BITTENSOR RALLIES ON AI POLICY SHIFT
Bittensor $TAO jumped 17% as the U.S. moves to suspend foreign access to Anthropic’s Fable 5 and Mythos 5.
Investors see the restrictions as a boost for decentralized AI networks like Bittensor, which aren’t dependent on a single company or government approval.
📢 95% of ultra high-yield ETFs are trash!🗑️ (in my opinion) ⛔️
But the remaining 5%? That’s where the real opportunities are! 👀
Here are 10 ultra high-yield ETFs I'm either buying or keeping a close eye on (15%–59% yields)
*Save this list for later!* 🔖💸👇
1000 shares of $NVII will cost you about $27,000.
It will pay you $590 in dividends this week… and it pays you every week.
Typically you’re looking at about 42% or $218 per week.
On the low end that’s $872 per month.
Yes I’ll take high yield over real estate any day.
Awesome. NVIDIA dropped PiD - fast high-res latent decoding via pixel diffusion!
- replace VAE
- 4/8x upsampling
- 2k decoding in <1s on RTX 5090
- works with FLUX.1/SD3/Z
- rapid generation previews
sharper details, much lower hardware lag compared to standard methods.
https://t.co/60Pkqze0gR
AI anime storytelling is crazy now
I used ChatGPT Image 2.0 to create an entire anime short film storyboard.
Then Seedance 2.0 turned it into a cinematic animated scene in minutes.
step by step tutorial with prompts: 👇
🚨 A new ETF just filed that’s a pure bet on the photonics buildout: $LYTE
📈Roundhill - Same ETF shop that ran $DRAM to $1B AUM at fastest clip. Now- Photonics & Optics ETF. Holdings not disclosed yet.
But the prospectus tells you exactly what’s getting in — if you read the fine print, let me break it down for you🧵
Here’s the part that matters : there’s one hard rule in the filing:
⛔️A company needs ≥50% of revenue from photonics/optics to qualify.
That single number tells you who’s in and who’s out. 👇
✅ CLEARS the 50% bar (the pure-plays):
$LITE — optical transceivers, 1060nm VCSELs
$COHR — lasers + optical components
$AAOI — datacenter optics
$POET — silicon photonics interposer
$IPGP — industrial fiber lasers
$CIEN — optical interconnect systems
$CRDO — AI interconnect
$SIVEF — InP lasers & Optic components
These are the core of the fund.
The sleeper angle nobody’s talking about: 🇨🇳
The prospectus explicitly builds in Chinese exposure — China A-Shares + VIE structures.
It says outright: the fund “invests significantly in the securities of Asian issuers.”
A US-listed photonics ETF with deliberate mainland exposure. Unusual.
Why that matters??
Some of the most aggressive optical-component scaling is happening in Asia.
$LYTE isn’t ignoring it — it’s writing A-shares into the strategy doc.
That’s a geographic edge most US investors won’t have on day one
Bottom line:
$LYTE = the first pure-play photonics ETF
↳ 50% revenue screen = real pure-plays only
↳ Pure-plays in, conglomerates out
↳ Built-in Asia/China exposure 👇
Holy shit.
Someone just open-sourced a financial brain.
It’s called Dexter.
→ Finds undervalued stocks
→ Breaks down entire businesses
→ Builds full investment theses
For free.
Wall Street interns? Optional now.
Repo: https://t.co/t39DCKMqA8
Those who listen will become MILLIONAIRES.
Once the AI hardware rotation slows down…
power will still need to grow exponentially.
Here’s the AI Power Super cycle that RETIRES you:
1. Layer 1 Fuel & Natural Gas Supply
(the energy feeding the AI boom)
• $EQT - largest U.S. natural gas producer
• $KMI - gas pipelines + infrastructure
• $WMB - natural gas transport + LNG
• $ET - massive U.S. energy network
2. Layer 2 Onsite / Fast Deploy Power
(the real near-term bottleneck solution)
• $BE - Bloom Energy fuel cells
• $GEV - gas turbines + power systems
• $CAT - backup generators
• $CMI - power generation systems
• $KGS - gas compression + mobile power
• $TE - solar + microgrid exposure
3. Layer 3 Grid & Electrical Infrastructure
(the hidden AI winners)
• $ETN - electrical systems
• $PWR - grid buildout
• $VRT - cooling + power management
• $HUBB - transformers + grid equipment
• $NVT - electrical infrastructure
• $EMR - industrial power systems
4. Layer 4 Nuclear & Long-Term Baseload
(the future AI power source)
• $OKLO - advanced nuclear
• $SMR - small modular reactors
• $NNE - portable microreactors
• $CEG - largest U.S. nuclear fleet
• $VST - nuclear + power generation
• $BWXT - reactor components + services
Here is how it breaks down.
AI models get larger. Data centers get bigger.
Energy demand keeps accelerating.
🚨 Leopold’ Situation Awareness portfolio shows AI can’t scale without energy. And the cleanest, fastest path forward isn’t oil. It’s nuclear, solar, hydrogen, and grid-scale storage 🔋
💸Hyperscalers will spend $1T+ in 2025–26 on AI buildout. But here’s the problem: US data center demand is projected to hit 74 GW by 2028 — with a 49 GW power shortfall.
🔋:
This is why I created the Virtual Green Energy Basket 👇
1/ Bloom Energy $BE — 10.00%
Solid oxide fuel cells deployed directly at AI data centers.
Bloom skips the grid bottleneck entirely — on-site, 24/7 power for hyperscalers who can’t wait years for utility hookups.
2/ NextEra Energy $NEE — 9.00%
Largest US renewables operator + nuclear restart story (Duane Arnold).
$NEE sits at the exact intersection of AI power demand and clean baseload. The picks-and-shovels utility for the AI energy decade
3/ General Electric $GE — 8.10%
GE Vernova spinout owns the turbine and grid backbone the AI buildout depends on. Multi-year backlogs in turbines, transformers, and grid equipment. You can’t build a data center without GE’s hardware.
4/ Cameco $CCJ — 8.10%
Pure-play uranium producer riding the nuclear renaissance. Every SMR deal, every reactor restart, every hyperscaler nuclear PPA pulls uranium demand forward. CCJ owns the fuel.
5/ First Solar $FSLR — 7.65%
Only major US-based solar panel manufacturer. Thin-film cadmium telluride tech, full domestic supply chain, locked-in IRA tax credits.
Hyperscalers need clean PPAs — $FSLR delivers them at scale.
6/ Enphase Energy $ENPH — 7.20%
Microinverters + battery storage for distributed solar. The brain of residential and small commercial solar systems. Recovery play with margin leverage as rate cuts revive solar demand
7/ SolarEdge $SEDG — 6.75%
Power optimizers and inverters competing with Enphase. Higher-risk turnaround, but levered to any rebound in global solar installation cycles.
Deep value if execution holds.
8/ Brookfield Renewable Partners $BEP — 6.30%
26 GW operating portfolio across hydro, wind, solar, storage. Long-duration contracted cash flows + Brookfield’s capital allocation engine.
The blue-chip way to own the energy transition
9/ Algonquin Power &Utilities $AQN — 6.3%
Regulated utility + renewables hybrid. Restructuring story, but pays a yield and owns critical North American grid infrastructure. The defensive sleeve of the basket.
10/ AES Corp $AES — 5.40%
Building dedicated renewable PPAs for hyperscalers — Google, Microsoft, Amazon are direct customers.
11/ Uranium Energy Corp $UEC — 5.40%
Pure-play US uranium producer with ISR (in-situ recovery) projects. Geopolitical bet: as the US weans off Russian uranium, domestic producers like UEC capture the premium
12/ BWX Technologies $BWXT — 4.95%
Nuclear components for US Navy + commercial reactors + SMR manufacturing. The pick-and-shovel small modular reactor play. 45 GW of SMR offtake pipeline now in motion — BWXT builds the hardware.
13/ NextEra Energy Partners $NEP — 4.50%
NEE’s YieldCo arm. Contracted renewable cash flows with high yield, though distribution growth has been reset. High-risk, high-reward income play tied to NEE’s pipeline
14/ TransAlta $TAC — 4.05%
Canadian power producer transitioning from coal to wind, hydro, and gas. Alberta exposure + AI data center buildout in Canada makes this an under-the-radar regional play.
15/ Ormat Technologies $ORA — 3.15%
Pure-play geothermal — 24/7 carbon-free baseload power. Geothermal is having a moment as hyperscalers (Google, Meta) sign next-gen geothermal PPAs. Small but strategic.
16/ Global X Hydrogen ETF $HYDR — 3.15%
Diversified hydrogen exposure — fuel cells, electrolyzers, infrastructure. Optionality bet on hydrogen as a long-duration storage + industrial decarbonization vector.
🚨 BREAKING: Google Gemini can now analyze any stock like a Wall Street analyst (for free).
Here are 10 insane Gemini prompts that replace $4,000/month Bloomberg terminals:
(Save this 🔖 you’ll need it later)
Formation complète Claude Code : 13 HEURES.
J'ai cherché partout. Rien de comparable n'existe.
Gardez-la précieusement en signet 🔖
De A à Z :
- CLAUDE.md : comment donner une mémoire long terme à Claude sur ton projet
- App complète : React frontend + Python FastAPI backend
- Skills : workflows réutilisables déclenchés en une commande
- Hooks : automatisations en arrière-plan
- MCP : connecter Claude à GitHub, browser, outils externes
- Sub-agents et systèmes IA spécialisés
- Agent teams en parallèle
Le tout sans écrire une seule ligne de code.( J'ai transcrit en français )
À la fin : tu utilises Claude Code comme un pro et tu monétises tes compétences.
Débutant ou avancé, tout est là en un seul endroit.
Ça vaut plus que tous les cours à 500$ que t'as failli acheter.
Formation complète Claude Code 6 HEURES.
La formation Claude la plus complète d'internet.
Gardez-la précieusement en Signet 🔖
de A à Z : configuration, création de workflows, déploiement de sites web, création d'équipes d'agents, automatisation du navigateur, recherche de clients et tarification de vos services.
Le tout sans écrire une seule ligne de code.
À la fin : vous utilisez Claude Code comme un pro et vous monétisez vos compétences.
Débutant ou avancé, tout est là en un seul endroit, ce cours couvre tout.
Ça vaut plus que tous les cours à 500$ que t’as failli acheter.
A 15B-parameter model trained on @affine_io is outperforming GPT-OSS-120B on 2 of 3 key benchmarks.
8× more parameter-efficient.
The person who posted it in Discord with "yall are crushing": @const_reborn Bittensor's co-founder.
Our deep dive on what that means ↓
https://t.co/zfrMeDCv7Q
$tao #bittensor #dtao