Trinity Morphy

Venturing into something new. Let's see where that takes us.

[Trinity Morphy @TrinityMorphy]

@Grey90126677 @oyinkanbadejo Khan Academy (free) - https://t.co/9fUZNrFURw

MathAcademy (paid, but is more rigorous and customised) -https://t.co/YNwXH4I4Br

[Trinity Morphy @TrinityMorphy]

@enyinna_ Considered legal processes early on. But after some thinking, I decided to let it be. With God and time on my side, I'll definitely run it back up.

[Trinity Morphy @TrinityMorphy]

@ebubethecyborg Congratulations Dr. PeeJay

[Trinity Morphy @TrinityMorphy]

@_ayo_sucre @the_akinola 😂

[Trinity Morphy @TrinityMorphy]

@OshatimiDavid Unrelated but learnt about CDS yesterday after watching Big Short for the first time. 😄

[Trinity Morphy @TrinityMorphy]

@_ayo_sucre @the_akinola Definitely, my statement is just comic relief 😄

[Trinity Morphy @TrinityMorphy]

11 months since my last post. A lot has changed. Glad to be back.

[Trinity Morphy @TrinityMorphy]

@oyinkanbadejo At this recurring weekend hangout called The Circle, everybody knows my default answer to any societal problem is a varied form "oh yeah, wrong incentives". Might be a dogmatic stand, but I strongly believe incentives drive everything; the good, bad, and ugly.

[Trinity Morphy @TrinityMorphy]

@MADEPADIO @enyinna_ @_MathAcademy_

[Trinity Morphy @TrinityMorphy]

@Johannxs @NgComCommission @Dr_AminuMaida @michalis

[CARBON Copy ReFi @CC_ReFi_News]

Effective Public Goods Funding (PGF) suffers from high evaluation costs.

On average, assessing a round costs 10% of the total funding pool; the actual figure scales upward with the size of the round’s pool. This overhead directly diverts capital away from the participants who need it most.

Our research, proposed for @Artizen Fund Season 6, aims to reclaim these resources by answering three critical questions:

Cost Efficiency: To what extent can LLM evaluators reduce the overhead of human-led processes?

Collective Intelligence: Can we implement the Wisdom of the Crowd theory into this LLM evaluation framework to achieve superior crowd evaluation intelligence?

Accuracy: How do LLM evaluations perform relative to human benchmarks in subjective contexts?

Our goal is simple: minimize the cost of distribution to maximize the impact of the capital.

And we would really appreciate your support for the Artizen Fund by purchasing our research artifact here:

https://t.co/PgUPQhbgrV

Thank you 🙏

[Trinity Morphy @TrinityMorphy]

@SanjayNadaraja @Feoramund I agree 100%. Math Academy is scarily effective.

[Trinity Morphy @TrinityMorphy]

@JKim_Tran @_MathAcademy_ I love the fact that you can't take a course without prerequisite knowledge. For every course you want to embark on, they test your prerequisite knowledge and offer lessons to strengthen your foundation. This way, you don't experience learning gaps while taking the course.

[Trinity Morphy @TrinityMorphy]

@governingweb3 In line with option 2, I recently submitted a research prop to @Artizen season six to see how LLMs might play the evaluator role in PGF rounds.

It's a black box worth exploring.

https://t.co/NRJILc9TOP

[Trinity Morphy @TrinityMorphy]

@governingweb3 My take is that;
1. Human evaluators have flaws.
2. We need to sufficiently explore AI evaluators and their flaws.
3. The Human+AI option where we combine the strengths of both evaluator types and minimise their flaws will yield more optimal evaluation scenarios.

[Greenpill Dev Guild @greenpilldevs]

We love public goods

We love @ethereum

So why not build a Public Goods Staking Protocol.
🌍⚙️✨

https://t.co/fAiS8aUqMI

Powered by @LidoFinance @dappnode @Obol_Collective @OctantApp 💪

[Trinity Morphy @TrinityMorphy]

@spark_sciences https://t.co/NRJILc9TOP

Link to our research proposal.