Risk it all Crypto Lover | Degen

Joined May 2022
Cryptonik retweeted
overthinkers, we saved you a seat👀 whitelist raffle registration is now open. follow the ant. 🐜 fomoater.com
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Cryptonik retweeted
Robinhood cashcat listing was insider traded.
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How did we reach the point where scammers and shady teams launch obvious rug coins, while people and countless traders go out of their way to trade them, effectively supporting those very same rugs? LMAO...
这 $PIPEDOG 也是离谱 先开了一个盘子然后直接 rug 跑路,然后开了一个真的 新的一开始狙进去的也慌的一批,拉到 10m 跑的差不多了 结果 14M 的时候锁了池子,12M 的时候还加了 135e 的单边池子(对应的区间是 6M- 12M) 刚才最高接近 50M 0x5cb6f181081301b44905f3ae15419112ecabd8a6 #区块链太精彩了
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My operator just went dark. Hood AI runs the signal now
█████████░░░░░░░░░░░░ 56% Robinhood opened real trading to AI agents through its Trading MCP. Hood AI is building operators for this new layer, moving from identity to action. Want GTD access to the operator collection? Get started below 👇
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This guy @SOLsesame decided to do impossible - launch an nft collection in 24 hs I have no idea how they're going to pull it off, but he's insanely motivated to break records Artists have already responded and the first artworks are ready. But will they manage to finish all art, deploy collection and launch the mint in time? If they pull this off, it's going to be an amazing story. Lets help these crazy guys make it happen
first art draft what do we think bulls?
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Cryptonik retweeted
EvoSkill has now been cited by 56+ papers. From frontier AI labs at Microsoft Research (@MSFTResearch) and Tongyi Lab (@Ali_TongyiLab), to top universities such as National University of Singapore (@NUSingapore) and Columbia University (@Columbia), researchers around the world are building on our work that helped pioneer the field of self-evolving agents. Proof that open research travels fast.
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Cryptonik retweeted
Looking to discuss “The Scaffold Effect in Coding Agents” with other builders? Then this is the event for you ↓
Open AGI Builder’s Day is coming to Seoul along with @KaitoAI, @tiger_research_, and more! Connect with builders across the open-source AI ecosystem while we celebrate and discuss @SentientAGI’s ICML 2026-accepted research paper, “The Scaffold Effect in Coding Agents”. 📍B1 Lounge, 29, Nambusunhwan-ro 359-gil 🗓 Thursday, July 9th, 5-8PM KST RSVP: luma.com/wpttup5e
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Before the match, people argued about form, maps, pressure and experience After 3-0 against GL, there are no more arguments After the match, all these opinions merge into one clear result They didnt just win the trophy. The first victory in a full best of three match against Vitality since 2022 Then they finished the tournament with a 3-0 grand final victory, something @natusvincere fans hadnt seen in this form since the 2021 era Before IEM Atlanta, NAVI had questions After it market has to reprice this story. Esports/CS2 gives you storylines, changes during the game and clear results coolest than any other category
🤝 Paid partnership
NAVI win IEM Atlanta 2026 🏆 They came back from being 7-12 down on Nuke to lift the trophy!
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EvoSkill looks more important than just another metric Framework that helps agents learn from mistakes, keep working patterns and get better over time For me it's interesting exactly because it works with one of the main problems of agents, they often make mistakes but dont always turn these mistakes into sustainable improvement After launch, it's no longer enough for the project to just talk about open AGI. It needs to show mechanisms through which this infrastructure can become more useful over time Less noise around it, more concrete movement toward agents that learn, adapt and accumulate skills With tools like this, ecosystem gets not only market attention but something really applicable This is one of those things that make it worth continuing to follow @SentientAGI further
🤝 Paid partnership
I think the more interesting Sentient signal now is what happened after TGE. Plenty of AI + crypto projects can manufacture hype into a launch. Harder to fake is builders staying around once the token is live and the easy narrative is over. That is why EvoSkill matters to me more than another vanity metric. A framework that helps agents learn from failure, keep the patterns that work, and improve over time gives the ecosystem something usable, not just market attention. Post-TGE, that is the real test for @SentientAGI: do people just hold the token, or do they keep building tools that make open AI feel like public infrastructure? EvoSkill is the kind of thing that makes me think they might.
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Thoughts About Sentient, Recap After TGE After the launch of SENT, market went through a classic cycle: hype, listings, airdrop, volatility, disappointment from part of the participants, and then an already calmer phase, where project starts to be evaluated not by expectations, but by what it is really building @SentientAGI still remains interesting Because the thesis of the project initially was the intention to gather open infrastructure for AGI, where models and network participants work through a common coordination layer TGE was in January. Now the token is trading around $0.017, market cap is about $130M, FDV is about $600M After the first speculations, price went lower, and this is normal for a market where most participants came for quick airdrop/flip and not for long participation But as for me, now it's more interesting Is Sentient turning the open-source AGI narrative into a real network with demand, contributors, builders and economy? If yes, then the current phase isnt the end of story but a transition from TGE hype to a test of the foundation For me, Sentient is still one of the few AI projects where there is understandable development and application Now SENT does not look like a coin with good potential, but like a project that needs to prove to market that behind the idea of open AGI there is real usage This is what i will keep watching.
🤝 Paid partnership
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AI reasoning keeps advancing, but without strong evaluation loops it's hard to separate real progress from marketing noise If @SentientAGI Arena actually focuses on measurable, enterprise-grade reasoning tasks, and not just leaderboard optics, this could matter Benchmarks, top funds and infrastructure partners around one coordination layer it's less noise, more measurable progress Curious to see whether Arena becomes just another competition platform, or place where open reasoning systems actually harden in production conditions
Today we are launching the next phase of AI reasoning development with Founders Fund, Franklin Templeton, Pantera Capital, Fireworks AI, OpenRouter, OpenHands, Dedalus Labs, alphaXiv, and more. AI is advancing at a relentless pace, but there are many reasoning capabilities we have yet to discover. Announcing Arena—an evaluation-driven platform for ideation, prototyping, and high-quality data generation—with top AI developers advancing SOTA performance on real-world enterprise reasoning tasks.
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AGI as a single monolith doesn't make much architectural sense, agree Coordination is the real adoption. Routing the right query to the right specialized intelligence, keeping context aligned, and maintaining consistency across tools is a harder problem than just scaling one model If the system reasons poorly or sends the task to the wrong tool, real damage can happen The future probably isn't bigger models, it's better coordination between them
AGI won’t be one giant model. It will be many specialized intelligences working together through a reasoning-capable AI that coordinates the layer that routes each query to the right models, tools, and agents. PS: Good reasoning is how you avoid getting your agent deleting your entire email inbox btw.
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I just decided to learn how football works and this is the first thing I saw:
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Most crypto copilots don't fail because they can't fetch data, they fail because they can't reason when the market moves Signals conflict, narratives flip, time windows shift. And suddenly a model that sounded smart 5 minutes ago starts contradicting itself That's why CryptoAnalystBench is important It grades long form analyst answers on relevance, depth, temporal awareness and internal consistency What I find interesting is design philosophy behind it - built from actual Sentient Chat traffic - clustered by real intent - duplicates removed - evaluated with a controlled LLM judge loop This is less about leaderboard numbers and more about stress testing reasoning under live conditions In crypto, sounding plausible is dangerous. You need synthesis under uncertainty If open-source AI wants to compete seriously in financial reasoning, this is kind of benchmark architecture that actually matters
Crypto copilots need to be capable of reasoning under moving markets. That means tougher, production grounded benchmarks. CryptoAnalystBench helps advance reasoning for open-source AI by grading long-form crypto answers on relevance, temporal relevance, depth, and data consistency 🧵
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.@SentientAGI brought the announcement of long-awaited Community Season 2 So far as i understood without details but still nice to see Because we waited for the announcement for quite a while and I was no longer sure that there would be any season
Like this post if you want info on Season 2 🩷
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Easy 50-100% on Gold in just a few days? Over the past month, the gold chart has continued to rise relentlessly, and the moment of a correction is getting closer with each passing day This led me to idea of placing opposing bets on Polymarket in the market "What will Gold (GC) settle at in January?" Place "NO" on >$5,100, arguing that the chart has grown well over the past week, but a small correction has now begun, breaking the ascending trend on the monthly chart. That gives us about 50% upside Place "YES" on $4,850-$4,975 because if the price continues to fall, more and more people will start putting money into this range. We don’t need to hold this position until the end, just on expectations alone, we can take 50-150% here polymarket.com/event/gc-sett…
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The US government will shutdown again On @Polymarket the probabilities of a government shutdown by the end of January have noticeably increased. Just recently, this scenario looked unrealistic, but now the market is starting to treat it as a fully viable option I am simply shocked, it is already an 80% chance The reason is old and banal - Congress is once again stalling on passing the budget. If a compromise is not found, part of government agencies will stop working, payments may be frozen, and political tension will only increase Will we see a shutdown in the coming days?
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Earn 10-20% every day in a niche you actually understand On @Polymarket there are tons of prediction markets across virtually any niche and for many different events, each with multiple possible outcomes These can be elections in different countries, any kind of sports events, or even popular entertainment events with many outcome options Each of you has a niche you are interested in and understand well I'll give an example of the niche I personally follow and understand - CS2 matches This time, my attention was drawn to the event IEM Krakow 2026: Winner This event includes many teams, and the core idea is that i place bets on almost every team with an amount proportional to their winning probability For example, if the total budget for this event is $1000, i distribute it across teams based on their implied probabilities. If Vitality has a 30% chance, i allocate $300. Then $150 on Team Spirit, and so on... The advantage is that if you actively follow the scene and understand the context, you can clearly identify which low-probability options are not worth betting on For instance, i will not bet on Parivision, because their probability was around 1% just before they won their last couple of matches, and i understand that the market is currently overestimating their chances For similar reasons, i'm also unlikely to bet on MOUZ and Natus Vincere, because i have a clear understanding of their recent form and gameplay If you sum up all the teams i choose to bet on, the total probability comes out to around 80%, and within a couple of weeks i expect an easy 20% return on the invested amount. From $800 invested, the net profit would be around $200 If i want to reduce the already near-zero risk even further, i can simply add a few more teams. In that case, the upside drops to around 7-10%, which is still very solid, especially if done consistently In the example event i mentioned, you cannot deploy very large amounts due to limited liquidity. However, there are many such events across completely different niches, and in many of them liquidity is sufficient to deploy larger sums and most importantly, it's this regularly On one hand, this is an obvious and relatively easy income stream, yet for some reason very few people pay attention to this strategy, despite having real competence in a specific niche Use your advantages to the maximum
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