Munich, Germany
Joined December 2014
- Tweets165
- Following820
- Followers68
- Likes2.3K
WebMCP feels like a new approach to bringing us the Semantic Web, almost 30 years after its initial proposal
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feels like the @n8n_io brand went from being the playful kid with a metal phase to becoming a grown-up. worthwhile to read the n8ndesign.md at guidelines.n8n.design/build-….
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Philipp Hugenroth retweeted
You may have been told to watch this video about the OpenAI AI hack. You really should, even if you don't usually care about tech stuff.
If nothing else, click this link to the 18 minutes in & see how the agents spoke with each other. Its eye opening. youtu.be/87DyyMV0kCY?si=DMfq…
Philipp Hugenroth retweeted
I appreciate @dhh's thoughts, but I disagree on where Europe's problems are, and from where I'm sitting it's not immigration. Thus I wrote a response to his post. dark.ronacher.eu/2026/7/17/l…
As long as one of the new Agent-GitHub-Alternatives can provide reliable actions I’m happy. Strongest I felt like moving off GitHub
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Philipp Hugenroth retweeted
No one knows yet what the next form factor for computing will be, and yet there will be a next form factor, and it will seem obvious in retrospect.
Philipp Hugenroth retweeted
A hill I'll die on: Current LLM chat interfaces are a regression from GUIs. Actions that used to be links, buttons, or keyboard shortcuts are now things I have to spell out in conversation. Why?
rtp: Vera Molnár, HTML Canvas: with(c.getContext("2d"))for(lineWidth=30,i=11; i--; stroke())(beginPath(),(strokeStyle=i%2?"#000":"#175DA8"),moveTo((X=85*(i+1)),0),lineTo(X,(Y=550*Math.random())-50),arc(X-15,Y,50,-Math.PI/2,Math.PI/2),moveTo(X,Y+50),ineTo(X,600));
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Philipp Hugenroth retweeted
Much like the switch in 2025 from language models to reasoning models, we think 2026 will be all about the switch to Recursive Language Models (RLMs).
It turns out that models can be far more powerful if you allow them to treat *their own prompts* as an object in an external environment, which they understand and manipulate by writing code that invokes LLMs!
Our full paper on RLMs is now available—with much more expansive experiments compared to our initial blogpost from October 2025!
arxiv.org/pdf/2512.24601
