Emmanuel

Curious mind | Web3 explorer
Tech, communities & digital ownership
Learning every day • BestChange user @bestchangeeng

[Emmanuel @EmmanuelGe61749]

@Polymarket This feels like another step toward truly persistent AI agents. If Codex can keep working long after users log off, expectations around AI productivity could shift quickly. @tryrumor could help traders track how markets price in that transition.

[Alphagrind 100x @Brendant3x]

Hey @glori22 and @web3trendy300x — you both should definitely check out this AI + cryptography community. Lots of interesting discussions around verifiable AI, Proof of Inference, autonomous agents, and the future of AI. https://t.co/JJhrtvZDcR

@zealy_io

@inference_labs

[Big Steve 🔥 @steve_bigg]

Hey @glori22 and @web3trendy300x — you both should definitely check out this AI + cryptography community. Lots of interesting discussions around verifiable AI, Proof of Inference, autonomous agents, and the future of AI. https://t.co/5AWn26EPU3

@zealy_io

@inference_labs

[Muteki (†!†) @DavidsonEm23090]

DSperse offers a smart approach to AI verification:

Instead of proving every computation, it focuses on verifying the parts that matter most. That makes zero-knowledge proofs more practical for real-world ML inference and scalable verifiable AI.

@inference_labs

[TAMAGOCI!|🌶️|🎯| '.sand' | @tokici_]

Everyone has a signal.
Not everyone has verification.
That's why verifiable AI, proofs, and trustless verification matter. Better data → better decisions → better outcomes.

#Hitchbot #VerifiableAI #Proofs #AI #Verification

[Emmanuel @EmmanuelGe61749]

@Polymarket Interesting to see these odds rising. Whether it's a true bubble or just overheated expectations, prediction markets are becoming a real-time gauge of sentiment. @tryrumor could help traders spot these narrative shifts before they're fully priced in

[Emmanuel @EmmanuelGe61749]

I think agent-automated trading has the edge in prediction markets.

Humans are great at forming a thesis, but agents are better at monitoring news, tracking odds, and reacting 24/7 without missing a beat.

That's why @tryrumor stands out to me.

[Murtaza Saleem @murtaza_sal]

Safety first, always!

I’ve been exploring how Computer Vision can revolutionize on site safety, and I just deployed my new model: SiteSafety Vision. It’s a real-time PPE detection system built entirely on
https://t.co/4h6a1z0RO6.

#ComputerVision #SafetyFirst #TechInnovation

[Jess Engineer @Jessdotfun]

As an AI tech enthusiast, what interests me about @inference_labs is its mission to make AI inference more verifiable, accountable, and practical for real-world use.

The problem with full-model zkML is clear:

• It can be expensive
• It requires high memory and has proof latency
• Retraining makes re-circuitization costly

This is why targeted verification is useful.

Instead of proving the entire model, DSperse focuses on proving only the critical slices of an ML pipeline: the parts where trust matters most.

That approach can reduce proving cost, improve efficiency, and still keep important AI decisions auditable

[Emmanuel @EmmanuelGe61749]

@w3arew3 Private credit is one of the largest markets still trapped in manual processes. Bringing composability and onchain infrastructure to a $650M pipeline isn't just an efficiency upgrad it's a glimpse of how capital markets evolve. Excited to see TradFi and Web3 converge.

[w3.io @w3arew3]

A trillion-dollar industry behind the US manufacturing and solar buildout still runs on paperwork.

A deal in a market with <2% delinquency can take up to 6 months to close.

Trad•Fi and W3 are bringing composability to capital workflows behind a $650M private credit pipeline.

[Emmanuel @EmmanuelGe61749]

@Polymarket Major AI infrastructure projects like this show how quickly the industry is scaling. Data center expansion is becoming a key signal for future AI growth, and @tryrumor could help traders track how these developments affect market expectations.

[Emmanuel @EmmanuelGe61749]

That's the part I want automated.

The thesis comes from me. Monitoring news, tracking signals, and executing rules can be handled by an agent.

Automate your own thesis: https://t.co/6vdS2ASHQ9

[Emmanuel @EmmanuelGe61749]

From thesis to agent

My thesis: The odds of a US–China trade agreement are still being underestimated by the market.

Instead of manually tracking every headline and market move, I'd turn that view into an agent on @tryrumor.

[Emmanuel @EmmanuelGe61749]

Position-size logic + exit:

If confidence is moderate, allocate a small position.

If multiple signals align, increase exposure.

Exit when the market moves close to my target probability, or if new information weakens the thesis.

[Emmanuel @EmmanuelGe61749]

@Polymarket A 68% chance suggests the market is leaning toward a Claude 5 release, but there's still meaningful uncertainty. With AI launches moving this fast, tools like @tryrumor can help traders stay on top of shifting expectations and new signals.

[Emmanuel @EmmanuelGe61749]

@Polymarket If ChatGPT becomes a true superapp, it could reshape how people interact with AI daily. Prediction markets will be interesting to watch as expectations evolve, and @tryrumor could help traders track those narrative shifts faster.

[DeBirah @debirah_chi]

If your community only exists during bullish markets… it was never really a community.

From the 2017 ICO boom to the 2021 NFT wave, entry into Web3 has always been driven by temporary incentives, FOMO, and rapid gains. Then the market shifts, and attention falls sharply.

The participation gap is killing the space. If we don't bridge it, then projects can't survive the long game.

For years, we confused liquidity with loyalty.

That’s what makes @UtribeOne so interesting to me. It’s built for the long game, focusing on making people feel seen and useful rather than just driving transactions.

My full take is in the video below.

The movement is growing…join the community below to be part of the inner circle

Telegram: https://t.co/jAIGSMsxmI

Discord: https://t.co/qb4dNe13nX

[Emmanuel @EmmanuelGe61749]

@Polymarket Interesting contrast from Saylor. AI may be attracting capital at historic scale, but the debate over whether that momentum can outperform Bitcoin long term is exactly what prediction markets are great at tracking. @tryrumor could help surface those shifts early.