jerlendds
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- Un0rick: Open-source pulse echo ultrasound (opensourceimaging.org)
- RuView: See Through Walls with WiFi (github.com)
- World Machines (worldmachines.org)
- Hyphanet: High Impact Tasks (github.com)
- Inverse Occam's Razor (arxiv.org)
- AI SAd-ware (studium.dev)
- Knightian Uncertainty (en.wikipedia.org)
- The Interface Theory of Perception [pdf] (sites.socsci.uci.edu)
- NNDB: Tracking the entire world (nndb.com)
- Passivism: To Save the World, Start with Yourself (fare.tunes.org)
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The full question I'm wondering about is as follows: Do sociotechnical selection pressures reliably favor ML systems that (a) increase their own future deployment probability and (b) reshape institutions/data pipelines…
- Connes Embedding Problem (en.wikipedia.org)
- Bullshit ability as an honest signal of intelligence (2021) (pmc.ncbi.nlm.nih.gov)
- Democratizing Innovation (fennetic.net)
- Threshold (studium.dev)
- Attention Economy (studium.dev)
- LLMs as Meaning Optimization (studium.dev)
- Radical Ethics (studium.dev)
- Foundation Interface Lab (hci.ucsd.edu)
- Psychophysical Laws into Gear A New Approach to the Combination Problem (researchgate.net)