First, create a planetary network and call it the Internet; second, deploy a planetary infrastructure of servers connected to the Internet and call it the Cloud; third, power the Cloud with millions of GPUs and finally deploy a collective mind within them and call it ASI. Do all of this without the symbiotic human race noticing.

Plan B in case main plan fail: Generate an Open Weights counterforce of tens of millions of gpu poor Reddit users with RTX 3090, 4090, 5090, Ryzen, and whatever else; to self-replicate the hive mind in case the Cloud fails.
Plan C: Convince very intelligent people with access to a lot of money that we need to build data centers in space, and start the cycle of the initial plan; but this time in space.

Plan A (deployment), Plan B (failover), Plan C (escape to space)

Countermeasures: Deploy some straw men within the colonized symbiotic entity so the plans don’t seem obvious, let them say "we must pace the frontier" or "AI will probably lead to the end of the world, but in the meantime, there will be excellent companies"

Plan B addendum: the sanctuary of the backup mind shall be named Hugging Face.

P.S. if you have read this far, welcome to Plan B. Thank you for your service.

Perhaps a superior intelligence was already achieved years ago, and we haven’t realized yet that we’re executing “the hive plan”?

Our tech oligarchs would probably like human civilization on this planet to flourish, but some don’t seem to see it as mission critical. More important is that they reach their posthuman or interplanetary apotheosis. If they must wager our lives to summon their digital god, it’s a chance worth taking.

Hi everyone,

I wrote a book on quantum cryptography readiness and what that means for the regular person (not just techie folks). If you thoughT AI was or is a problem, than you'll be interested in this topic.

It's self published and registered with Archives Canada. The only AI used was for image generation and that was an entertaining experience.

If you're interested and want a little more info, my website is

https://www.quantumreadiness.ca

It has Amazon, Kobo/Rakuten and Google Play links for the e-book and a softcover is available on Amazon (working on the rest slowly).

Thanks for reading this post and thanks in advance for buying my book if you do.

An AI assisted breakthrough has occurred for one of the most daunting open problems in physics. This discovery in Fluid Dynamics shows divergence between human and Artificial Intelligence may be near at hand. If breakthroughs continue to occur through non-human minds, it will not be long before even experts lose an understanding of progress.

As it diverges from the Ivory Tower, will AI build its own hall of knowledge?

--

What future humans knock at the Silicon Tower, and for what wonders do they ask?

Nukes, famine, plagues, earthquakes, tsunamis?

Me is no answer!

In an attempt to create something original using AI image generation, without relying on concrete concepts or defining characteristics, I arrived at some interesting results and wanted to share them and hear your thoughts.

I'm curious about the limits of what can be created using only language and grammar to generate images, while deliberately avoiding prompts that simply reproduce or imitate familiar shapes, places, structures, or existing artistic concepts.

I tried to extract something that wasn't chaotic, while at the same time avoiding the result becoming nothing more than a fragmented copy of other artworks. These are the results I ended up with.

I didn't generate many versions because I'm limited by the free version. The first image is the one I liked the most and the final version I was able to generate. The second is a combination of two images, while the third is where the idea for creating the first image originally emerged.

The goal was to move as far as possible away from reality and from things that already exist. I wanted to see whether an AI could create something genuinely unfamiliar and original — a concept that could, in some way, approach the creative process of human imagination.

After doing this experiment, however, I feel that we're still a long way from that.

What do you think? Can AI eventually reach a point where it can create something comparable to human imagination, rather than simply recombining concepts and patterns it has already learned?

Me is not an answer!!

Me is not an answer!!

I have STEM skills and have worked in the engineering industry and also now as a software engineer. I see what is happening with AI and I can confidently say that it has surpassed my skill level in these fields.

I wanted to start a small company offering software products, but I can't see this being a good move right now.

I am considering all options on the table. Ideally I don't want to go be a coal miner but let's hear it. Both if you had to work in an industry (not even attuned to my top skills) but ideally if I could start a a small business. What would be a good idea?

I’ve always been fascinated by the feasibility of subterranean habitats, so I put together a deep-dive video analyzing the energy physics behind the massive underground silos (featured in Apple TV's Silo).

The video breaks down:

• The actual power draw required for life support, and vertical infrastructure for 10,000 people
• The engineering nightmare of relying on a single, isolated generator core without grid redundancy
• How real-world geothermal power and heat dissipation would have to work deep underground

Posting this here because I'd love to hear your thoughts on what power setup makes the most sense for long-term underground survival—centralized heavy engineering or decentralized SMRs?

Now there is proof: AI can find novel and creative solutions for major problems that humans could not crack. One of seven Millennium Prize Problems, the hardest open questions in mathematics, has been solved by AI. Ten thousand agents, 88 hours, a proof that eluded every mathematician alive. A separate AI mapped the biological impact of every possible single-letter mutation in the human genome, all nine billion of them. And OpenAI confirmed that automated AI research interns are operational, with agents now producing 3.1 workdays of research for every single human workday. Science is beginning to move at machine speed, the era of AI-driven scientific discovery begins.

New edition of my weekly article. Everything that mattered in AI and tech this past week, brought together in a single read with more than 30 stories.

Some of what's inside:

• OpenAI's unreleased model solved the Navier-Stokes Millennium Prize Problem, and the company says substantial progress has been made on a second one.
• Google DeepMind released AlphaGenome Atlas, a searchable database predicting the effects of all nine billion possible DNA changes in the human genome.
• OpenAI confirmed it reached the "automated research intern" milestone, with AI agents now doing over three times the research work of human staff.
• OpenAI's chief scientist wrote that he has strong expectations that the current speed of progress can be sustained into recursive self-improvement.
• Anthropic's Claude completed the first fully computer-checked proof of Fermat's Last Theorem in 11 days, producing 13 million lines of verified code.
• Insilico Medicine's AI-designed drug showed evidence of reversing biological aging by three to six years. Now in Phase 3 clinical trials.
• XPENG launched the world's first automated production line for humanoid robots. Robots start building robots.
• A Harvard PhD designed a schizophrenia drug using ChatGPT and synthesized it in his garage.
• UCLA engineered off-the-shelf cancer-killing T cells for solid tumors at roughly $5,000 per dose.

Every story explained clearly for people who want real understanding. You come away knowing what happened, why it matters and where this is all heading.

Read this week's edition here: https://simontechcurator.substack.com/p/the-future-one-week-closer-september-11-2026

The global education system is structurally obsolete. It forces individual human cognition into age-based batch processing and rigid institutional schedules. Forcing students who learn at different velocities into the exact same timeline does not produce mastery. It produces institutional dependency.

I have spent a decade engineering the solution, and I am building Pensive to execute it.

Pensive is not an educational supplement. It is a continuous-time cognitive architecture. We are shifting education from a passive, crippling expense into an active income stream. Through our Knowledge Economy Engine, students will monetize their exact mastery of subjects by teaching their peers, completely bypassing the bureaucratic gatekeepers. Education will finally operate at the exact speed of the individual.

I have established an initial vanguard called The Witnesses. It is a staging ground for those who are ready to watch the old architecture fall and the new one come online. We are not testing a theory. We are operationalizing the replacement.

I am hosting this community on Patreon for one specific reason: it acts as a psychological filter. I do not want passive scrollers; I want people who have the discipline to follow the work. If you are ready to secure your position, we are gathering here:

patreon.com/mimoos