PhD Student @Stanford — Previously @Autodesk @StanfordHAI @ETH
San Francisco, CA
Joined September 2010
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anything that can be streamlined into tokens will be overtaken by agents and swallowed by the bitter lesson—you either work at the frontier of intelligence, hum2hum vibes, or learn how to bake good bread. anything else seems a suboptimal move given the current status quo.
Martin JJ. Bucher retweeted
The gently sloping line at the bottom is our world 252 million years ago, when temperatures increased by 8C across 60,000 years killing 90% of all species.
It is a period known as The Great Dying.
That vertical red line is the world our children live in.
Martin JJ. Bucher retweeted
(Anthropic): We’re restricting our model to landowners who can pass a literacy test
(OpenAI): Proud to announce our acquisition of Cluely
(xAI): With GrAImes (18+), Grok 6.7 users can experience the thrill of unprotected catgirl coitus without fear of the Woke Mind Virus
Martin JJ. Bucher retweeted
the relative geographic and climate capital of san francisco is at its peak right now. sunny 60 degrees perfect clear skies cute families in picturesque parks while the rest of the country is frozen solid. rich people from the east coast are flying in and filling up the hotels
Martin JJ. Bucher retweeted
At @CVPR? Come to the AI Art exhibit to interact with our #GradientCanvas!
It is a community generated #AR painting. Users can claim a region and add their own contribution. No painting skills required, just words!
gradientcanvas.github.io/
Gradients Spaces, Stanford Univ.
Martin JJ. Bucher retweeted
✨What if you could create and redesign scenes by just talking to them?
**ReSpace: Text-Driven 3D Scene Synthesis and Editing with Preference Alignment**
Add, remove, and swap objects simply via natural language, e.g., "add tufted dark gray sofa". (1/8)
✨What if you could create and redesign scenes by just talking to them?
**ReSpace: Text-Driven 3D Scene Synthesis and Editing with Preference Alignment**
Add, remove, and swap objects simply via natural language, e.g., "add tufted dark gray sofa". (1/8)
Results: New SOTA on object addition, and competitive on full scene synthesis. Explicit boundaries via SSR significantly reduce out-of-bounds vs. floor plan renderings.
Test-time scaling with Best-of-N shows further potential to improve preference alignment on this task! (7/8)
Check out our paper!
Work done by myself and the amazing @ir0armeni .
Paper: arxiv.org/abs/2506.02459
Website: respace.mnbucher.com
Code: github.com/GradientSpaces/re…
so turns out MCP is essentially a reverse proxy that abstracts away all those tool use APIs from your system prompt ?
plot confirmed.
What was the rush? Why come and effectively declare victory without doing some rigorous analysis? Isn't the whole point of this prize to be rigorous in its evals rather rush to meet an agenda or timeline of a particular participant? o3 is indeed very capable, everyone agrees, but aren't you genuinely curious, Mike, what makes this result good?
