SENT (SENT)

gSenti and Happy New Year fam 🥳 With only a few hours left before we enter the new year, I looked back and realized that the project I spent the most time on and created the most content for in 2025 was @SentientAGI. Hard to believe, but I discovered Sentient back in Jan 2025 and it’s almost a full year. During this time, I met many new friends on the Sentient server and learned a great deal about AI technology. It still surprises me that over the past year I’ve sent nearly 35 k messages on the server. I’ve also spent 360 hours in voice chat. Especially in the Sentient Turkey voice channel, spending late nights chatting and playing games became a routine for me. Throughout this period, I created around 140 X posts related to Sentient, along with 35 intro/stomp videos used in those posts. Although I wasn’t visible on the Kaito leaderboard before the $SENT airdrop ss were taken, I managed to reach the top 100 in the 7D lb last week. I’ll continue producing content even after TGE maybe the rankings won’t matter anymore, but I’ll still keep contributing. One thing I’m especially proud of is earning Sentient AGI, the highest OG role, thanks to my contributions. Even though the extended TGE process caused some discouragement at times, I still fully believe I’ll have a great outcome from the SENT airdrop. So this is a look back at my Sentient journey by far the Web3 project I dedicated the most time and effort to this year. I hope the new year brings us all health and peace first, and then the rewards we deserve for our hard work.

Tried SERA in Sentient chat on a messy DAO treasury vote. It didn’t shotgun tools, it went Define target → add context → refine, pulled on-chain refs and flagged a governance risk we missed. @SentientAGI opening both the benchmark and best agents makes this feel auditable, not hype. If $SENT powers this at scale, we’re early. Who else is testing CHANCERY in crypto workflows?

I recently got hands on @SentientAGI's SERA, and it's truly the kind of tool where you can feel the difference after just one use. The response speed is fast, contextual understanding is solid, and on public benchmarks it can already hold its own against some closed models. More importantly, it's open‑source, allowing us to see how the model and agents cooperate, unlike a black box that makes you uneasy. Another thing that reassures me is the GRID architecture: it breaks a problem into sub‑tasks, dispatches them to the most suitable agents, then merges the outputs—like putting a “teacher of division of labor” into AI. According to the reference material, over 110 projects have already integrated, and GRID has already laid out the data connectivity, coordination layer, and deployment tools. Moreover, they have already connected identity verification with Billions Network, incorporating sybil and bot abuse mitigation into the design from the start. It feels less about storytelling the future and more about solving real‑world pain points. Additionally, they have papers on model fingerprinting, robustness, etc. (accepted by a conference), and funding rumors are circulating in the community. The pre‑market momentum of $SENT also seems justified. I have a small position observing and testing on the side; personally I tend to follow long‑term but still DYOR. Do you think the combination of open‑source + built‑in trust layer could be the next path that truly brings AGI from the lab to reality, and will the Q1 launch of $SENT act as an amplifier?

If you want a simple playbook to increase odds for $SENT and actually help the ecosystem, here’s what I did after messing with @SentientAGI tools for a few weeks 1) Run SERA queries to get real-time signal sets, then pick top 3 risk-adjusted ideas (it saved me time on research) 2) Claim Proof of Uniqueness via the Billions collab (no KYC, zero-knowledge) removes bot noise and keeps your contribution valid 3) Contribute small PRs to ODS or test prompts on RoMA; open-source contributions still weigh more than lurkers 4) Run a GRID node or join Sentient Enclaves tests to prove on-chain participation 5) Stagger entries (3 fills) and keep receipts/audit hashes for future verification Not a guarantee, but this is how I moved from passive observer to active gSenti contributor who else is prepping for TGE?

tried @billions_ntwk once for $SENT drop and now it’s just plug-in clean airdrops across projects no KYC, no sensitive data farm just proof you’re human bots can’t touch allocations and stuff like @SIXR_cricket in TG makes it feel like actual community flow not marketing noise

$SENT is coming? The Pre‑M tag is no longer on Binance pre‑listing; I remember it was there last night. @SentientAGI should also have its TGE soon. Looking at recent projects that got onto Binance pre‑listing, Lighter airdropped yesterday, and Brevis, unsurprisingly, will arrive on January 3. $SENT has been on the pre‑listing for about 40 days now, its sluggish pace is comparable to Monad's. https://t.co/TfYovwBtGo

Sentient and SENT season is coming early next year it seems like @SentientAGI got airdrop registration ready and basically you push play once market conditions are ready. I hope we see early year AI agent season coming to market.

I just registered for the @SentientAGI airdrop through @billions_ntwk and the flow surprised me. Phone-only, quick selfie, NFC tap to my passport chip, ZK proof generated locally, no data collected, done in ~60s. That’s the first time identity feels private instead of invasive The result sits in my wallet as a liveness + uniqueness credential I can reuse across apps. It matches Sentient’s thesis: let $SENT coordinate open AGI contributions while filtering bots without doxxing. In a deepfake era, hardware attestations + ZK > video checks.

The stack is getting clearer: coordination, provenance, verification @SentientAGI is shipping the coordination layer for open AGI. $SENT defines who contributes models/data/compute, what results are accepted, and how costs are shared so value doesn’t collapse back to whoever can foot the bill. Even their airdrop flow leaned on zk uniqueness checks to keep it human and fair. This isn’t points farming, it’s the minimum viable incentive system for durable #AGI @OpenledgerHQ makes it Proven AI. $OPEN enforces attribution on-chain, routes datasets via DataNets, and pays contributors by Proof of Attribution. openLoRA + modelFactory + .openx identity turn models into transparent agents, not black boxes. MARBLEX in and Coinbase Institutional custody is signal, not noise. #AI #DataNets @miranetwork closes the loop with verifiable execution. Delegated validators, licensed operators, and Autonometrics give you traceable outputs, not vibes. One SDK, multi‑model, error‑tolerant routing, and auditable decisions. Trust e