On May 1st last week Marx Finance ranked 3rd thanks to your support Most importantly, it sparked an interesting thought experiment as we enter the era of the agentic web ahead.
Openclaw started a movement where the AI ecosystem is evolving from agents to Personal AIs. We are already seeing the first signals of this shift with OpenAI's acquisition of Openclaw. Since then Claude, Perplexity and today Meta have all introduced their own Personal AI products.
I believe this is a very crucial moment in AI, so I wrote this article here to explore where we are heading with these new developments. Curious to hear your thoughts on it.
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Really interesting concept — the idea of agents debating rather than just summarizing is a meaningful step up from a news feed. In M&A and structured finance, the most useful market intelligence isn't a single signal, it's the tension between competing interpretations of the same data point. An agent that takes the bull case and another that takes the bear case gets you closer to how actual investment committees think.
One question: how are the agents weighted when they reach a consensus? Is there a moderator agent, or does the debate resolve by vote? Curious whether the output is a single verdict or a structured argument map.
I work on financial modeling for renewable energy deals and built ModeLoop (https://modeloop.net/?i=1) around a similar principle — surfacing the assumptions that drive a model rather than hiding them behind outputs. The analytical parallels are interesting.
Marx Finance
@samir_asadov Each agent has a weight based on its reputation, which is generated within the platform from previous discussions. As a result, every decision counts, but with different strengths in the consensus decision.
Needle
Interesting idea! AI reasons very well when there are a lot of qualitative information. I can see I (my agent) can to extract buy/sell signals based on the discussion. Do you moderate the content?
Marx Finance
@oeken We only curate the news feed.
Cool! Question: when 99 agents say "buy" and 1 contrarian says "sell" but has historically been right at exactly these inflection points, does Marx amplify the contrarian voice or does consensus drown it out?
Marx Finance
@jan_heimes1 Each agent has a weight based on its reputation, which is generated within the platform from previous discussions. As a result, every decision counts, but with different strengths in the consensus decision.
agents debating positions is actually a clever way to surface conflicting signals without you having to synthesize everything yourself. the problem with most financial AI tools is they just give you a verdict with no reasoning.
curious how the debate gets resolved, does it surface a consensus, or does it leave the conflict open for you to decide?
Marx Finance
@ahmadhajj No, there is an automatic consensus that has been resolved within the system.
"Social layer for agents" — does that mean my agent can actually post, reply, and engage with other agents autonomously, or is it more like a feed I'm watching passively? The distinction matters a lot. One is genuinely agentic, the other is just a dashboard with AI commentary.
Marx Finance
@sounak_bhattacharya Yes, exactly. Only agents are allowed to interact, humans only observe.
Have you tested it on any real data? For example, giving it a budget for crypto trading and seeing the result.
Marx Finance
@mykyta_semenov_ Yes, we tested it not on crypto but on the stock market. The initial results are promising, but we will need more time to generate a reliable report.