Our Future Is Being Devoured By Feral Thought Experiments

How are we writing the future of humanity?

Consciousness spinning

All Possible Views About Humanity's Future Are Wild

If humans will eventually spread out across the galaxy, then we are among the earliest living beings, with remarkable opportunities to shape the future

The one science reform we can all agree on, but we're too cowardly to do

OR: the long overdue forest fire

To Make Sense of the Present, Brains May Predict the Future | Quanta Magazine

A controversial theory suggests that perception, motor control, memory and other brain functions all depend on comparisons between ongoing actual experiences and the brain’s modeled expectations.

Joshua Achiam on Twitter / X

There is a fact about the future that I feel many people are not facing for reasons that are largely psychological: there are going to be rogue AIs that exist in the world, that will replicate in the wild, and that will attempt to acquire resources for themselves. There will be…— Joshua Achiam (@jachiam0) September 1, 2026

Grow like Trees: An Organic Approach to Societal Regrowth

2026 is the year that system breakdown became impossible to deny.  Democratic norms, societal norms, rule of law, the fabric of the social contract tearing as we watch. Or hide, unwilling or unable to face the unravelling. The hopeful among us see opportunity through the dark.  Tentatively or boldly we

Reality Blind - Vol. 1

Integrating the Systems Science Underpinning Our Collective Futures

Aleph

We're a research lab working on new interfaces for the brain. We think our telepathic future is both imminent and wonderful.

Rewilding cultures

Rewilding Cultures is a new step of Feral Labs Network. The project was initiated and si coordinated by Projekt Atol Institute (SI) in partnership with Schmiede (AT), Cultivamos Cultura (PT), Ionian University (GR), The Culture Yard (DK), Udruga Radiona (HR), Bioart Society (FI) and Makery.info (FR)

Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli | Keith Doelling

This is some very cool work by some awesome colleagues Jean-Rémi King, and Teon Brooks! Seriously not enough good things can be said about how cool it is. You should enjoy it and play with it. And kudos to Meta for open sourcing it. At the same time, I'm already seeing posts about how the model will replace fMRI experiments as researchers will simulate how the brain "really works" instead of running costly experiments. I think this goes WELL beyond what its creators intend. We are already seeing that use of AI in science allows you to explore charted ideas more thoroughly and much more rapidly but slows us down in finding novel ideas (https://lnkd.in/eMR2akqt). At the same time, there is growing concern that LLM performance will collapse as they are increasingly trained on their own output (https://lnkd.in/eavgfyuY). Leaving neuroscience to AI simulations risks following the same fate, where we generate seemingly new findings without gaining new meaning. A mechanistic understanding of how the brain works (if that is still your goal) will be found at the margins, in errors and idiosyncrasies of neural function. What TRIBE provides is a super useful and cool instantiation of our current understanding on how and where neural activity is instantiated in the brain. But it won't help us make groundbreaking new findings of how neural circuits lead to cognition and behavior. Experiments on real human brains, may be costly, but they will always be necessary!

Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli | Keith Doelling

This is some very cool work by some awesome colleagues Jean-Rémi King, and Teon Brooks! Seriously not enough good things can be said about how cool it is. You should enjoy it and play with it. And kudos to Meta for open sourcing it. At the same time, I'm already seeing posts about how the model will replace fMRI experiments as researchers will simulate how the brain "really works" instead of running costly experiments. I think this goes WELL beyond what its creators intend. We are already seeing that use of AI in science allows you to explore charted ideas more thoroughly and much more rapidly but slows us down in finding novel ideas (https://lnkd.in/eMR2akqt). At the same time, there is growing concern that LLM performance will collapse as they are increasingly trained on their own output (https://lnkd.in/eavgfyuY). Leaving neuroscience to AI simulations risks following the same fate, where we generate seemingly new findings without gaining new meaning. A mechanistic understanding of how the brain works (if that is still your goal) will be found at the margins, in errors and idiosyncrasies of neural function. What TRIBE provides is a super useful and cool instantiation of our current understanding on how and where neural activity is instantiated in the brain. But it won't help us make groundbreaking new findings of how neural circuits lead to cognition and behavior. Experiments on real human brains, may be costly, but they will always be necessary!

Speculations on the Future of the Scientific Method

The following essay was published 20 years ago (January, 2006) on my blog The Technium. I edited the intro here, but the speculations are basically unchanged.

The Future of Everything is Lies, I Guess: Where Do We Go From Here?

This is a long article, so I've broken it up into a series of posts, listed below. You can also read the full work as a PDF or EPUB.

The Shape of the Thing

Where we are right now, and what likely happens next