Building @wideframeai (YC W26). Previously bought 1B+ in ads for tech companies. Always learning. Almost always having fun.
San Francisco, CA
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Wideframe just launched on @ycombinator!
Do hours of video work in minutes with @wideframeai.
Check out our launch: ycombinator.com/launches/PUI…
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Daniel Pearson retweeted
For the love of all things holy, stay out of the danger zone at work.
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Jawwwn
Daniel Pearson retweeted
Today I wrote two emails with candid feedback to two founders.
One said “Candid is a synonym for useful” and said he was on it.
The other wrote me a long defensive email saying the problem was my fault.
How people receive feedback is very revealing of character.
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Many startups are spending more on inference than they are on salaries...
we have entered a whole new world.
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Daniel Pearson retweeted
Once you have product-market fit, you stop talking about product-market fit.
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We should call them Service Centers to better represent what they actually provide to humanity.
We should also tell people what services are provided by them, like when farmers put up little signs labeling their crops for when city folks drive by.
This is what they used to be called. It's what they should be called again.
I polled my followers about what to call them and they liked the old name: supercompute it is!
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Daniel Pearson retweeted
Lazy work used to mean too little output.
Now, with AI, it often means too much and more work for everyone else.
@tobi call it "slop grenades."
A "Slop Grenade" is when you let AI produce the work and pass it on without adding any value (including checking it).
Someone else has to wade through it, catch the mistakes, and clean up the mess.
You save time and look productive but someone else pays for it.
My third conversation with Shopify co-founder and CEO @tobi.
0:00 How Shopify Uses AI
7:18 River: Shopify's Internal AI
8:55 How to Encourage Osmosis Learning
10:52 AI Dreaming and Self-Reflection
11:53 How to Use AI for Strategic Decision Making
14:11 The One Thing AI Cannot Do
16:04 What AI is Making Worse at Shopify
19:46 Predictions: Where AI is Headed Next
21:55 The Future of AI-Powered Software
24:40 Will CEOs Be Replaced with AI?
27:54 Can Superintelligence Be Controlled?
31:13 Critical Skills in AI Age
34:22 Why Complex Solutions are Usually Wrong
36:33 Conditions Needed for True Intuition
38:02 The Best Path Doesn't Have Instant Feedback
44:51 How Affirmations Can Shift Your Behavior
50:44 The Inobvious Thing Hurting Companies
52:37 Relationship Between Beauty and Creation
56:23 How SpaceX Moves Forward By Subtraction
1:00:24 Why Companies Need Refounding Events
1:01:50 Books as Cheat Codes
1:02:39 Three Books to Change Your Thinking
Enjoy!
(Includes paid promotions.)
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Observation from the AI deployment front lines:
Most companies are very receptive to AI, but very few are willing to go through the upfront pain required to codify workflows, build evals, and to produce "AI friendly data".
Solving real problems with this in mind is the entire AI opportunity ahead of us because AI that *just works* out of the box will absolutely crush every other option.
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Power laws within power laws within power laws
Venture exposure and venture returns are hardly the same sport:
- The top 1% of VC investors account for 57% of the industry's net profits
- The top 5% take 90%, and the other 95% split what's left
Full piece from a16z's @jkhamehl on the power law that runs through the funds: a16z.news/p/catching-the-ven…
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