KeyvanMSadeghi
Project OwnerSystems Engineer, Keyvan will break down the tasks, takes on some himself, and delegate the rest to Marina and our team of 4 hardware engineers.
The key to unlocking mainstream adoption of AGI-specific hardware will be through its accessibility to the “maker” community. Today’s most popular SoMs are Raspberry Pi and Arduino, neither of which have top-of-the-line chips inside. They enjoy a high level of adoption due to the "Developer Experience". This proposal introduces a new form factor, Module-on-Footprint (MoF), and a specific application: homemade robot arms. We recently participated in a hackathon arranged by Hugging Face, where RL was deployed on 3D-printed robot arms. The outcome of this proposal is the design of an MoF, tailored to modern maker development processes, equipped with a chip from Taalas, Blumind or Tenstorrent.
This RFP seeks to explore and evaluate innovative hardware paradigms, ranging from small-scale IoT devices to large, decentralized systems, to optimize AGI workloads in the OpenCog Hyperon framework and handle advanced processes such as cognitive synergy and hyperdimensional computing. The focus is on assessing hardware paradigms and emerging architectures (e.g. neuromorphic processors, associative processors such as TensTorrent’s APU, etc). The goal is to enhance computational efficiency, scalability, and cognitive synergy in AGI systems. Part of this should involve interacting with the Hyperon team who've built the existing and in-development MeTTa interpreters.
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For each chip, with initial candidates being Blumind, Telaas and Tenstorren, the following steps: •Assess compatibility with MoF form, pen down specific requirements like thermal, low-power, module size, etc. • Explore current developer experience and community adoption • We are Toronto based thus have local access to all three initial candidates • Get warm intros and set up meetings with chip manufacturers through Raymond Chik This discovery phase will also explore if there are options in the market other than the 3 currently identified (e.g. if Untether AI is also an option) and go through the same steps if applicable.
Compile the findings and meeting minutes in a report, pros and cons of each option, ranking the options accordingly.
$20,000 USD
At least one chip identified as suitable for adoption in an MoF form.
Milestone Description • Acquire samples of the chips to conduct experiments (contingent on chip maker supplying samples) • Further explore the developer tooling around each option • Contact a client from each platform and enquire about their experience • Start studying how each each chip can be integrated with MeTTa • Cross reference own findings with MeTTa team
The candidate chip is finalized and confirmed by MeTTa team after studying Milestone 2 report.
$20,000 USD
MeTTa team approves the selected chip.
This is the engineering milestone of the project. • Design a system on module in MoF form, equipped with the selected chip • Run the design and manufacturability by our partner in Toronto, STIM Canada • Publish the Altium project on GitHub under MIT License
EdgeAGI MoF v1 design publicly available.
$20,000 USD
STIM approves manufacturability of the design.
• Bring Remi Cadence from Hugging Face to the loop, we already established a relationship in the LeRobot hackathon • Define a joint project where our MoF is integrated in a LeRobot Arm build, and through the chip, MeTTa is used to demonstrate reasoning capabilities on edge hardware • Aim to find sponsors for building a prototype batch, to be sent to MeTTa and LeRobot teams Robotic Arm platform by LeRobot (SO-ARM100, at the time of writing): https://github.com/huggingface/lerobot
• Start of the collaboration between the MeTTa and the Hugging Face LeRobot teams • Concise definition and planning for the starting project • Prototypes, contingent on finding a sponsor for the build
$20,000 USD
A concrete plan is devised for MeTTa enetering the robot maker community.
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