@bloombergbeta; of the San Gabriel Valley; investing in 2050; working to improve the second derivative; looking for troublesome ringleaders!

Palo Alto, CA
Sometimes, all it takes is to find kindred souls to feel like the world is an amazing place.
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“don’t try to out-plan the players”
How do you picture a superintelligence (if true superintelligence could ever be real)? I like a trick from Dungeons and Dragons for running villains with 25 Intelligence: don't try to out-plan the players. Instead, whatever they do or roll, play it like the big bad saw it coming.
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James Cham retweeted
Today is Lambda's 14th birthday. Incorporated in Delaware on October 2nd, 2012. Happy Birthday Lambda!
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James Cham retweeted
My main failure mode as a VC so far has been passing on terrible ideas from wonderful people
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The best dinners are with other people who read too much. If the balance is just right (as it was last night in NYC), there will be enough common overlap to judge and make fun of each other but also enough different ideas to leave with a long list of new books to read!
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The 3 I’s of new markets
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James Cham retweeted
When I explain to founders that “sales” is actually just “commerce” which is actually just “applied microeconomics” they start to grok it a lot better.
Everything in life is sales The sooner you learn that, the sooner you will be free
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James Cham retweeted
As the price of software drops to zero, it's interesting to reconsider 70's-era ideas about this. That is: the "computer liberation" necessarily comes from fully understanding the "dream machine". We'll create universal literacy for this new medium, and that will mean everyone learning to code. The challenge, then, is to create languages and representations which are learnable enough. Now we've got a lot of the dream machine with little understanding. I think this is… broadly pretty great? If I want some idiosyncratic custom behaviors in my email app, would I really benefit so much from expressing that in code myself? I want it to work and to get on with my day! Consider a status quo bias test: suppose we live in a world where genies can improvise dynamic media through natural language. It's often imperfect, or comes with surprising behavior, but it mostly works most of the time. How would we feel about the proposal that everyone should be able to specify these media through some systematic/deterministic representation? I think it's a hard sell! Custom email clients are pretty benign, I think, but I wonder where the line is. Would I have learned to program as a kid if these kinds of tools existed? A technical society does require people who can read and write technical media. They're already a minority, and "computer lib" argues that political participation in a technical society with complex systems requires that widespread literacy. I wonder where it will come from?
Replying to @kanjun
Personal software should be deeply malleable. Studio lets you change BASICALLY ANYTHING. Since it can access its own source code, it can fully modify itself. Easily add any new features you can imagine, like keyboard shortcuts and automations. Or make your own avatars & themes.
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James Cham retweeted
This is SO spot on. Every day that your startup isn't advancing is a day that it is moving to irrelevance.
Every startup talks about their Cash Runway. They should be more concerned about their Relevance Runway. There are a lot of companies right now sitting on plenty of cash. They raised a big round a couple of years ago and on paper they have years left. But the race they are actually in is against becoming irrelevant and it is more pressing than any financial pressure. Take data integration - workflow tooling and the long tail of specialized pipeline and orchestration products. That whole layer of tooling got heavily funded over a 2-3 year window, and a lot of those products were best-in-class when they shipped. Now the frontier models and the coding agents are encroaching on "good enough." You can have an amazing product, and your customer can still get to a good-enough version of it with a few Codex prompts. Categories that used to be categories are consolidating fast. So what do you do if you are running one of these companies? Three things come to mind. 1. Decide whether you're staying independent. If you can't see a path back to relevance, find a home while there is still a buyer. It is one of the best M&A markets I’ve seen in years. Look hard at whether you have enough momentum with customers and enough surface area of product to hoover up the adjacent companies in your space and be the biggest banana in the bunch. More surface area means more data flywheel and more proprietary understanding of how customers use you. 2. Gird yourself for battle. Assume you are going to have to reinvent the product, probably more than once. It didn't used to work this way. Once you were past $50 or $60 million in revenue and growing, you might think you could stop worrying that everything might change underneath you. That would be a huge mistake. A friend of mine runs a company with >$100 million ARR and I wouldn’t be surprised if they have another pivot ahead of them. 3. Rebuild your vision. Cash buys time. It does not buy motivation. If you are going to reinvent the product, your team needs to see where it's going before they'll follow you there. The people who can help you pull off a reinvention are also the ones with options elsewhere. @andrewdfeldman put it well at our summit last year: give them great teammates, give them great problems to work on. If your team can't see a future worth building, you won't get the chance to build it. All that said, nobody can tell you how long your relevance runway is. Figure it out before your best engineer does.
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I hope Josh makes this series into a book!
Dear Followers Over the next three days I am going to respond to @DAcemogluMIT 's questions on AI. There are lots of reasons to do this but I also wanted to send a big FU to that Economist piece that suggested we economists aren't willing to challenge Daron. That is not my experience and I know people who challenge him all of the time. None are shy about it. If anything, they do so in our normal circles more than, say, here. So let's do it more here too.
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James Cham retweeted
Have you tried to use a decision model (like Jev) on thousands of rows? Calling an API once per row is a terrible idea for batch work, because it gets no benefit from query planning and sits *extremely* far from optimal performance. With Qwen3-4B on one H100, the speed-of-light (SoL) for one AI filter over 5k movie reviews, or the fastest the GPU could possibly run it, is about...6.6 seconds! No system today comes close, including Quail, our open-source AI-SQL engine 😱 New blog post on how we cost AI-powered filters in Quail (based on SoL estimates), check it out! fsdatalab.github.io/blog/ai-…
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Analysis is better than anecdote. But anecdote is often more insightful than dumb aggregates.
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One solution to the McNamara fallacy is Turkey-style exploratory data analysis!
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For better and worse, Douglas Adams was more prescient than Clarke, Asimov or PKD.
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I am pretty sure that @AndreyFradkin and Seth Benzell interviewed David Deming just for my entertainment and benefit. Here’s the key passage that I’ve been wandering around meetings and dinner parties in NYC thinking about over the last two days: > If we have much more free time, perhaps the most important thing we’ll do is argue about what the big AI system should be doing for us... > As societies become richer, we devote more time to relational work and to exchanging opinions. > We spend vastly more time firing takes at each other partly because very little of modern work is strictly necessary for human survival. > When people say, “AI is going to lead to the end of work,” I sometimes think: it’s already here. Most of us are entertainers.
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@mattbeane This was the point that I wanted to bring up during our dinner tonight! The whole Deming interview was terrific though I suspect he underestimates how good the models are going to get a conversation and persuasion.
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Come over for dinner!
I think we have a problem
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James Cham retweeted
Today we’re officially launching LunaRoute 🚀🌕 lunaroute.com We built LunaRoute to change how people use AI - fixed monthly pricing, concurrency instead of tokens, and the freedom to build without constantly thinking about usage or the meter. Our first users have told us how different that feels, and we want more people to experience it. So we’re launching with a referral program for every user: Give $200, get $200. Refer as many people as you want and keep earning credits with every qualifying referral. Read more on our introduction post: lunaroute.com/blog/introduci…
Made with AI
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James Cham retweeted
For the last few months I have been testing @lunaroute_ai - which gives basically unlimited tokens to OSS models for a monthly price. It has changed the way I think about how AI will be used. Worth trying. You can get an extra $200 via my referral app.lunaroute.com/start?ref=…
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