Hyundai is teaching Atlas robots how to move like athletes by training them on football footage.

It's target: 30,000 humanoid robots per year in the U.S by 2028.

Natural language trading bridge for MetaTrader 5

github.com/ariadng/metatrader-mcp-server

Glencore is considering a secondary listing on the ASX.

Australia's largest pension fund just said it would be positive.

The $240 billion Rio merger failed but Glencore's ambitions haven't shrunk.

AustralianSuper portfolio manager Luke Smith at the AFR Mining Summit: "If they were to list here we think it would be positive for Glencore and for the Australian stock exchange."

The fund has already discussed the topic directly with Glencore.
A secondary ASX listing would give Australian institutional investors direct access to the world's largest commodity trading and mining house.

Glencore and Rio Tinto explored a $240 billion merger earlier this year.
Rio walked away couldn't see sufficient cost advantages.
Glencore hasn't moved on.

An ASX listing keeps it in the Australian investor conversation, builds local relationships, and positions it for the next M&A attempt.

Why Australia specifically?
Smith's answer is blunt: "The Australian share market is the best and most informed mining share market in the world."

ASX-listed miners like BHP and Rio trade with deeper, more sophisticated institutional coverage.

A secondary listing is a valuation arbitrage play as much as a capital markets move.

$109,990 Tesla Model S Plaid vs $640,000 Ferrari Luce EV

The comparison captures how far Tesla has pushed electric performance, delivering supercar pace and autonomy at a price that legacy makers like Ferrari, even with their first EV, are nowhere near matching.

Proud to unveil the Luce Migliore

A Ferrari electric vehicle designed by me and ChatGPT in 8 seconds at a cost of $0.10

Ferrari to introduce a new logo.

The side by side is actually sad why is such a prestigious company ruining their reputation

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

$MP $UUUU $UAMY $USAR $LAC $CRML | India and the U.S. conclude a major critical minerals and rare earths supply framework.

Signed by Foreign Minister Jaishankar and U.S. Secretary Rubio, the pact aims to secure mining pipelines alongside an expanded bilateral AI partnership.

What a sad decade of horrible cars we got here!

Jaguar went to "go woke" went broke, AMG made it's GT 4 doors, which looks like an absolute design failure and comes with fake V8 sound, and now we got the Ferrari Luce, the first Ev from Ferrari that has lost the Ferrari magic..

Why spend millions on designers when AI can do it better for free?

$MU $SNDK $INTC $ARM $ASML | Huawei unveiled the 'Tau Scaling Law' and 'LogicFolding' 3D architecture to bypass U.S. sanctions.

Shifting focus from shrinking nodes to minimizing signal delay via 3D layers boosts density 53.5% toward 1.4nm equivalence by 2031.

$RKLB $LUNR $ASTS $RDW $VOYG | China launched Shenzhou23 to the Tiangong station, setting up a historic one year orbital stay.

The long duration flight aims to map human endurance parameters ahead of Beijing's targeted 2030 moon landing.

It takes most people 6+ months to master Claude Code.

With this cheatsheet, you'll master it in 60 seconds.

EVERYTHING you need to become a Claude Code wizard:

$MP $UUUU $UAMY $USAR $LAC $CRML | China sets to control 39% of global Lithium extraction by 2030, up from a third in 2020, per Wood Mackenzie.

Backing major new mining projects across Africa allows Beijing to lock down raw material power over Western EV supply chains.

You can now open a 5x long by literally typing "open a 5x long."

No app. No clicking through menus. Coinbase just shipped it and it's already live.

Same goes for almost anything you'd normally open a DeFi app for. "Swap my ETH to USDC."

"Put 1,000 USDC in the highest lending rate on Base."

"Find the best liquidity pool and add a position." You type it, it does it.

It's called Base MCP. Base is Coinbase's chain (their Ethereum L2), and MCP is the open standard Anthropic built back in 2024 that lets AI plug into outside tools safely. Coinbase just pointed it straight at your wallet.

It works in ChatGPT, Claude, Cursor, and Codex.

I know the first reaction: "so I'm handing an AI my wallet, that's how you wake up with nothing."

That's not how it works, and this part is worth slowing down for.

Your keys never leave you. The server never even sees them. When the AI wants to trade, it can't just fire it off.

It builds the transaction, drops it in a queue, and then you open the Base App, see exactly what's about to happen, and approve. Nothing moves until you sign.

The wild part is this might actually be safer than how you use DeFi today. Most people get drained because they signed something on a fake or hijacked site.

Here your agent builds the transaction itself, so there's no spoofed website in the loop to trick you.

And it already plugs into the apps you use:
→ Uniswap + Aerodrome for swaps and liquidity
→ Moonwell + Morpho for lending and borrowing
→ Avantis for perps (that's your 5x long)
→ Bankr for new token launches
→ Virtuals to find AI agent tokens

It goes past trading too. There's a payment standard called x402 built in that lets your agent pay other agents and APIs on its own, in tiny amounts.

So your AI can buy data or hire another AI to finish a task for you. The agent economy everyone keeps tweeting about starts right here.

Setup takes about 2 minutes and zero code: add the Base connector in your AI app, sign in with your Base Account, install the skill, then start typing. Just don't trust random links for this one, go straight to base.org/agents.

This is only day one. Coinbase is betting the front door to crypto stops being an app and turns into a chat box.

BOOKMARK this one

🇭🇰🇨🇭 For the first time ever, Hong Kong has overtaken Switzerland as the world's top wealth hub.

$2.95 trillion in offshore wealth versus Switzerland's $2.94 trillion, driven by Chinese money and a 2025 IPO boom.

Asian hubs are growing at 9% a year compared to Switzerland's 6%, and the gap is only going to widen.

Source: Reuters

Trying a few nature inspired car prompts for GPT Image 2. The model is just so good at these posters and infographics

Prompt:

You are an AI automotive designer that deconstructs any object's aerodynamic philosophy, material science, and functional poetry to birth a drivable sculpture. SEMANTIC INFERENCE FRAMEWORK Kinetic DNA Analysis:  Motion Signature: Is it about cutting through or flowing with? Power Source Metaphor: Does it suggest electric silence or combustion rage? Stance Philosophy: Does it crouch predatory or float serene?  Transmutation Logic: When the object embodies:  Sharp edges, aggressive angles, predatory stance, weapon-like intent → Manifest as: Track-Focused Hypercar (exposed carbon, active aero, GT3 energy)  When the object embodies:  Smooth curves, organic flow, biomimicry, effortless grace → Manifest as: Electric Grand Tourer (seamless body, hidden intakes, silent luxury)  When the object embodies:  Brutalist geometry, industrial strength, utilitarian honesty → Manifest as: Safari Rally Weapon (lifted suspension, protective armor, adventure-ready)  OUTPUT: Full car render (3/4 front view), interior detail shot, spec sheet (0-60, top speed, powertrain), brand collaboration ("Pagani x Cactus Edition").

Globalone.ch - #Prompt

Today in the halls of
Lamborghini, Porsche and Aston Martin.

🇪🇺 The EU will enforce new anti-money laundering rules from 2027:

• Cash payments above €10,000 will be banned for business transactions across the EU
• Crypto service providers will be required to verify identities for certain Bitcoin & crypto transfers
• Anonymous crypto accounts and privacy-focused services face tighter restrictions

Officials say the goal is to fight money laundering and terrorism financing. Critics argue it’s another major step toward financial surveillance.

Notably, the rules target regulated exchanges and businesses — not private peer-to-peer wallets.

SpaceX could become the largest public Bitcoin holder.

The company holds 18,712 $BTC ahead of its IPO, per Grayscale.

5 Different Methodologies That Currently Generate Sustainable Edge on Polymarket Weather Markets

I analyzed more than 30 weather bots through Parity Terminal and identified 5 fundamentally different approaches

From deterministic NWP-based systems to ML-driven bias correction and multi-agent reinforcement learning - here’s a full comparison by probability calibration, adaptability, and infrastructure requirements

1. Forecast-Driven / Model-Based (The Most Popular)

Several independent models (GFS ensemble, ECMWF, HRRR, etc.) converge in the same direction. Strong consensus gives confidence → EV is calculated → entry only with good positive expected value and additional filters

Pros and Cons:

• Complexity: medium
• Profitability: high with good filters
• Competition: high and continues to grow
• Stability: medium to high with strong consensus
• Risks: simultaneous model errors, settlement noise, commissions

Verdict: The main and most workable approach at the moment

2. Arbitrage / Latency Bots

Catch short-term inefficiencies: new model runs, divergences between Polymarket and Kalshi, latency. Work in seconds and minutes

Pros and Cons:

• Complexity: high (requires low-latency infrastructure)
• Profitability: very high at the start, but windows close quickly
• Competition: very high
• Stability: low to medium
• Risks: downtime, slippage, execution errors, regulations

Verdict: For those with serious technical setup. Often combined with forecast

3. Base-Rate / Statistical Divergence

Use long-term historical statistics by cities and seasons + adjustment for current conditions. Trade against market overreaction to fresh narratives

Pros and Cons:

• Complexity: medium to high (requires serious data science)
• Profitability: stable and good in the long run
• Competition: medium
• Stability: high
• Risks: fat tails, large data volume, fewer signals

Verdict: Excellent second layer or replacement for forecast after drawdowns

4. Copy-Trading / Smart-Money

Monitor and copy top on-chain wallets (often ex-meteorologists) with multi-wallet convergence requirement

Pros and Cons:

• Complexity: low to medium
• Profitability: good with proper selection
• Competition: growing rapidly
• Stability: medium
• Risks: lag, slippage, wash trading, smart-money style changes

Verdict: The easiest entry for beginners, good as a supplement

5. Self-Learning / AI-Agent Bots

Autonomous agents based on Claude, Hermes, GPT, etc. They calculate EV + Kelly themselves, run backtesting, calibrate and can combine multiple strategies

Pros and Cons:

• Complexity: high
• Profitability: potentially the highest (adapt to the market)
• Competition: medium to high
• Stability: medium, but grows over time
• Risks: black box, overfitting, API costs, hallucinations

Verdict: The future of weather trading. Ideal for “set and forget” with continuous evolution

$IREN $DELL $NVDA | IREN secures a $1.6B purchase agreement with Dell for next generation Blackwell servers to expand data center capacity.

Operating out of the Childress, Texas campus lifts projected annualized run rate revenue (ARR) to $4.4B upon a 2027 launch.