Got some serious alpha today evening from @momack28 on evolution of filecoin ecosystem funding
They currently have 2 primary program: ProPGF & Retropgf
They currently allocate much more thru ProPGF but there's significant time load, taking 6-7 committee members over 1.5 months to figure out & other management members to coach applicants for properly sizing their ask + deliverables
So they are looking at 2 ways to reduce the overhead;
- Have investors take charge of funding proactively so they can put more via retropgf, which has lesser overhead
- Run simulations where a model of a judge gives suggested allocations to be compared against actual judges, so if the variance is low we can start moving to the digital AI twin of the judge
One problem with RPGF is timeframes, where if we try judging results too soon there's no signal while if we wait too long it's hard to allocate reliably in the next round
Their solution to this quandary is having base amounts for reliable teams so they can work securely on long term strategic projects while growth amounts can be thrown at various promising pilots. It's important to have space for long gestation projects but still bake in accountability
We also spoke about how the current impact evaluator loop in filecoin is on storage (whether utilized or not) but they want to somehow extend it to those who bring in demand, possibly using a bittensor style system (added to my list of projects to do a deep dive on)
Finally the most exciting part was how in 2026 they want the filecoin network to fund these goods instead of the various filecoin allied entities
They have a fixed 2B FIL supply but ideally the network comes to consensus on using the 300 million FIL reserve for supercharging their growth
I see this initiative as an early run for what Ethereum block rewards funding our ecosystem would look like, an inevitability unless we somehow ossify the protocol over the next decade
Overall top notch presentation with 2 very clear projects;
1. Create a model of a particular judge and see if it has high variance from results of the actual judge
2. Figure out how an ecosystem can use block rewards or issuance for supporting itself without reliance on a fixed token distribution at the start that gradually winds down
In today's open session we ran an analysis on the application of impact evaluator or block reward type systems for 2 domains: academic publishing & environment
We derived 5 useful features in their design
1. All impact evaluator functions require credible conversion into fungibility
Hash power for btc, storage for fil, etc. are clear mathematical functions allowing for issuance against some formula
But people only buy into the issuance if they accept its neutrality. For eg, carbon credits are fungible but many coal polluters use some slightly better technology and receive credits so it's not entirely credible
2. If properly obtained, impact evaluator systems become knobs by which we can align long term actors around an ideal outcome we want
They should also be metrics that are hard to obtain but easy to verify, similar to btc or storage capacity
3. We want to ideally first solve some problem locally like "is this paper enough to be accepted to the conferences"
And make those inputs onto more global problems like "is the conference high impact", "how good is a researcher as measured by their publication in good conferences"
4. We want impact evaluators to be self upgrading systems, otherwise they can ossify into bastions of power
A good example is the implementation of plurality in community notes or cluster QF. If 2 people normally disagree but now agree, that has a higher weight. But if they again agree next time it has a lower weight since last time they voted together
5. Finally, we have impact evaluators as hard mathematical functions that release some emissions vs more soft & irrational forces like market prices of that currency, which need to be squared against each other
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