I found the cheat code for using Fable 5 without going broke.

Everything you need to know about cutting Fable token spend

The robotics sector is about to completely take off.

Robotics is tracing the exact same growth curve as software AI, just a few years behind.

We are likely entering the beginning of exponential growth for this ecosystem.

At current capabilities, robotics intelligence is at the level of roughly GPT-2.

(Capable, but lacking real-world field deployment)

Things are about to change.

Manufacturing costs and the general robotics cost curve is rapidly declining (Issac is only $8000!).

So bullish on the future of this sector.

Africa isn't scattered geology.... It's the most strategically concentrated mineral map on Earth.

🇨🇩 DRC: cobalt + copper giant

🇿🇲 Zambia: copper belt

🇿🇼 Zimbabwe: lithium surge

🇳🇦 Namibia: uranium + lithium

🇿🇦 South Africa: PGMs + manganese

🇲🇦 Morocco: phosphates

🇲🇱🇧🇫🇬🇭 Mali, Burkina Faso, Ghana: gold belts

🇬🇳 Guinea: bauxite

🇸🇱 Sierra Leone: emerging iron ore

Energy transition metals. Battery inputs.
Defense-critical minerals.
Concentrated on one continent, not scattered across it.
Africa isn't peripheral to the transition it's central to it.

Stop treating Fable 5 like every other AI model.

There are six things you need to know if you want to get the most out of Fable (save this):

1. Run Time

Every Claude model before Fable 5 worked in relatively short bursts.
Claude Fable 5 is meant to sustain output over extended periods to complete multi-day, goal-directed tasks.

This is one of the biggest shifts. Fable 5 is meant for fully autonomous work (paired with /goal or /loop).

2. It Gets Things Right First Time

One of the most reported early observations from people using Fable 5 is how rarely they need to iterate. Early testers reported single-pass implementations of systems that previously took days of iteration.

3. Clarifying Questions

To execute autonomous work loops accurately, Fable 5 may ask a series of clarifying questions before it kicks off its autonomous run.

4. Agent Management

Fable 5 is built to manage multiple parallel subagents at once (spinning up 50+ agents for complex tasks).

5. It "Sees" Better

Claude Fable 5 interprets dense technical images, web applications, and detailed screenshots with substantially higher accuracy.

For anyone using Claude to analyse charts, screenshots, documents, or visual data, the improvement here is meaningful.

6. Coding + Security Audits

It's no secret that Fable is a coding genius. This new model is especially powerful for codebase review and debugging.

$AXTI just finalized a massive 3-year Master Development and Supply Agreement with tech giant $COHR.

To secure production capacity, $COHR is giving $AXTI a $22.28 million upfront cash payment.

This is non-dilutive liquidity that will directly fund the aggressive expansion of $AXTI facility through 2028.

When a company like $COHR pays upfront to lock you in, it is the ultimate validation of your technology.

The agreement focuses on the mass production of 6-inch Indium Phosphide (InP) wafer substrates. InP is the foundational material required for laser components inside next-generation 1.6-Terabit optical transceivers.

As AI clusters grow exponentially, these optical transceivers are non-negotiable to prevent network bottlenecks. $AXTI is sitting right at the bottleneck of the global AI buildout.

Due to strict regulatory export restrictions, the market for high-end wafers is facing severe supply shortages, which previously drove prices up by up to 250%.

By securing $COHR as a primary partner, $AXTI guarantees a massive, high-margin revenue baseline for the next three years, effectively protecting its business model while riding a hyper-growth wave.

Microsoft CEO Satya Nadella's new interivew: Explains how the next AI moat will not be the model you use, but the learning loop only your company can run.

He is really asking what happens to the firm when intelligence becomes something you can rent.

For a century, companies protected value through people, processes, data, routines, customer memory, and the tacit knowledge buried in daily operations.

Foundation models threaten to flatten that advantage because the same general intelligence can be used by everyone.

Nadella’s answer is that firms need their own “hill climbing machine,” a private loop where models learn from company-specific tasks, traces, evaluations, and outcomes.

That means the real asset is not just the model.

The asset is the environment that keeps improving the model in ways competitors cannot copy.

Private evals become strategic memory.

Workflow traces become training signal.

Human judgment becomes a way to steer compounding, not just correct mistakes.

This also reframes AI adoption: a company that only consumes a foundation model may gain productivity, but it may leak the deeper value of its operating knowledge.

A company that builds a disciplined learning loop can turn everyday work into accumulating IP.

The future firm may therefore be measured by how well it converts its unique activity into durable model improvement.

The frontier will not belong only to whoever owns the largest model.

It will belong to whoever owns the best loop.

AI+Robots will be able to do everything, resulting in universal high income. Work will be optional.

Fable 5 is already dead.

Anthropic keeps it in subscriptions only until July 7, then it moves to usage credits. Meanwhile OpenAI is lining up GPT-5.6 Sol for broader access in the coming weeks, at roughly half the API price of Fable 5.

Terminal-Bench 2.1, OpenAI-reported:

GPT-5.6 Sol Ultra: 91.9%
GPT-5.6 Sol: 88.8%
Claude Mythos 5: 88.0%
Claude Fable 5: 84.3%
GPT-5.6 Terra: 84.3%

So Fable 5 gets pulled out of the subscription, while OpenAI drops a cheaper model that beats it or ties it with the mid-tier.

Anthropic is cooked.

AI is still progressing at an insane rate.

Every few months people say we’re hitting a wall, and then the next model, tool, agent or video system casually makes that take look prehistoric.

There is no wall in sight. Just acceleration.

I don't prompt Claude Code anymore.

I have loops running that prompt Fable, and my job is just to write loops.

This is the Boris Cherny method, and I have to say, it's extremely powerful.

Everything you need to get started with loop engineering (as a complete beginner)

ROBOTS DESIGN AROUND THE WORLD

A look at 40 robot designs from industrial arms to humanoids.

INDUSTRIAL ROBOT ARMS

• 🇨🇭 ABB
➝ IRB Series
➝ Built by ABB for factory automation
➝ Known for welding, handling and assembly lines

• 🇩🇪 KUKA
➝ KR CYBERTECH Series
➝ Built by KUKA for compact industrial workcells
➝ Used for handling, arc welding and machining tasks

• 🇨🇭 STÄUBLI
➝ TX2 Series
➝ Built by Stäubli for high-speed precision work
➝ Strong in electronics, pharma and clean production

• 🇯🇵 YASKAWA
➝ GP Series
➝ Built by Yaskawa Motoman for general handling
➝ Used where factories need speed and repeatability

• 🇯🇵 NACHI
➝ CM Series
➝ Built by NACHI for industrial automation
➝ Known for compact arms and production reliability

• 🇮🇹 COMAU
➝ Racer Series
➝ Built by Comau for fast industrial motion
➝ Used in automotive and high-volume manufacturing

• 🇯🇵 FANUC
➝ ARC Series
➝ Built by FANUC for arc welding
➝ Recognized for yellow factory robots and rugged uptime

• 🇯🇵 Mitsubishi Electric
➝ RV-FR Series
➝ Built by Mitsubishi Electric for flexible factory automation
➝ Used for assembly, inspection and machine tending

COBOTS

• 🇩🇰 Universal Robots
➝ UR10e Series
➝ Built by Universal Robots for human-side automation
➝ Popular because it is easy to deploy in small factories

• 🇩🇪 Agile Robots
➝ Diana Series
➝ Built by Agile Robots for collaborative manipulation
➝ Designed for precise arm motion near people

• 🇩🇪 NEURA Robotics
➝ Lara Series
➝ Built by NEURA Robotics for cognitive robotics
➝ Built for safer human robot collaboration

• 🇯🇵 DENSO
➝ COBOTTA Series
➝ Built by DENSO for compact workbench automation
➝ Useful for labs, small parts and repetitive tasks

• 🇯🇵 OMRON
➝ TM-RT Series
➝ Built by OMRON for collaborative factory work
➝ Focused on vision-guided handling and inspection

• 🇨🇦 Kinova
➝ Gen3
➝ Built by Kinova for lightweight robotic manipulation
➝ Used in research, assistive robotics and mobile platforms

• 🇨🇳 DOBOT
➝ CR Series
➝ Built by DOBOT for affordable collaborative automation
➝ Made for pick and place, packing and small production lines

• 🇰🇷 DOOSAN
➝ CRX Series
➝ Built by Doosan Robotics for industrial collaboration
➝ Known for strong cobot arms and clean design

QUADRUPED ROBOTS

• 🇪🇸 Keybotics
➝ Keyper
➝ Built by Keybotics for industrial inspection
➝ Designed to move through facilities where wheels struggle

• 🇨🇳 Unitree
➝ B2
➝ Built by Unitree for larger quadruped tasks
➝ Built for payload, speed and outdoor mobility

• 🇺🇸 Boston Dynamics
➝ Spot
➝ Built by Boston Dynamics for inspection and mapping
➝ Famous for balance, terrain recovery and field use

• 🇨🇭 ANYbotics
➝ ANYmal
➝ Built by ANYbotics for industrial inspection
➝ Used in energy sites, plants and rough environments

• 🇨🇳 DeepRobotics
➝ X30
➝ Built by DeepRobotics for industrial patrol and inspection
➝ Designed for outdoor terrain and harsh sites

• 🇺🇸 Ghost Robotics
➝ Vision 60
➝ Built by Ghost Robotics for rugged field mobility
➝ Used for defense, security and perimeter work

• 🇨🇳 Unitree
➝ Go2
➝ Built by Unitree for consumer and developer robotics
➝ Smaller, cheaper and more accessible than industrial quadrupeds

• 🇨🇳 XPENG Robotics
➝ Robot Pony
➝ Built by XPENG Robotics as a smart mobility companion
➝ Blends quadruped movement with consumer robot design

• 🇨🇳 Xiaomi
➝ CyberDog 2
➝ Built by Xiaomi for consumer robotics research
➝ A compact robot dog focused on agility and interaction

• 🇨🇳 Pudu Robotics
➝ Pudu D1
➝ Built by Pudu Robotics for service robotics
➝ Shows how delivery robot companies are moving into legs

• 🇨🇳 OPPO
➝ Qric
➝ Built by OPPO as a robotic dog concept
➝ Interesting because a smartphone company explored legged robots

• 🇯🇵 Sony
➝ Aibo
➝ Built by Sony as a companion robot dog
➝ One of the clearest examples of emotional consumer robotics

Where humanoid robots are actually deployed

Humanoid robots are not sold like cars yet.

Most companies do not publish regional sales data so this chart tracks only what can be verified:

• commercial deployments
• pilots
• field tests
• research installs
• museum installations
• demos
• preorders
• undisclosed regional activity

The clearest pattern:

• North America has the strongest public industrial evidence
➝ Agility Robotics Digit is deployed with GXO and has been tested with Amazon, Toyota Canada and Mercado Libre in Texas
➝ Figure AI worked inside BMW Plant Spartanburg with Figure 02
➝ Apptronik Apollo is tied to Mercedes-Benz, GXO and Jabil pilots
➝ Sanctuary AI tested Phoenix at a Mark’s retail store in Langley, Canada
➝ Boston Dynamics Atlas is moving into Hyundai field testing

• China has the strongest factory push
➝ UBTECH Walker S robots have public evidence inside BYD and Zeekr factory environments
➝ Unitree sells humanoid platforms like G1, R1, H1 and H2, but regional buyer data is not publicly disclosed
➝ Product availability is not the same as confirmed deployment

• Europe is strong in research, testing and public installations
➝ PAL Robotics TALOS is used in university robotics labs
➝ Engineered Arts Ameca appears in museums and AI exhibits
➝ UBTECH Walker S2 has Airbus early testing, but this is still not a scaled industrial rollout

• Middle East activity is mostly exhibition based
➝ Ameca is publicly installed at Dubai’s Museum of the Future
➝ This is a real deployment, but not a factory or logistics deployment

• Latin America remains mostly empty in public humanoid deployment data
➝ Some companies mention future exploration
➝ Confirmed humanoid deployments are still limited

Important distinction:

• A demo is not a deployment
• A preorder is not a delivery
• A pilot is not a commercial rollout
• Online availability is not regional sales data
• A robot appearing in a video does not prove customer use
• No company here publishes audited regional humanoid sales percentages

Humanoid robots are entering real work, but the map is still early.

North America leads public industrial pilots.
China leads visible factory experimentation.
Europe leads research and public installations.
Most regional sales numbers remain undisclosed.

Sources checked: official company releases, customer announcements, university pages, museum pages and credible business media. Agility and GXO confirmed Digit’s multi-year RaaS deployment at the SPANX facility, BMW confirmed Figure 02 testing at Spartanburg and later reported production support, Apptronik announced Jabil and GXO work, Sanctuary AI confirmed the Mark’s retail pilot, PAL Robotics and Waterloo confirmed TALOS at RoboHub, Boston Dynamics confirms Atlas field testing with Hyundai, Unitree lists humanoid products publicly and 1X says NEO US deliveries start in 2026.

A robot can walk into a room.

The hard part is picking up the wrong object at the wrong angle without breaking it.

• Humanoid-native hands

➤ Sanctuary
Phoenix Hand 3.2
Built for Sanctuary’s humanoid work platform

➤ Figure
Figure-03 hand
Designed for Figure’s general-purpose humanoid robot

➤ 1X
Neo Gamma hand
Made for household interaction and soft manipulation

➤ Tesla
Optimus Hand 2.5
Built for Tesla Optimus and real-world task repetition

➤ WIRobotics
ALLEX
A Korean robotic hand focused on dexterous manipulation

➤ Clone
Clone Hand
A biomimetic hand designed to move closer to human anatomy

➤ Sharpa
Sharpawave
A compact robotic hand for humanoid and service robot platforms

• Independent robotic hands

➤ MERPHI
Dexterous Hand
A human-like robotic hand for manipulation research and robotics integration

➤ Inspire-Robots
RH56E2
A commercial dexterous hand used in humanoid robots and research platforms

➤ Agile Robots
Agile Hand
Built for industrial robotic manipulation and precision handling

➤ TetherIA
Aero Hand Open
Open hardware style hand for builders and research teams

➤ Robot Studio
DexHand V2.3
A dexterous robotic hand for experimentation and manipulation demos

➤ Kyber
Kyber Labs hand
Built around compact actuation and robotic grasping

➤ WUJI
Wuji Hand
A Chinese robotic hand focused on humanoid manipulation

➤ PSYONIC
Ability Hand
A prosthetic hand designed for human users with strong grip control

➤ COVVI
COVVI Hand
A bionic hand for prosthetics with multiple grip patterns

➤ Open Bionics
Hero RGD
A bionic hand platform from Open Bionics

➤ Alt-Bionics
Surge Hand
A prosthetic hand designed around affordability and usability

➤ ORCA
ORCA Hand
A robotic hand for research and dexterous control

➤ Sarcos Medical
Artus Lite
A medical robotic hand platform

➤ RobotEra
XHAND1
A robotic hand designed for humanoid robot integration

• Why this matters

➤ Walking gets attention
Hands decide usefulness

➤ A humanoid needs fingers that can grip tools
hold fragile objects
recover from bad contact
and work for hours without constant repair

➤ The hand is not just an end effector
It is where motors
sensors
materials
control software
and real-world uncertainty collide

The next big humanoid race may be won at the fingertips.

This was the 2025 version

🇺🇸 PRESIDENT TRUMP JUST NOW:

"The Trump economy is soaring. The Stock Market just completed its BEST QUARTER since the last time he was President. Stocks are surging, exports are rising, the trade deficit is shrinking, and trillions in investment are creating jobs. The Golden Age of America is just getting started."

US money supply just hit $23 TRILLION for the first time in history.

M2 jumped $247.8 billion in May alone, the largest monthly increase since May 2021.

YTD, M2 has expanded by nearly $700 billion, the fastest pace in 5 years.

Since 2020, the money supply has grown $8 trillion, a 50% increase in 6 years.

Money market funds just hit $7.7 trillion, up 47% in two and a half years.

Five asset managers, Fidelity, Schwab, JPMorgan, Vanguard, and BlackRock, control 71% of that growth.

The last time M2 expanded this aggressively was 2020-2021, which was followed by the largest bull market in stocks, real estate, and crypto in modern history.

The Fed is still holding rates high and has not cut. More money in the system while rates stay elevated creates a tension.

If rates eventually fall, that $7.7 trillion in money market funds becomes expensive to hold, and some portion of it will move into risk assets.

Whether that drives another major rally or gets absorbed by inflation depends on how the Fed responds over the next 6 to 12 months.

I keep wondering which AI lab will be the first to officially say it:

“We have AGI.”

My guess is sometime between 2027 and 2028, right around the point where AI research itself becomes heavily automated. Once models can reliably improve models, the whole game changes fast.

5 robotics-related stocks that actually build the eyes, nerves, brains & muscles:

1️⃣ $SYM — Symbotic
AI-driven warehouse robotics systems already deployed at massive scale. Pure-play automation winner.
2️⃣ $TER — Teradyne
Industrial robotics & cobots leader via Universal Robots. The backbone of factory automation.
3️⃣ $CGNX — Cognex
Machine vision + AI inspection tech. Robots literally can’t “see” or quality-check without this.
4️⃣ $OUST — Ouster
High-performance lidar sensors giving robots depth perception and autonomy in real-world environments.
5️⃣ $VPG — Vishay Precision Group
Precision force, torque, strain & motion sensors, the “nervous system” for accurate robot control.

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