Morgan Stanley: Retained its forecast for the Federal Reserve to hold interest rates through year-end (no rate hikes).

Michael Gapen said incoming data since the June FOMC meeting has made it "marginally more comfortable" in its no-hike baseline.

🚨The largest gold ETF just bled nearly $10 billion in a single month, one of the biggest outflows on record.

The US holds 48.2% of global gold ETF assets, worth $264.6 billion.

That's leveraged Western money, and right now it's getting purged.

But here's what the panic misses.
The gold isn't vanishing....It's changing hands.

While ETFs bleed, central banks and Asian buyers keep loading up on the physical metal.

Same gold, different owners.
Paper holders out, sovereign and physical buyers in.

This is what a leverage purge looks like.
Weak, speculative hands get flushed, strong hands that hold the actual bars, not paper claims, quietly accumulate.

That's a market transferring ownership from traders to holders.

Outflows like this often mark a bottom, not a top, when physical demand stays firm.

Watch where the metal goes, not just the ETF flows.

The hands holding gold now are the ones that don't sell.

“I would rather earn 1% off a 100 people's efforts than 100% of my own efforts." John D. Rockefeller

Wow, SpaceX just got cooked by Jeff Bezos.

Time to short SpaceX. 👀

🇺🇸 JUST IN: Trump says European countries targeting US tech companies with a Digital Services Tax will be met with a 100% tariff.

Economic warfare between nations has resumed, and in the end, it is ordinary people who will suffer

Until death, all defeat is psychological

This has nothing to do with controlling his vehicle and even less racing over a mountain pass 😂😂😂

🎉 GPT-5.6 Sol is here! Full public release expected soon. Huge leap over Fable 5! 👀

🧠 Major gains in coding, biology workflows, and cybersecurity
⚡ New “max” and “ultra” reasoning modes with sub-agents
🚀 Will run at up to 750 tokens/sec on Cerebras (coming July)
💰 GPT‑5.6: Sol is $5/$30 ✦ Terra $2.50 /$15 ✦Luna $1/$6
📅 Currently in limited preview for trusted partners

OpenAI launches GPT-5.6 and says it is more powerful than Claude Mythos.

This is a new family of 3 models: Sol, Terra, and Luna.

Sol is the most powerful and most expensive.

Terra costs half as much as OpenAI's old top model while performing just as well. Luna is the cheapest and fastest, built for simple, high volume tasks.

OpenAI isn't releasing this to everyone yet.

It's starting with a small group of trusted partners only, and OpenAI says this limited rollout is happening at the request of the US government, before a wider public release in the coming weeks.

OpenAI claims Sol matches Claude Mythos on a cybersecurity test called ExploitBench, while using roughly a third of the computing power Mythos needs for the same task.

During testing, Sol could find security flaws in software and figure out some of the pieces needed to exploit them, but it could not put those pieces together into a fully working attack on its own.

To support its safety claims, OpenAI says it spent the equivalent of over 700,000 high end GPUs worth of computing time trying to find ways the model could be misused or tricked, on top of separate human testing.

It's a tremendous matrix. The best matrix. It has agents like you have not seen before. You would not believe it.

Central banks just bought 15x more gold than they officially admitted.

The buying is real,the reporting is a smokescreen.

The World Gold Council estimates central banks added 244 tonnes of gold in Q1 2026.

But the official IMF data shows only about 16 tonnes of reported purchases.

That gap is enormous.

Roughly 228 tonnes, about 93% of the total, went unreported.

WGC infers the rest from trade data, vault flows, and balance of payments gaps, not official disclosures.

The "15x more than reported" headline is sensational, but directionally it's accurate.

Here's why it matters.

The hidden buyers are mostly emerging market central banks, led by China and Asia.

They're stockpiling gold as a de-dollarization and sanctions hedge, and they prefer to disclose late or not at all.

The pattern is structural, not a blip.
Over 200 tonnes added in 10 of the last 11 quarters.

And it continues even with gold near record highs.

That tells you the buying is strategic, not price sensitive.

When the biggest buyers don't care about price and won't show their hand, that's a powerful floor under gold.

The extinction threat isn’t public AI. It’s AI hidden behind closed doors.

Global Humanoid Robot Suppliers Map 2026

The humanoid race is becoming a full supply chain war.

• 100+ suppliers worldwide
• 50+ humanoid robot companies
• $15B+ projected humanoid market by 2030

➤ North America
Tesla
Figure
Agility Robotics
Apptronik
Sanctuary AI
Boston Dynamics

➤ China
Unitree
UBTECH
AGIBOT
Fourier
XPeng
Leju Robot
Keenon

➤ Europe
NEURA Robotics
PAL Robotics
Aldebaran
Ericsson
iRonCub3

➤ Japan / Korea
Toyota
Honda
Sony
Samsung
Rainbow Robotics

➤ Rest of Asia
Xiaomi
LimX Dynamics
PaXini
Hyundai Robotics

The winners will need more than a robot body.

They need:

• Core components
➝ Harmonic Drive
➝ Nabtesco
➝ MAXON

• Actuators and motors
➝ Siemens
➝ Yaskawa
➝ Inovance

• Sensors and perception
➝ Ouster
➝ Hesai
➝ RoboSense
➝ Sony IMX

• Batteries and power
➝ CATL
➝ BYD
➝ Panasonic
➝ LG Energy Solution

• AI and software
➝ NVIDIA
➝ Microsoft
➝ Google DeepMind
➝ OpenAI
➝ Huawei MindSpore

• Manufacturing and ODM
➝ Foxconn
➝ Flex
➝ Jabil
➝ Pegatron

• Testing and QA
➝ TÜV SÜD
➝ SGS
➝ Intertek
➝ UL Solutions

• System integration
➝ Accenture
➝ Deloitte
➝ Capgemini
➝ SoftBank Robotics

Humanoid robots are not one product category anymore.

They are becoming a global industrial stack.
Hardware. Actuation. Perception. Batteries. AI. Manufacturing. Deployment.

Trump and the US government just handed China the easiest win in the AI race.

60% of companies are already rerouting their AI spend toward cheaper, open-source models - and most of the best ones are Chinese (Qwen, DeepSeek, GLM, Kimi).

US frontier models are now being gatekept by the government AND priced at a premium for only marginal gains in intelligence.

To be fair, this is a genuinely hard spot for the US:

On one hand, you want America to lead AI innovation (especially so that you, as the government, can have access).

But you also want the most powerful models secured and controlled for national security reasons.

The problem is that those two goals are now directly at odds.

Every restriction placed on US frontier models makes the open-source alternative more attractive.

And for now, the best open-source alternatives aren't American.

Going to be very interesting to watch things play out from here.

🇺🇸 Fed's Kashkari says ‘I am concerned about inflation, especially in services.’

$IBRX/USD H2 #Indicator #Signal #Trading #GlobalOneAI

I keep wondering what happens to money in a post labor world.

If AI and robots can produce almost everything cheaper, faster and better than humans ever could, does money slowly lose its power?

At some point, scarcity is the only thing keeping the whole game alive.

$MU $SNDK $WDC $INTC $ASML | Apple lobbies the Trump administration for political clearance to purchase consumer memory chips from Chinese manufacturer CXMT.

The move seeks to ease supply chain constraints after soaring component costs forced recent MacBook and iPad price hikes.

$GEV $CEG $OKLO $LEU $UEC | Microsoft partners with Chevron on a twenty year agreement to power a massive West Texas data center using natural gas.

The colocated Project Kilby plant secures seven GE Vernova turbines to deliver 2.67 gigawatts (GW) of independent electricity.

"The share of tokens used for US models on OpenRouter has collapsed" Bloomberg

On OpenRouter, US model token share fell from around 70% to around 30% in a year.

A clean warning signal.

open-weight Chinese models are becoming capable enough for routine work, cheaper to run, easier to customize, and less dependent on permission from a frontier lab.