Building Teddy Chat, an AI front door for pediatric clinics and Pace, an AI companion for families. Dad. Vancouver. NFT creator @mintedteddy
Vancouver, BC
Joined September 2010
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zoran retweeted
We’re all zombies and we should be using AI to reclaim our agency
“Everyone, when they're kids, has big ideas and big dreams. And when they imagine their life and play it out, they imagine this life where they can be an astronaut, or save the planet, or change the world, or whatever it might be. They think big.
And then, for a variety of reasons, by the time people finish school and enter the workforce — by the time you've been in a job for a while — all that hope and ambition and ability to dream has been sucked out of them. It's been beaten out of them. Life has been beaten out of them.
I don't think we, as adults, appreciate the degree to which we're all zombies. We've lost our agency. And ambition, I think, is really a good word for it.
One of the promises of AI, broadly speaking — and I think through products like Muse — is to keep that going from when you're a kid. You're a kid, you have big dreams. Use AI to help make those things happen, then dream bigger, make those things happen, dream bigger, make those things happen, and experience this escalator of agency — an increase in agency throughout your life — versus having lots of agency and then having it crushed.”
— Alexandr Wang
When AI compresses execution, the advantage a co-founder provided, speed, breadth, redundancy, is no longer the bottleneck.
$0 to $15M ARR in 4 months. 2-3 people. No large team. No series A.
Garry Tan says this is already happening at the frontier of AI-native startups, a few hundred skill files doing the work of a 50-person org.
The playbook he's using to advise YC founders right now:
- Per-seat SaaS is dying and not just the model. The valuation multiple the market assigns it is already obsolete. If your pricing is still seats × monthly fee, you're building on a collapsing foundation.
- The solo founder calculus has flipped. A co-founder still wins in specific contexts, but the default assumption that you need one has crumbled. When AI compresses execution, the advantage a co-founder provided, speed, breadth, redundancy, is no longer the bottleneck.
- Agency and taste are now the scarce resource. AI compresses time-to-build. What it can't compress is judgment: knowing what to build, for whom, and why it matters. That's the new moat.
- The structural shift underneath all of this: AI doesn't just make teams faster, it changes the unit economics of company-building entirely. Headcount no longer needs to scale with revenue ambition.
- Most founders are still optimizing for the 2015 playbook, raise, hire, scale headcount, repeat. The ones currently eating entire markets look nothing like that. They're smaller, faster, and being advised to reorganize entirely around agents before they hit their first $10M.
That's the actual delta between the last generation of startups and this one.
If this was useful, the full playbook is in Product Market Fit: productmarketfit.tech/p/garr…
zoran retweeted
The biggest misread of anyone predicting the end of software engineering was imagining that the world only needed a certain amount of software, and bringing automation to the field would reduce the need for labor.
Exactly the opposite is happening where essentially most things are actually turning into software. Because agents can use tools, work with computers, write software on the fly, and process data like humans (but far faster), we can now throw “software” at problems that never could reasonably be digitized before.
What that leads to is the role of engineering taking on greater importance in the economy, because we can now engineer far more systems and processes than were possible before.
If you’re a bank trying to do new forms of trading, engineers are often your first bet. If you are in life sciences, you expect more and more research and lab work to be engineering centric. If you’re in manufacturing, you’re trying to automate more of the supply chain, all that is engineering. More and more work is shaped like software problems.
Yes we’re not going to be coding manually in the future. But almost everything will be code, which means those that understand it are in a fantastic position.
Some observations about the "total" automation of software engineering:
1. There are more software engineers now than in 2025, and demand is growing.
2. Software engineers have never worked harder than they do now.
3. They largely don't write code anymore, agents write ~100% of the code.
4. The bottom line of the companies that employs these engineers and agents (i.e. the terminal purpose of all this code) is typically not budging as a result of AI adoption.
This is why you have to think in terms of systems. Automating one aspect of a system creates its own friction and moves the bottlenecks elsewhere.
zoran retweeted
I've never seen an exceptional product that was designed by committee.
Too many cooks in the kitchen make products that are complicated and diluted. Every compromise feels small in the meeting, and together they water down the whole thing!
zoran retweeted
The thing I’m most grateful to Elon for is bringing back an age of wonder and excitement to humanity. That was jaw-dropping awesome! Screams and mouths wide open in the audience. Nuts.
zoran retweeted
Agents spawning other agents, agents operating in the background on every task, and agent swarms will consume 1,000X more tokens than people prompting agents 1 at a time.
The usage of AI as a chat system that can only work for you at the pace that you can prompt it will seem like a relic within a year or two. The vast, vast majority of tokens will be consumed by agents that are just doing continuous work for us in the background and in our workflows.
This is why we’re still so early in the curve of AI agent adoption right now, and how much more compute and infrastructure build out will be needed to sustain this.
zoran retweeted
Alexandr Wang 在谈到“如何拉开与 99% 人的差距”时，给出了极其朴素甚至残酷的答案：
顶层竞争根本不拼智商，拼的是极端执行力的非对称倾斜。
他的三条核心准则：
1. 绝对聚焦，压榨认知带宽： 绝大多数人的忙碌只是“低密度伪勤奋”。真正的专注是把全部精力砸在唯一的核心支点上，拒绝任何无关干扰。
2. 把“过度交付”做成护城河： 行业标准要求走 1 英里，你就走完 10 英里。当所有人都按合同完成 100% 时，常态化交付 200% 的人会直接卷走全部声誉与溢价。
3. 带靶向的超额输出，拒绝无目的内耗： 努力不是盲目自我感动，而是针对具体目标的持续过载测试。把每一次交付都当成生死决战来打。
商业世界最公平的一点在于：
聪明人到处都是，但能忍受极度枯燥并长期超额交付的人凤毛麟角。
执行力溢出，就是最暴力的护城河。
zoran retweeted
Introducing EmbeddingGemma 2, a new open multimodal model that sets the standard for on-device efficiency.
- our first open, natively multimodal embedding model
- handles text, code, image, video, and audio tasks within a lightweight, modular 740M parameter form factor
- ideal for offline, privacy-first RAG when paired with Gemma 4
- outperforms some specialist models more than twice its size
Weights available now on Hugging Face.
zoran retweeted
To help revive fireflies: turn off outdoor lights at night (use red LEDs or motion sensors if needed), avoid all pesticides and lawn chemicals, leave leaf litter and rotting logs for larvae, let some grass grow longer, plant native plants, and keep soil moist with mulch or a small water feature. A wild corner of your yard creates habitat. Report sightings to projects like Firefly Atlas.
zoran retweeted
Earth is just one of about 100 billion planets in our galaxy, which is just one of about two trillion galaxies in the universe. And our lifetimes are only about 1/3,000 of humanity's existence, which itself is only 1/20,000 of the Earth's existence.
In other words, we are unbelievably tiny and short-lived and no matter what we accomplish, our impact will be insignificant.
At the same time, we instinctually want to matter and to evolve, and we can matter a tiny bit--and it's all those tiny bits that add up to drive the evolution of the universe. #principleoftheday
I find this mildly entertaining, but I’m also a little saddened by the growing drift between Canada and the U.S. To me, we’re family, with so much shared history, friendship, and love between our two countries.
zoran retweeted
The most useful thing I've learned about food mastery is that eating bad things is never, ever worth it. You never feel good after. Only regret. Once you fully internalize this, you can simulate the experience and then muster the power to overcome the primal desire.
