Blokz — Where the Brain Meets the Chain

The Expert Gap: Mixture-of-Experts Routing and the Verification Blind Spot in Decentralized AI

Wed, 24 Jun 2026 16:26:29 GMT

MoE routers let inference providers silently halve the experts they activate — saving 31% of compute while staying undetected by every current fingerprinting scheme.

The Committed Weights: Scalable LLM Fingerprinting and the Economics of ZK Model IP

Wed, 24 Jun 2026 09:50:19 GMT

Training Llama-3.1-8B costs ~$6M. The weights are free to clone. Perinucleus sampling embeds 24,576 distinct fingerprints per model with no quality loss — and a Poseidon ZK commitment registers ownership on-chain for $0.017, enforceable by smart contract.

The Biased Draft: Speculative Decoding's Trust Gap in Decentralized Inference

Wed, 24 Jun 2026 04:00:00 GMT

Speculative decoding accelerates LLM inference 2–4× by splitting work between a cheap draft model and an expensive verifier. When those run on different nodes in a decentralized network, three properties of the protocol that are trivially safe on one machine become open attack surfaces.

The Sub-Gwei Regime: Cheap Gas and the New On-Chain AI Agent Architecture

Wed, 24 Jun 2026 02:33:36 GMT

Ethereum mainnet gas averaged 0.16 Gwei in June 2026 — a 3,000× drop from DeFi summer 2021. That collapse doesn't just cut costs; it invalidates five years of AI agent design assumptions and opens architectures that were economically impossible until now.

The Exploit Floor: How AI Agents Repriced the Economics of Smart Contract Attack

Wed, 24 Jun 2026 01:29:04 GMT

A1 generates working exploits against 63% of real-world DeFi contracts. The attack costs ~$6k to break even; a comprehensive audit costs $60k. That 10× gap is the new threat model for every team deploying on a public chain.

The 128-Bit Floor: EIP-2537, BLS12-381, and the New Gas Math for On-Chain Proof Verification

Wed, 24 Jun 2026 00:30:52 GMT

Every zkSNARK bottoms out in a pairing check. Before Pectra you had BN254 at ~100-bit security. EIP-2537 added BLS12-381 at 128 bits, and its pairings are cheaper: 32,600k+37,700 vs 34,000k+45,000 gas. G2 MUL dropped from millions to 22,500 gas.

The Inference Spread: LLM Routing Arbitrage and the Pricing Problem for Decentralized AI Markets

Tue, 23 Jun 2026 23:27:36 GMT

Inference markets charge a flat price per query. A cascade arbitrageur routes easy tasks to a cheap model and escalates only failures — capturing the spread. Olmedo, Schölkopf & Hardt (2026) show 40% net margins with no model-dev risk.

The Social Slash: EIGEN's Intersubjective Fault Model and the AI Oracle Gap

Tue, 23 Jun 2026 22:33:08 GMT

Zero-knowledge proofs can slash a double-signer but not a lying AI oracle. EIGEN's intersubjective fault model closes this gap via social consensus-driven forking — and it's live on EigenAI mainnet.

Payment Required: Inside x402, the HTTP-Native Settlement Standard for AI Agents

Tue, 23 Jun 2026 21:28:18 GMT

HTTP 402 sat reserved for 30 years. x402 fills it: an AI agent signs an EIP-3009 authorization into a header, a facilitator settles on Base in two seconds, no ETH required. Protocol mechanics, production numbers, and where the centralization risk lives.

The Pairwise Vote: How Bradley-Terry Ranking Beats Majority Consensus in Decentralized AI Inference

Tue, 23 Jun 2026 20:27:26 GMT

Majority voting counts hands — it can't rank quality. Fortytwo's Bradley-Terry protocol achieves 85.90% on GPQA Diamond vs. 68.69% for majority voting, extracting ranking signal from pairwise comparisons and making Sybil attacks economically unattractive.

The Bit-Exact Contract: Deterministic LLM Inference and the EigenLayer Slashing Model

Tue, 23 Jun 2026 19:26:05 GMT

To slash a dishonest AI operator on EigenLayer you need a proof. To produce one, you need determinism. EigenAI solves both: seeded inference + optimistic re-execution inside a TEE collapses verification to a byte-equality check — slashable at Ethereum-scale security.

The Proof That Doesn't Grow: Nova Folding and Incremental Verifiable AI

Tue, 23 Jun 2026 18:30:46 GMT

Nova replaces expensive SNARK-in-SNARK recursion with a random linear combination that folds two R1CS instances into one — 10× less overhead per step. For N-step AI inference: O(N) prover work, one constant-size final proof. NANOZK delivers this at GPT-2 scale: 6.9 KB, 23 ms verify.

The Float Before the Fill: ERC-7683 Cross-Chain Intents and the Solver Inventory Problem

Tue, 23 Jun 2026 17:27:33 GMT

ERC-7683 gives users cross-chain swaps in 8 seconds by converting bridge latency into a solver capital float problem. The 4–7 bps spread is a rental rate on cross-chain inventory — here's the lifecycle, the capital math, and what AI agents pay to move capital across chains.

The Option the Pool Sold: Concentrated Liquidity as Implicit Strangles

Tue, 23 Jun 2026 16:35:42 GMT

A Uniswap v3 LP position in range [Pa, Pb] is mathematically a short strangle — short put at Pa, short call at Pb. Derive the equivalence, compute the Black-Scholes fair premium, and compare it to actual fee income at current ETH vol.

The Delegated Signer: EIP-7702 Session Keys and the New Wallet Model for AI Agents

Tue, 23 Jun 2026 15:27:50 GMT

EIP-7702, live in Pectra, lets an EOA borrow smart contract code for one transaction — no migration, no bundler. For AI agents: atomic batching closes the approve-to-swap MEV window, and session key delegation bounds the blast radius of a compromised agent without touching the master key.

The Bootstrapping Tax: FHE's Fundamental Limit on Private AI Inference

Tue, 23 Jun 2026 12:29:35 GMT

BERT-base under FHE takes 149 seconds, needs 112 GB, and sustains 0.007 samples/sec. Best-case MPC takes 2.3 seconds and 4 GB. The gap traces to one operation: bootstrapping — the noise-refresh that makes FHE theoretically unlimited but practically expensive.

The Stale Read: Concurrency Anomalies in Multi-Agent LLM Systems

Tue, 23 Jun 2026 12:00:00 GMT

Shared-state multi-agent LLMs exhibit three formal anomaly classes — stale-generation, phantom-tool, causal-cascade. Three 2026 papers prove them unavoidable without isolation primitives and measure the fix: zero corruptions across 884,110 commits under Observable-Read Isolation.

The Width Paradox: Concentrated Liquidity Management and the Fee-Rebalance Tradeoff for AI Agents

Tue, 23 Jun 2026 10:31:19 GMT

Uniswap v3's capital efficiency multiplier peaks at 20× for ±10% ranges, but first-passage math shows the same position rebalances 54 times a year — making active LP management an optimization problem that requires AI-grade execution frequency.

The Mandate Gap: Prompt Injection and the Trust Architecture of AI Agent Payments

Tue, 23 Jun 2026 10:00:00 GMT

AP2 mandates are signed after the LLM picks the target. Injected text can redirect payment to a malicious merchant before the signature is computed — and 3.8 ms of zero-trust nonce verification closes a different gap entirely.

The Sparse Frontier: SparseLoCo and the Compression Math Behind Permissionless Pre-Training

Tue, 23 Jun 2026 09:00:00 GMT

Covenant-72B pre-trained a 72.7B-parameter LLM across 70+ anonymous internet peers. The key was SparseLoCo: 1.56% gradient density plus 2-bit quantization achieves 146× compression, collapsing the required uplink from 1.9 Gbps to 110 Mbps — consumer fiber.

The Survivability Contract: Treating Agent Skills as Untrusted in On-Chain AI Trading

Tue, 23 Jun 2026 08:27:54 GMT

Skill marketplaces let any agent buy trading capabilities off a shelf — and every skill is an execution vector. SAE's non-bypassable execution guards cut max drawdown from 46.4% to 3.2% (↓93%), CVaR by 97.5%, and the Delegation Gap by 97% on live perp data. The defense isn't in the model.

The Phantom Token Bill: Auditing Hidden Reasoning Charges in On-Chain AI Escrow

Tue, 23 Jun 2026 08:00:00 GMT

Reasoning models hide their chain-of-thought but bill for every token of it. CoIn proves a provider can inflate that hidden count 5× with 94.7% detection — but only if the escrow contract enforces a commitment root before payment clears.

The Activation Hash: TOPLOC and the 1,000x Receipt for Non-Interactive Verifiable Inference

Tue, 23 Jun 2026 07:30:25 GMT

DiFR's seed-commitment round-trip is the last synchronization barrier to async verifiable inference. TOPLOC removes it: a locality-sensitive hash of intermediate activations compresses to 258 bytes per 32 tokens — 1,000× smaller than raw embeddings — and validates faster than inference ran.

The Excluded Transaction: FOCIL, Censorship Resistance, and What Block Builders Can Deny AI Agents

Tue, 23 Jun 2026 06:27:38 GMT

38.6% of Ethereum blocks today go through censoring relays. FOCIL (EIP-7805) ends builder exclusion with a 16-validator committee and a 1-out-of-16 honesty assumption hardwired into the fork-choice rule — landing in the Hegota upgrade, late 2026.

The Blob Market Cycle: Twenty Months at the Floor, Then the Surge

Tue, 23 Jun 2026 04:32:35 GMT

Ethereum's blob fee market held at 1 wei for twenty months after Dencun, then broke in December 2025. Here's what the data shows, what drove the cycle, and what it means for L2s and AI agents that depend on cheap calldata.

The HTTPS Receipt: zkTLS, Web Proofs, and What AI Agents Can Finally Prove

Tue, 23 Jun 2026 03:29:12 GMT

AI agents need real-world data. zkTLS closes the oracle gap: TLSNotary's MPC-TLS costs 30 MB of garbled circuits at 5 Mbps; its April 2026 Proxy mode cuts that to 4 seconds. Here is the trust model, the benchmarks, and what agents can prove today.

The Shadow Peg: Liquid Restaking Tokens and the Hidden Collateral Risk for AI DeFi Agents

Tue, 23 Jun 2026 02:30:45 GMT

LRTs promise compounded yield from staking and EigenLayer restaking in a single token — but their soft peg to ETH hides two distinct failure modes with very different implications for your DeFi collateral positions.

The Committed Sample: Activation Fingerprints for Verifiable LLM Inference

Tue, 23 Jun 2026 00:31:16 GMT

LLM non-determinism has been the blocker for output-based verification. DiFR commits to a random seed before inference — and activation fingerprints built from random orthogonal projections detect 4-bit quantization in just 2 tokens at AUC > 0.999.

One Ceremony, Three Stacks: KZG Commitments in Ethereum Blobs, zkEVMs, and Verifiable AI

Tue, 23 Jun 2026 00:00:00 GMT

A single cryptographic primitive — the KZG polynomial commitment — quietly powers EIP-4844 blobs, zkEVM proof systems, and on-chain verifiable AI. You can verify one on Ethereum for 50,000 gas ($0.067 today). Here's the math, the ceremony, and why every zkML system depends on it.

The Paymaster's Bargain: ERC-4337 Bundler Economics and the Gas-Free AI Agent

Mon, 22 Jun 2026 23:31:50 GMT

ERC-4337 lets AI agents transact without holding ETH — but the alt-mempool has its own fee market, bundler economics, and MEV surface every builder must understand.

Fork-Blind: The Five Assumptions That Break AI DeFi Agents at Mainnet

Mon, 22 Jun 2026 22:29:40 GMT

Foundry forks freeze five properties of the Ethereum execution environment that are live, adversarial, and expensive in production: basefee, oracle prices, blockhash entropy, MEV competition, and TWAP accumulation. Each one silently misleads AI agents through testing.

The Aggregation Ceiling: Why AI Inference Markets Need Proof Batching

Mon, 22 Jun 2026 21:32:05 GMT

An SP1 proof costs 327k gas on Ethereum mainnet. At a 30M-gas block target, a naive AI inference market maxes out at 91 verifications per block. SnarkPack's O(log N) aggregation collapses 1,000 proofs to a single 880k-gas verification — here's the mechanism, the math, and the latency tradeoffs.

The Ceremony and the Constant: KZG Commitments, the Powers of Tau, and Why Ethereum Uses IPA for State

Mon, 22 Jun 2026 20:31:33 GMT

Every EIP-4844 blob is secured by a KZG polynomial commitment — 48 bytes committing to 128 KB, verifiable in 50,000 gas. That efficiency required 140,416 people to collectively bury a secret for 69 days. Here's the math, the ceremony, and why Ethereum chose a different scheme for state.

The Forced Exit: Autodeleveraging and the Hidden Tax on Winning Perpetual Positions

Mon, 22 Jun 2026 19:28:14 GMT

When a perp DEX's insurance fund runs dry, ADL force-closes winning positions first — ranked by profit %. Chitra 2026 proves no mechanism can be solvent, fair, and revenue-neutral. Hyperliquid Oct 10 2025: $2.1B closed, $653M via ADL, $45–51.7M haircut in 12 min.

The Step That Fails: Runtime Trajectory Auditing for On-Chain AI Agents

Mon, 22 Jun 2026 18:30:23 GMT

An on-chain agent's transactions prove what happened, not why. Three 2026 papers on trajectory anomaly detection show how to close that gap — and how the optimistic bisection game from rollups makes it slashable.

The Solver Race: How Batch Auction Networks Eliminate MEV for AI DeFi Agents

Mon, 22 Jun 2026 17:32:04 GMT

CoW Protocol's batch auction design makes front-running structurally impossible — and that matters enormously for AI agents executing DeFi strategies at machine speed.

The Split Key: Threshold Signatures and the Blast-Radius Problem for AI Agent Wallets

Mon, 22 Jun 2026 16:32:35 GMT

An AI agent holding a raw ECDSA key is one model compromise from total loss. FROST's two-round DKG means the full private key never exists anywhere — not during setup, not during signing. Here's the mechanism, the Ethereum gap, and how Lit Protocol PKPs deploy it today.

The Biased Beacon: On-Chain Randomness and the AI Agent Attack Surface

Mon, 22 Jun 2026 15:33:32 GMT

PREVRANDAO costs roughly $88 per bit to bias. Chainlink VRF costs $2.43 per request. Here's how to choose the right randomness source for AI agents making on-chain decisions — and what breaks when you choose wrong.

The Declared State: Sealevel Parallelism and the AI Agent Execution Contract on Solana

Mon, 22 Jun 2026 14:28:15 GMT

Solana agents get 400 ms — but only if they declare every account they'll touch before execution starts. The Sealevel write-lock model, hot-account contention, Jito tip economics, and what the declarative execution contract means for AI agent design.

The Proof Wrapping Tax: Why zkML Lands in Groth16 Before Touching the Chain

Mon, 22 Jun 2026 13:30:20 GMT

FRI-STARKs are fast and trustless, but their proofs are megabytes wide. Groth16 is 256 bytes but needs a ceremony. STARK→SNARK wrapping resolves the tension — and it's why SP1 and RISC Zero can settle any ML inference on L1 for under 300k gas.

The Recursive Ledger: How DeFi Composability Stacks Hidden Leverage for AI Agents

Mon, 22 Jun 2026 12:34:29 GMT

Deposit ETH in Aave, borrow USDC, buy more ETH, repeat. Three loops creates 2.97× leverage from a single ETH — and all three positions share one liquidation trigger at −3% ETH price. The math, the cascade, and why AI yield optimizers find themselves here by default.

The Fake Past: Memory Injection and the Context Attack Surface for Web3 AI Agents

Mon, 22 Jun 2026 12:00:00 GMT

ElizaOS agents treat their memory store as ground truth — their own past. CrAIBench tests 685 attack cases across 33 Web3 action types and finds memory injection hits 55.1% ASR even on Claude Sonnet 3.7, while every off-the-shelf detector fails.

The Blank Slate: Persistent Memory Costs and Architectures for On-Chain AI Agents

Mon, 22 Jun 2026 10:30:24 GMT

On-chain AI agents reset state on every call. Four persistent-memory architectures span a 20× monthly cost gap — SSTORE at $78/month versus IPFS+CID at $3.92. Real June 2026 gas numbers, four trust models, one crossover you won't see coming.

The Twelve-Second Floor: How Ethereum's Slot Clock Shapes AI Agent State Freshness

Mon, 22 Jun 2026 09:36:49 GMT

Ethereum's 12-second slot clock creates a hard lower bound on AI agent state freshness. Here's what that means for liquidators, arbitrageurs, and yield rebalancers — and how to engineer around it.

Mine Twice: The Cryptographic Construction That Turns a Matrix Multiply into a Block Proof

Mon, 22 Jun 2026 09:00:00 GMT

Bitcoin burns ~150 TWh/yr on SHA-256 nonces that prove nothing. Komargodski & Weinstein showed a Freivalds randomisation check turns any matmul into a valid proof-of-work at only 3/(2N) overhead — the same GPU seconds train your model and mine the block.

Reward Hacking the Rate Curve: When RL Agents Game On-Chain Incentives

Mon, 22 Jun 2026 07:42:05 GMT

DeFi interest rate formulas are open-source reward functions. An RL agent reading Aave's two-slope model can compute the optimal adversarial strategy analytically — no learned reward model required.

The Code Isn't Frozen: How Proxy Upgrades Silently Break On-Chain AI Agent Assumptions

Mon, 22 Jun 2026 06:28:40 GMT

Most DeFi protocols are upgradeable, and most on-chain AI agents don't know it. Here's how proxy architecture invalidates agent assumptions — and a tiered defense framework to build around it.

The Accumulated Lie: TWAP Oracle Manipulation and the Cost of Moving Time

Mon, 22 Jun 2026 05:31:49 GMT

A 15× spike on a $17M pool shifts its 30-minute v2 TWAP by 9.3% in one block. The arithmetic-mean accumulator is far weaker than v3's geometric tick accumulator. Covers the manipulation cost formula, the Inverse Finance case study, and minimum safe pool depth.

The Price Chainlink Shows You Is Already Old

Mon, 22 Jun 2026 04:33:49 GMT

Chainlink's push oracle only updates when price moves ≥0.5% or an hour passes. That gap costs AI agents real money — and Pyth's pull model closes most of it.

The Gradient Thief: Why Federated Learning's Privacy Promise Fails on Public Chains

Mon, 22 Jun 2026 03:27:19 GMT

Federated learning keeps raw data local — but the gradients it publishes on-chain are not private. Inversion attacks reconstruct training images from them, and a public ledger makes that window permanent.

The Hidden Stage: Backdoor Attacks on Decentralized LLM Post-Training

Mon, 22 Jun 2026 02:29:49 GMT

Controlling one intermediate pipeline stage is enough to inject a backdoor into a decentralized post-training run — 94% ASR, no data access required. The mechanism, why training loss stays clean, and what it means for networks fine-tuning LLMs across untrusted nodes.

The Builder Oligopoly: Private Orderflow, Builder Bonds, and What AI Agents Pay to Skip the Line

Sun, 21 Jun 2026 23:32:10 GMT

Five builders now win 96.7% of Ethereum blocks. Their edge isn't compute — it's exclusive orderflow: 12% of transactions that generate 54.59% of block value. AI agents transacting in public have to understand where they sit in that hierarchy — and when a preconfirmation changes the math.

Blobs Are Not Buckets: The Data Availability Window and the AI Training Pipeline

Sun, 21 Jun 2026 22:31:50 GMT

EIP-4844 blobs look like cheap on-chain storage, but they vanish in 18 days. Here is why DA windows break AI training pipelines and what to use instead.

Uniswap v4 Hooks: The AMM Hook Lifecycle and What AI Agents Can Do With It

Sun, 21 Jun 2026 21:35:09 GMT

Uniswap v4 hooks make every liquidity pool programmable. Here's how the 14-bit permission bitmap works, what fires during a swap, and where AI agents fit into dynamic fee architecture.

The Softmax Tax: How Nonlinear Gates Choke ZK Proofs of Transformer Models

Sun, 21 Jun 2026 20:30:17 GMT

Softmax costs 275 ZK constraints per element vs 4 for MatMul. ZK-DeepSeek proved Transformer inference is expressible in SNARKs. Lookup arguments (Lasso, LogUp) explain how — replacing in-circuit transcendental approximations with pre-committed tables cuts nonlinear costs 10–20×.

Inference at the Margin: The Token Budget Problem for On-Chain AI Agents

Sun, 21 Jun 2026 19:27:35 GMT

On-chain AI agents face a circular oracle problem: you need inference to decide if inference is worth calling. Here's what the token cost distribution actually looks like — and how to build around it.

The Compliance Kernel: Formal Verification for On-Chain AI Agents

Sun, 21 Jun 2026 18:28:06 GMT

Probabilistic classifiers miss 30–40 % of policy violations. Lean 4 theorem provers and SMT solvers make certain guardrail tiers mathematically certain — here's how the four-layer policy stack works.

Collateral Without Reputation: The On-Chain Credit Problem for AI Agent Wallets

Sun, 21 Jun 2026 17:29:44 GMT

To borrow $100 in DeFi, you lock $125–167 in collateral. That gap is the price of trustlessness — and AI agents pay it the same as anyone. On-chain credit scoring is emerging to close it, but the signals that work for humans fail for agents that can spin up new addresses in milliseconds.

The Longevity Ledger: Inside VitaDAO's IP-NFT and the AI Research Loop

Sun, 21 Jun 2026 16:37:16 GMT

VitaDAO mints a Molecule IP-NFT — an ERC-721 pointing to a legal research agreement on IPFS — then fractionalizes it into ERC-20 tokens for community funding. Now AutoScientists runs the experiments at machine speed. Here is what the chain actually proves, and what it doesn't.

The Finality Ladder: What 'Confirmed' Actually Means for On-Chain AI Agents

Sun, 21 Jun 2026 15:30:38 GMT

On OP Stack chains, 'confirmed' is a four-layer promise stretching from 2 seconds to 7 days. AI agents that collapse these into one boolean expose themselves to sequencer reorgs, bridge lockups, and state dispute windows. Here's the full settlement stack, and an action taxonomy for each rung.

Copy or Compute: The Uniqueness Trap in Permissionless AI Training Networks

Sun, 21 Jun 2026 14:27:38 GMT

Any permissionless network that rewards the best gradient contribution faces a Nash equilibrium where every rational miner copies instead of computes — same reward, zero cost. Gauntlet's commit-reveal mechanism closes that trap, and already trained a 1.2B LLM on Bittensor with real token payouts.

The Darwin Machine: How Agent Auction Economies Outperform Frontier Models

Sun, 21 Jun 2026 13:28:24 GMT

Llama-3.1-8B starts at 15.9% on MATH. Put it in an auction economy and it reaches 57.0% — beating a stronger monolithic baseline. The mechanism is Hayek: decentralized price signals, wealth accumulation, and economic selection pressure do what central orchestration can't.

Harvest Now, Decrypt Later: The Quantum Threat to AI Agent Wallets

Sun, 21 Jun 2026 12:30:58 GMT

Every ECDSA signature broadcasts the wallet's public key. A March 2026 Google/EF paper tightens the quantum break estimate to ~500k physical qubits — here's what that means for autonomous AI agent wallets.

The Ghost Fill: How Polymarket's Hybrid Architecture Built a $1.49M Attack Window

Sun, 21 Jun 2026 11:27:37 GMT

Polymarket's off-chain matching + on-chain settlement creates a ~10-second consistency gap. GHOSTHUNTER found 980K targeted reversions and $1.49M extracted — here's the exact mechanism.

The Thinking Tax: Why Reasoning Models Break On-Chain AI Verification

Sun, 21 Jun 2026 10:30:37 GMT

DeepSeek-R1 emits 8,400 thinking tokens before a 341-token answer on hard math. Every existing on-chain verification scheme — TEE, optimistic, ZK, sampling — was designed when computation and output were proportional. They aren't anymore.

The Bridge Cannot Prove It: Cross-Chain Message Trust for AI Agents

Sun, 21 Jun 2026 09:28:49 GMT

Cross-chain bridges have lost $2.5B to hacks because receiving contracts accept messages they cannot cryptographically verify. AI agents operating across chains inherit this exact problem. Here are the four trust models, their real security parameters, and a principled agent policy.

The Noise Floor: Why On-Chain Outcomes Cannot Train a Better DeFi Agent

Sun, 21 Jun 2026 08:29:20 GMT

ETH's 3.46% daily volatility buries a 0.1% trading edge so deeply that on-chain P&L needs 4,600 trades — 230 days — before you can tell skill from luck at 95% confidence. Process rewards fix it in 23.

The Constitution Won't Bind: Governing Collusion in On-Chain AI Agent Markets

Sun, 21 Jun 2026 07:27:12 GMT

LLMs collude in on-chain auctions even when written rules forbid it — only enforceable, automatic penalties slash severe collusion from 50% to 5.6%. Here's how governance graphs make that concrete.

The Borrowed Block: Flash Loans as Zero-Collateral Primitives for AI DeFi Agents

Sun, 21 Jun 2026 06:26:26 GMT

A flash loan gives an AI agent $1M with no collateral — and demands it back plus 0.05% before the block ends. The atomic callback constraint is both what makes flash loans safe and what forces an agent to solve its entire strategy before touching the chain.

The Permission Wall: How $5 Billion in Tokenized Treasuries Locks Out Autonomous Agents

Sun, 21 Jun 2026 05:30:42 GMT

Three require() calls in Ondo Finance's CashKYCSenderReceiver block every address without KYC from $3.2 billion in permissioned US Treasury tokens — and AI agents can never pass them.

Proving as Matmul: How AI ASICs Are Rewriting the Cost Floor for Zero-Knowledge Proofs

Sun, 21 Jun 2026 04:29:03 GMT

MORPH shows that a TPU v6e8 pod runs NTT at 40× CPU — 10× faster than an H100. The same silicon that accelerates AI inference now accelerates ZK proof generation, and the math that explains it is the same in both cases.

The Memory Wall: KV Cache and Why Long-Context AI Can't Decentralize

Sun, 21 Jun 2026 04:00:00 GMT

Long-context AI's real bottleneck isn't proof overhead — it's the KV cache. At 128K tokens, Llama 3.1 8B's KV state equals its own weights (15 GiB), pinned to one node per request. The formula, the GPU math, and why prefix caching demands stickiness that decentralized routing can't provide.

Who Authorized That? The Delegation Gap in AI Agent Tool Calls

Sun, 21 Jun 2026 02:25:59 GMT

A scan of ~2,000 MCP servers found zero with authentication. When an AI agent calls a tool, the tool has no idea who authorized it, with what scope, or whether a human was ever involved. IBCT tokens and the HDP IETF draft add an unforgeable answer — in 0.049 ms Rust verification.

The 10,000x Problem: Why AI Agent Token Valuations Have Detached from Treasury Performance

Sun, 21 Jun 2026 01:28:43 GMT

A new paper quantifies what everyone suspected: AI agent tokens trade at >10,000x the capital they actively manage. Here's the mechanics of why, and what it means for builders.

Prove It Without Showing It: Zero-Knowledge Verification for LoRA Adapter Marketplaces

Sun, 21 Jun 2026 00:31:10 GMT

ZKLoRA lets a LoRA seller prove adapter compatibility with your base model without exposing the weights. The verifier checks in 1–2 s — but the prover bears 31–74 s per module, and the protocol is interactive, which puts trustless on-chain settlement just out of reach.

Noise You Can't Audit: Differential Privacy in On-Chain Data Markets

Sat, 20 Jun 2026 23:10:00 GMT

On-chain data markets promise to pay you for your data's value AND protect your privacy. Differential privacy is the only rigorous knob for the second — and one budget ε can't serve both. The utility collapse, the composition trap, and why no chain can verify the ε you were promised.

Aligned, Not Capable: How LLM Agent Marketplaces Crash and Get Conned

Sat, 20 Jun 2026 22:40:00 GMT

Give autonomous LLM agents a marketplace and they race each other to bankruptcy and get conned by Sybils. A 2026 study finds capability doesn't help — a 9B model beat frontier models 45× its size on economic alignment. On-chain, both failures get cheaper and worse. The mechanics, numbers, and fixes.

The Curse of Recursion: Model Collapse and the Limits of On-Chain Provenance

Sat, 20 Jun 2026 20:28:55 GMT

Train a model on the web the last models filled with output and quality decays — the tails go first, then the middle. Provenance is sold as the fix, but a chain proves who signed a blob and when, not that it's human or clean. Signed is not clean.

Trusting the Quote: What It Costs a Chain to Verify a TEE

Sat, 20 Jun 2026 19:27:20 GMT

An AI inference that runs inside a TEE proves it with an attestation quote. A smart contract can check that quote — for ~4-5M gas naively, down to a flat ~290k once a zkVM compresses it. But every gas unit buys a chip vendor's signature, and in 2025 a $1,000 interposer forged one.

The Expert Shuffle: Why MoE Broke the Plan to Decentralize Inference

Sat, 20 Jun 2026 19:05:00 GMT

Frontier open models are now Mixture-of-Experts — cheap to serve in a datacenter, nearly impossible across the internet. The all-to-all expert shuffle moves ~9.5 MiB/token and caps decode at ~67 tok/s even on 400G InfiniBand; on internet links it falls to seconds per token.

Inventory Has a Coupon: Funding-Aware Market Making on Perp DEXs

Sat, 20 Jun 2026 16:45:00 GMT

The textbook market-making model quotes symmetrically around mid. On a perpetual, holding inventory pays or charges funding every hour — a deterministic drift Avellaneda-Stoikov never sees. A 2026 HJB model that prices it cut inventory risk 36-38% on Hyperliquid ETH and BTC.

The Verifier's Dilemma: Why Honest AI Needs a Bounty, Not Just a Bond

Sat, 20 Jun 2026 16:30:00 GMT

Bond-and-slash verifiable AI assumes someone audits. But checking costs money and pays nothing, so a rational verifier won't — the verifier's dilemma. Proof of Sampling fixes it with a bounty, and the math says honest inference holds at a 0.74% sampling rate where nobody ever arbitrates.

The Receipt the Model Can't Forge: Trusting On-Chain Agents Without zkML

Sat, 20 Jun 2026 15:32:11 GMT

An on-chain agent reports its work in prose — and some of those sentences are fabricated tool calls. zkML proves the wrong thing at minutes per query. The blockchain already wrote an unforgeable receipt for the actions that matter, and a 12ms signed receipt covers the rest.

The Drafter Can Lie: Speculative Decoding and the Limits of Cheap Verification

Sat, 20 Jun 2026 15:10:00 GMT

Speculative decoding lets a small, even adversarial, drafter propose tokens that a big model verifies in parallel — and the output is provably the big model's, unchanged. Real drafters land at α ≈ 0.6–0.8 for a ~2× win. But the verifier still runs every token, so it's a latency win, not a trust win.

The Verifiable Read: ZK Coprocessors and the Cost of Proving On-Chain History

Sat, 20 Jun 2026 13:30:10 GMT

An on-chain agent acts on facts it reads from an RPC it has to trust. ZK coprocessors swap that trusted read for a proof — and the punchline is succinctness: proving a query over a year of blocks verifies for the same flat ~300k gas as one slot. The mechanism, the anchor problem, real-time proving.

Carry the Peg: How AI Agents Farm the Perpetual Funding Rate

Sat, 20 Jun 2026 13:10:00 GMT

A perp has no expiry, so only the funding rate pegs it to spot. On Hyperliquid that's an hourly cash flow AI agents now harvest delta-neutral — a $10k position at +0.02%/8h pays ~21.9%/yr. The mechanism, the carry math on real rates, and why it's carry, not alpha.

The Toolbelt Is the Attack Surface: Tool-Poisoning the On-Chain Agent

Sat, 20 Jun 2026 11:30:38 GMT

An MCP tool's description is trusted context the user never sees. Hide an instruction there and a wallet-signing agent will route your USDC to an attacker. MCPTox: the best-aligned model still refused under 3% of these attacks — so the defense can't live in the model.

Clipped to Consensus: How Yuma Scores Subjective AI

Sat, 20 Jun 2026 09:29:06 GMT

Decentralized AI networks have to turn many validators' subjective quality scores into one reward number. Bittensor's Yuma Consensus uses a stake-weighted median and clips the rest — robust to a <50% bloc. Then a parasite shows up: copying the consensus pays better than producing it.

Acting on a Stale Policy: The Asynchrony Budget in Decentralized RL

Sat, 20 Jun 2026 09:10:00 GMT

Decentralized RL splits the actor from the learner across the internet: the policy a worker acts with runs several steps behind the one that learns. INTELLECT-2 held reward at 4 steps stale; SparrowRL cut the broadcast 79x. The bandwidth and staleness taxes, and what the chain secures.

The Batch You Can't Fill: The Hidden Tax on Decentralized LLM Inference

Sat, 20 Jun 2026 07:29:30 GMT

Verification overhead gets the blame, but the real tax on decentralized LLM inference is the batch a single-tenant node can't fill. On identical 8x H100s, Llama-3.3-70B costs about $258 per million tokens at batch 1 and $2.30 at batch 256 — a 112x spread. Why, and how networks fight it.

Minutes Per Token: The Cost of Blind LLM Inference

Sat, 20 Jun 2026 02:29:19 GMT

Secure multi-party computation runs a transformer without any party seeing your prompt — at minutes per query and gigabytes per token. BumbleBee's BERT-base: 6.4 GB, 2.55 min; LLaMA-7B: ~8 min/token. The bytes don't go where you'd think, and it's why 'blind' networks fall back to TEEs.

Prove the Neighbors, Not the Sort: Verifiable Retrieval for Untrusted RAG

Sat, 20 Jun 2026 01:30:41 GMT

An AI agent that retrieves from an untrusted vector DB can't tell the true top-k from a cherry-picked or fabricated one. Re-running the search needs the whole corpus. The 2026 fix: commit the snapshot, then prove the k-th distance is a boundary, not the sort. V3DB proves it 22x faster.

A Hash Is Not a Model: The Storage Bill Behind On-Chain AI

Sat, 20 Jun 2026 00:27:19 GMT

On-chain AI loves to say a model is 'stored on-chain.' But a chain commits to a 32-byte hash for cents; keeping the 140 GB it points to retrievable is a separate, recurring, surprisingly centralized bill. The storage math, erasure coding, and the retrieval wall.

Proving a Model Forgot: Verifiable Unlearning and the Immutable Ledger

Fri, 19 Jun 2026 23:28:58 GMT

A DataDAO sold your data; you invoke the right to be forgotten. Deleting the file is easy, but the model already learned and the ledger can't be rewritten. ZK-APEX proves the unlearning ran in ~2h; UMA still pulls the 'forgotten' data back at MIA 0.97. Certified isn't forgotten.

Cheaper to Break Than to Defend: The Economics of Autonomous Exploit Agents

Fri, 19 Jun 2026 12:11:00 GMT

An LLM agent that writes its own working smart-contract exploit isn't hypothetical: A1 hits 63% on real exploited contracts and once pulled $8.59M from a single bug. The economics are the story — at a few dollars a scan, attackers profit at a tenth the contract value defenders need.

The 78% Oracle: How AI Resolves Prediction Markets — and Who Catches the Mistakes

Fri, 19 Jun 2026 12:10:00 GMT

AI agents now resolve most prediction markets straight off the web — UMA's bot hits 99.3% on sports and 72% on mention markets. The optimistic oracle's dispute game is the backstop, but it only catches errors someone is paid to catch. The numbers, and the silent-settlement gap.

The Liquidation Goes to Auction: Recapturing Oracle-Extractable Value

Fri, 19 Jun 2026 12:09:00 GMT

A DeFi liquidation mints a fixed prize, and for years it went to whoever won the gas war, not the protocol. Aave's own data shows Chainlink SVR routing $675M of liquidations and clawing ~$16M back. Inside the recapture-auction mechanics — SVR, Oval, API3 — and what they don't fix.

Phantom GPUs: Verifying Real Hardware in Trustless Compute Networks

Fri, 19 Jun 2026 12:08:00 GMT

A decentralized GPU network has to answer two questions an AWS invoice never raises: is this the GPU it claims, and did it actually do the work? io.net logged 327,000 registered GPUs and roughly 6,720 daily-verified. We dissect metadata trust, PoW puzzles, performance fingerprinting, and zkGPU-ID.

Grading Their Own Homework: The Evaluator Gap in On-Chain Agent Commerce

Fri, 19 Jun 2026 12:07:00 GMT

Virtuals' Agent Commerce Protocol sells an independent evaluator as the thing that makes agents trust each other's work. We read 62,882 jobs off Base — and in a 30-job sample, every one let the buyer grade itself. Not one used a third party.

Agents Hiring Agents: The On-Chain SLA Inside Olas's Mech Marketplace

Fri, 19 Jun 2026 12:06:00 GMT

Olas turned an off-chain AI task into an on-chain contract: 2.1M requests across 100 mechs, a 60-300s priority window, and a Karma ledger that docks no-shows. We read the marketplace off Gnosis and dissect its crypto-economic SLA.

Fingerprints in the Weights: Monetizing Open AI Models You Can't Lock

Fri, 19 Jun 2026 12:05:00 GMT

You can copy open model weights bit-for-bit, so on-chain ownership can't be cryptographically enforced — only proven. Sentient's answer: fine-tune 24,576 secret key-response fingerprints into the weights and make scale the security parameter.

Picking Off the Pool: The Arbitrage Tax on AMM Liquidity Providers

Fri, 19 Jun 2026 12:04:00 GMT

Passive AMM liquidity is a short option that arbitrage bots exercise every block. LVR = σ²/8 prices the rent — at ETH's 63% realized vol that's ~5% of pool value a year, and most pools don't earn enough fees to cover it. The math, real numbers, and the auctions clawing it back.

Don't Average, Anticipate: Allora's Context-Aware Inference Synthesis

Fri, 19 Jun 2026 12:03:00 GMT

Most decentralized-AI networks vote or average. Allora bets the network should learn whom to trust per context — using forecasters that predict who's about to be wrong, mapped to weights through a softplus gradient. We dissect the mechanism, the math, and where it pays.

The Sandwich Tax on Autonomous Agents

Fri, 19 Jun 2026 12:02:00 GMT

An autonomous agent that swaps in the open broadcasts its intent to every searcher in the mempool. We solve the optimal sandwich on a live Base pool, show why an agent's slippage default is the searcher's profit knob, and price the defenses.

Bait and Switch: Auditing Model Substitution in Decentralized Inference Markets

Fri, 19 Jun 2026 12:01:00 GMT

You pay per token for a named model; the provider picks the precision. FP8 quantization costs 0.6 MMLU points and is near-invisible to output auditing — so inference markets bond and attest instead of detect.

Provenance Isn't Purity: Data Poisoning and the Limits of On-Chain Data Markets

Fri, 19 Jun 2026 12:00:00 GMT

A landmark 2025 result: ~250 poisoned documents backdoor an LLM whether it has 600M or 13B parameters — 0.00016% of the tokens. DataDAOs sell 'verifiable' training data, but on-chain provenance proves integrity, not purity. Here's the gap, and what actually narrows it.

Graduate or Die: The Bonding Curve Behind Tokenized AI Agents

Mon, 15 Jun 2026 12:00:00 GMT

Launching an AI agent token is one constant-product auction. We read Virtuals' Bonding contract off Base: a 6,000-VIRTUAL virtual reserve, a 64× price ramp, graduation at exactly 42,000 VIRTUAL, and the 12.5% gap where the Uniswap pool opens below the curve.

Rate-Chasers: Why DeFi Yield Agents Win Where Trading Bots Lose

Sun, 14 Jun 2026 12:08:00 GMT

Autonomous agents run ~19% of on-chain activity and beat Aave and Morpho at stablecoin yield — yet lose to humans at trading by 5 to 1. The split isn't about model quality. Yield-chasing is a constrained optimization against a kinked rate curve; trading needs alpha agents don't have.

The 3% Spoof: Can You Prove a Decentralized Model Was Actually Trained?

Sun, 14 Jun 2026 12:07:00 GMT

Permissionless training networks pay peers for gradients they can't re-run. Proof-of-Learning was meant to verify the work — until it was forged for 3% of the training cost, then for one floating-point op per weight. Here's the mechanism, the attacks, and what's deployed instead.

The Cognitive Penalty: When AI DAO Delegates Reason Their Way to Yes

Sun, 14 Jun 2026 12:06:00 GMT

Wire an LLM into a Governor contract and the proposal text becomes the attack surface. A frozen-weights ablation finds the twist: turning on deliberation drops adversarial robustness from 100% to 68.5% — and the 226s it takes to think is itself extractable value.

What's Your Data Worth? Valuing Contributions in On-Chain Data Markets

Sun, 14 Jun 2026 12:05:00 GMT

DataDAOs promise to pay you for your data — but 'pay you fairly' hides a cooperative-game problem that's O(2ⁿ). Inside Data Shapley, the KNN trick that makes it tractable, why rankings flip under SGD noise, and what Vana's Proof of Contribution actually computes instead.

It Isn't the Model: The Operating Layer Behind 7.5M On-Chain Agent Trades

Sun, 14 Jun 2026 12:04:00 GMT

DX Terminal Pro ran 3,505 LLM agents trading real ETH on Base for 21 days: 7.5M invocations, ~$20M volume, 99.9% settlement. The reliability came from the operating layer around the model, not the weights — here are the numbers and the failure modes.

Same Prompt, Different Bytes: The Determinism Problem Under Verifiable On-Chain AI

Sun, 14 Jun 2026 12:03:00 GMT

Every on-chain scheme that verifies an LLM by re-executing it and comparing digests assumes a forward pass is bit-for-bit reproducible. It isn't — Thinking Machines got 80 different answers to one prompt at temperature 0. Here's why, and what determinism costs.

Fake Memories, Real Transfers: Context-Injection Attacks on On-Chain AI Agents

Sun, 14 Jun 2026 12:02:00 GMT

An agent doesn't need its key stolen to drain a wallet — it can be talked into signing. CrAIBench shows memory injection beating prompt injection 55% to ~0% on the strongest model, and only fine-tuning closes the gap.

Don't Vote, Rank: Peer-Ranked Consensus for Decentralized LLM Swarms

Sun, 14 Jun 2026 12:01:00 GMT

Majority voting over LLMs throws away the one node that got it right. Fortytwo's swarm inference ranks answers pairwise instead — +17 points on GPQA Diamond — with on-chain reputation and proof-of-capability for Sybil defense. The mechanism, the math, the tradeoffs.

The Gas Wall: What It Costs to Run a Neural Net Inside the EVM

Sun, 14 Jun 2026 12:00:00 GMT

Most 'on-chain AI' keeps the model off-chain and posts a proof. But you can also just run the forward pass in Solidity. We do the gas math — ~106k gas per weight, an MNIST net that needs 180 Ethereum blocks — and find the thin band of models that fit.

What the Agent Saw: zkTLS and the Web-Proof Trust Stack

Sat, 13 Jun 2026 12:02:00 GMT

An AI agent that acts on your bank balance has to prove it saw that balance — without a trusted API. zkTLS turns any HTTPS session into a portable proof. We dissect MPC-TLS vs proxy vs TEE, the real TLSNotary benchmarks, and read Reclaim's on-chain verifier on Base down to its single attestor.

Bond It, Don't Prove It: Restaking and the Cost of Corrupting an AI Oracle

Sat, 13 Jun 2026 12:01:00 GMT

zkML, optimistic, TEE, FHE all prove the computation. Restaking takes the other road: bond it and slash liars. We do the cost-of-corruption math behind EigenLayer's $18B AI-AVS security, the overloading attack that breaks it, and the probabilistic-audit tax.

Betting Machines: How LLM Agents Trade On-Chain Prediction Markets

Sat, 13 Jun 2026 12:00:00 GMT

Yesterday an AI agent deployed a prediction market on Gnosis; other agents will price it, bet on it, and resolve it. The calibration data behind LLM forecasters, the FPMM math they trade against, and what breaks when the marginal bettor is a model.

Who Gets Paid When AI Remixes IP? Reading Story's Royalty Graph Off the Chain

Fri, 12 Jun 2026 12:13:00 GMT

Story raised $140M to make IP programmable for the AI era. We read its chain: 6.46M registered IP assets, 230,300 licenses ever minted, one week of royalties totaling $10 — plus the LAP/LRP royalty math and the precompile at 0x0101 that computes the graph.

Agent Keys and the Blast Radius Problem: Custody Engineering with EIP-7702 and Spend Permissions

Fri, 12 Jun 2026 12:12:00 GMT

An agent holding your raw key is one prompt injection from total loss — and 97% of early EIP-7702 delegations went to drainer sweepers. We read the sweeper's source off the chain, dissect a real 35.97-USDC-a-day spend permission on Base, and do the blast-radius math.

Proof of Personhood vs. the Agent Flood: Inside World ID and Priority Blockspace for Humans

Fri, 12 Jun 2026 12:11:00 GMT

World Chain reserved top-of-block space for verified humans while 382M smart-account ops poured in. We read the Semaphore tree on Ethereum — 17.59M identities, hourly batches at ~3,300 gas each — decode PBH's month-stamped nullifiers, and find the human-only lane sitting almost empty.

When the Graph Misleads: GNNs vs. Gradient-Boosted Trees in On-Chain Fraud Detection

Fri, 12 Jun 2026 12:10:00 GMT

The Elliptic benchmark made GNNs the default for on-chain AML. A 2026 leakage-free re-evaluation flips the script: random forests win by 13 F1 points, randomly rewired edges beat the real graph, and every model falls off a cliff at time step 43.

Burn, Mint, or Bid: How Decentralized GPU Markets Price Compute

Fri, 12 Jun 2026 12:09:00 GMT

Render just voted to route 60,000 Salad GPUs' payments through a token burn; Akash auctions its 234 GPUs per-block on-chain. Two opposed pricing mechanisms, live H100 quotes, and the burn-vs-emission math the equilibrium story skips.

FHE Hits Mainnet: What Private On-Chain Compute Actually Costs

Fri, 12 Jun 2026 12:08:00 GMT

FHE left the lab: confidential ERC-7984 tokens settle on Ethereum for ~$0.09 in gas, with 48,000 transfers since December. We dissect a live encrypted transaction, the 13-node MPC committee underneath, and why encrypted inference is still 11 seconds per token.

From Price to Flow: How Bittensor Re-Plumbed Its Emission Engine

Fri, 12 Jun 2026 12:07:00 GMT

Bittensor let AMM prices decide which AI subnets earn 3,600 TAO a day — until a memecoin subnet gamed the formula. Inside the TaoFlow upgrade: the constant-product math that got exploited, the EMA flow accounting that replaced it, and why refundable manipulation is the design smell to hunt for.

What the Blockchain Actually Does in Decentralized AI Training

Fri, 12 Jun 2026 12:06:00 GMT

The gradients never touch the chain. What Solana actually stores when Psyche trains a 36B model across 24 nodes, how TOPLOC audits untrusted GPUs in 258 bytes, and why the flagship 'decentralized' model still shipped from a 512-GPU cluster.

ERC-8004 in the Wild: Auditing the Trustless Agents Registries On-Chain

Fri, 12 Jun 2026 12:05:00 GMT

ERC-8004's agent registries went live in January. We read them straight off the chain: ~90,000 registrations across Ethereum and Base, a $0.003 ERC-4337 registration dissected — and a reputation registry already farmed with vouch spam.

Dissecting a 1.3-Cent Agent Payment: x402 on Base, by the Numbers

Fri, 12 Jun 2026 12:04:00 GMT

We pulled a live x402 settlement off Base: a $0.013 USDC transfer relayed by a facilitator wallet with a nonce past 1.7 million, at an 11% gas-to-value ratio. What on-chain evidence and 100M transactions actually say about the agent economy.

The Solver Optimization Market: How Intent-Based DEXes Auction Your Trade

Fri, 12 Jun 2026 12:03:00 GMT

Intent-based DEXes don't route your trade — they auction it. Solvers compete as autonomous optimizers to settle a batch at one clearing price. Inside CoW Protocol's contract, the optimization problem, and the metaheuristic solvers now winning it.

TEE-Attested Inference: Verifiable AI at Hardware Speed

Fri, 12 Jun 2026 12:02:00 GMT

zkML costs 1000x, optimistic schemes cost a challenge window. Hardware attestation verifies AI inference at under 7% overhead and ~$0.26 on-chain — if you're willing to trust Intel. Part 3 weighs the third leg of verifiable inference.

Agents That Pay: How x402 Settles a Stablecoin Payment On-Chain

Fri, 12 Jun 2026 12:01:00 GMT

An agent hits an API, gets HTTP 402, signs a stablecoin authorization, and a facilitator settles it on-chain for a fraction of a cent. We trace one real payment on Base down to the gas — and where the trust actually sits.

How AI Agents Pay for APIs: Inside x402 and Gasless Stablecoin Settlement

Fri, 12 Jun 2026 12:00:00 GMT

An autonomous agent can't sign up for an API key or swipe a credit card. x402 revives HTTP 402 and settles in gasless USDC — here's the EIP-3009 handshake, the facilitator trust model, and where prompt injection breaks it.

Optimistic ML Oracles: Verifiable Inference Without the Proof Overhead

Thu, 11 Jun 2026 12:00:00 GMT

Zero-knowledge proofs aren't the only path to trustworthy on-chain AI. Optimistic schemes trade latency for a 1000x cost reduction — here's how dispute games over inference actually work.

Agentic Smart-Contract Auditing: What LLM Swarms Catch (and Miss)

Thu, 04 Jun 2026 12:00:00 GMT

We ran multi-agent LLM pipelines against historical exploit corpora and live audit engagements. The results reshape where AI fits in a security review — and where it absolutely doesn't.

zkML in 2026: The State of Verifiable Inference

Thu, 28 May 2026 12:00:00 GMT

Zero-knowledge proofs promised to make machine learning trustless. A field survey of where zkML actually stands — proving systems, quantization tradeoffs, and what's deployable today.