Deberías proteger tu capital. Refúgiate en acciones, Bitcoin/Tao, oro y sector inmobiliario. Una hiperinflación desmesurada va a empobrecer a la población que no posea activos duros.
BREAKING: President Trump says higher US inflation will "pay off" US debt "very rapidly" in response to total US debt rising above $40 trillion.
"I know I'm the best in the world... you can pay off the debt through other means. But the one thing that you can do is pay it off through growth, and we've never had growth like this," Trump said.
US Treasury yields hit a new high of the day after the statement.
Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. https://t.co/z5T88Orble
For my first post, I’m sharing a letter @NVIDIA signed on why open models matter.
AI will transform every industry, power every company, and be built by every country.
Open models strengthen safety and cybersecurity, accelerate innovation and diffusion, and enable sovereignty.
The world needs both frontier closed models and frontier open models.
https://t.co/AUKzoQ5Ikb
@arnaupinto_ Te se hechará de menos Arnau. Quería darte las gracias por todo el trabajo hecho. Cada día cenaba viendo tus vídeos. Gracias por compartir tus conocimientos y ayudarnos a aprender tanto.
Te deseo muchísimos aciertos y ojalá podamos volver a verte en un tiempo. ¡Hasta pronto!
🚨 Most people completely missed what just happened with $TAO's @QuasarModels SN24
Let me fix that.
Here is who Adaption Labs actually is:
▫️ Co-founded by Sara Hooker (@sarahookr)
▫️ Former VP of Research at Cohere
▫️ Veteran researcher at Google Brain AND Google DeepMind
▫️ Author of "The Slow Death of Scaling" the essay the entire AI research world is quoting right now
▫️ $50M seed round raised
▫️ 60,500 followers of serious AI researchers
▫️ Speaking at Fortune Brainstorm Tech in Aspen this June on fixing the AI stack
▫️ HuggingFace now integrated into their data platform
A Cohere / Google DeepMind veteran with $50M in funding just plugged her adaptive data pipeline directly into a Bittensor subnet.
Read that one more time.
Why she chose Bittensor.
Adaption's entire thesis:
"AI was built for a fraction of the world. Adaption is building it for the rest."
"Everything intelligent adapts. So should AI."
They are betting AGAINST brute force scaling.
They are betting FOR continual learning. Real-time adaptation. Efficiency. Systems that actually evolve.
That is literally what Bittensor was designed to do.
This wasn't a deal. This was thesis gravity.
Sara Hooker didn't pick a Bittensor subnet because someone pitched her.
She picked it because when you believe what she believes:
Adaptive > Static
Efficiency > Scale
Open > Closed
Bittensor is the only network that structurally makes sense.
What Quasar miners are now getting.
State-of-the-art adaptive datasets nobody in decentralized AI has ever had access to before.
High-quality reasoning data.
Long-context training data.
Generalization data.
Pulled from one of the most credentialed data pipelines in the world.
Troy from the Quasar team said it plainly:
"SN24 miners are the luckiest in the world."
And then: "When we said we are going to deliver state of the art, we meant it."
This is the data infrastructure that closed-source frontier labs guard jealously.
Quasar just opened it up to permissionless miners on Bittensor.
The quality bar nobody else has set.
Quasar said something publicly that took courage.
Previous decentralized training runs even SN3's celebrated Covenant-72B were technically impressive but not practically usable because quality was never the core priority.
Quasar is the first team in decentralized AI to say:
Scale is not enough. We are building models people will actually use.
Largest MoE training run in decentralized AI.
SOTA performance as a requirement from day one.
Long-context. Reasoning. Generalization.
Not impressive numbers on a benchmark.
Usable models that compete with GPT and Claude directly.
Now look at the timing.
Sara Hooker is on the Fortune Brainstorm Tech main stage in Aspen. June 8-10. Five weeks away.
The same stage that has hosted the CEOs of NVIDIA, Microsoft, Google, and OpenAI.
The topic: how we get from the AI stack we have to the AI stack we truly need.
She is going to stand on that stage in front of Fortune 500 executives and talk about why the current AI stack is broken.
And Bittensor is now part of her solution.
That is not a podcast comment from Jensen Huang.
That is a $50M-funded research pioneer with Google DeepMind credentials putting Bittensor inside her flagship research partnership before a Fortune main stage keynote.
Every validation raises the bar for the next one.
The pattern is not random.
What this says about where we are.
The AI world is splitting in two right now.
Camp one: scale is everything. Bigger clusters. Bigger checkpoints. Bigger corporate control. Static models. Frozen intelligence. Centralized rails.
Camp two: scale is dying. Adaptation wins. Real-time learning. Efficiency first. Open infrastructure. Decentralized coordination.
Sara Hooker wrote the paper on why camp one loses.
She just joined camp two on Bittensor.
@adaption_ai@sarahookr@sudip_r0y @TroyQuasar
Source: SILX AI blog | Fortune BrainstormTech 2026 | https://t.co/Nkbq5jHbk5
Not financial advice.
Most of you will ignore this. But Bitcoin OGs will get this instantly. 👇
I’ve been around long enough to know how early opportunities feel. When I was accumulating Bitcoin, most people didn’t get it. They called it useless, risky, and said it would never work.
The ones who understood it early didn’t wait for approval, they paid attention, learned, and positioned.
I’m starting to see that same early-stage misunderstanding again with @Bittensor.
This isn’t just another altcoin people trade for quick gains. It’s something deeper. It’s infrastructure being built quietly while most of the market is distracted. Instead of chasing hype, it’s focused on creating real systems around decentralized intelligence.
▪️Decentralized AI networks actually producing value
▪️Real incentives, not fake yield
▪️Subnets competing like startups, but open
What stands out to me is how early this still is. $TAO isn’t just a token you flip, it’s becoming the base layer for decentralized intelligence, similar to how Bitcoin became the base layer for money.
The difference is, this time the market is even bigger. You’re not just looking at finance, you’re looking at AI, data, and computation all merging into one open network.
Most people will ignore it because it’s not simple to understand yet. That’s exactly how Bitcoin looked in the beginning. The same doubts, the same hesitation.
But if you’ve been through one cycle early, you start to trust the pattern. I’m not saying it replaces Bitcoin, nothing does that. But I am saying this: opportunities at this level don’t come often.
Bitcoin was the first time I saw it. Bittensor feels like the next time I’m seeing it early again.
You can study it now while it’s still quiet, or you can come back later when everyone is talking about it and pay a much higher price to understand the same thing.
Bitcoin is now perfectly mirroring this pattern.
After another bull trap and a relief rally, $BTC will dump to $38K.
Save this chart and don’t become exit liquidity.