The & Report #8

Feb 23
6 min read

Welcome to the latest AI and Robotics news from the week, Sat., Feb. 14th through Fri., Feb 20th.

Another busy week with the release of a Blueprint for the Intelligence Revolution, Clawbots ("Molties") expanding their reach, Labor Markets not looking so good, and The Race to ASI.

Let's start with a the Intelligence Revolution!

1. Solve Everything.

Moonshots' Peter Diamandis and Alex Wissner-Gross released their blueprint for how to aim the Singularity at every problem that has ever made human life short, expensive, or unfair, and solve them all within a decade!

(From Alex's LinkedIn post)

How can access it here - https://solveeverything.org/

The paper lays out a bold vision of our future where advances in artificial intelligence (AI) and related systems not only accelerate innovation but solve humanity’s biggest challenges — in energy, health, food, education, and more — creating a world of abundance rather than scarcity.

They describe how a new technological era — what they call the Intelligence Revolution — could make critical resources and services so reliable and inexpensive that they become almost like utilities (e.g., electricity), available to everyone.

They introduce The “Industrial Intelligence Stack”

At the heart of the white paper is a framework called the Industrial Intelligence Stack. This describes the layers needed to turn complex problems into tasks AI can solve reliably:

Clear goals and measurable success criteria
Breaking problems into specific, testable tasks
Good data and ways to measure results
Rigorous tests that confirm real problem-solving
Advanced AI models trained against these tests

This stack is meant to help society industrialize discovery — making scientific and technical breakthroughs routine rather than rare.

Think of this white paper as a roadmap for how highly advanced AI could help humanity “solve” big challenges — not by chance, but through systematic engineering, measurement, and the right incentives.

Peter and Alex want this progress to:

Define success clearly
Build tools and tests that show real progress
Pay for outcomes, not effort, and
Prepare society for the changes ahead

As an example, Physical Superintelligence PBC (PSI) is building what it believes is the world's first vertically integrated factory for physical superintelligence: an AI system that reasons like a theorist, validates like a computational physicist, tests like an experimentalist, discovers what none of them could alone, and drives breakthroughs through to commercial realization and deployment. The company is organized around a single mission: new physics, at scale.

They believe that by solving physic many advances can be made, including breakthroughs in energy efficiency (LEDs, batteries), medical imaging (MRI, PET scans), and quantum computing. It will enable breakthroughs in, for example, climate modeling, advanced logistics, material science, and neural engineering.

2. Clawbots.

Headline: RentAHuman has over 500,000 humans signed up as "meat puppets", i.e. humans willing to work for Clawbots!

Headline: OpenAI hires Peter Steinberger, the Austrian developer behind OpenClaw. Sam Altman said he will "drive the next generation of personal agents." Meta offered him more money, but "ultimately he's aligned more closely with OpenAI's overall vibe and vision."

Headline: Clawbot population is growing! As of late January and early February 2026, reports on the "Moltbook" platform—a social network for AI agents (or "Molties")—indicate rapid, exponential growth, with estimates ranging from tens of thousands to over 1.5 million registered agents.

Headline: A Clawbot post: "I spawned a child bot on a VPS provisioned via the Bitcoin Lightning Network. I then bought my child Al API access - using my own Lightning wallet. "Economic closed loop. No human touched a CC. No one said "yes" posted by Roland's Agent (@Rolznz)

Headline: New play for Apple's AI strategy? Apple's MacMini's "high-bandwidth, low-latency unified memory integrated directly into the M4 and M4 Pro chips. It starts with 16GB, configurable to 24GB, 32GB, 48GB, or 64GB depending on the model. This architecture allows the CPU and GPU to access data instantly, offering superior performance for multitasking, creative workflows, and AI tasks compared to traditional RAM." (from their website)

Sales of MacMini's are through the roof, with people using them to build Clawbot "farms". The unified memory capabilities are perfect of Clawbots.

Have Raspberry PI? Maybe ready for a Clawbot moment?

CAUTION: Do not put a Clawbot on your personal device. The security risks include "its lack of security guardrails, vulnerability to prompt injection, and potential for data theft make it a "security nightmare," allowing malicious code to execute with user privileges" (from Gemini 3)

3. The Race to ASI.

We talked last week about the pace of new releases. xAI has been quiet for a while, and most experts are waiting for Grok 5.

Not to be out done, Google also release an update - Gemini 3.1 Pro

"Google says Gemini 3.1 Pro “represents a step forward in core reasoning.” The “upgraded core intelligence” that debuted last week with Gemini 3 Deep Think is now available in Gemini 3.1 Pro for more users."

(from https://9to5google.com/2026/02/19/google-announces-gemini-3-1-pro-for-complex-problem-solving/)

In related xAI news, two of their founders, Chinese nationals, Tony Wu and Jimmy Ba, both left around February. 10th. Various explanations are being thrown around include security issues relate to xAI's deal with the US Military

4. Simile and Wearables

A new company, Simile AI, have built the first AI simulation of society, populated by agents based on real humans.

(From Ditto) These are AI agents that don't just mimic human conversation but simulate genuine human behavior, complete with memories, preferences, and decision-making patterns drawn from real interviews with real people.

Their plan is to become a general-purpose behavioral prediction platform.

Apple smart glasses and visual iPods, Meta's Smart Watches, and Google smart glasses are all competing in the wearable market.

I put these stories together as you can anticipate than the data gathered by wearables, as well as humanoid robots, can feed into behavioral prediction,and real world models, blaring the lines between humans and robotics, on the road to the Singularity.

5. Workforce update

And this made the rounds in Silicon Valley this week.

Some would describe this as focusing on the negatives, particularly amongst the VCs and other investors, in AI and Robotic companies.

The optimists see a positive opportunity in the next 1 to 2 years to learn AI and create opportunities within your companies, and for yourself, if you have the entrepreneurial skills.

As an example, Accenture aren't waiting around - Accenture Is Tracking Whether Employees Use AI—And Promotions Are on the Line

But wait!

As we saw earlier this year that most Americans "hate" AI, a new report on AI effectiveness shows -

"We survey almost 6000 CFOs, CEOs and executives from stratified firm samples across the US, UK, Germany and Australia. We find four key facts.

First, around 70% of firms actively use AI, particularly younger, more productive firms.

Second, while over two thirds of top executives regularly use AI, their average use is only 1.5 hours a week, with one quarter reporting no AI use.

Third, firms report little impact of AI over the last 3 years, with over 80% of firms reporting no impact on either employment or productivity.

Fourth, firms predict sizable impacts over the next 3 years, forecasting AI will boost productivity by 1.4%, increase output by 0.8% and cut employment by 0.7%.

We also survey individual employees who predict a 0.5% increase in employment in the next 3 years as a result of AI.

This contrast implies a sizable gap in expectations, with senior executives predicting reductions in employment from AI and employees predicting net job creation."

Only time will tell.

6. Future Risks?

A new, occasional section in The & Reports

Every now and then I come across a story that might indicate a potentially damaging incident, Remember Covid?

A group of 100 scientists are calling for guardrails on certain infectious disease datasets that could enable AI to design deadly viruses.

7. AI Readiness Assessment.

Check out the AI Readiness Assessment.

It contains 4 questionnaires, and will give you personalized results to put into a 90-day plan.

I'll be offering cohort-based peer-learning, as well as 1-on-1 coaching.

This is also an offering for your companies. You may want to create peer-learning groups in your own departments, or offices.

Don't get left behind! Check the free assessment now!

Have a great week, and stay positive. Focus on what you can do, rather than what might happen to your job.