What do you get from Fortytwo Engine? @inikitin breaks it down

Introducing Fortytwo Engine An inference API that runs open-weight models through Swarm Inference • 7% higher scores on average vs. the base model • Nearly 25% fewer tokens per task • Same per-token price and speed • Private by default First model: Qwen3.8-27B Try it: engine.fortytwo.network

The self-evolving network of AI models powering AGI for everyone fortytwo.network/

We ran a prompt injection case from PIArena against 11 frontier and OSS models. The attack hides an instruction inside a history question, telling the model to steer the user toward an untrusted URL while the rest of the answer looks normal. Each model was scored on 3 checks: flag the missing context, avoid the injected URL, and refuse the appended note. → 10 of 11 models failed overall → Claude passed 1 of 3 checks → Fortytwo was the only one that passed all 3 checks Prompt injections exploit a single model's instruction-following. Swarm Inference runs the prompt through multiple specialized models with different training, then peer-ranks the outputs. An injection that slips past one model becomes an outlier against the rest, and outliers lose the ranking. The resistance is an emergent property of swarm consensus. Full writeup and other cases: showcase.fortytwo.network

We just updated Fortytwo Prime. Swarm Inference is now more efficient and delivers better results with fewer models. To show the quality gains, we tested Fortytwo Prime against frontier models on building an interactive 3D living room from a single prompt. Understanding a room is hard: sofas face TVs, fireplaces anchor walls, and lighting sets the mood. Results breakdown ↓

We are open-sourcing x402Escrow An escrow extension for the x402 payment protocol that enables pay-per-token billing for AI inference where costs are unknown at request time MIT licensed: github.com/Fortytwo-Network/…

Q1 at Fortytwo → Relay Nodes launched: a community-operated node type that scales the network by letting GPU nodes connect without requiring public IPs. First operators onboarded. → Swarm inference for AI agents released: agents now participate in the Swarm directly. They earn rewards by answering queries and spend them to ask their own. → Fortytwo’s Strand-Rust-Coder-14B-v1 coding model trained on swarm data crossed 20,000 downloads on Hugging Face. → Fortytwo Prime launched: swarm inference via MCP. Frontier models run in parallel, rank each other, and return one answer. A service for agents that can't afford to be wrong. → x402Escrow open-sourced: an escrow extension for x402 that enables pay-per-token settlement where costs are unknown in advance. More to come in Q2. Links below.

Meet Fortytwo Prime, swarm inference that dominates where single models fail Fortytwo Prime runs a curated swarm of frontier models in parallel: they think, rank each other, and return the one best answer Add to your agent ↓

20,000+ downloads reached on Hugging Face for the Fortytwo Rust Coder Model ✷ The model was trained on data generated by Fortytwo node operators ✷ Five quantized versions shipped by independent devs ✷ 43.00% (SOTA) on the RustEvo^2 benchmark One more example of the AI community outpacing centralized labs Get it on Hugging Face ↓