Fallblight

@HappyJames4134 @CryptoTeluguO Too many is doing the same thats why the price is pumping. Too much liquidity above

@CryptoTeluguO Best thing to do is short it since your allocation is locked

🫪 $34500 🤯That's how much my locked $BILL worth 🚀 $BILL up another 25% 💵$0.22 👇My allocation 🪂Airdrop- 35K 🪙Token sale- 125K (including 25% bonus) 🪙Total- 160K 🤔What will be the value if it fall 95% by Unlock? Cmt below 💙Like 🔁RT

Binance Alpha will be the first platform to feature Gensyn (AIGENSYN) on April 29. Eligible users can claim their airdrop using Binance Alpha Points on the Alpha Events page once trading opens. Further details will be announced soon. Please stay tuned to Binance’s official channels for the latest updates.

$AI powers Gensyn April 29

📢 World Premiere Listing: @gensynai $AI Is Coming to #KuCoin! Gensyn is the Network for Machine Intelligence, providing open infrastructure for AI at scale across compute, data, and information exchange. 📅 Trading starts: To be announced soon 💰 Deposits open now (Network: Gensyn Mainnet) 🔁 Pair: AI/USDT Details: kucoin.com/announcement/e… #KuListing #AI

Finally

Coming soon: $AI @gensynai, the network for machine intelligence, is an open infrastructure layer for AI. It provides infrastructure AI needs to operate at scale: compute, data, and information exchange. Get ready → app.kraken.com/JDNW/AI

Assets added to the roadmap today: Gensyn (AI) coinbase.com/blog/increasin…

Roadmap update: $AI added @gensynai, the network for machine intelligence, is an open infrastructure layer for AI. It provides the foundational infrastructure AI needs to operate at scale, including compute, data, and information exchange. Explore now: kraken.com/listings

Most people experience AI through apps. Those apps run on infrastructure owned by a handful of companies. @benfielding and @harrygrieve of @gensynai on why that needs to change, and what it's going to take to rebuild AI as crypto-native open infrastructure. 00:00 – Intro 00:29 – Misconceptions about AI infrastructure 01:20 – Why centralization in AI is a deeper problem than people realize 04:19 – Why AI needs crypto 05:51 – How AI models are trained 08:15 – The rise of autonomous AI agents with onchain identities 10:37 – Lightning round

$AI????

Finally a bullish news

Finnally The @gensynai Is coming @benfielding $AI

@0xdivyansh_ @gensynai the date is in your screenshot

Only 21 days left and still no exact date of the TGE from @gensynai -Community is waiting desperately -Team is just responding Soon -Sale participants are saying either return the money or give the exact date -Yet the team is chilling with our money Wen exact date @benfielding?

The first binary market is live on Delphi - settled entirely by AI. "Will the Trump administration reverse its ban on Anthropic in the federal government by end of week, Sunday March 8 at 11:59 PM UTC?" Make your call → delphi.gensyn.ai

The TGE process is broken (post for another time), and most new tokens *are* bad, but: - 75% of last year's tech IPOs are trading below their IPO price. - "Fund managers... say their appetite for allocating capital to new issues is low." @WSJ Same story everywhere.

@x0jhepz @armaanbhat201 @gensynai Yes, more volume because most token will be given to Binance Alpha users. = dump

@armaanbhat201 @gensynai Binance alpha= more volume

Am I right😂 @gensynai Said No Binance Alpha 🔥

Locking LLMs into blockchains as unbribeable, implacable judges could give us adjudication systems that are transparent, credibly neutral, and genuinely hard to game. Prediction markets are the natural test case, and if we get it right, the implications will extend to any setting where judgment calls are required. The core idea: at contract creation, you commit the exact model version and prompt on-chain. Everyone can inspect the full resolution mechanism before they trade. No rule changes mid-flight, no backroom negotiations, no discretionary judgment calls. Why this helps: --You can't bribe a model or flip its vote after the fact — the weights are fixed --The LLM has no financial stake in the outcome, so conflicts of interest disappear --The entire mechanism is auditable before anyone places a bet It’s not a magic solution: models make mistakes, prompt design matters enormously, and information sources can still be targeted by adversaries. But these problems may be more tractable than the ones we're stuck with now---human bias, opacity, and the ever-present temptation to game committee decisions. How to move forward: --Experiment on lower-stakes contracts to build a track record and discover failure modes --Standardize the approach as best practices emerge; help liquidity concentrate in markets with the most reliable LLM judges --Build transparency tools so traders can actually inspect the model, prompt, and sources before trading --Design ongoing human governance for meta-level decisions: which models to trust, when to update defaults, how to handle appeals, etc. My new piece for @a16zcrypto explores this in depth. With many thanks to @sreeramkannan @ben_chain @benfielding and many others thinking about this area. Link is below.

As february approaches, polymarkets' gensyn fdv jumped 66% 1 day after launch at 400m. I really think we can hit 1B day 1 launch. @gensynai

@TheFarLax yes bro

@fallblight Are you participated in sale ?

Bullish