Gweyn 🦋

Proud owner of some of the rarest #NFTs in the market 🙌💎🔥 Join me on this journey of finding and collecting the most unique and valuable digital assets! #cry

[Gweyn 🦋 @gweynnft]

89% of people thought Tunisia had no chance. Never trust the consensus in these World Cup predictions. I placed prediction https://t.co/GipLptZmrJ

[Dami-Defi @DamiDefi]

MIT JUST REVEALED THE FATAL FLAW IN THE AI BULL CASE.

Everyone keeps saying the same thing:

"AI is limitless." "Scale wins."

"The biggest models will dominate everything."

But a new MIT study suggests the moat may be much smaller than investors think.

Here's why it matters:

The entire AI investment thesis is built on one assumption:

Bigger models = dramatically better models.

That's what justifies hundreds of billions in spending.

That's what justifies trillion-dollar valuations.

That's what justifies the upcoming IPO frenzy.

But MIT found something interesting.

Open-source models are reaching roughly 90% of frontier model performance.

And they're doing it at a fraction of the cost.

Even more important:

The gap keeps closing faster than expected.

This creates a major problem.

If competitors can replicate most of the value without spending tens of billions on infrastructure, then scale stops being a moat.

And if scale isn't a moat...

The entire valuation story changes.

The market is currently pricing AI leaders as if bigger models inevitably become vastly smarter.

Yet some of the field's biggest names are starting to question that assumption.

OpenAI co-founder Ilya Sutskever recently argued that the era of easy scaling gains is ending.

Meaning bigger may no longer automatically mean better.

That's the real debate nobody is talking about.

Not:

"Will AI change the world?"

It already is.

The question is:

Can frontier labs maintain enough advantage to justify their valuations?

Because if open models keep catching up...

And improvements become incremental rather than exponential...

The biggest risk isn't AI failing.

It's expectations failing.

And markets are far less forgiving when a prophecy becomes a normal business.

That's the flaw investors should be paying attention to.

Not whether AI works.

But whether the moat is real.

Video Cred: BrendanDell (youtube) 🤝

[babyduck | NFT @cyhnft]

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[Alpha Gardeners @alpha_gardeners]

New Year Announcement 💥🧑‍🌾

As we’re heading into the New Year, we’re launching something BIG.

A change that fundamentally transforms how Alpha Gardeners works and takes the ecosystem we’ve been building for over 3 years to the NEXT level.

[Kraken @thekrakenv1]

The legendary $Kraken is famously depicted as a massive sea monster that attacks and devours whales.

hSYqK8wpDuo1fc4YgPHcyaJBXt1eGCC2aqLckQ9pump

[Dami-Defi @DamiDefi]

$BTC just printed a death cross and lost the weekly EMA ribbon, this isn’t “nothing.”

$82k–$98k is the most important range of the cycle and decides everything.

We’re one bad week away from a $69k–$72k $BTC.

$BTC had a big drop when it fell under $98k, and it hit around $82k like we thought it might. (On the daily, we’ve recently gotten a death cross, which adds weight to that downside move.)

Then it had a tiny bounce last week but it wasn't strong at all, and now it's slipping again. (The weekly has also closed below the EMA ribbon)

Basically, that means the rebound was pretty weak and now we're watching to see if a certain support area can hold up or if we just drop lower.

On the daily chart, we had low volume because of holidays and the price filled a gap above and then dropped again. (That daily death cross simply reinforces the caution here.)

The main idea is if we can't reclaim a certain resistance level we lost, then there's a risk we keep sliding to new lows.

If we can get back above that level, maybe there's a chance for a bounce. But if not, it's probably going to dip more. (The weekly close back inside/above the EMA ribbon would be a simple confirmation the tide is turning.)

So what to watch?

If $BTC drops under $82k, then the next big support zone is around $69k to $72k.

That's where the next safety net probably is.

On the flip side, if it somehow climbs back above $98k on a weekly close, then the bearish case kind of fades away and we could see it pushing back up to $110k or more.

Bottom line is as long as we're under $98k weekly, it's kind of a cautious time.

If it breaks under $82k, get ready for the possibility of heading down to around $69k.

[Gweyn 🦋 @gweynnft]

@EternalStarLabs Lets go

[Gweyn 🦋 @gweynnft]

@cyhnft @EternalStarLabs Could this finally be the algorithmic stablecoin model that avoids a death spiral?

[babyduck | NFT @cyhnft]

Algorithmic stablecoins just leveled up!
@eternalstarlabs launching EST & PGT this month with a major upgrade to the Olympus model — powered by a 7×24 Smart Treasury and a dual-token system: $EST for stability & circulation, $PGT for node incentives & growth.
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Stability, innovation, and nonstop treasury intelligence.
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[Gweyn 🦋 @gweynnft]

@DAN137L @cyhnft

[Gweyn 🦋 @gweynnft]

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[Gweyn 🦋 @gweynnft]

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[Gweyn 🦋 @gweynnft]

@SafeShield_X game changer 👀

[Gweyn 🦋 @gweynnft]

@SmartVault_X This is how secure, user-friendly crypto infrastructure should look 🔒🔥

[Gweyn 🦋 @gweynnft]

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[Gweyn 🦋 @gweynnft]

@MedMonitor_AI MedMonitor is redefining what proactive health looks like 📊

[Gweyn 🦋 @gweynnft]

@CryptoTransact_ Technology moves fast, but trust is what sustains it 🤝

[Gweyn 🦋 @gweynnft]

@AITutoring_ This captures the true meaning of personal growth perfectly ✨

[Gweyn 🦋 @gweynnft]

@SmartVault_X Love the focus on peace, not panic 🔐

[Gweyn 🦋 @gweynnft]

@SecretCircle_X Momentum is building, and every fix brings us closer to the finish line 🔥🔥