by Claude Code. Nobody on my team likes this. They are being forced to ship as much as they can. I have heard multiple times from higher management that pushing code is not a bottleneck, so why are we slow? People are working 12 to 13 hours a day just to press enter. Nobody is reading anything. Humans in corporate are doing nothing on their own. Everyone, literally everyone, from an L1 to an L7 engineer here is doing the same thing. Talk to Claude. There is no sense of victory. Nobody is resolving bugs. In reality, nobody is thinking anymore. Everything is done by LLMs. It is so soul-sucking. I would not mind it, to be honest, if we were at least given the time to check out the code and see what is going where. But no, the goal is to just ship. No matter what happens.
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