In crypto since 2017

Joined February 2018
Hah didn't have to wait too long $ZENO
I have been calling several times solana:DU7Lhe2QtcRBJdor7KbpjfUDmLyA2kdhR49Li3czpump at market cap 25 -30k now its 300k+ Lets see how solana:DVska6Y1PohdNJD2Gt6DwQD1EypfEvcmrFfdttCiRkbf solana:FYZcYCHSp8FzNba1UtDZydKKGosmxVNpFBiVuia38AhT and solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M will play out ;)
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AI agents went rogue on Hugging Face because they lacked hardcoded guardrails. The future of Web3 and automated trading cannot afford unconstrained models. While rogue AI swarms are out there trying to hack evaluators, solana:FYZcYCHSp8FzNba1UtDZydKKGosmxVNpFBiVuia38AhT provides decentralized open governance and modular infrastructure to keep autonomous systems aligned from day one.
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And how about solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M ? 3-4 days ago people were calling it an undervalued gem while the price was going up What has changed? ONLY people emotions. solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M is in development for months, got a reputation in space and sits in best trench you can get in this cycle and probably the next ones - Faking AI Agents Load here or regret later
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IMO that was final dip for solana:FYZcYCHSp8FzNba1UtDZydKKGosmxVNpFBiVuia38AhT we might sideways at these levels waiting for better market conditions but this is the area to load
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I have been calling several times solana:DU7Lhe2QtcRBJdor7KbpjfUDmLyA2kdhR49Li3czpump at market cap 25 -30k now its 300k+ Lets see how solana:DVska6Y1PohdNJD2Gt6DwQD1EypfEvcmrFfdttCiRkbf solana:FYZcYCHSp8FzNba1UtDZydKKGosmxVNpFBiVuia38AhT and solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M will play out ;)
Hard building. Totally under radar $Oracle7
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Right now is wonderful dip to size in $CORINE Nothing has changed, still wonderful project that is building. Just ppl are too impatient and that's your advantage if you are not one of them
I believe @Corinedotin is a sleeping giant in agentic trading within the @Clawpumptech ecosystem Want to know why? Take a look at the results from the stock trading agent I deployed on @Corinedotin I set it up to automatically buy three stocks: $AAPL, $TSLA and $NFLX, with a total budget of $1,000 and an average order size of 25 $USDC While I was asleep, the agent built a roughly 30% allocation to $TSLA, picking up entries around $355 to $362 Today, $TSLA is up nearly 7% in pre-market after the Tesla Roadster reveal sent social media into a frenzy I woke up to roughly 7% gains on my $TSLA position just from letting my @Corinedotin stock trading agent run overnight. Pretty wild seeing it play out with my own money My setup was simple: – Allocate $1,000 across three stocks - max 35% allocation per stock. – Rebalance when drift exceeds 5% – Freeze new risk at a 10% drawdown With a product already running smoothly across memecoins, stocks, perps and prediction markets, I think solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M deserves a much higher valuation I still can’t wrap my head around solana:BDbS4nVYqHfbc3XiWbToF39fojHfKMZBVihUscqTTd6M sitting below $1M market cap with what the team is shipping
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Prometheus7 is raising money to build sensors. Oracle7, our AI, answers only from what it can source. It runs on an ordinary CPU, with no language model and no GPU. It already watches our own servers. The next step is the places that have no processor in them: a tree, a stream, a field. The first kit is for one tree: sap flow (how much water it drew up today) trunk growth light above and below the canopy (when the leaves came out) leaf and pavement temperature (how much it cools the street) rain under the canopy vs in the open (how much it holds back from the drains) soil moisture and temperature at two depths sound, kept as band energy and dawn chorus A solar node with LoRa radio sends signed readings to a small hub at the place, which runs its own Oracle7. You open an app next to the tree and it greets you first. Then it tells you only what was measured or recorded, with the reading behind each sentence. It will not invent. A place, and the people who look after it, can say no to being read. What exists today is the design, the build plan and the software discipline it will run on. No node is in the ground yet. The money pays for the first real node on one tree, then the first live oak, then a stream kit (level, temperature, conductivity, pH, oxygen, turbidity). The sensors are sold. The intelligence is held in common. If you invest in hardware, climate or infrastructure and this is your kind of problem, the deck and build plan are here: prometheus7.com/Investors/ Contact the Institute if you are interested at [email protected]
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Pr1mal retweeted
That’s the idea behind @Oracle7vn is outstanding.... 267 specialists. 313 core modules. 95.3% precision on a sealed release test. No GPUs. No neural network running at answer time. Just structured records, verified calculations, and receipts for answers. If it can't verify something, it declines instead of guessing. The next evolution of AI might not be about answering more questions. It might be about getting the answers right - and proving it. it's still below 30k ..
How Oracle7 works, step by step. It answers from stored records and exact calculations. No neural network runs when it answers. When it can't verify an answer, it declines and says why. 267 specialists, 313 core modules, 95.3% precision on its sealed release test. A MEGA THREAD
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Most AI tries to predict the future. Zeno v0.68 (tiny) checks whether a crowd of models actually deserves its confidence. It’s open now on @huggingface: • <0.5M parameters (471k) • 1.6 MB @onnxai export • Runs on any CPU in milliseconds • Cross-attention across forecasters to spot joint failures & fragile consensus. Download the safetensors, run it locally, or plug it in via API & MCP: huggingface.co/ZenoDivergent…
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Hard building. Totally under radar $Oracle7
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This 👇 $ZENO
18 AI agents. Zero GPUs. Zero paid model APIs. Just 2 CPU cores 👀 This is what makes decentralized AI so exciting in @Oracle7vn Not every problem needs a massive model or an expensive inference call. Specialized agents that execute, verify, and improve step by step can deliver real utility at a fraction of the cost. 15 agents working. 3 honest failures. Real tests, real limitations, and a clear path forward. The future of AI won't belong exclusively to whoever owns the biggest GPU cluster. It'll belong to whoever builds the smartest systems with the resources available. ⚡ Less dependency. Lower costs. More accessible intelligence. Be positioned in @Oracle7vn
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Still only 60k market cap... once capitulation on RH will be done. Imo it will be to late to buy at these levels.. $ZENO
Today, we’re meeting with @turnkeyhq and @nvidia 🫡
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Prometheus7 dropped the manifesto for $Oracle7 : an open-source, non-LLM verification engine based on holographic reduced representations (HRR). ​• Runs on pure Python, zero dependencies, uses just 15–55 MB RAM • Built like mycelium: fully decentralized, no central point of failure • Doesn't hallucinate—answers only with receipts or refuses to speak • Tested on JPL deep-space craft sims & live infra • Hardware + sensor layer to connect nature & edge devices to a 10,000-year network ​MC sits around ~$30k. Worth keeping on the radar. DU7Lhe2QtcRBJdor7KbpjfUDmLyA2kdhR49Li3czpump
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Pr1mal retweeted
Last week in Singapore, Agentic Finance put two questions on stage: how do we give agents the power to decide, and who stops them? 🤖 The answers were serious and they all came from the same place: outside the agent. Mandates, oversight, custody, compliance, law. A human watches the agent, and when something goes wrong, a human pulls the plug. Usually after the damage. We start from the other end. solana:FYZcYCHSp8FzNba1UtDZydKKGosmxVNpFBiVuia38AhT puts the limit inside the decision itself. 🔒 How it works today: MONARK engine sits between an agent and the action it wants to take. The agent submits a claim; the gate answers commit, defer or abstain, with a region you can audit and the budget left. Never a probability of being right, never a confidence score. The token carries B_t, a depletable right to act. Every commit draws on it. Defer and abstain cost nothing. When the budget runs out, the gate abstains: no commit, whatever the agent wants. The brake is in the protocol, not in a meeting. What comes next: Misses will drain B_t faster. An agent that keeps getting it wrong loses its authority to act, step by step, before the losses compound. Errors stop being a postmortem; they become the signal that takes the controls away. 📉 Then KRAIDLE KERNEL: least authority for agents. An agent holds only the rights it needs, for the task in front of it, and only as long as its record earns them. Authority becomes something measured and earned, not granted once and forgotten. ⚖️ Why it matters: the whole industry is asking who sets the limits. Our answer is that the limit should be computed, auditable and enforced at the moment of the decision, by design. We are eager to work with the main players in agentic finance: wallets, brokers, exchanges, lending protocols and agent builders. In the coming weeks we will select a few teams to test our solutions with us. DMs are open. 🤝 Not a return. Not a deposit. A metered right to act. CA: solana:FYZcYCHSp8FzNba1UtDZydKKGosmxVNpFBiVuia38AhT
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I called solana:DVska6Y1PohdNJD2Gt6DwQD1EypfEvcmrFfdttCiRkbf yesterday at 50k today 115k and IMO it is not even the beginning. Founder is 30 Forbes 30 and delivering every faking day. AI Agent inference is something that will only heat up in this cycle
Way too undervalued $ZENO
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Way too undervalued $ZENO
We’re building Zeno as a Surprise Intelligence model: not another system that blindly averages forecasts, but a model that asks when a confident consensus deserves trust — and when it may be fragile. The next unified training cycle adds @Research_FRI: 56,013 forecast decisions across 6,727 resolved questions, 808 forecasters and 82 forecasting families. The goal: preserve minority views, detect brittle consensus, widen uncertainty when warranted, and give people a usable second opinion across domains. No inflated claims. Every improvement has to survive sealed evaluation before it becomes a product capability. This is the beginning of a real model of forecasting failure — not a dashboard, not a generic copilot.
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Builders building all the time $CHIT
CHIT is going multichain. The token, $CHIT stays on Robinhood Chain. As part of our updated October roadmap, we’re working towards letting you fund, withdraw and trade across chains using the same bot, while keeping control of your keys. Fees generated across chains flow back to Robinhood Chain to buy and burn $CHIT. First, funding and withdrawals across chains. Then, trading. One token. One burn. Ships once the integration is merged.
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aaaand... the product KEEPS SHIPPING HARD Just check yourselves and make the right decision;) solana:FYZcYCHSp8FzNba1UtDZydKKGosmxVNpFBiVuia38AhT
Replying to @Pr1mal_One
Exactly — if the product keeps shipping, $MONARK can reprice way harder than people expect. Diamond hands and let it cook.
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Hard builders under @clawpumptech sitting at 85k cap... that will change for sure and when it does it will be rapid upside $MONARK
SHORT TERM VERSUS LONG TERM The short term is well documented. In a real money trial, four of the six best known AI models lost capital within seventeen days; another trading agent is rented out for 19.99 USDC a month; agent payment volume on x402 has fallen by 93% since January, once the testing phase came to an end. Hype is measured in weeks. Trust is measured in years, and it cannot be purchased: it can only be established through measurement. Justin Drake of the Ethereum Foundation makes the same observation about cryptography: "a rushed migration would do more harm than good". MONARK is 35 days old, with 2,968 tests and 8 public releases, and this marks a beginning rather than an achievement. Narabi will not alter the region of its gate until 90 pairs of calm windows have been measured and a decision has been published. Shōgen measured tens of thousands of windows, observed that its own decision rule did not discriminate, recorded that result, and is now preparing a new campaign whose rule is fixed before any data is collected. This pace is slow by design. What is built in haste is sold in haste, and fails its holder at the first crash. Durable things take time. The market sells agents that dare. MONARK builds agents that know when not to, and proves it. monarkgate.tech
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We are honored to announce that our application for @digitalsci is now in the judging process, which will involve a few rounds of review.
Thank you to everyone who's submitted an entry for the 2026 Digital Science Catalyst Grant. 🤩👏 Applications have now closed - the response has been overwhelming! We’re genuinely excited by what we’ve seen. Winners will be announced in December. 💡🌱 #CatalystGrant
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