standfest

10 ms·

1.
by standfest 5d ago
This attitude is pure punk! I couldn't agree more. The reason is statistics: even if LLMs can do a lot, they still rather interpolate than extrapolate. They do not excel, they average out. They deliver what is anticipated. So if you lo
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Schwarz Digits' Presents European Sovereign Stack Standard(heise.de)
2 points by standfest 5mo ago|0 comments
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by standfest 7mo ago
update: if I log in via incognito mode, the toggle is set to "improve the model for everyone"=Off. So I guess somebody deployed a bug in the frontend.
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by standfest 7mo ago
Got the same thing, though I sent a 'do not train on my data's request for my pro account. But the toggle in the settings panel cannot be deactivated. Is this a bug or a serious policy change?
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by standfest 7mo ago
Agree that “data realism” is the quiet differentiator in mature visual generation domains. Floor plans / technical drawings feel a lot less mature though — we don’t really have generators that are “good” in the sense that they preserve
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by standfest 7mo ago
Totally agree that for floor plans the bottleneck is usually label/geometry quality, not model architecture. We looked at CV early on, but real plan archives are a pretty adversarial input: ~100-year-old drawings mixed with modern expo
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Show HN: Pipeline and datasets for data-centric AI on real-world floor plans(archilyse.standfest.science)
12 points by standfest 8mo ago|4 comments
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by standfest 8mo ago
I still hope for EU regulations at least
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by standfest 2y ago
i am currently working on a paper in this field, focusing on the capitalisation of expertise (analogue to marx) in the dynamics of cultural industry (adorno, horkheimer). it integrates the theories of piketty and luhmann. it is rather theor
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by standfest 2y ago
As a humorous reference I recommend to watch this rather old tv commercial: https://youtu.be/ExnWRuniooY?feature=shared
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Deep fake camera Art Project(nuca.rocks)
1 points by standfest 2y ago|0 comments
12.
by standfest 3y ago
Here are my 2¢: Leverage platforms that offer mock technical interviews (e.g., Pramp, Interviewing.io, probably there are others too). This approach lets you simulate the interview experience in a risk-free environment, getting you accusto
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by standfest 3y ago
i think this is the logical next step of a feud which only recently re-gained momentum two weeks ago https://www.forbes.com/sites/roberthart/2024/02/16/musk-reig...
14.
by standfest 3y ago
i think this is the logical next step of a feud which only recently re-gained momentum two weeks ago https://www.forbes.com/sites/roberthart/2024/02/16/musk-reig...
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by standfest 3y ago
atm mostly RAG setups for corporations, and a little bit in the compliance domain. not super exciting. last year at iccv paris, we did something correlated to HouseGAN and presented a new dataset to train such setups: https://dat
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Ask HN: Beyond the Basics – Advanced Insights into Startup Success Factors?
1 points by standfest 3y ago|0 comments
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The impact of founder personalities on startup success(nature.com)
1 points by standfest 3y ago|1 comments
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by standfest 3y ago
The study models the difference between the character traits of founders and employees. I wonder if any VC is already using similar methods.
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by standfest 3y ago
I usually write small functions for postprocessing the proposed layouts from the default algorithms. So far this was always more than sufficient.
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by standfest 3y ago
I would like to support this observation. Obviously, they generated some language of their own, with lots of implications and references. Once you start reading it, it becomes a rabbit hole (back in the days my entry point was Adorno and Ho
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by standfest 3y ago
I am not a big fan of the Sokal Hoax and the follow ups. They made cheap money out of obvious misinterpretations, and did much more harm than anything else. While Chomsky, maybe from a US perspective, found some value, I am more with Derrid
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by standfest 3y ago
i like how you narrowed this defect down from a mysterious restriction in a white paper to a single line in the zoning table.
23.
by standfest 4y ago
Hi! Thanks for sharing. I am the OP, we wanted to post this tomorrow. But I think that's now not needed anymore. If someone has questions, i try to answer here too.
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First trained open source floor plan recognition network(auto.archilyse.com)
7 points by standfest 4y ago|1 comments
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by standfest 4y ago
A trained network to annotate raster images of floor plans was just published by Archilyse under AGPL. You can try it under the link above, additional information is shared in the discord channel. Previously, Archilyse has published the lar
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by standfest 4y ago
matthias here. damn ninjas are cutting onions again. thanks a lot for your kind words, it was an incredible team effort over the last years to create this. we simply hope that the community is going crazy with the data. and there is one mor
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by standfest 4y ago
Archilyse provides a SaaS tool to convert floor plans (raster images) into 3d models of buildings (IFC or GeoJSON) with embedded contextual information. the 3d model accuracy gets verified via additional data sources (governmental building
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Largest open dataset of apartment models ever got published(zenodo.org)
210 points by standfest 4y ago|55 comments