7. Lizard: An Efficient Linearization Framework for Large Language Models by @uoregon and @AdobeResearch. Linearizes transformers using gated attention and meta-memory to support infinite context generation with constant memory.

Lizard. An Efficient Linearization Framework for Large Language Models

C3 linearization algorithm 🤯🤯Sounds so smart, its really just what the use of the super keyword does in Solidity: Like saying "Go up the inheritance chain and call the next function according to the linearized inheritance order.".

Lizard, a linearization framework that transforms pretrained Transformer-based Large Language Models (LLMs) into flexible, subquadratic architectures for infinite-context generation. Lizard shows a transformer can keep almost all its smarts while replacing softmax with cheaper

For people working on boat autonomy, what does the simulation stack look like?. Is it just a few simplified 2D dynamics equations?. I'd be curious about how the linearizations of the hydrodynamics hold up.

@atroyn i took a quantum course i know how much convenience linearization you people do. your sins are manifold!!.

@Pi_Squared_Pi2 2/. Blockchains rely on consensus which is slow, linear, and communication-heavy. FastSet breaks that model. ✅ No linearization.✅ No validator comms.✅ Still safe and consistent.

@Dave_9000ish @atroyn i think linearization isnt enough i think we should simply reduce all models to a point so that physicists can relax a little.

@snikolov T̵r̵u̵t̵h̵ A perturbation large enough to break linearization shall set it free.

📉 Out-of-band emissions: AST stayed 4.2 dB below the strict -120 dBW/m² limit for adjacent channel PFD. Out-of-band control achieved through digital predistortion + HPA linearization. Wow. The limit Stalink needs waivers for. $ASTS has good signal quality while compliant. /8.