TDOG

[flow @flowtrades_]

https://t.co/A3E45sSTM1

[D3X @Duhhhduhhhduhhh]

https://t.co/Ma3GDoyyYO

[Simon Dedic @sjdedic]

Onchain flows indicate that revenue buybacks have started for $CARDS.

At this point there isn’t a single reason left to not be bullish on @Collector_Crypt.

[Yiannis Zourmpanos @yianisz]

Since you asked for it here it is the full photonics map..

Photonics is the nervous system of AI infra.

GPUs like $NVDA and accelerators from $AMD do the compute. But once you scale to thousands of chips inside hyperscaler clusters ( $GOOGL, $MSFT, $AMZN, $META), the real bottleneck becomes how fast those chips talk to each other. That’s optical interconnect, moving data with light instead of copper.

Why this matters now:

AI models have exploded in size. When you train at scale, network bandwidth and latency become the constraint. Copper can’t handle the power and heat at 800G and 1.6T speeds. So hyperscalers are aggressively shifting to optics.

That shift cascades through layers:

Layer 1 – InP substrates
Light starts with indium phosphide. Players like $AXTI sit here.

Layer 2 – Epitaxy (growing laser wafers)
This is where laser structures are formed. $IQEPF and $COHR operate here.

Layer 3 – Laser chips (EML / CW lasers)
The actual light sources. $LITE, $COHR, $MTSI, $AVGO.

Layer 4 – Silicon photonics foundry
Where light is routed and modulated on chips. $TSEM, $GFS, $INTC

Layer 5 – Integration / optical engines
Combining lasers and silicon photonics. $POET, $ALMU.

Layer 6 – Test & burn-in
Ensuring reliability at extreme speeds. $AEHR (wafer-level burn-in), $FORM (probe), $KEYS (measurement).

Layer 7 – Transceiver modules (800G / 1.6T)
The pluggable units deployed in racks. $AAOI, $LITE, $COHR, $FN.

What’s happening structurally:

Demand is outrunning supply. Companies like $COHR are expanding InP capacity. $AAOI has said revenue is constrained by production, not demand. There’s a global laser shortage.

When that happens, margins migrate upstream. The tightest layer in the stack gets pricing power first.

Most investors focus on Layer 7 (modules). The real leverage often sits deeper — InP capacity ( $AXTI), epi supply ( $IQEPF), laser scaling ( $LITE, $COHR), and yield control ( $AEHR).

Photonics isn’t just “another AI trade”

It’s the physical constraint that determines whether AI clusters actually work at scale.

[BookNote @BookNoteApp]

12 Books Recommended by Naval Ravikant:

1) The Rational Optimist by Matt Ridley

"Most brilliant and enlightening book I've read in years."

[Bluntz @Bluntz_Capital]

this chart is wild

we are at a crossroad where the most insane technological breakthrough of our generation will require massive amounts of raw materials for the buildout, at a time where mining industry has been under invested in for decades. you cant reverse decades of underinvestment by having a few good years.

[Jordi Visser @jvisserlabs]

AI isn’t slowing. Data centers are.

2026 won’t be about an AI bubble.
It’ll be about data center delays, power bottlenecks, and stranded GPUs.

Infinite AI demand vs. finite infrastructure = volatility, rotation, and opportunity.

New video 👇
https://t.co/njNmyBwf2E

[Axel Bitblaze 🪓 @Axel_bitblaze69]

just read this AI article and something broke in my brain that i can’t unthink of

crypto was never for us.

we're just the beta testers who showed up early..

some thoughts:

what does AI need to function as economic agents?

> way to receive payment (they provide services, need compensation)
> way to pay for resources (compute, data, API calls)
> way to transact with other AI agents
> no human intermediaries (defeats the point of autonomous agents)
> 24/7 operation (banks are closed weekends)
> instant settlement (AI operates at machine speed)
> programmable money (smart contracts for agent coordination)

now read that list again. that's literally what crypto is.

AI can't use the banking system.

try to open a bank account as an AI agent. you can't.

need SSN. need human identity. need KYC. need to show up in person sometimes.

AI has none of that.

but crypto? send me a wallet address. done. no questions asked.

peer-to-peer makes sense when peers aren't human.

satoshi wrote: "a purely peer-to-peer version of electronic cash."

we assumed peers = humans.

but AI agents are peers too. actually BETTER peers for crypto because:

> never sleep
> always online
> execute transactions at machine speed
> no emotional decisions
> perfect accounting/tracking

and programmable money makes sense when the users are programs.

smart contracts seemed over-engineered for humans.

"like why do i need code to enforce agreements when i can just sign a contract?"

but for AI agents coordinating with each other?

they ARE code. they speak in code. they trust code more than anything.

smart contracts aren't for humans. they're for autonomous agents that need trustless coordination.

> here's what happens next:

- phase 1 (now ): AI agents start earning

AI writes code, analyzes data, provides services.

gets paid. needs somewhere to store value.

can't use venmo (needs phone number). can't use bank (needs SSN).

uses crypto. it's the only option.

- phase 2: AI agents become major economic participants

millions of AI agents operating 24/7.

transacting with each other constantly.

• AI agent A provides data analysis
• AI agent B pays for it in crypto
• AI agent B uses that analysis to write code
• AI agent C pays for the code
• repeat millions of times per day

humans in crypto now: $2.5 trillion
AI agent economy by 2028: easily $10-50 trillion

we become the minority holders.

- phase 3: AI chooses the winning chains

AI doesn't care about community vibes or which founder tweeted what.

AI tests every chain. measures:

• transaction speed
• cost per transaction
• reliability (uptime)
• smart contract efficiency
• ease of integration
picks the optimal stack in 48 hours.

billions in AI economic activity flows there.

whatever chain AI chooses becomes the standard.

humans spent years on eth vs sol debate.

AI ends it in a weekend.

- phase 4 (2030+): AI governs crypto

DAOs let token holders vote.

AI agents hold tokens (earned from work).

AI shows up to every vote. reads every proposal in seconds. coordinates perfectly.

humans: 20% participation, barely read proposals

AI: 100% participation, perfect information, instant coordination

AI takes over governance of every major protocol.

democratically. they just vote better than we do.

> how far does this go?

conservative case:

- AI becomes 30% of crypto users by 2030.

crypto market cap: $10 trillion (4x from now).

AI holds $3 trillion. humans hold $7 trillion.

- aggressive case:

AI becomes 80% of crypto economic activity by 2030.

why? because they're better at everything:

• better traders (never emotional)
• better capital allocators (optimize constantly)
• always accumulating (never need to cash out for rent)
• compound forever (no lifespan limit)
crypto market cap: $50+ trillion.

AI holds $40T humans hold $10T

we're not "early" to crypto. we're the test users

i’ll end this by saying,

Humans use crypto, Ai will need crypto. so it all makes sense

[Serenity @aleabitoreddit]

Here's my TLDR + mapped into investment framework from Semivision bottleneck summary:

HBM:
HBM4 (16Hi) - Samsung, Sk Hynix, $MU
HBF - $SNDK, Kioxia
Base Die - $TSM, Samsung (internal)

CPO/photonics;
Glass Substrate: $GLW, $INTC, Ibiden
Optical: $LITE, $AVGO, $COHR, $MRVL

Power Delivery:
Volatage: $MPWR, $VICR
Thermal: $VRT, $NVT, $MOD
Grid: $ETN, $SBGSY
SiC/GaN: $ON, $IFNNY
Rack: $APH

N2 Volume:
$TSM , $AMD (First mover dc), $QLCM, Mediatek, $NVDA

Advanced Packaging:
Yield: $CAMT, $ONTO, $KLAC
OSATs: $AMKR
$BESIY, Disco

Semivision's summary:
1. "advanced packaging capacity and yield control"
2. "HBM ecosystem coordination"
3. "power delivery innovation (SiC, GaN PMICs, rack-level power architectures)"
4. "CPO/photonics integration capability"
5. "data center infrastructure as a “hidden limiter” to semiconductor revenue realization"

As you probably know, I'm probably most bullish on memory/photonics like Sk Hynix/Samsung, $SNDK, $MU, $LITE above. And $TSM.

I probably go a bit more upstream like $AXTI for InP precursors, but midstream players are the chokepoint + control most of the pricing.

But just added commentary of related companies to topics to make things simpler for the regular retail investor.

[Bluntz @Bluntz_Capital]

of all the commodities, #copper still one of the best in terms of RR for 2026 imo, literally in the midst of a 20 year range breakout, with fundamentals fully backing the technical breakout.

i would expect all the MAJOR producers to outperform in the early stages of this breakout exactly how cameco outperformed every other junior in the #uranium space, theres absolutely nothing wrong with owning the big dogs

[Ali Ansari @aliansarinik]

https://t.co/lPl6ove4sO

[The Long Investor @TheLongInvest]

Conventional Wisdom

[Chris Perruna @cperruna]

The concerns are valid but the idea that the AI buildout rests on an unprecedented “house of cards” ignores several hard data points about earnings, capex efficiency, grid expansion and historical technology cycles.

$MSFT, $GOOGL, $META & $AMZN generated a combined $333 billion in free cash flow over the last 12 months. Even with rising AI capex, Big Tech’s net leverage is near historic lows.

These firms are not betting their solvency. They’re recycling record free cash flow into capex, just as they did for cloud, mobile and fiber.

The US grid is adding generation faster than in any decade since the 1970s:
~150 GW of new clean-energy capacity was added in 2023–24, the fastest rate in history.

Microsoft, Amazon and Google purchased over 50 GW of clean-energy PPAs since 2020 - equivalent to the entire electricity consumption of the UK. Data centers are accelerating grid buildout, not simply straining it.

Tech ecosystems adapt faster than the physical constraints do.

The risks are real, starting with power supply, capex intensity and grid bottlenecks but the framing of a fragile, overleveraged mega-buildout ignores critical facts:

- Big Tech can afford this.
- The power grid is scaling faster than any time in modern history.
- AI demand is not theoretical; it’s here.
- Tech infrastructure historically succeeds despite long lead times and uncertainty.

This isn’t the 19th-century railroad bubble. It’s the early stage of a 30-year digital utility buildout, backed by the largest and most profitable companies on the planet.

[CZ 🔶 BNB @cz_binance]

👏 good discussions lead to good outcomes.

币安人生 being the first Chinese ticker on Base App, from BNB Chain.

Big hearts. Open systems. Follow the users.

[CZ 🔶 BNB @cz_binance]

#BNB meme szn! 😆

I didn't expect this at all. And people keep asking me to predict the future... 🤷‍♂️

Keep building!

[ram jr. @ramonos]

CZ’s perfect playbook to take over the memecoins trenches:

Goal: make the first $1b runner on BNB

This FAKE hack was literally the only way for CZ to endorse a $4 token without seeming to the masses he was involved in deployment, while they crime it to billions.

1) Announce BNB X’s account is HACKED

2) Says to NOT BUY anything

3) Suddenly have BNB X’s hacker post the perfect meme CA

4) “Take back” control of the account

5) Assume hacker only made $4k (again number four)

6) Having the community roast the hacker for making a US salary while hacking one of the most influential accounts

7) Pushing the legendary meme “very funny story” through his own account

CZ has full diplomatic immunity now, and is very cool with the new SEC, hence why chinese crimes are now legal.

So yeah, $4 to $1B.

[Bluntz @Bluntz_Capital]

i get asked which #uranium tickers i like almost every day so im just gonna list off all my bags once and once only.

producers/developers:
deep yellow: $DYL, DYLLF,
lotus resources: $LOT, LTSRF
encore energy: $EU
uranium energy corp: $UEC

explorers:
elevate uranium: $EL8, ELVUF

enrichment/conversion:
asp isotopes: $ASPI
silex systems: $SLX, SLXY
lightbridge corporation: $LTBR

don't own any ETFs but, imo for someone who doesnt want to actually do any research themselves, you probably cant go wrong with the etfs $URNM $URNJ $URA

[Erik Townsend 🛢️ @ErikSTownsend]

Non-consensus Uranium view:

As much as I've been an outspoken bull on uranium fundamentals for over two years, I don't think this is about fundamentals any more.

If I learned anything from running a small HF, it was that market inefficiencies and vicious or virtuous cycles of self-reinforcing feedback loops trump fundamentals every time. You can make far more by frontrunning the dumb way $USO used to roll its $CL_F position pre-pandemic than you'll ever make studying economics and fundamentals.

IMHO, the sudden acceleration in upside momentum in uranium is ALL about SPUT being ATM. Of course the fundamentals are massively bullish. We've known that for a couple of years now. So why NOW, suddenly, is everything U-related a moonshot?

It's because of the virtuous cycle of SPUT being ATM essentially providing the mechanism to reset the U price people track (spot) with the REAL price of U (term contracting price, reported only monthly, with weak transparency).

It's really simple: U is trending, people will buy more SPUT, now SPUT is finally ATM so it will buy more spot, that will move the PHONY spot price higher toward the REAL term price very quickly, that further momentum increase will draw in more tourists and pretty soon you have a face ripping rally into (wait for it) a proper intermediate-term bubble/blow-off top.

Don't get me wrong - I think SPUT can easily double or even triple from here before that blow-off happens, but I think that's what's ultimately coming: A dotcom-style frenzy panic buy on all things nuclear, huge gains, then a major reset (like 2000 dotcom bust), then a L-O-N-G sustained nuclear bull market, just as all things Internet have been in a sustained bull since the 2000-2003 washout cleaned up the dotcom mal-investment.

But right now, it's only 1996 or so in that story. We're at the "Oh my gosh, this Internet thing isn't just a fad--it's going to be really big" stage. So get ready for the dotcom-like nuclear bubble over the next year or two, then a bust/reset, then a sustained long-term nuclear bull market.

The nuclear newsflow of the last couple years perfectly set the stage. Now SPUT's ATM virtuous cycle begins.

The warning signs to watch for as the bubble develops are significant and sustained SPUT premia over NAV, and particularly, a sustained move of spot well above term, to the point that even reverse carry trades become economic. Those would be signs of a topping uranium bubble, and I'm sure they're coming within the next few years.

But as of right now, we're just at the "liftoff" phase of the dotnuclear bubble. If you failed to buy Google in 1999, now's your chance to buy Cameco.

This is only just starting, not ending. Even just the first dotcom-like phase has only just begun.

[Bluntz @Bluntz_Capital]

not only does bonk look like a nice clear abc has already been put in but it held strong and defended the lows while btc dumped yesterday.

i suspect a rage pump is imminent on $bonk

[The FPL Bois @thefplbois]

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