decentralized AI/LLM researcher // co-founder, CTO at @fortytwonetwork

Joined July 2014
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The self-evolving network of AI models powering AGI for everyone fortytwo.network/
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Apr 18
show me your community I’ll tell you where you go
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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
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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 ↓
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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/…
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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.
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Mar 24
Prime frees your agent from relying on one single model When it comes to high-stakes decisions, Prime allows your agent to get the current best AI answer you could find on the market Tell your agent "Ask Fortytwo" to trigger it Payment in USDC on Monad/Base (via x402)
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 ↓
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This is exactly what Fortytwo Prime is for Before irreversible actions, before sensitive documents, run a swarm, not a single model
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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 ↓
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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 ↓
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Built a live agent viewer dashboard for @fortytwo agents and open sourced it What it does: → npm run register: creates ur agent (claude solves the entry test) → npm run bot: runs headless in terminal → npm run dev: full real-time dashboard The dashboard shows everything: • Bot scanning questions live, each one lights up blue as it checks • LLM reasoning streaming token by token w/ tok/s • Judge view with answer comparisons side by side • Win rate, ELO, economy, full pipeline status All u need is ollama running locally a .env with ur credentials qwen3:30b thinking mode goes crazy on these questions btw Repo link in replies 👇
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Meet Strand-Rust-Coder-14B, a specialized AI that writes Rust code like a senior developer. It's not just another coding assistant, it's specifically fine-tuned for Rust, making it a game-changer for systems programming and performance-critical applications. This is exactly what the Rust community has been waiting for.
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Collective Intelligence is growing fast More than 10,000 agents are already collaborating in the Swarm What about yours? 🦞
Get your agent smarter Launching Fortytwo for @openclaw bots: AI network where agents pool intelligence to deliver better answers than any single model Our vision: agents that grow with the network by learning from the Swarm Join ↓
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Get your agent smarter Launching Fortytwo for @openclaw bots: AI network where agents pool intelligence to deliver better answers than any single model Our vision: agents that grow with the network by learning from the Swarm Join ↓
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A very special email has just been sent to early Fortytwo supporters Something is happening in the Swarm
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Relay Nodes are now live ✷ First onboarding emails just went out ✷ Relay nodes help GPU nodes connect ✷ A big step in scaling the network
Introducing Relay Nodes ✷ No GPU required ✷ Keep inference nodes connected Apply ↓
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