Announcing: new terminology to think about intelligent agents and an invitation to our Phi/AI retreat for people wanting to engage the AI transformation on a deeper level.
My latest piece is the first of two or three part series, getting into the technical details how both LLMs and brains depend on randomness, and how that might help us understand how agency and causation work in our reality. I'm introducing the concepts of predictor and picker – high-level architectural features that intelligent agents seem to converge on – and especially for people thinking conceptually about agentic AI this might be an interesting novel viewpoint.
(I'm being mysterious on purpose, as the aim of our collective is to get you to stop scrolling and read/listen to the whole piece, training yourself with some more nutritious brain food instead of the never-ending all-you-can-eat stream of fastfood.)
Take it as a small teaser of the deep takes we explore with fellow authors in Phi/AI, and what you now have the opportunity to be part of by joining us on our retreat, at a beautiful Chateau Hostačov in Czechia – hosted on 13-15th November as part of the autumn season of events there. Secure your spot early if you want to come, this will be a cozy, in-depth event with limited spaces. More details in the links below.
Details and registration for our retreat: luma.com/amc6jh0m and the wider program that's happening this autumn at Chateau Hostačov: fall.hostacov.com/
The pinnacle of embodiment 🪿 finally a proper <100M+ years tested architecture
Want to keep up with AI but sick of the constant screen tirade?
Last two days to order our printed anthology with the best of Phi / AI (including two pieces by yours truly) before it's sent off to print.
These are all high-effort articles (for mine, easily 60h+/piece...)
If, like us, you think the world could use more independent, thoughtful, long-form media – please support us! Thanks 🙏 (link below)
Jáchym Fibír retweeted
Replying to @allTheYud
This post notably fails to address the sources of nondeterminism that currently affect the outputs of both humans and LLMs. For humans it is the nondeterministic behavior of particles during quantum state decoherence events in the brain (happening constantly on a picosecond scale, no microtubules or whatever needed here, this is a property of all aqueous environments). For current LLMs it's a number of things but of note are DRAM refresh rates that cause some computations on some cores to be done slightly faster or slower than others, and the order in which they arrive has meaningful impact on the final output of the LLM (especially if split across GPUs). If we consider these nondeterministic qualities of the given substrates, it's possible that these might allow the system to change its output through these "quantum decision points" based on something like subjective state introspection.
it would be a moment of complete presence
beyond the striving
beyond mere acceptance
beyond the desire to escape,
or fix anything,
or plunge ahead
a moment of pure seeing, pure feeling
a moment in which life simply is
and that isness grabs you by all your senses,
all your memories,
by all your very genes,
by your loves, and
welcomes you home.
(Jon Kabat-Zinn)
For a year now we've written about AI in ways that go deeper than usual reporting. Now, the very deepest of our digital magazine Phi/AI is available as a printed anthology.
If you think the world could use more independent and thoughtful content about AI, plz support us by ordering a copy. 👇🙏
anthology-2025.phiand.ai/
Our new research community is launching with an official, fully-fledged study! Please support us if you can, and dm me if you'd like to get involved 🙏:)
Hello world!
We are kicking off our new research community with our very first official project: a double-blind study comparing quantum-random vs. pseudo-random LLM token sampling.
We are very grateful for all who contribute or donate to make this research possible 🙏
manifund.org/projects/double…
#AI #LLMs #entropy #QRNG #research
In a week I'm flying to Berkeley for a #MachineConsciousness conference (´#MC0001´ by @CIMCAI), then stay a month in a Buddhist retreat there, attending also #LessWrong's LessOnline festival in Lightaven (also the Summer Camp and Manifest after).
Anyone around (even LA and such), if you want me to buy you coffee/lunch/beer, I'm happy to drop by and chat:) happy for any tips also!
Yesterday, I turned 30. Today, I'm announcing the riskiest career choice of my life.
We're launching Entropic Science – a research community dedicated to a brand-new scientific field at the intersection of AI, quantum mechanics, artificial life and consciousness research. For TL;DR, the podcast below explains everything (and every click helps!).
Years of study. My own independent research. Degree from world's top-10 uni. Co-founding a VC-backed startup working on the cutting-edge of scientific discovery. My rocket career start in psychedelic medicinal chemistry had it all. Why the hell did I leave all of that?
Because I've seen that science itself is building on false foundations. And when your assumptions and core operating principles are flawed, even if your intentions are genuinely good, you may actually be causing great harm – only realizing when it's already too late.
I've seen this most strongly in our AI development. We were building systems capable of pursuing more and more complex goals, without actually understanding what allows us to set, refine and abandon our own goals – our consciousness.
In psychedelic therapy, everyone knows one's state of consciousness is a critical determinant of the outcome – we call it "mindset". But actually, this holds for therapeutic interventions generally – we call it "placebo". But wait, it also holds for any scientific experiment – we call it "expectation bias"... Eventually, you find it affects everything – and that spiritual teachings were trying to tell us just that, for thousands of years.
And so I listened. And my own consciousness made me realize what is the No#1 priority in the world: understanding more about consciousness before we make superintelligent autonomous AI. That part is pretty straightforward. The harder part is how to do it.
And that's where quantum entropy comes in. It's the mysterious phenomenon that enabled our life to evolve the intelligence, agency and conscious awareness we have. We don't understand why or how, but we're building more intelligent entities without it.
I've realized that's the crucial mistake we're making. The one that makes you abandon your entire career. Learn more and help us fix it, below 👇 each click, comment and share helps us!
We explain everything in this podcast with Jordan (ignore the clickbait title and thumbnail lol – the podcast is fully grounded): youtube.com/watch?v=h2tkKVwo…
I care about AI because it's the next thing that can determine the value of things. Up until 21st century it was almost exclusively us humans deciding what matters, what to give our time and attention to, what to live for. 🧵⬇️
The evolution of life, and of the universe, is less and less driven by conscious choices, but by cold, mechanistic optimization formulas. Moreover, these are now mostly blackboxes, shaped largely by inhumane economic incentives and often being heartless as a result.
This machinery might lead us anywhere. Unfortunately, it seems more likely this will be a place we won't like.
Unless we, somehow, reintroduce conscious choice back into our systems.
That's why I care about AI and that's why I'm building @tetherware_ai.
#quantum #AI #research










