I hate LLMs so much.
| Mapkeep | https://mapkeep.com |
Tristan Slominski
@tristanls
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Creator of https://mapkeep.com, a tool for visualizing, executing, and tracking your business and product strategy.
In case you're wondering what Stage 1 was (allocate the surplus to consumers)
Stage 2 of #enshittification is well in progress. The surplus is being shifted away from consumers. chatgpt is already not working on mobile web.
Stage 3, that comes after, will take surplus away from the content producers. They'll have to pay for content (not ads) to be shown
I'm looking for Mac-only IT support company for SMB. Anyone have good experiences?
I find it wild how AI is this unstoppable force and also we have to change every API and data format to markdown.
I'm looking for a full-time remote Staff Software Engineer to join our team in building an open-source platform.
https://thousandbrains.org/company/careers/staff-software-engineer/
Staff Software Engineer
As a software engineer on the Thousand Brains Project, you will shape our open-source code base to make it accessible to a large research community. Additionally, you will write code and maintain infrastructure supporting our researchers’ experiments. Eventually, you will create an easy-to-use SDK from our existing research code that enables people worldwide to apply our solutions to their problems. This is a full-time position. Working remotely is possible.
Are you a software developer who wants to work on AI but doesn't have the classic Machine Learning / LLM / deep neural network experience? Then, I'm looking for you...
I'm looking for traditional software engineers to build our sensorimotor intelligence platform.
https://thousandbrains.org/company/careers/open-source-software-engineer/
Open-Source Software Engineer
As a software engineer on the Thousand Brains Project, you will shape our open-source code base to make it accessible to a large research community. Additionally, you will write code and maintain infrastructure supporting our researchers’ experiments. Eventually, you will create an easy-to-use SDK from our existing research code that enables people worldwide to apply our solutions to their problems. This is a full-time position. Working remotely is possible.
The paper demonstrating neocortex-inspired sensorimotor AI is finally here!
If you are interested in what comes after LLMs, then this is the one to read.
https://arxiv.org/abs/2507.04494 - Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference
Thousand-Brains Systems: Sensorimotor Intelligence for Rapid, Robust Learning and Inference
Current AI systems achieve impressive performance on many tasks, yet they lack core attributes of biological intelligence, including rapid, continual learning, representations grounded in sensorimotor interactions, and structured knowledge that enables efficient generalization. Neuroscience theory suggests that mammals evolved flexible intelligence through the replication of a semi-independent, sensorimotor module, a functional unit known as a cortical column. To address the disparity between biological and artificial intelligence, thousand-brains systems were proposed as a means of mirroring the architecture of cortical columns and their interactions. In the current work, we evaluate the unique properties of Monty, the first implementation of a thousand-brains system. We focus on 3D object perception, and in particular, the combined task of object recognition and pose estimation. Utilizing the YCB dataset of household objects, we first assess Monty's use of sensorimotor learning to build structured representations, finding that these enable robust generalization. These representations include an emphasis on classifying objects by their global shape, as well as a natural ability to detect object symmetries. We then explore Monty's use of model-free and model-based policies to enable rapid inference by supporting principled movements. We find that such policies complement Monty's modular architecture, a design that can accommodate communication between modules to further accelerate inference speed via a novel `voting' algorithm. Finally, we examine Monty's use of associative, Hebbian-like binding to enable rapid, continual, and computationally efficient learning, properties that compare favorably to current deep learning architectures. While Monty is still in a nascent stage of development, these findings support thousand-brains systems as a powerful and promising new approach to AI.
The Next Monty 3D Environment Simulator
This is an overview of the state of Monty’s 3D environment simulators as of December, 2024. It discusses existing constraints and highlights where contributions would be particularly helpful.
https://nomotherships.substack.com/p/the-next-monty-3d-environment-simulator
The code for the Thousand Brains Project is now open source and available. If you're curious what comes after LLMs in #AI, this is the place to watch. Better yet, contribute to the research and the code. Exciting times ahead.
