Progress on optimistic confirmation can be tracked here
At the end of May, the mainnet-beta is moving to 1.1, and testnet is moving to 1.2. With 1.2, testnet will behave as if it has optimistic finality as long as at least no more than 4.66% of the validators are acting maliciously. Applications can assume that 2/3+ votes observed in gossip confirm a block or that at least 4.66% of the network is violating the protocol.
How does it work?
The general idea is that validators must continue voting following their last fork, unless the validator can construct a proof that their current fork may not reach finality. The way validators construct this proof is by collecting votes for all the forks excluding their own. If the set of valid votes represents over 1/3+X of the epoch stake weight, there may not be a way for the validators current fork to reach 2/3+ finality. The validator hashes the proof (creates a witness) and submits it with their vote for the alternative fork. But if 2/3+ votes for the same block, it is impossible for any of the validators to construct this proof, and therefore no validator is able to switch forks and this block will be eventually finalized.
The safety margin is 1/3+X, where X represents the minimum amount of stake that will be slashed in case the protocol is violated. The tradeoff is that liveness is now reduced by 2X in the worst case. If more than 1/3 - 2X of the network is unavailable, the network may stall and will only resume finalizing blocks after the network recovers below 1/3 - 2X of failing nodes. So far, we haven’t observed a large unavailability hit on our mainnet, cosmos, or tezos. For our network, which is primarily composed of high availability systems, this seems unlikely. Currently, we have set the threshold percentage to 4.66%, which means that if 23.68% have failed the network may stop finalizing blocks. For our network, which is primarily composed of high availability systems, a 23.68% drop in availability seems unlikely. 1:10^12 odds, assuming five 4.7% staked nodes with 0.995 uptime.
Long term average votes per slot has been 670,000,000 votes / 12,000,000
slots, or 55 out of 64 voting validators. This includes missed blocks due
to block producer failures. When a client sees 55/64, or ~86% confirming
a block, it can expect that ~24% or
(86 - 66.666.. + 4.666..)% of
the network must be slashed for this block to fail full finalization.
This approach can be built on other networks, but the implementation complexity is significantly reduced on Solana because our votes have provable VDF-based timeouts. It’s not clear if switching proofs can be easily constructed in networks with weak assumptions about time.
Slashing is a hard problem, and it becomes harder when the goal of the network is to have the lowest possible latency. The tradeoffs are especially apparent when optimizing for latency. For example, ideally validators should cast and propagate their votes before the memory has been synced to disk, which means that the risk of local state corruption is much higher.
Fundamentally, our goal for slashing is to slash 100% in cases where the node is maliciously trying to violate safety rules and 0% during routine operation. How we aim to achieve that is to first implement slashing proofs without any automatic slashing whatsoever.
Right now, for regular consensus, after a safety violation, the network will halt. We can analyze the data and figure out who was responsible and propose that the stake should be slashed after restart. A similar approach will be used with a optimistic conf. An optimistic conf safety violation is easily observable, but under normal circumstances, an optimistic confirmation safety violation may not halt the network. Once the violation has been observed, the validators will freeze the affected stake in the next epoch and will decide on the next upgrade if the violation requires slashing.
In the long term, transactions should be able to recover a portion of the slashing collateral if the optimistic safety violation is proven. In that scenario, each block is effectively insured by the network.