How it feels saying 'what doesn't kill you makes you stronger (you still fail in the end but at least you try)

President Trump says Iran called the U.S. to continue talks but he told them “the Cease Fire is OVER.”

1X just introduced a new 25-DOF tendon driven hand for its NEO humanoid robot built to handle the small, contact heavy tasks that usually expose the limits of robotic manipulation.

The architecture combines 22 fully actuated degrees of freedom across the fingers and palm with 3 DOF at the wrist.

Low-ratio tendon drives, roughly 5:1 to 15:1, keep the joints fully backdrivable. When a finger touches an object, the contact force can travel back through the transmission instead of being lost inside a high-ratio gearbox.

Key specifications released by 1X:

• 25 total degrees of freedom
• 22 actuated DOF in the fingers and palm
• 3 DOF wrist
• Up to 45 N distal finger force
• 17.75 Nm wrist torque
• ±0.2 mm positioning accuracy
• Pressure, contact-location and shear sensing
• Real-time slip detection
• IP68 sealing
• Food-safe materials
• Wrist testing beyond 2 million high-load cycles

The motors are positioned inside the forearm and pull proprietary tendons through the wrist.

This reduces mass in the fingers while preserving grip force, compliance and fast motion.

1X demonstrated the hand assembling LEGO, picking up screws and coins, installing a light bulb, operating a screwdriver, plugging in USB-C, zipping a jacket, handling a wine glass, pouring tea and catching a soft ball.

The important detail is sensing. NEO does not rely only on cameras. Its tactile skin measures normal force, contact position and shear across the fingers, allowing the control system to detect an object beginning to slip and adjust the grip.

1X says hundreds of these hands have already left its production line and that it has capacity to manufacture 10,000 units this year.

These are the hands planned for every NEO robot.

Muse Spark 1.1 is actually insane.

Never count $META out.

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

I've been trading memecoins on Robinhood for the last hour and I'm down $50.

What went wrong???

Bad tech probably 😂

Here's the plan Jerry. We get the warhead and we hold the world ransom for... ONE BILLION DOLLARS!

Japan’s MicroStrategy Metaplanet Eyes Bitcoin-Backed Digital Credit

Japan’s MicroStrategy Metaplanet announced a feasibility study with JPYC, Progmat and its securities subsidiary to explore Bitcoin-backed digital credit products. The initiative aims to combine BTC collateral, stablecoins and tokenization infrastructure for 24/7 issuance, settlement and interest payments. No issuance details have been finalized.

Multi-Model Weighting on Polymarket Weather: How to Properly Weight ECMWF, GEFS and HRRR for Maximum Edge

Most traders take a simple average of all models and think that’s good enough

Top accounts weight models differently - depending on city, lead time, and season

This is one of the most underrated ways to improve your probabilities

> Why Blind Average Performs Poorly

- ECMWF is often stronger on 48–72h horizon
- HRRR / GEFS shine on short horizons (0–36h)
- The same model can have very different skill in different cities
- Summer and winter biases change

Simple averaging smooths out strengths and amplifies weaknesses

> How to Do Weighting Properly

Start simple and scale up:

1. Basic approach (good for starters)

Build a static table: for each city and horizon assign higher weight to the historically strongest model (e.g. HRRR for D+0 in US cities, ECMWF for D+2)

2. Better approach (recommended)

Use dynamic weighting based on recent performance - last 30–60 days accuracy per city. The model that performed best lately gets more weight

3. Pro level

Implement stacking or Bayesian weighting - a small meta-model that learns the best combination on the fly

Even moving from equal weights to a simple per-city table already gives a noticeable lift in probability accuracy

> Real-World Impact

On narrow 1–2°C buckets, proper weighting can shift a bucket’s fair probability by 6–12%

That directly means more +EV trades and higher win-rate.Many consistently profitable bots use weighted ensembles instead of raw averages

If you’re still giving equal weight to every model - you’re leaving one of the cleanest repeatable edges on the table

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

OpenAI is by far the best AI company right now.

The merger of Codex, ChatGPT, and ChatGPT Work is the real breakthrough. Not just better models, but one system that can think, build, organize, and actually get work done.

That’s the harness for the future.

SK Hynix $SKHYV rallied 13% above the US IPO price to $168.

To give you a rough idea what Monday should look like in South Korea, I've added the candlestick the 13% gain from today.

Nasdaq $NDX Update: Looks like we're setting up perfectly for a big jump in indices next week, lining up with a big earnings week.

If this happens as expected then it should be a huge gap up on Monday, with markets remaining largely flat for the rest of the week. That will suck retail in so they can sell.

Friendly reminder, the parabolic is now going back in time.

Hermes Agent just killed the $20/month AI subscription model (and for good reason).

You're paying monthly, hitting usage caps, and your agent forgets you every single session.

Here's how to cut your AI costs by 80%+ in under 60 seconds using Hermes:

Step 1. Download Hermes Desktop

Skip the terminal entirely.

Go to hermes-agent.nousresearch.com download the desktop app.

Step 2. Pick a budget model

This is where the savings happen.

Inside the app, swap your default model to DeepSeek V4 Flash (it costs $0.14 per million input tokens and $0.28 per million output tokens).

The same workload on Claude Opus costs roughly 30x more.

Step 3. Switch from gateway to CLI

Running Hermes through messaging apps like Telegram or Discord sends 15,000 to 20,000 tokens of tool definitions per request.

The CLI sends 6,000 to 8,000. Same output. 2-3x cheaper per request.

Step 4. Enable the learning loop

Toggle on persistent memory and skill generation.

After 20+ self-created skills, Hermes completes similar future tasks 40% faster, meaning 40% fewer tokens burned.

Costs drop the longer you run it.

Step 5. Set your VPS and forget it

A Hetzner CX22 runs at around $4/month. Your agent runs 24/7, hibernates when idle, and costs nearly nothing between tasks. OpenHosst

Step 6. Test it

Send a research task, build a workflow, anything. Watch it run for cents instead of dollars.

That's it.

A full-budget Hermes setup costs $5 to $10 per month, all-in.

Save this and actually set this up.

JPMorgan spent 8 years manipulating precious metals markets.

Gold, silver, the whole thing.

They got caught.

They paid $920 million in fines.

And no one went to jail.

Now, that number sounds huge, right?

$920 million.

People see that and go, "wow, they really got punished."

But hold on.

Let me show you how this actually works.

During those same 8 years of manipulation? JPMorgan made $50 billion in profit.

The "punishment" was roughly 1.8 cents on every dollar they made doing the thing they weren't supposed to do.

That's not a penalty. that's a licensing fee.

And this is the part that nobody wants to say out loud: when the fine is smaller than the profit, the fine becomes part of the business model.

You do the math, you pay the fine, you keep the rest.

That's it.

I've seen this pattern over and over again.

It's not unique to jpmorgan.

It's how the game is structured at the top.

The rules exist, but they apply differently depending on how big your balance sheet is.

Not saying every banker is corrupt.

That's not the point.

The point is the system itself creates a situation where breaking the rules and paying the fine is simply… more profitable than following the rules.

And here's what gets me: regular people, people like you watching this right now, they get financially squeezed by the exact markets these institutions manipulate.

Your savings, your retirement account, your cost of living.

All of it connected to the same system.

But most people have no idea how any of this works.

They see the headline, they feel vaguely angry, and then they move on.

Because nobody ever explained the mechanics.

So here's my honest advice: stop waiting for the news to explain this to you.
they won't.

Start learning how these institutions actually work, from the beginning, from first principles, so you can see the whole picture for yourself.