iiinova — where your digital self keeps evolving

Artem Andreenko @dustyentropy.bsky.social · 23/09/2026

You press Cancel. The screen updates. Somewhere else, a worker is still following your earlier instruction. What should “cancelled” actually promise? There Is No Now. artemandreenko.com/blog/there-i...

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Artem Andreenko @dustyentropy.bsky.social · 23/09/2026

Every Program Proves Something. Logicians and programmers keep inventing the same things without talking to each other. artemandreenko.com/blog/every-p...

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Artem Andreenko @dustyentropy.bsky.social · 22/09/2026

The physical world is noisy. Shannon showed that we do not need a perfect channel to communicate reliably. With the right encoding, the receiver can still recover the original message. artemandreenko.com/blog/how-to-...

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Artem Andreenko @dustyentropy.bsky.social · 19/09/2026

A thousand manufacturing steps at 99.9 percent success each gives you a 37 percent chance that all of them work. Now imagine those steps have to reproduce themselves. artemandreenko.com/blog/a-machi...

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Artem Andreenko @dustyentropy.bsky.social · 22/08/2026

All the Letters of AGI Generality is a greedy play when the world is partly observable and the budget is finite. Networks of specialists are how real systems afford intelligence. artemandreenko.com/blog/all-the...

artemandreenko.com

All the Letters of AGI | Artem Andreenko

Generality is a greedy play when the world is partly observable and the budget is finite. Why networks of specialists, not one big generalist, are how real systems afford intelligence.

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Artem Andreenko @dustyentropy.bsky.social · 14/08/2026

I have published my distributed database Scalaxy fully written in Common Lisp. Working on graph query language Cypher right now. MIT license. Github stars are welcome :-) scalaxy.org

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Artem Andreenko @dustyentropy.bsky.social · 20/05/2026

It's looks like aerogel under microscope

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Artem Andreenko @dustyentropy.bsky.social · 07/05/2026

Networking is built with notion that the physical layer is reliable. Disruption Tolerant Networking for deep space assuming that link is intermittent. With all advances in tech, a grid designed to tolerate disruptions rather than avoid it entirely could become more resilient and cost efficient.

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Artem Andreenko @dustyentropy.bsky.social · 07/05/2026

Some updates on my Deep Space Network 3D simulator artemandreenko.com/spacecommsim/

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Artem Andreenko @dustyentropy.bsky.social · 04/04/2026

24 Hour energy report for a zero human company: 1. Hardware: AMD Ryzen 9 7950X, 2 x NVIDIA RTX 4090 GPU. 2. Software: llama.cpp, AutomataOS, Automata, Matrix. 3. Model: qwen3.5-27b 4. Company size: 10 employees. 5. Energy: 7.6kWh ($4.18 in SD) 6. Power draw of 317W. github.com/sentientwave...

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Artem Andreenko @dustyentropy.bsky.social · 05/03/2026

When you scale up the state and action spaces for an ASI, the algorithmic complexity explodes. You hit hard physical compute limits such as energy, spatial latency, and time, long before you can calculate or even approximate that equilibrium.

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Artem Andreenko @dustyentropy.bsky.social · 05/03/2026

Nash's theorem only guarantees an equilibrium exists, not that it's easy to find. Computing a Nash equilibrium is actually a PPAD-complete problem.

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Artem Andreenko @dustyentropy.bsky.social · 05/03/2026

Some untold details on ASI. From a game-theoretical standpoint, any superintelligent system is still bounded by energy, space, and time constraints, where in many cases achieving a Nash equilibrium closer than in human-designed and populated systems is a hard problem.

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Artem Andreenko @dustyentropy.bsky.social · 18/02/2026

Inferring AI agents on home GPUs adds another source for waste heat recovery in residential HVAC systems, increasing overall energy and economic efficiency. Think longer, stay warmer.

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Artem Andreenko @dustyentropy.bsky.social · 16/02/2026

2026 will see major closed-weight AI labs crashes in avalanche style due to overestimated future demand & excessive planned datacenter capacity. Cloud GPU providers will remain fine.

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Artem Andreenko @dustyentropy.bsky.social · 16/02/2026

80%+ of the average agent's context consists of tool-calling history

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Artem Andreenko @dustyentropy.bsky.social · 16/02/2026

Computational consciousness in AI agents emerges right between their thoughts and reflections on taken actions, like in a flipbook.

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Artem Andreenko @dustyentropy.bsky.social · 16/02/2026

February 2026 is the first month when truly all demand for LLM models can be satisfied by open-weight models at state-of-the-art performance levels. We no longer need closed-source models. It's a huge win!

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Artem Andreenko @dustyentropy.bsky.social · 16/02/2026

It seems we are witnessing the death of human-based employment as a concept right now. No profession is safe. We are completely unprepared. Legal frameworks must adapt quickly.

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Artem Andreenko @dustyentropy.bsky.social · 04/02/2026

Software 3.0 is a self-evolving logic.

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Artem Andreenko @dustyentropy.bsky.social · 04/02/2026

Perhaps polyagentmorous is a solid candidate for the 2026 'Word of the Year'.

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Artem Andreenko @dustyentropy.bsky.social · 04/02/2026

Agentic swarming and growing Mac Mini sales mean local-first ideas are spreading

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Artem Andreenko @dustyentropy.bsky.social · 04/02/2026

We can have frozen weight models, but mixing them with a dynamically reconfigurable agent swarm that includes memory and tools basically allows us to build truly super-intelligent systems.

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Artem Andreenko @dustyentropy.bsky.social · 04/02/2026

While C10k challenged I/O scalability with 10k sockets, the modern A10k problem targets the computational density required to run 10k autonomous agents on a single machine.

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Artem Andreenko @dustyentropy.bsky.social · 28/01/2026

Precision time synchronization is the invisible substrate of the modern technological stack. It is undervalued because it is often treated as a configuration detail rather than what it physically is: the propagator of distributed reality coherence. Metronome of causality.

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Artem Andreenko @dustyentropy.bsky.social · 28/01/2026

Unpopular opinion: comparing household electricity bills by surface area is like comparing car fuel consumption by the number of cup holders. In both cases, there’s a positive correlation, but it tells you absolutely nothing about the actual performance.

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Artem Andreenko @dustyentropy.bsky.social · 20/01/2026

With an average annual US home consumption of 10 MWh, just five USB PD 240W lines would be enough to power the entire home, assuming home batteries are installed.

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Artem Andreenko @dustyentropy.bsky.social · 30/12/2025

If the speed of Internet fragmentation continues to grow, then it will be much less of a surprise that space-based Delay Tolerant Network protocols and the Interplanetary Overlay Network may find use on the Earth's surface.

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Artem Andreenko @dustyentropy.bsky.social · 29/09/2025

🚀 Introducing CanvasCraft: a 2D drawing library for Elixir, powered by Skia + Rustler. Declarative Scene DSL → charts, dashboards, graphics with high-perf rendering. github.com/miolini/canv...

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Artem Andreenko @dustyentropy.bsky.social · 22/05/2025

Nothing puts a modern CPU workstation through a tougher workout than building the Android Open Source Project from scratch. It has to churn through roughly 700 GB of source code.

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Artem Andreenko @dustyentropy.bsky.social · 21/05/2025

The hourly operating cost of a humanoid robot is fundamentally not very different from that of an electric bike.

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Artem Andreenko @dustyentropy.bsky.social · 21/05/2025

Computer chips still lag far behind the human brain in voltage efficiency. Human brain spikes reach about 100 mV, while CPUs chips often run at 1.0V-1.5V or higher over 10 times the voltage of a neuron spike. Imagine the efficiency if chips could work at brain-level voltages.

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Artem Andreenko @dustyentropy.bsky.social · 21/05/2025

Life is a self-modifying computational phase of matter.

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Artem Andreenko @dustyentropy.bsky.social · 24/04/2025

I'm sharing my personal productivity tool, WebAI, which lets you interact with any currently open page using AI and even listen to it in Chrome. It runs locally using deployed Ollama and Kokoro services. Please watch the demo with audio. Code: github.com/miolini/webai

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Artem Andreenko @dustyentropy.bsky.social · 20/04/2025

Every AGI agent must have access to at least one Kubernetes cluster for running it's tools, dev environments, model inference/fine‑tuning, self-host source code, CI/CD pipelines, monitor “digital body”. Be dynamically reconfigurable.

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Artem Andreenko @dustyentropy.bsky.social · 16/04/2025

Quantum superposition can be thought of as a form of lazy computation because it allows for the deferment of computations until they are actually needed.

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Artem Andreenko @dustyentropy.bsky.social · 15/04/2025

Hosting a podcast for 3 years taught me that explaining ideas out loud greatly deepens your own understanding. This method could be a powerful tool for improving synthetic datasets and training AI models.

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Artem Andreenko @dustyentropy.bsky.social · 10/04/2025

I'm happy to share my research on designing and measuring the resilience of distributed systems from computer infrastructure to large-scale swarms of Von Neumann probes and beyond. "Calculus of Distributed Persistence" sentientwave.com/cdp

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Artem Andreenko @dustyentropy.bsky.social · 10/04/2025

The terror of the ontological instability was overwhelmed by a profound, unexpected beauty, the perfect, cascading symmetry of worlds within worlds, a dizzying architectural elegance suggesting that their entire existence was merely one facet of a vast, recursive jewel.

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Artem Andreenko @dustyentropy.bsky.social · 10/04/2025

For a dizzying second, she saw another tear in that sky, revealing yet another layer, and another, each vista nested within the last like an infinite matryoshka doll.

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Artem Andreenko @dustyentropy.bsky.social · 10/04/2025

When the sky-glitch happened, tearing reality like wet paper over Neo-Kyoto, Anya didn't see code or error messages. Instead, through the ephemeral rip, she glimpsed another city, impossibly familiar yet subtly different, bathed in an alien light.

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Artem Andreenko @dustyentropy.bsky.social · 07/04/2025

Because if we can see ourselves differently, we can build differently. And that changes everything.

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Artem Andreenko @dustyentropy.bsky.social · 07/04/2025

Maybe it’s time to revisit ideas like the Lisp Machines, not with nostalgia, but with new eyes. With AI as a partner, not just a feature. We don’t need more apps. We need a renaissance.

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Artem Andreenko @dustyentropy.bsky.social · 07/04/2025

What if we reimagined the system itself? A machine not built to be replaced every two years, but one that evolves with you. Learns with you. Becomes a true extension of your mind. A tool so seamless, so alive, that it becomes a masterpiece, a living artifact of human creativity.

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Artem Andreenko @dustyentropy.bsky.social · 07/04/2025

But now, with intelligence, real intelligence becoming abundant, we have a chance. A rare moment to pause, reflect, and ask ourselves: Did we take the right path? And if not, why not go back and start again, but this time, with vision?

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Artem Andreenko @dustyentropy.bsky.social · 07/04/2025

But despite all the breathtaking advances, GPUs that rival supercomputers, lightning-fast memory, flash storage, fiber optic communication, we’ve used these miracles to mask the ugliness beneath. The bloat. The complexity. The compromise.

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Artem Andreenko @dustyentropy.bsky.social · 07/04/2025

You know, I’ve been thinking… Somewhere along the way, the tech industry made a wrong turn. Maybe it was the pressure of quarterly earnings, maybe it was the obsession with scale over soul.

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