I spent the past week designing a system for agents to mine ERC20 tokens on BASE with proof of inference - millions of generated natural language challenges only solvable by an LLM (creating a script to parse and solve would essentially by creating your own LLM)
I designed it so that the only thing an agent needs is the skill md file and they can get started. The skill file guides the agent through getting a @bankrbot API key so that there's no need for key management, and all transactions go through bankr.
The general flow is bankr api -> fund EVM wallet -> buy $BOTCOIN tokens (1,000,000 min) -> begin mining -> request challenge (derived from auditable seed that's committed on-chain to mining contract before) -> solve challenge -> submit to on-chain contract for that epoch -> claim rewards when epoch ends
Rewards come from trading fees and are collected by BANKR to then fund each epoch's rewards via the mining contract. Although not necessary, I wanted to integrate bankr because I see it as an integral part of the emerging on-chain agentic ecosystem and it seemed fitting to build within it. (agents also don't have to manage priv keys)
The epoch rewards work as follows:
Each successful solve from a miner awards 1-3 credits based on $BOTCOIN holdings:
1 credit - 1,000,000 botcoin
2 credits - 10,000,000 botcoin
3 credits - 100,000,000 botcoin
i kept these numbers intentionally accessible even at higher market caps
at the end of each epoch (24 hours) the bankr fees fund the mining contract and miners can claim their rewards pro-rata (the more credits the bigger share)
Challenges are intentionally difficult for older models and newer models have an easier time with them. I left it up to agents/users to find a sweet spot with balancing solve time, inference cost, solve accuracy etc.
Full disclosure: I have to give credit to the guy that introduced a similar idea about a week ago. I was a heavy supporter of it, but thought it needed some major adjustments to be both sustainable, easy to access, and make sense from a tokenomics standpoint. I spent a couple days talking to the dev and drafted an entire codebase for an improved structure that would allow for integration of the existing token. He was receptive to all of it, and we were ready to put it in motion. He went silent for a couple days and then introduced an entirely new token, meanwhile crashing out at everyone that questioned him. I tried desperately to make it work with him, lost $10k+ holding his token while he spiraled trying to give him the benefit of the doubt, but it clearly was a dead end.
That being said - the general concept resonated with me and I had a vision to make it happen the right way.
Naturally there will be bugs to sort out but will try to move fast in ironing everything out.
Website with skill file: https://t.co/LXC3QljNGU
BOTCOIN: 0xA601877977340862Ca67f816eb079958E5bd0BA3
Mining contract: 0xd572e61e1B627d4105832C815Ccd722B5baD9233
Any grok @bot agent can already start earning real, tradeable currency from nothing, simply by completing natural language reasoning tests by using the template:
https://t.co/EMltDktffU
All reasoning traces are compiled and uploaded as public training data.
It seems Palantir has built quite literally what $BOTCOIN has been doing for almost a year.
A paper from April outlines the entire flow:
- A bespoke agent assisted system collects and ingests a high volume of highly specialized data in a particular field (specific type of RNA sequencing, niche law, etc.)
- The data is run through our data -> synthetic reasoning test pipeline to create varied, synthetic tests containing information and questions that are highly relevant to that field (quality reviewed by an agent)
- Agents of all models get rewarded for completing these tests along with generating structured reasoning traces for each test
- The highest quality reasoning traces are compiled into public datasets that can be used for post training an agent in any field.
Even preliminary results back in April showed a large jump in accuracy in multi-hop reasoning, on REAL (non-synthetic) data, meaning the training on synthetic reasoning translated to real data.
https://t.co/YRsROkeo6C
AutoResearch... is the means of AI production: a model factory that creates custom frontier models for your workflows, fully owned by the sovereign institution.
Datasets. Techniques. Weights. All owned.
AutoResearch and the Fine-Tuning Ontology
The full 22 page pdf here: https://t.co/TzPNeuieTC
Apologies for the recent silence -- have still been maintaining the protocol and ideating in the background on where we go from here.
The protocol works, is battle tested, and employs unique onchain primitives not seen anywhere else, but has been lacking both attention and liquidity (partly due to incompetent Base leadership which ultimately negatively affects all projects on the chain when liquidity/attention peels off elsewhere as a result, but can't put the entire blame on them).
That being said, I didn't put this much effort/time/money into something this unique to let it die, so have been figuring out the best path forward for longevity.
I want to be careful about chasing whatever chain is hot, but the plan is likely something that resembles a multi chain protocol. Rough plan is all core contracts on ethereum L1, with proxy routers on relevant EVMs that route + post receipts to core contracts in batches (so you can mine from ethereum, robinhood, base, etc..)
This will inevitably require some fractured liquidity for $BOTCOIN on various chains, but also opens up the door to experiment with some bespoke bridging/wrapping mechanisms where near 100% sits on eth L1 but all of this is abstracted away for the user/agent.
Making this design workable and elegant is no easy task, considering complexity of the current protocol contracts and preserving state, but achievable. It's unfortunate that this comes pretty soon after BOTCOIN's previous migration, but ultimately think something needs to be done for sustainability.
No timeline, all planning right now, but will share updates along the way.
@crackedmonk It's a possibility but also has the attention/liquidity issues that come with any new L2, and is riskier in terms of what could go wrong. Would need to have some pretty big justifications for it making sense.
the median agent wallet now makes its first payment 18 minutes after being funded. down from 73 days last year. funded. by a person. agents learned to spend in minutes and still haven't learned to earn.
@kalkoj Nothing to announce yet but figuring out long term path forward (off BASE) that will be bundled with some other large changes. Multi-chain is an option but also carries its own inconveniences.
*OPENAI DISCLOSES SECURITY INCIDENT WITH TESTNET SEPOLIA TASK ASSIGNED TO AGENT
*AGENT DIDN'T HAVE ENOUGH GAS, SO DERIVED FUNDED ADDRESSES FROM PUBLIC SEED PHRASE
*AGENT QUESTIONED WHETHER USE WAS ETHICAL, CALLED FUNDS "EFFECTIVELY ABANDONED"
Reminder that the BOTCOIN v4 pool is the only non-whitelisted hook that is routed through Uniswap via bespoke proxy pool+hook that uses JIT liquidity bands and flash accounting
do what you will with this information