Applied AI reviews, build logs and essays on systems, validation, agent workflows, decision-making and how ideas survive contact with reality.
What if a T-shirt could work as a small dictionary? That was more or less the starting point for Pictiq , a project I have been working on around a very simple idea: sometimes you do not need to translate a conversation.
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There is probably no stranger company in AI right now than Safe Superintelligence . It is valued at roughly $32 billion . It has raised billions. NVIDIA has just made another enormous investment. And after more than two
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If you believe in the AGI thesis, there are several obvious places to put money. The labs. The chips. Maybe the hyperscalers. But the further this cycle develops, the more interested I become in something considerably le
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I came across an interesting example of something that has been normal in airlines, hotels and e-commerce for years, but still feels slightly disturbing when applied to journalism: personalized subscription pricing. Niem
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We’ve spent the last three years hearing about corporate AI adoption. Every company is AI-first. Every CEO has an AI strategy. Every employee has Copilot, Claude or ChatGPT. There are committees. There are transformation
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Another enormous creator-economy report has landed, this time from CreatorIQ and Influencers.club . Read more
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AI is not simply going to replace some employees with cheaper software. The more important transformation is the redesign of companies around systems that can learn, execute and improve without waiting for humans. A few
Read ->Godwin’s Law famously says that the longer an online discussion continues, the greater the probability that someone eventually mentions Hitler or the Nazis. The literal version of the law doesn’t seem to survive empirica
I’ve spent the last few days reading several papers on AI and employment, expecting the usual cheerful choice between: “AI will eliminate half of all jobs.” and “Don’t worry, technology always creates new ones.” The actu
Andrej Karpathy has done it again . Not necessarily invented something new. Something arguably more valuable. He noticed a behavior that many people working intensively with AI already do, consciously or otherwise, gave
There is a version of the AI-and-mathematics story that goes like this: Give the model a difficult problem. The model thinks very hard. The model produces a proof. Mathematicians become unemployed and take up gardening.
Everyone wants to invest in AI. Fair enough. The slightly inconvenient question is: What exactly are you investing in? A memory manufacturer and an AI lab may both benefit from the same boom, but economically they have a
They’re selling something more valuable: a way to understand the world… For a while, the aspirational internet person had a fairly predictable morning. Wake up at 5:30. Cold shower. Protein. Meditate. Journal. Build a st
There is a question hanging over almost every AI startup right now: What happens if models become ten times better and ten times cheaper? For some companies, the answer is wonderful. For others, it is: “Well, our entire
I had one of those conversations today that leaves several ideas bouncing around your head long after it ends. They looked unrelated at first: AI agents, Bending Spoons, European banks, corporate data leakage, founder ps
Mathematics has traditionally had a rather pleasant problem. Proofs are difficult to produce. You can spend months staring at a problem, fill several notebooks with increasingly desperate symbols, drink an irresponsible
Yesterday I was discussing AI investing with a friend, and one thought kept coming back. One of the riskiest investments today might not be Bitcoin. Or venture capital. Or early-stage AI startups. It might be betting tha
Back in 2015, I read Tim Urban’s legendary essay “The AI Revolution: Our Immortality or Extinction.” Like many people, I remembered one particular character. Turry - A harmless AI built by a fictional startup called Robo
People keep asking whether AI will make life meaningless. I think they’re asking the wrong question. Meaning was never guaranteed. Excuses were. Let’s agree on where we actually are. Not where the headlines are. Where th
For the past two years, we’ve been playing a rather entertaining game. Someone posts a text. Half the internet immediately becomes Sherlock Holmes. “Too many em dashes.” “Classic ChatGPT vocabulary.” “Nobody says ‘delve’
