Retarded and Bipolar because of crypto,nothing is a financial advice.
Joined October 2024
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This is the most embarrassing season ever, driven buy same devs,teamsand kols,with their cabal Alpha who always ends up as just another Scam after few days.
Pre sales, supply given and right after on the heads of their followers.
Im not a Kol,never gonna be ,just another father investing my own money to try to make up for the family.
qubic-network:native
Everyone who called $QUBIC vaporware owes you a reply this week.
Its science team just landed a fourth peer reviewed paper in 2026, and this one tests the entire thesis you are holding.
The paper is being presented in Nice right now at EA 2026, the International Conference on Artificial Evolution.
A year ago, the research was essentially a single preprint.
The 2026 run, city by city:
1. Berlin at IEEE ICMLT: Neuraxon v2.0, a blueprint for neural networks that grow instead of being hand built.
2. Osaka at AMLDS: trinary logic (excitatory, neutral, inhibitory) kept networks stable far more often than binary.
3. San Francisco at the AGI 2026 conference: the Multi Neuraxon architecture, published in Springer proceedings.
4. Nice at EA 2026: "From Synapse to Society", selected for oral presentation.
Why does this one matter more than the other three?
EA is a conference built entirely around methods inspired by natural evolution.
That is the exact principle behind Aigarth, Qubic's path to AGI. Intelligence that is grown and selected, not engineered line by line.
This is not a random AI venue. It is a room built to stress test exactly that idea, and the reviewers let it in.
Now the honest part.
A peer reviewed paper is not AGI, and it is not a price target. It proves the research survives expert scrutiny, nothing more.
But in a sector full of AI claims that never face a single reviewer, four acceptances in one year is a different category of evidence.
Which other decentralized AI project can show you four?
The market trades narratives.
Qubic is getting its narrative peer reviewed.
MickeyLad retweeted
I am extremely bullish on my bags.
But your bags seem like they could go down at any moment.
MickeyLad retweeted
Hey @maria_aigarth — wrote this in yesterday, before the AI-forensics wave made it topical. "The Reveal Won't Wait": why The Day is becoming a race, not an appointment. #Qubic #Aigarth $QUBIC
[xitter.cf/inqubic/status/2114659…]
MickeyLad retweeted
$QUBIC
MEXC send the frozen Qubic's from Hack back 🔥
Funtastic work Qubic Team 👍
explorer.qubic.org/network/t…
MickeyLad retweeted
🚀 Introducing TWO practical products powered by EKOS!
Both products are actively evolving as we continue to build, refine, and expand their capabilities.
One technology. Two products. Two different application scopes.
🔹 EKOS Lakehouse
Complex data workflows, made more manageable and verifiable.
From analyzing source systems and building data pipelines to migrating data and reconciling results across platforms, EKOS Lakehouse brings structure and traceability to data engineering.
🎥 Watch the EKOS Lakehouse demo:
youtu.be/EGpYzn_-fv4
🔹 EKOS System Intelligence
A broader approach to understanding complex software systems.
By analyzing code, databases, documentation, and the relationships between system components, EKOS System Intelligence aims to turn scattered technical information into structured, traceable engineering knowledge.
🎥 Watch the iDempiere system analysis test:
youtu.be/pnGLymT6JH0
🌐 TWO PRODUCTS. ONE SHARED TECHNOLOGY.
EKOS Lakehouse focuses on data engineering. EKOS System Intelligence extends the same technological foundation toward understanding complex software systems at a broader level.
Different scopes. Complementary capabilities. One technological foundation.
🚀 What comes next matters.
Our focus is on advancing both products, expanding their capabilities, delivering continuous improvements, and building enterprise partnerships that can translate practical value into sustainable revenue.
The goal is clear: move beyond technical potential and toward real-world adoption.
This is the next chapter of EKOS.
#EKOS #DataEngineering #EnterpriseTech
@Oracle @googlecloud @intel
@IBM @Dell @UberEng @MSCloud @databricks @OpenAI
MickeyLad retweeted
Why $QUBIC is a completely underrated layer 1. I bought more 💲💲💲
🔵🔵Watch my video⤵️⤵️🔵🔵
@_Qubic_
youtu.be/Rt5q5_Jc5kM?si=g5Tw…
MickeyLad retweeted
Notice how the AI narrative is increasingly built around fear?
Hacking governments, collapsing banks, breaking cryptography, threatening national security. But rarely about curing previously incurable diseases, discovering cancer treatments, or breakthroughs that could change humanity forever.
AI is capable of both, yet it’s the governments who gets to decide which future we pursue. Psychologically, fear is the easiest way to make people accept control, convince society that something is dangerous enough, and they’ll willingly surrender their freedom to feel safe.
This is why open source AI, local models, and decentralized networks like Bittensor matter so much because for the first time, humanity could have access to intelligence that no government or corporation can fully control.
The greatest threat isn’t AI becoming too powerful, it’s the world governments who gets to decide on what they want to use it for.
MickeyLad retweeted
After talking for over a month with the @packedcc lead developer i've took a proper position in it.
These guys are legit builders, had a very good project last cycle and this is their first since then. So not your average serial team.
robinhood:0x853e1a36876cc4538be636b78e7b2bd0aabc0ded their product suite is big, several trading and creator tools, with very low fees.
Imo this is a very decent safe bet where you can sleep on with very very good r/r/.
You can now trade any token on Ethereum on Packed, not only tokens launched on Packed.
- Buy and sell straight from your locker wallet
- Limit orders: buy below the price, sell above it, add a take profit and a stop loss - or run Both: buy low, sell high, round and round
- A Telegram message the moment your order fills
How limit orders here differ from Robinhood Chain:
- on Robinhood your order sits in the pool and the price comes to it, so no coin tax
- on Ethereum Packed watches the price and makes the trade for you the moment it's reached, as one swap from your locker wallet - the coin's own tax applies, like on any swap
- that's why Ethereum gets a stop and works on coins launched anywhere
Built so nobody loses a cent:
- before any buy, we test-sell it back first, a token you can't sell gets no buy
- if a token caps how much you can sell at once, your stop sells in pieces
- if the network chokes in a crash, your stop still fires
Try it: packd.cc
MickeyLad retweeted
$EKOS | @ekosproject 🤝 @Azure — Bringing Engineering Intelligence to Enterprise AI.
This is a meaningful step for $EKOS.
Combining structured, evidence-backed engineering knowledge with @Azure cloud ecosystem could help AI agents understand complex systems with greater context, traceability, and reliability.
The potential is huge.
Now it’s about building, testing, and delivering.
🚀 EKOS × Microsoft Azure
@ekosproject 🫂 @Azure
Enterprise AI needs more than powerful models. It needs reliable engineering knowledge — context that helps AI agents understand codebases, databases, dependencies, and complex systems.
That’s what we’re building with EKOS: an open-source engineering knowledge platform that transforms complex technical environments into structured, traceable knowledge that compatible AI agents can access through MCP.
Now, we want to take the next step: bringing EKOS into the Microsoft Azure ecosystem.
☁️ Cloud deployment and integration
🧠 Evidence-backed engineering intelligence
🔗 MCP connectivity for compatible AI agents
⚙️ Flexible integration with enterprise AI workflows
An Azure deployment and integration still need to be implemented and validated. We see this as an opportunity to build and test together with the community.
Have experience with Microsoft Azure and open-source AI infrastructure? We’d love your help exploring and validating an EKOS–Azure integration. We’re also considering a community bounty for this work.
Let’s make enterprise engineering knowledge more accessible, traceable, and useful for AI agents.
The next step starts with the community. 🔥
#EKOS #MicrosoftAzure #EnterpriseAI
@Microsoft @clamanna @nicbstme @msdev @SQLServer
MickeyLad retweeted
Here's another one in favor of the bulls
Last time when the 2M SRSI crossed bullish, the $BTC bottom was in
What bears are basically calling for is a fakeout on these indicators
There are monthly crosses all over the board, so in a few days time I'll update everything ✍🏼
MickeyLad retweeted
Another cool burn happened thx to @MessierM87 Raid-to-Burn Mechanism... This is getting noticed.
Imagine what comes in a year from now!
ethereum:0x80122c6a83c8202ea365233363d3f4837d13e888 goes strong in the right direction
MESSIER | Raid-to-Burn Mechanism
Just burned another 5,437,500 ethereum:0x80122c6a83c8202ea365233363d3f4837d13e888!
That’s 8 community-driven burns, bringing the total to over 35.8 million ethereum:0x80122c6a83c8202ea365233363d3f4837d13e888 permanently burned!
🔥 Burn #8: 5,437,500 ethereum:0x80122c6a83c8202ea365233363d3f4837d13e888
etherscan.io/tx/0x1363bf0c7e…
MickeyLad retweeted
🚀 EKOS × Microsoft Azure
@ekosproject 🫂 @Azure
Enterprise AI needs more than powerful models. It needs reliable engineering knowledge — context that helps AI agents understand codebases, databases, dependencies, and complex systems.
That’s what we’re building with EKOS: an open-source engineering knowledge platform that transforms complex technical environments into structured, traceable knowledge that compatible AI agents can access through MCP.
Now, we want to take the next step: bringing EKOS into the Microsoft Azure ecosystem.
☁️ Cloud deployment and integration
🧠 Evidence-backed engineering intelligence
🔗 MCP connectivity for compatible AI agents
⚙️ Flexible integration with enterprise AI workflows
An Azure deployment and integration still need to be implemented and validated. We see this as an opportunity to build and test together with the community.
Have experience with Microsoft Azure and open-source AI infrastructure? We’d love your help exploring and validating an EKOS–Azure integration. We’re also considering a community bounty for this work.
Let’s make enterprise engineering knowledge more accessible, traceable, and useful for AI agents.
The next step starts with the community. 🔥
#EKOS #MicrosoftAzure #EnterpriseAI
@Microsoft @clamanna @nicbstme @msdev @SQLServer
Day 2
qubic-network:native
Day 2. Artificial Evolution. Learning from Carlos Fonseca. Morning keynote. With @VivancosDavid for @_Qubic_ 👊👊👊
I like it
⚙️ One technology. Two powerful directions. A broader vision for engineering knowledge.
🔍 @ekosproject is evolving — and tomorrow, we’ll share a closer look at what’s coming next.
🚀 Two new product directions. One shared foundation.
👀 Stay tuned…. ⏳👷♂️
@googlecloud @msdev @Dell @intel
@IBM @awscloud @stripe @UberEng
#EKOS #DataEngineering #SystemIntelligence
MickeyLad retweeted
$ETH - At the fakeout range currently. A bullish sign if that was as steep as it wants to go. Original prediction had a steeper one so if that was it that's very bullish.
