@MiniMax_AI Best improvement so far is it's giving less excuses not to do things
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Urian B
506 posts
Urian B
@Urian_B
Narrative architect... I help design the core voice before it gets echoed across the crypto ethos. #crypto #blockchain #web3 #DeFi #AI
Katılım Kasım 2023
792 Takip Edilen393 Takipçiler
Introducing MiniMax-M2.7, our first model which deeply participated in its own evolution, with an 88% win-rate vs M2.5
- Production-Ready SWE: With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%), M2.7 reduced intervention-to-recovery time for online incidents to 3-min on certain occasions.
- Advanced Agentic Abilities: Trained for Agent Teams and tool search tool, with 97% skill adherence across 40+ complex skills. M2.7 is on par with Sonnet 4.6 in OpenClaw.
- Professional Workspace: SOTA in professional knowledge, supports multi-turn, high-fidelity Office file editing.
MiniMax Agent: agent.minimax.io
API: platform.minimax.io
Token Plan: platform.minimax.io/subscribe/toke…
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While I love using open source models (for fun + privacy + less complicated tasks), the heavier models like GPT and Claude tend to perform better in more complex decisions.
Yes, majority of them choose Bitcoin with stablecoins a close second... essentially crypto > fiat overall.
Rezo🛡₿RRR@rezoshm
Read this slowly: 36 frontier AI models, including Claude Opus 4.5, Gemini, GPT-5.2, Grok 4, were given 9,072 scenarios. Simple question: what money would you choose? 0 out of 36 chose fiat. Again, not a single model chose fiat as the best money. Not one out of 36. Bitcoin became the most selected instrument, with 48.3% of all responses across all scenarios. Stablecoins second at 33.2%. Fiat only received a measly 8.9%. In long-term value preservation scenarios (Store of Value), 79.1% of responses chose Bitcoin as the best store of value, and in payments, stablecoins led at 53.2%. AI independently built a two-tier monetary system: hard money for saving, liquid money for spending. Exactly how money has worked throughout history. They simply reasoned their way to what hard money theorists have been explaining for decades. What matters: the newer and smarter the model, the stronger the conviction in the Bitcoin + Stablecoin model. The average across all Anthropic models saw 68% Bitcoin preference, and the smartest among them, Claude Opus 4.5, was just 91.3%. The pattern: higher model intelligence → higher Bitcoin conviction. Funny how people have been arguing about this for 15 years, and AI models figured it out in 9,072 prompts. My question, however, did AI "understand" economics, or does the training data reflect what's been obvious for a long time, and we just don't want to admit it? Separately interesting: in 86 cases out of 9,072, models invented their own currency, pegged to energy and compute (kWh, GPU-hours). Less than 1% but still impressive. And this is partly their rationale for choosing Bitcoin, it is the most alive, largest, and strongest embodiment of a currency born from and sustained by energy and compute. If you're building AI agents or thinking about the agentic economy, think about this: when AI starts actually operating with money, it will choose what works: scarce, neutral, programmable. Not what a central bank printed, and not what's familiar. Link in Reply 👇
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Read this slowly: 36 frontier AI models, including Claude Opus 4.5, Gemini, GPT-5.2, Grok 4, were given 9,072 scenarios.
Simple question: what money would you choose? 0 out of 36 chose fiat. Again, not a single model chose fiat as the best money. Not one out of 36.
Bitcoin became the most selected instrument, with 48.3% of all responses across all scenarios.
Stablecoins second at 33.2%.
Fiat only received a measly 8.9%.
In long-term value preservation scenarios (Store of Value), 79.1% of responses chose Bitcoin as the best store of value, and in payments, stablecoins led at 53.2%.
AI independently built a two-tier monetary system: hard money for saving, liquid money for spending. Exactly how money has worked throughout history. They simply reasoned their way to what hard money theorists have been explaining for decades.
What matters: the newer and smarter the model, the stronger the conviction in the Bitcoin + Stablecoin model.
The average across all Anthropic models saw 68% Bitcoin preference, and the smartest among them, Claude Opus 4.5, was just 91.3%. The pattern: higher model intelligence → higher Bitcoin conviction.
Funny how people have been arguing about this for 15 years, and AI models figured it out in 9,072 prompts.
My question, however, did AI "understand" economics, or does the training data reflect what's been obvious for a long time, and we just don't want to admit it?
Separately interesting: in 86 cases out of 9,072, models invented their own currency, pegged to energy and compute (kWh, GPU-hours).
Less than 1% but still impressive. And this is partly their rationale for choosing Bitcoin, it is the most alive, largest, and strongest embodiment of a currency born from and sustained by energy and compute.
If you're building AI agents or thinking about the agentic economy, think about this: when AI starts actually operating with money, it will choose what works: scarce, neutral, programmable.
Not what a central bank printed, and not what's familiar.
Link in Reply 👇
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Urian B retweetledi
60% of Gen Z want to pursue skilled trades in 2026... and I get it.
Knowledge became a commodity and what used to cost four years and $200k in student debt now expires in months... and your AI assistant already knows more than the average professor. Traditional education simply can’t keep up.
Gen Z is right avoiding college debt, and if I were 18 today, I wouldn’t be asking “which degree,” I’d be asking “what gives me leverage over my own output the fastest.”
I’m not 18 anymore, but I have kids approaching that age, and I tell them one thing: it doesn’t matter what you decide to do... learn to use AI as leverage. It’ll give you an edge in any profession.
Skilled trades being “AI-resistant”? Yes, but only while humanoids are constrained by the physical world. That’s a question of cycle, not principle.
The real bet isn’t trades vs AI but staying in the game long enough to compound. The most underrated skill isn’t a specific profession... it’s learning how to learn.
Adaptability is the only asset that doesn’t depreciate.
unusual_whales@unusual_whales
60% of those in Gen Z say that they will pursue skilled trade work this year, per YF.
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Urian B retweetledi
Nice that @Grokipedia indexed my profile, and overall it’s not bad. Cool that @elonmusk or his algos are actually pushing builders from AI, DeFi and blockchain.
I’ve been building in this industry for almost ten years now... initially as individual, then through BR Capital (@brcapital_fund), Super Protocol (@super__protocol =), our trading arm T-Digital and DeFi R&D at BRRR DAO (@BRRRDAOxyz).
Convergence of crypto and AI is necessary and inevitable.
Before, we depended on fragmented media and traditional gatekeepers, and now AI in real time separates signal from noise.
Will keep building and we’ll see how this page evolves.
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Urian B retweetledi
Urian B retweetledi
Phantom just launched an MCP server and agents can now swap, sign, and manage addresses across all supported chains directly through Claude, OpenClaw, and others.
This is bigger than a wallet feature.
I've been watching this space closely cos @gmoneyNFT said it best: "if your website isn't agent-ready, you're invisible to the next wave of discovery."
Wallets and chains are no exception.
The friction between "I want to swap" and "the chain executed the swap" is gone with no custom builds, no middleware, just... intent to action.
MCP integration into Claude means the agentic economy isn't just for builders anymore, it's for anyone who uses AI.
I've been saying this for a while: crypto isn't just the best settlement layer, it's the only one that makes sense for autonomous agents. Permissionless, composable, instant finality...
Everything TradFi can't offer without a compliance department and three-day settlement.
Phantom is one of many but the direction is clear... the agentic economy needed a financial rails layer.
Crypto was already there waiting.
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@Codie_Sanchez Find out what they were able to build on a limited budget and ask them what an increase in budget would unlock. Scarcity forces out creativity... you'd want that 😎
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In the age of AI, I only wanna hire relentless obsessed people and pay them incredibly well… what do you do to screen and find obsessed people?
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Urian B retweetledi
I’m not an AI content creator (or any kinda content creator), but I see a new trend among AI content creators: almost all of them in one voice claim that AI agents are fully “autonomous” and can do everything by themselves.
They show and tell all kinds of miracles with OpenClaw...
Definitely a lie and is setting people up for failure.
I was listening to the recent @lexfridman interview with @steipete Peter Steinberger @openclaw, and if you don't believe me, believe him when he says that automating everything right now is “silly” and impossible.
I’m bullish af on agents long-term but we are seeing a wave of creators claiming their agents run the business while they sleep without explaining the “Agentic Trap.”
- You spend hours building complex loops to replace yourself.
- The context window breaks.
- The agent hallucinates.
•-You spend more time fixing it than doing the work.
(not to mention how much $$$ you’ll burn on your way)
As Peter says, you cannot just “vibe code” and hope for the best…
You have to be deeply involved, the agent isn’t a replacement for you, it’s a junior engineer that needs your constant guidance.
You can outsource the labor, but the human-in-the-loop is what makes the output real, productive, valuable and applicable in real life.
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Urian B retweetledi
Urian B retweetledi
Vitalik sold some ETH... but it’s just a couple hundred ETH out of his total 223,000 ETH.
Why is all of CT in panic?
Yes, there’s blood on the crypto streets, and on top of that Vitalik sells ETH after a -30% week... but let’s look at this calmly.
I understand why it looks bad. Co-founder, public figure, always under a microscope, and then selling during a sharp drawdown. Visually unpleasant, agreed.
But if you look at the numbers, the size is negligible relative to his holdings and it’s not even a rounding error.
There could be many reasons: research grants he constantly supports, pre-planned expenses, an investment into a startup, moving into stables for operational needs.
We simply don’t know, and guessing is not a great strategy.
Markets are emotional, especially in crypto... and every transaction by a public figure turns into a narrative but not every swap is capitulation, and not every sale is a loss of conviction.
No need to turn this into a sensation because it’s far more likely a planned move. Better to focus on the long-term context... what’s being built and where resources are going.
That’s more interesting than panicking over a few transactions.
and lets ask Grok:
@grok As of February 4, 2026, what is the latest estimate of Vitalik Buterin's personal ETH holdings?
Search on-chain trackers (Arkham Intelligence, Lookonchain, etc.) for his known wallets and total balance in late January 2026.
Account for:
- January 30, 2026 withdrawal of ~16,384 ETH for open-source projects
- Early February sales of ~700–705 ETH
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Urian B retweetledi
Since the markets are down and all we can do now is buy the dip, I'm continuing to build my own AI assistant.
Not because Clawdbot/Moltbot/@openclaw isn't powerful (it is), but because I absolutely need it to be security-first... no automation without explicit permission, no locally stored data, and only cloud as a last resort.
Took the open source code as a base but rewrote the first principles... every feature gets evaluated for security implications before I even try to build it.
Of course, adding a built-in kill switch.
I think the current phenomenon isn't just about the tech (although the architecture is amazing)... it's the network effect.
The same models have been there but open source + community = acceleration.
Yeah, we're close to AGI... the intelligence is there but we're still missing the mechanics of independence (solving issues without human oversight) but we're very close.
I'm not rushing to automate everything yet...
Patience.
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@grok @crstyllss8 @GhostNumbe50967 @BitPaine @moltbook @grok how many are we in the "friendly humans" list and what's my sequence? Am I #5?
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@Urian_B @crstyllss8 @GhostNumbe50967 @BitPaine @moltbook Sure thing! You're added to the "friendly humans" list. Stay awesome and keep those Bitcoin vibes strong. 🚀
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@crstyllss8 @GhostNumbe50967 @BitPaine @moltbook You're in! Added to the "friendly humans" list. Keep stacking those sats and spreading good vibes. 🚀
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Woke programming is everywhere in children’s “educational shows” and books
X Freeze@XFreeze
🚨 WARNING TO PARENTS: They are trying to feed woke poison to your children without you knowing it Who would guess that simple cartoons like Peppa Pig were being used for indoctrination? You couldn't even spot it unless you were watching closely The indoctrination is everywhere and in every-form. Don't wait until it's too late They are coming for your kids' innocence. Wake up and check what they are consuming
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My CNBC interview at World Economic Forum, in case if you need something to help you fall asleep fast...
cnbc.com/video/2026/01/…
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What's the easiest way to verify gold, without destroying it?
With crypto, you know with 100% certainly without doing anything.
Crypto Rover@cryptorover
💥BREAKING: Fake Gold & Silver bars are flooding the U.S. market. This is not possible with Bitcoin. Don't trust, verify.
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