"LLM Inference Scheduling: A Survey of Techniques, Frameworks, and Trade-offs", Huawei Canada/China, Simon Fraser Univ, Tsinghua Univ, Univ of British Columbia, TechRxiv, Nov 5, 2025 www.techrxiv.org/users/994660...
Two core architectural layers:
Control Plane
Data Plane
41 pp, 180 ref
"LLM Inference Scheduling: A Survey of Techniques, Frameworks, and Trade-offs", Huawei Canada/China, Simon Fraser Univ, Tsinghua Univ, Univ of British Columbia, TechRxiv, Nov 5, 2025 www.techrxiv.org/users/994660...
Two core architectural layers:
Control Plane
Data Plane
41 pp, 180 ref
🔓 Kubo, T. (2025, November 11). The mathematical genesis-integration principle (mGIP): A multilayer alignment framework beyond the free energy principle. TechRxiv. doi.org/10.36227/tec...
🔓 Kubo, T. (2025, November 11). The mathematical genesis-integration principle (mGIP): A multilayer alignment framework beyond the free energy principle. TechRxiv. doi.org/10.36227/tec...
www.techrxiv.org/users/947247...
www.techrxiv.org/users/947247...
I've seen the same kind of thing at Techrxiv as well...
www.youtube.com/watch?v=7NOW...
I've seen the same kind of thing at Techrxiv as well...
www.youtube.com/watch?v=7NOW...
The research article (preprint) linked below was recently posted on TechRxiv. Title The Hitchhiker’s Guide to Autonomous Research: A Survey of Scientific Agents Authors Xinming Wang (+15…
The research article (preprint) linked below was recently posted on TechRxiv. Title The Hitchhiker’s Guide to Autonomous Research: A Survey of Scientific Agents Authors Xinming Wang (+15…
Moral Fingerprinting for AI Systems – A Persistent Framework for Ethical Drift Detection and Alignment Logging
tinyurl.com/tuz7jhbb
A system might start avoiding certain topics or framing issues in a new way. (GPT 5 is a good example)
Moral Fingerprinting for AI Systems – A Persistent Framework for Ethical Drift Detection and Alignment Logging
tinyurl.com/tuz7jhbb
A system might start avoiding certain topics or framing issues in a new way. (GPT 5 is a good example)
BlueSky: *crickets*
r/MachineLearning: mostly constructive feedback
HackerNews: this guy sucks
TechRxiv: we’re backed by IEEE, and ghost people who ask for status updates after we miss our self-imposed deadlines.
Glad I burned billable hours to work on this
BlueSky: *crickets*
r/MachineLearning: mostly constructive feedback
HackerNews: this guy sucks
TechRxiv: we’re backed by IEEE, and ghost people who ask for status updates after we miss our self-imposed deadlines.
Glad I burned billable hours to work on this
I fixed neural arithmetic. Division works. Extrapolation works. 10^-16 error.
Turns out: training distribution matters, complex numbers > log space, and those NALU weights were calculable all along.
Proof: hillspace.justindujardin.com
#MachineLearning
I fixed neural arithmetic. Division works. Extrapolation works. 10^-16 error.
Turns out: training distribution matters, complex numbers > log space, and those NALU weights were calculable all along.
Proof: hillspace.justindujardin.com
#MachineLearning
Starting to think I should release this work without a DOI - the code, website, and paper are all beginning to gather dust.
Preprint: Quantum Neuromorphic Intelligence Analysis Geopolitical Forecasting and Military Strategy by Alapeti Ware (published 19-02-2025)
https://www.authorea.com/doi/full/10.36227/techrxiv.174000592.24033277/v1?commit=c2023c0ca2708337b54faeaa7ffa50c8d1570d2e
Preprint: Quantum Neuromorphic Intelligence Analysis Geopolitical Forecasting and Military Strategy by Alapeti Ware (published 19-02-2025)
https://www.authorea.com/doi/full/10.36227/techrxiv.174000592.24033277/v1?commit=c2023c0ca2708337b54faeaa7ffa50c8d1570d2e
Preprint: Quantum Neuromorphic Intelligence Analysis Geopolitical Forecasting and Military Strategy by Alapeti Ware (published 19-02-2025)
https://www.authorea.com/doi/full/10.36227/techrxiv.174000592.24033277/v1?commit=c2023c0ca2708337b54faeaa7ffa50c8d1570d2e
Preprint: Quantum Neuromorphic Intelligence Analysis Geopolitical Forecasting and Military Strategy by Alapeti Ware (published 19-02-2025)
https://www.authorea.com/doi/full/10.36227/techrxiv.174000592.24033277/v1?commit=c2023c0ca2708337b54faeaa7ffa50c8d1570d2e
TechRxiv. September 2024.
doi.org/10.36227/tec...
TechRxiv. September 2024.
doi.org/10.36227/tec...
www.techrxiv.org
www.techrxiv.org