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northlondoner

114 karma · joined March 22, 2023

Origins traced to North London, tech enthusiast.
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northlondoner··on Orbit.net Extra Packages for Nats.io
C# ecosystem is growing for NATS.io. Fully Linux compatible.
northlondoner··on Quantum measurement and importance of Dirac's bra
Bra state is special, it is about a reference state, an observing state.
northlondoner··on Astronomers found a mysterious object beyond Neptune, could be new dwarf planet
Those are called TNO (Trans-Neptunian Objects).

https://en.wikipedia.org/wiki/Trans-Neptunian_object

Because their orbits are not on the same plane as other proper planets. Pluto (a former planet) is a TNO.

northlondoner··on C# and NATS.io for agentic AI orchestration
C# is a hidden gem on this, while it runs on linux, and fully open as an enterprise language, a rare combination with NATS.io for agent orchestration.
northlondoner··on Leymosun 0.4.45 Update: Leymosun Science: Quantum Research Toolkit
Now Leymosun supports 3.15.2 minimally.
northlondoner··on Leymosun Science: Quantum Research Toolkit: Python 3.15 Release
leymosun 0.4.42: Now Python 3.15 supported.

Quantum information, statistics, dynamics and closely related computational tools. Quantum core, random matrix tools, spectral analysis tool, advanced linear algebra. Randomness tools.

northlondoner··on Ontological Language Models (OLMs)
Announcent soon from New Yorker physicist and AI researcher Dr. Riza Berkan.

Ontologies meeting RAG with LLMs. https://olmapp.ai/more.html

northlondoner··on Can gzip be a language model?
Reminded me Google's earlier paper, "Language Modeling Is Compression" https://arxiv.org/abs/2309.10668

Learning being a compression is also recently proposed as Gibbs compression proposition.

See Gibbs randomness-compression proposition https://arxiv.org/abs/2505.23869v5

northlondoner··on Can gzip be a language model?
Yes.
northlondoner··on New Yorker Riza Berkan: LLM versus Ontology for Efficient ML [video]
New Yorker Riza Berkan (https://www.youtube.com/@RogoTRON ) is on the something here. How can we leverage Ontology for more efficient ML. It might be great to see an advancement in this direction if we can accelerate the training of LLMs with ontologies.
northlondoner··on Leymosun Science: Quantum Research Toolkit
Quantum dynamics with Kyrlov complexity and bases. And many other tools. Growing Python toolkit.
northlondoner··on Improving C# Memory Safety
Compiler will enforce this. You won't be able to build without `unsafe` keyword. AFAIU.
northlondoner··on Improving C# Memory Safety
Superb development. This would elevate C# into first class systems language, Linux Kernel level.
northlondoner··on Python One go: Bootstrapped uncertainty quantification given observation matrix
One go function for Bootstrapped uncertainty quantification given observation matrix. It will generate at a given x% confidence interval, uncertainty. Signature is as follows:

def bootstrap_observed_matrix_ci( observations: np.array, nboot: int = 1000, lower_quantile: float = 0.025, upper_quantile: float = 0.975, )

northlondoner··on Spread Complexity and fidelity for entangled states with Python
A notebook from leymosun package, v0.4.14.
northlondoner··on Quantum computing bombshells that are not April Fools
I think "basic math" here means arithmetic or similar. Solutions exists, but current machines are noisy:

V. Vedral, A. Barenco, and A. Ekert, Quantum net- works for elementary arithmetic operations, Physi- cal Review A 54, 147 (1996).

northlondoner··on Quantum computing bombshells that are not April Fools
Related phenomenon is quantum Zeno Effect, https://en.wikipedia.org/wiki/Quantum_Zeno_effect Zeno Effect appears over selective observation, rather than selective states.
northlondoner··on Quantum computing bombshells that are not April Fools
Note that. The primary mechanism in error-correction paper is "selective quantum observations". It means we don't need to use all available resource but selectively error-correct. Similar idea is also recently explored in quantum chaos, whereby system is still chaotic but localisation can be observed in the ancillary system.

https://arxiv.org/abs/2512.22169v3

northlondoner··on Selective observations in quantum control gaining interest
Recent work on quantum chaos, shows that selectively observing quantum chaotic system can localise reading. Similar idea of selective pairing in quantum error correction codes lead to promising improvements, recent qLDPC.
northlondoner··on AGPLv3 argument against clean room (re)engineering
I was hoping AGPLv3 help somehow, as sounded like there is a room for argument what constitutes "delivery mechanism." But "..we're far from the death of open-source software." this sounds great. Thank you for the thoughtful response.
northlondoner··on Chuck Norris has died
Chuck Norris never dies. Culmination of Human sprit.
northlondoner··on Chuck Norris has died
The only person that can train LLMs with his mind.
northlondoner··on Chuck Norris has died
He was a hero in tech and science as well. I recall during my PhD studies, we always create new memes on our field that Chuck can finish things in no time. In loving memory of Chuck Norris.
northlondoner··on RIP Chuck Norris
He was a hero in tech and science as well. I recall during my PhD studies, we always create new memes on our field that Chuck can finish things in no time. In loving memory of Chuck Norris.
northlondoner··on Cyprus Becomes Associate Member of the European Space Agency
This is a leap forward for Cyprus space community and also physics and astronomy community.
northlondoner··on Game theory meets lattice gases and spin-glasses: Zero-player Entropy Game
A newly proposed game, a new type of model, game theory meets thermodynamics.
northlondoner··on JetStream NATS.io C#: Example primitive for composite learning, reading data
The primary operation for composite learning, reading data.
northlondoner··on Super-Diffusion of Ergodicity
An approach to ergodic regime, nonlinear behaviour.
northlondoner··on Fault tolerant message passing C# with NATS.io: Use Distributed Object Store
The Object Store of NATS.io can be used for applications leveraging Map/Reduce computations and Federated Learning settings.
northlondoner··on Podcast: Solving Distributed Message Passing: NATS.io composite learning [video]
Message Passing, is a fascinating subject. One of the early prominent project was/is MPI ( https://en.wikipedia.org/wiki/Message_Passing_Interface ). So many great concepts and high-level abstractions are developed by the outstanding researchers in MPI. NATS, probably serves in the era of the "larger" Internet (as MPI mostly designed for local clusters).
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