hci @medialab & lmu | cdtm | prev. @spotify on backstage.io
Joined December 2014
- Tweets 147
- Following 718
- Followers 64
- Likes 1,953
31 Photos and videos
Philipp Hugenroth retweeted
May 13
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Jun 2
experimenting with metal shaders in ios (generative clouds grain)
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May 28
experimenting with sam3d object three.js. original photo attached.
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Philipp Hugenroth retweeted
Mar 16
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?
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Mar 3
fun and easy to play around with. love the halftone dots paired with the riso style. was ready to print after 15 minutes of experimenting. could directly export and print without another round of photoshop. printed at the ppppress in the mit media lab.
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Feb 18
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
Jan 2
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
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Feb 5
free model provider on @openrouter as a growth hack. only yesterday @arcee_ai (only ~30m funding, ~50 people) got 50B prompts. not only tons of usage data, but also could help with extrapolating statistics for fundraising.
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Feb 5
according to forbes they are trying to collect 200m$ at 1B$ right now: forbes.com/sites/annatong/20…
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Jan 31
the @bfl_ml flux playground ux is really interesting. great concept to develop intuition for how to prompt the model and visually explore specific/revertible modifications.
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Jan 31
interested in how they interpret the prompt & decide which parameters should be changeable. my naive prompt was just the first paragraph of "The Metamorphosis". directly prompting the model without the interpretation (e.g. through krea) looks vastly different.
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