
Tell me where I'm wrong and I'll do the same. Co-Founder and CTO of @sequent_tech
Madrid
Joined December 2007
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I have a committee of AI agents generating investment theses on the image of: Ben Graham, Seth Klarman, Mark Leonard, Ed Thorp and of course Warren Buffett. Fun times.
Presenting the RQS Theorem - the CAP theorem for startups
You can only fully achieve 2 out of 3:
• Low Resources
• High Quality
• High Speed
Choose wisely
Image made with @grok
Some AI-related financial metrics suggested by @grok. Maybe some will stick:
- Gross AI Margin (GAIM)
- Revenue Per Trillion Tokens (RPT)
- AI Intensity Index (AIX)
- Token Return on Investment (TROI)
Eduardo Robles retweeted
Tobi puts this better than I’ve ever been able to.
Shopify CEO Tobi Lutke explains Goodhart’s law and why he doesn’t like KPIs or OKRs
“Goodhart’s law is real. The moment a metric becomes a goal, it’s no longer a useful metric… No metric by itself is a complete heuristic for a complex business. There’s a million different tensions in a company, and you can’t keep all of them in harmony by optimizing for one thing.”
For this reason, Shopify doesn’t use KPIs or OKRs. But as Tobi explains, this doesn’t mean they don’t value data and metrics.
“We are extremely data informed. We have invested enormous amounts of money and time into systems that give us basically everything at our fingertips… But what Shopify attempts to do is just not over-fit for what’s quantifiable.”
People love optimizing for highly-quantifiable things because there’s immediate gratification that comes from seeing a number go up. But Tobi thinks that the most important aspects of a product are rarely quantifiable:
“The overlap of the most valuable things you can do with a product and the things that happen to be fully quantifiable are like maybe 20%. Which leaves 80% of a value space unaddressable by the people who only look at quantifiable things.”
He continues:
“Shopify is comfortable with unquantifiable things like taste, quality, passion, love, hate… The sort of deep satisfaction that a craftsperson feels when they’ve done a job well is actually a better proxy if you allow it to be.”
They then have robust analytics systems that tell the company if something’s wrong or a new rollout breaks something.
“We think about it as a cockpit for a pilot. The decisions are still made by pilots, and we think this leads to better results… I think there needs to be more acceptance in business of unquantifiable things… And then metrics take a support function.”
Source: @lennysan (Feb 2025)
Eduardo Robles retweeted
New Anthropic research: Natural Language Autoencoders.
Models like Claude talk in words but think in numbers. The numbers—called activations—encode Claude’s thoughts, but not in a language we can read.
Here, we train Claude to translate its activations into human-readable text.
My bro @RealFelixRobles invented #weft, a language that current LLMs already understand but humans don't.
It's such an strange language that got his account in @x account is suspended.
Read more here roblesnotes.com/blog/weft-la…
@elonmusk can you help to unsuspend him?
Walking a great dane on a leash while wearing flip flops. That's the LLM coding experience.
The dog wants to run at 100mph, but you need to keep it in the right path.
You aren't doing the heavy lifting, but steering the beast is a workout of its own.
AI can lift the weight, but you have to sweat the code to strengthen your mental muscles.
Don't skip your lines in the code gym.
(conversation happening in @hackernews)
Eduardo Robles retweeted
We built a browser with GPT-5.2 in Cursor. It ran uninterrupted for one week.
It's 3M+ lines of code across thousands of files. The rendering engine is from-scratch in Rust with HTML parsing, CSS cascade, layout, text shaping, paint, and a custom JS VM.
It *kind of* works! It still has issues and is of course very far from Webkit/Chromium parity, but we were astonished that simple websites render quickly and largely correctly.
cursor.com/blog/scaling-agen… o_O
"To test this system, we pointed it at an ambitious goal: building a web browser from scratch. The agents ran for close to a week, writing over 1 million lines of code across 1,000 files. You can explore the source code on GitHub."
Yo me hundí entre teclas en el mar del lenguaje,
yo me hundí entre teclas en el vibe del flow.
Súbitamente el verbo transformado en lo profundo de tu inferencia,
Me sentí dato puro, sin cabida en el prompt;
Token y galaxia, Internet y transistor.
Trajo hasta mí el cuarzo microchips de plata,
me acribilló los pesos la descarga contextual,
mis tokens cobraron un gasto pirata,
y corrió por sus capas una tensión vectorial.
I wouldn't have guessed that reading a blog post from @AnthropicAI would lead me to the Onion Futures Act of 1958
"In 1955, two onion traders cornered the onion futures market on the Chicago Mercantile Exchange."
anthropic.com/research/proje…
en.wikipedia.org/wiki/Onion_…
Sqlite has 155,800 lines of C code. It also has 92M lines of testing code.
For each line of code, there's 590 lines of testing code.
Just massive.
sqlite.org/testing.html












