Jamieson Warner

Trying to reproduce the developmental program behind brain connectivity. Website: jamiesonwarner.con

[Jamieson Warner @Jobamey]

@zzznah Looks like a cnidarian

[Jamieson Warner @Jobamey]

@MiTiBennett Outsider to this field, but I thought the Invariance Principle justified MDL under the argument that description length should translate across universal compilers. What’s the refutation to this?

[Jamieson Warner @Jobamey]

@zzznah Complex behavior from simple rules

[Jamieson Warner @Jobamey]

@junior_rojas_d You could make wall-mounted arms with this

[Jamieson Warner @Jobamey]

What space does d/dt( 🧅 ) live in?

[Jamieson Warner @Jobamey]

The time derivative of an onion is its developmental process

d/dt( 🧅 ) = ?

[Jamieson Warner @Jobamey]

It lives in a space of possible inferential programs, coded by DNA, which transform the energy function to prefer some states over others

[Jamieson Warner @Jobamey]

@mathelirium Though if one zooms in far enough, no physical instrument can detect what happened during a dt. Real instruments can only observe the macroscopic, cumulative effects, not the infinitesimal fluctuations.

[All day Astronomy @forallcurious]

This is what a moment of learning looks like!

Process called synaptogenesis. This is the formation of new connections, known as synapses, between neurons in the brain.

[Jamieson Warner @Jobamey]

@male_leo_xxvi That is because we are good at inferring what caused what we see

[Jamieson Warner @Jobamey]

Neurons, like people, enter life without knowing where they are or what they should become, and they figure it out by connecting with their community.

[World of Science @Science_TechTV]

neuron trying to connect to other neurons

[Jamieson Warner @Jobamey]

Self-organization of functional motor-controlled bodies

[Junior Rojas @junior_rojas_d]

left-right axis determination during early cell proliferation

[Jamieson Warner @Jobamey]

@JRBneuropsiq Any complex system derives from a previous simple system which worked correctly.

[水江未来 @MIRAI_MIZUE]

Let's take a peek inside the pupa to see what's happening.

蛹の中で何が起こっているのか覗いてみましょう。

[Hadi Vafaii @hadivafaii]

The blueprint for this "grand unification" already exists:

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🔹1961: Landauer established the thermodynamic cost of bit erasure (https://t.co/JIY1djdrRX)

🔹1982: Bennett resolved Maxwell’s Demon, proving that logical irreversibility (erasure), rather than measurement, necessitates thermodynamic work (https://t.co/fwtWHCsm5N)

🔹Late 1990s: Jarzynski and @gavincrooks related non-equilibrium work to equilibrium free energy. Their Fluctuation Theorems were later used to derive the entropy production cost of statistical inference (https://t.co/4J6G1aU1Qb; https://t.co/qRvf7ZMlac)

🔹2007: Kawai et al. proved average thermodynamic entropy production equals the KL divergence between forward and backward path distributions( https://t.co/DyzcIURZWQ)

🔹2009: Sagawa & Ueda incorporated information theory into this framework, bounding the energetic cost of measurement and feedback (https://t.co/VtDFAB8IgV)

🔹2019: Wolpert extended stochastic thermo to formal computational architectures, including Turing machines and boolean circuits (https://t.co/kfWTE5Z4nL)

🔹...and many more works in thermo/non-equilibrium stat mech that are waiting to be formally connected to computer science/ML concepts.

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Formalizing this mathematical connection is a central research interest of mine. Reach out if you have ideas (DMs open).

[The Figen @TheFigen_]

They are ants solving a geometric problem and it is mind-blowingly colorful.

[Jamieson Warner @Jobamey]

@bayesianboy Good luck!

[Ettore Randazzo @RandazzoEttore]

Excited about self-organising sytems? Do you have a cool paper, either in the works or ready? Then consider applying to our Evolving self-organisation workshop at @GeccoConf ! Submission Deadline March 27
Also check out the amazing workshop website:
https://t.co/8gXc8CERWS

[Jamieson Warner @Jobamey]

I increasingly think so much intelligence is embedded in the connectome.

I wrote about how this connects with AI-generating algorithms: what we need are connectome-generating algorithms.

https://t.co/gIdivs7ton