$IREN $NBIS $MRVL $CRWV $HUT | Microsoft has completed construction on the first data center in Mount Pleasant, Wisconsin, which is now fully operational.

The facility anchors a $4.7 billion local infrastructure investment and houses the world’s most powerful AI supercomputer.

Fable 5 feels massively overhyped.

GPT 5.6 will make that very obvious.

Same level in many areas, better in some, especially agentic work and coding, and probably 4 to 5 times cheaper.

At that point the hype graph gets ugly fast.

GPT 5.6 will be the first truly superhuman coding model.

Not just faster than humans.

Better at planning, debugging, refactoring, testing, and shipping full products across messy real codebases.

At that point coding stops being a human skill contest.

It becomes, who can steer the machine best?

How it feels when Claude down for the last few hours

Claude is down for everyone EXCEPT the US government.

Please mean Fable is coming back?

"Be first, be smarter or cheat"

​Effort alone doesn't scale without leverage.

To win, you either need a speed advantage, a superior strategy, or a willingness to completely disrupt the status quo.

🚨UPDATE: Anthropic has resolved an issue that caused elevated error rates across multiple Claude models.

Me and bros crafting up the perfect strategy to beat the market and escape the matrix

Two fundamental macroeconomic and technological trends make $DAIO an indispensable gatekeeper for the future of the tech industry

The Paradigm Shift to UFS Storage:

Legacy flash memory standards are rapidly disappearing. Modern connected vehicles, autonomous driving suites (ADAS), and Edge AI devices require massive Universal Flash Storage (UFS) capacities, handling gigabytes of data instead of megabytes. Competitors hit physical speed limits trying to flash these volumes. Powered by patented VerifyBoosttechnology (delivering verification speeds up to 750 MB/s), Data I/O's LumenX and LumenX2 architectures are the only platforms capable of flashing these enormous data volumes without slowing down automated factory assembly lines.

Regulatory Cyber-Security Mandates:

Global regulatory bodies, such as strict EU automotive cybersecurity directives, now legally compel manufacturers to secure hardware devices directly at the factory root level. Because cryptographic keys can no longer be safely injected later via post-production software updates, they must be embedded securely during the initial chip flashing phase (Security Provisioning).

$DAIO is the only market provider that has seamlessly merged this complex cryptographic identity injection directly into high-speed, high-volume automated manufacturing lines.

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

Google just lost the AI race.

Seedance 2.0 in 4k is insane, and it's genuinely 10x better than Google's Omni video gen model.

Seedance 2.0 can now produce 30-second clips in 4K.

Fable moment for AI video generation.

$META is launching their own prediction markets app

What do you think about Zuck decision?

Claude when it comes to killing startups

This humanoid robot has been working since 2023!

Continuous loop, while being streamed.

Everyone's talking about Figure robots, but this Digit bot is crazy impressive.

Global Robotics Snapshot

Robotics is already a numbers story.

4.66M industrial robots are now in service worldwide.

Factory Robots
➤ 542K new industrial robots installed
➤ $16.7B installation value

China
➤ 295K new robots installed
➤ 54% global share
➤ 2M industrial robots in operation

Service Robots
➤ 200K professional units sold
➤ 102.9K logistics robots
➤ 20M consumer robots

Humanoids
➤ 16K installed in 2025
➤ 80%+ in China
➤ Unitree shipped 5.5K units

The robot economy is not waiting for humanoids.

Factories already run on robots.
Logistics is scaling fast.
Medical robots are growing.
China is building the largest installed base.
Humanoids are still early but the production race has started.

Claude just entered the robodog lab.

Anthropic Project Fetch Phase Two shows Claude Opus 4.7 using Claude Code to connect to a robot dog video camera lidar sensor and write control code.

On the shared tasks Claude finished in 12 min 7 sec.

Team Claude took 264 min.

Claude still failed the hard part: precise autonomous ball retrieval.

1. The goal

Test whether Claude can use Claude Code to program a robot dog in a classic offline robotics setup.

2. The tasks

Claude had to help with:

Connecting the robodog video camera
Connecting the lidar sensor
Writing control code
Tracking the robot’s movement
Detecting a beach ball
Trying to bring the ball back automatically

3. The strongest result

On the tasks completed by humans in the first phase Claude Opus 4.7 was much faster.

Anthropic gives these numbers:

Team Claude-less: 361 min
Team Claude: 181 min
Claude Opus 4.7 alone: 9 min 35 sec

Across 5 tasks Claude Opus 4.7 finished in an average of 12 min 7 sec compared with 264 min for Team Claude.

4. The important limitation

Claude did not solve the hardest robotics part: pushing and retrieving the ball with precise autonomous control.

Anthropic clearly says this does not mean LLMs have solved robotics.

5. Why it matters

This is not a demo of a perfect autonomous robot.

It is a signal that models like Claude can start using existing physical tools through code camera lidar and robot control.

Anthropic describes this as an early step toward physical agentic AI.

But it is a clear signal for Physical AI.

Claude Anthropic Project Fetch Claude Opus 4.7 Claude Code AI agents robotics robodog robot dog quadruped robot autonomous robot lidar computer vision embodied AI robot control Physical AI

anthropic.com/research/project-fetch-phase-two

If you're tired of overpaying for AI, you need to read this.

GLM-5,2 was recently launched, and it's the best cost-per-intelligence AI on the market.

I'm personally running a "barbell" approach with this new model to maximise both intelligence & cost.

Full GLM-5.2 guide