The moat is actually building it. Having the creativity, vision, and motivation to turn an idea into a real product. Then maintaining it, scaling it, securing it, paying for infrastructure, handling integrations, supporting customers, acquiring users…
✌️Fede retweeted
We'll be spending a lot more time trying to understand the outputs of language models. A few thoughts, tips & tricks:
Writing. Something I've had success with: Ask your LLM to explain something in ASD-STE100, it's a controlled language specification originally developed for aerospace maintenance documentation. LLMs well-versed in this language and it comes with heavy constraints on clean writing style that I often find a lot more readable. Sometimes I've tried to soften it a bit e.g. ask for "80% of the way to ASD-STE100" because the spec is quite stringent. But even better:
Diagrams / images. Instead of writing, ask your LLM to create a diagram. These can be a lot easier to process, parse, and understand. But even better:
Web pages. Ask for output "in HTML" to get a beautiful, interactive webpage. LLMs are getting really good at frontend and can create beautiful experiences, animations, etc. But even better:
Explainer videos. The output format I am most bullish on is fully custom / bespoke explainer videos generated on any arbitrary topic. Experiment with things like "Create a 3b1b style video explainer on X. Use my ElevenLabs API key for audio narration". (you'd need an API key for the latter or you can ask your LLM to find you decent free alternatives that use your local compute). This is actually starting to work!
In summary:
- As LLMs get better, they will do more and more of the legwork autonomously, and a lot more of our work will rise up the abstractions into oversight and understanding.
- Luckily, LLMs can help here too because as intelligence and code are increasingly abundant, you can ask for large, custom, discardable software artifacts (e.g. web apps, video explainers) that would have never made sense to create before. Push the boundaries here and you'll be surprised.
This but seriously
After @OpenAI Astra’s release yesterday scoring 99.9% on the ARC-AGI-3 benchmark, I think it’s become clear that AGI is no longer some distant hypothetical. About 15 minutes after the benchmarks came out, I booked the first flight I could find to Jackson Hole.
I’ve now decided to relocate here permanently and begin establishing a life with as little exposure to AI as practically possible.
I’m currently evaluating houses based primarily on distance from town, whether they have a wood-burning stove, whether the water comes from a well, and how many important systems can still function if the internet disappears forever.
I’ve also started transitioning my daily life away from anything that could plausibly become agentic.
I paid for coffee with cash this morning. I asked a human being for directions. I bought a paper map. I have begun referring to Google Maps as “the old system.”
I’m also looking into purchasing a horse. At this point horses remain one of the only major transportation platforms with no API, no OTA updates, and no realistic path to MCP support.
I’ve started moving important documents to paper. I bought a typewriter and I’m learning which vegetables can survive a Wyoming winter.
Longer term, I’m hoping to assemble a small community of people with complementary pre-AGI skills: farming, carpentry, dentistry, medicine and cooking. LMK if interested.
Whatever happens next, I’ve made my choice. I’ll be in Wyoming splitting firewood and waiting for the compute to run out.
✌️Fede retweeted
anthropic: if we release this humanity might end.
qwen: here is god in a zip file please star our repo
✌️Fede retweeted
As someone who has personally spent $500k / mo+ on Google Ads for years, I can tell you with certainty:
This revenue growth in Search is artificial & extremely unhealthy for Google’s business long term
Search volumes are declining as legacy search is being increasingly cannibalized by non-monetized LLM queries
Google’s response?
Manufacture revenue growth via short-sighted, highly extractive, customer-hostile tactics. I.e. charge advertisers more for lower quality clicks, including clicks they do not want and explicitly did not approve Google to charge them for
A few examples to illustrate:
For all of its history until recently, Google operated on a 2nd price auction model
I.e. if you bid $5 CPC and the next highest bidder bids $1 CPC, Google charged you $1.01 for the click (one penny more than the 2nd highest bidder) rather than the $5 you bid
This was a genius move by Google early on as it incentivizes advertisers to input their true maximum willingness to pay rather than trying to play the game of bidding low and constantly adjusting to try to stay just ahead of the next highest bidder while still not paying too much
However recently, Google silently deprecated the 2nd price auction and began charging advertisers as much as their bid and budget caps allow, regardless of what anyone else is bidding
It’s a short-sighted cash grab at the expense of the long term health of the advertiser ecosystem
Making thing worse, Google also recently nerfed keyword targeting precision
Google previously had precise keyword targeting settings that allowed advertisers pick individual search phrases to bid on, defined down to the character w/ exact match or phrase match targeting
This was one of the core features that made search advertising magic, enabling advertisers to run extremely precise campaigns based on exactly what their target customer typed
But now, even if you bid on a specific term or phrase using the strictest exact
-match targeting settings, Google will show your ad across 1000’s of unrelated keywords, labeling them as as “exact match (close variant)”
The definition of “close variant” means whatever they want it to and changes constantly. The result is advertisers get billed for clicks that are totally irrelevant to their business and that their targeting settings explicitly forbid Google from targeting. Google does it anyway and there’s no ability to turn this off
So now exact match is broad match, and broad match is just meaningless spam
This is all very bad for advertisers, but for Google, it allows them to show your ad and bill you for clicks across 1000x more searches that were previously going unmonetized (mainly because they’re garbage queries no one wants)
This is how you grow revenue atop declining search volumes
Lastly, and perhaps most egregiously, Google quietly stopped respecting budget caps by a factor of 2x. For example campaigns we’ve been running for years with $1000 daily budget caps suddenly began spending $2000+ per day
And the extra spend is entirely on the garbage keywords Google arbitrarily throws in as “exact match (close variants)” which have no value to our business, but can’t be turned off
Google offers no refunds nor any recourse for overspend or spend on keywords you explicitly did not target
These are not the actions of a healthy business. These are the actions of company whose core business is in decline but desperately needs to pump quarterly earnings so Wall Street will continue to fund insane capex while hopefully looking through their rapidly deteriorating negative free cash flow
Google operated a benevolent monopoly for the better part of 25 yrs
Meaning the value Google captured from Search was but a small fraction of the value it created, and that spread produced a potential energy that justified expectations of high earnings growth far, far into the future
This is now no longer the case
At the alter of AI capex, Google is sacrificing the golden goose
Q2 was an amazing quarter, with our AI investments redefining what’s possible across every part of our business.
Alphabet revenue grew 24% YoY and Google Cloud accelerated to 82% growth. We saw exciting momentum across the board from Search to YouTube to the Gemini app (which reached 950M monthly active users). Our model APIs are processing 22B tokens/min (up from 16B+ last quarter) driven by our workhorse Flash models. We’re also seeing great adoption of Gemini Enterprise, used by 90% of the Fortune 100, as well as strong demand for our security solutions.
Outstanding results and momentum, and such an exciting moment—thanks to all of our partners and employees around the world! 🙌 About to hop on the call!
✌️Fede retweeted
A Boston Dynamics robot dog clocked in at a copper mine in Utah.
Mariana Minerals is deploying Spot at Copper One, its mine and refinery near Moab. Its first job will be routine plant inspections that currently require operators to walk across the facility.
The robot will carry sensors, collect data in the field and send it into Mariana’s software, where operators can monitor equipment and make decisions about the plant.
The immediate benefit is simple: fewer hours spent on repetitive inspections and fewer people entering hazardous areas.
Once Spot is fully deployed, the workers who know the site will decide what else it should do.
The robot starts with inspections. Mariana plans to connect every machine, sensor and inspection route through one operating system for the mine.
✌️Fede retweeted
software isn't dying because AI is eating apps, it's dying because a whole generation's behavior has changed.
last night before bed, my girlfriend pulled out her phone and spent 15 minutes using gpt voice to diagnose why her face was breaking out.
she didn't google it, that didn't even cross her mind.
we're in a transitionary period of the internet where most businesses are still built for being discovered on google or social media.
earlier this year the number of people choosing AI for search over google was ~37%, and that was 6 months ago - which means it could be >50% now.
there are a ton of products that will go extinct because information is more available than ever (that is 100% the result of AI), but a lot of the decreased traffic is the result of businesses that haven't transitioned to getting indexed by AI, and are losing ground with SEO.
there's always going to be new opportunities, you just can't be stagnate with these market conditions.
I'm seeing a trend here of declining revenue and traffic with indiehackers
On my own projects too
Maybe big VC products too but I wouldn't know cause they don't share revenue
To me it seems clear BigAI is cannibalizing everything that used to be apps
Not bad btw, just times are changing and we have to adapt
✌️Fede retweeted
It’s hard to describe just how far out in front of us is China 2026. Luckily record numbers are checking out for themselves. Increasingly visa-free travel makes it easier than it’s ever been.
I’ve just been on a “High-speed train” which description fails to do justice. It travels like the wind. If you closed your eyes you wouldn’t know you were moving. China has 50,000 miles of it. It links cities so far better than ours it brings me to tears. Clean. Crime free.
The cops don’t carry guns and their cars don’t have sirens, only flashing lights.
Prices are so cheap I’m scared to tell you. A slap up lunch £2.50. Shirts £12. Deluxe taxis (BMW electric) £4. And this in a Tier 1 City (Beijing Shanghai Guangzhou Shenzen). It’s cheaper elsewhere! The shops are tumbling with goods from the west (at Chinese prices - western goods are of course mainly made in China) from the east often Russia and from a home manufacturing base easily the biggest in the whole world.
Nobody litters or jaywalks, nobody lays in shop doorways, nobody begs. Vertiginous towers of bewildering variety arise everywhere. At night these cities don’t even look real. I have a young wife. When she was born Shenzen was a one-horse town nobody outside had ever heard of. Today it is a Wonder of the World. One of dozens. If you deny it, you’re a fool.
George Galloway
Expect to see a lot more of this. Vibe coding, 3d printing, cheap motors, and boards (soon, after the Great Correction) WILL lead to a true cambrian explosion of robotics
Home-built robotics projects will be the new "my first weather/calendar app" entry point for "SWE" types
An open-source robot vacuum you build yourself — Raspberry Pi, ROS 2, 2D LiDAR, Home Assistant, 3D printed chassis. No cloud, fully local.
oomwoo is early stage and building in public. The community can contribute modules in parallel — from SLAM navigation to dust bin design.
makerspet.com/blog/building-…
#ROS2 #RaspberryPi
The AI revolution can lead to two very different outcomes.
One is a world where people are finally free from work and free to pursue their passions, spend time with their families, learn, create, and live.
The other is a world where people lose their jobs, lose their economic independence, and end up dependent on the state while a small group of technocrats controls most of the wealth. Feudalism 2.0.
I think we'll experience both over the next 100–200 years.
First the dystopia.
Then the utopia.
Webflow made sense when no-code was the easiest way to build websites.
Today, that model already feels outdated.
WithClaude Code, building products is becoming 100x easier and in many cases there’s simply no reason to use traditional no-code platforms anymore.
It’s crazy how fast AI changed the role of the developer by removing the information asymmetry around coding.
A few years ago, becoming a developer was one of the best career choices on earth.
Today, I genuinely wouldn’t recommend most young people start that path from scratch.
✌️Fede retweeted
they finally proved my theory that i have been banging on about for years
thoughts are liquid in the ether and once they condense into quantum rain clouds, they precipitate into our visible universe as realities
essentially what its saying is that thoughts when thunketh so strongly, so convicted, with so much believe... they have no choice but to thunderstorm in 3D


































