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Protocol is specified. Grammar is formal. The code runs. The benchmarks are real. If you’re working on knowledge distillation, model compression, or multi-agent systems. Tessera might be the missing layer.
GitHub: https://t.co/onDT9JE4PI
@huggingface, @PyTorch, @paperswithcode.
Four transfer modalities:
W — Raw weights + semantic annotations
C — Compressed features, activation stats (architecture-agnostic)
D — Datasets with curriculum metadata
B — Behavioural rules any model can ingest A single transmission can mix all four.
What’s in the box:
Python/PyTorch reference implementation
TBF v1.1 binary format (down to the byte),
CLI tool: tessera inspect, tessera validate, tessera benchmark, MCP server for AI agent integration, Differential privacy baked in
Apache 2.0
pip install tessera-core
Tessera is an activation-based protocol. Not a file format — a protocol. Instead of dumping weight tensors, it encodes what a model has actually learnt: activations, feature representations, behavioural
patterns — into self-describing tokens a receiving model can decode
What if every trained AI model could teach any other model what it knows — regardless of architecture?
That’s Tessera: an open protocol for AI-to-AI knowledge transfer.
We just shipped v0.1.0. Here’s the idea
@SABCNews_Radio Artificial Intelligence in education sector! Everyone should have access to read, write, be taught and tested in their native language. Mineral resources & mining in syllabus from grade one to grade 12, Garner experience to walk out of school into a job with our countries wealth
Earth already receives about the same energy from the Sun in an hour than humanity consumes in a year.
Solar panels just need to catch a tiny amount of it to power our entire civilization!
Why are RDP houses built as single dwellings instead tall project style buildings, just a question? surely it will be less use of land, easier to service with water, electricity and public transport.