how hard could it be?
Austria
Joined February 2007
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Christian Langreiter retweeted
1/12 Introducing Music Lenses!
Something cool you can do with our recent sparse-inversion work is prompt a dense music space for concept-conditional similarity. You want similar vocal character, rather than just similar songs? Well, now you can!
pliploop.github.io/sparse-st… 🧵
Happy to share our #ISMIR2026 paper on steerable music retrieval with sparse autoencoders 🎛️🎧
Dense retrieval is great at finding similar tracks,
But once you have a query, what if you want to modify one concept inside it?
More piano,
More intimate,
Less gritty.
1/n
Christian Langreiter retweeted
Expect massive innovation now that anyone can build apps for the S-band! This 2-4 GHz radio frequency sweet spot cuts through bad weather easily, making it perfect for tracking storms, keeping airport radars accurate, and beaming data to space missions.
Christian Langreiter retweeted
my current favorite learning mode: a book/paper pdf open in claude desktop’s browser pane, where i highlight passages and ask questions straight with claude. alongside it, an implementation of the idea im reading about so i can play with it. immediacy in both ideas + intuition.
Christian Langreiter retweeted
"Our initial evaluation suggested that GPT-6-Astra's score was in the late eighties followed closely by Opus 5.5. But, as we started to investigate the mistakes that the models might have made, the models, especially Astra, insisted that they were right and that it was the expert-supplied answers that were erroneous. When we went back to the experts it turned out, in multiple instances, that that the experts found some subtle errors buried deep inside their calculations. As they revised their answers, Astra's score started to inch up and it finally ended up with 98% (49/50)."
Christian Langreiter retweeted
i asked LLMs to have fun, write down what happened, then rate who had the most fun. the newer models seem to have less fun! many models played word games, but opus 4.6 won over and over by imagining brief worlds made up of contradictions living inside falling water droplets 🥺
Christian Langreiter retweeted
Echo is post-trained from Kimi K3. Training Echo was so cheap because the underlying base model already has a deep understanding of writing style. All that we needed was to elicit this understanding—taking the model out of the “assistant basin”—while preserving its other capabilities.
Christian Langreiter retweeted
"stochastic parrot" was a mimetically-fit cognitive virus that spread from 2021-2025; it temporarily blinded many gifted people to the nature of AI progress, burning up crucial years in which they could have helped think through the response to the situation.
Christian Langreiter retweeted
watching this susan kare (designer of icons/graphics for the original mac) talk and thinking about how accidental constraints can help make the most memorable designs by pressuring toward simplicity.
Christian Langreiter retweeted
This is the kind of "AI Magic" I love. Not through delegation and instruction, but through direct interaction with intelligent and dynamic materials.
Christian Langreiter retweeted
Hypothesis testing is making a huge comeback thanks to coding agents writing papers now. It's everywhere in most submissions I review, including the abstract. Also, I am learning about new hypothesis tests that were never used before in our community (NLP). I don't know what to make of it -- good i guess?
Christian Langreiter retweeted
It always astonishes me how fearless @deepseek_ai are when compared with other labs. *Every single* model release is packed with novel crazy clever ideas, and each is fully commited to with near frontier scale training.
Christian Langreiter retweeted
put it in a museum
GPT3 writing code. A compiler from natural language to code.
People don't understand — this will change absolutely everything. We're decoupling human horsepower from code production. The intellectual equivalent of the discovery of the engine. player.vimeo.com/video/42681…
Christian Langreiter retweeted
i gave astra a robot, a paint brush, and a camera then asked it to paint the golden gate bridge in real life!
it figured out how to control the robot, and progressively got better throughout its attempts. the timelapse is sick
Christian Langreiter retweeted
Screenshots do Red Dead Redemption 2 usando DLSS 5 (2X render) no modo Qualidade, em 4K com os gráficos todos no máximo possível.
RTX 4090 + Ryzen 7 9800X3D
Christian Langreiter retweeted
NewtonScript never really needed the Newton. So I pulled it out. Reimplemented in Zig as a small portable language/runtime for embedded systems and Physical AI. ESP32, RISC-V, WASM. 64 kiB VM. As agentic as it gets. An agent and its screen representation on an ESP32-C6. ... and yes, the chlorophyll measurements get sent via Zigbee. The code readability is excellent.
