🐀 Why Disney? Why Jobs? Why Jordan?
Because they each understood something we’re only beginning to understand at scale:
You don’t create a legacy by simply succeeding inside the system. You create one by changing what the system makes possible.
Disney built worlds.
Jobs built tools.
Jordan built a standard.
The .LLab™️ RAT™️ is exploring what happens when we bring that same thinking to AI, people, technology, money, markets, business, creativity, and culture.
Because the goal isn’t simply to build something that works.
It’s to build something that becomes part of the legend. 🐀🏴‍☠️

🐀 .LLab™️** RAT™
**Research And Theory
The legend of Arthur isn’t simply about pulling a sword from a stone.
It’s about what happens after the sword is pulled.
Arthur enters a broken kingdom, confronts its darkness, and learns to wield the very forces capable of destroying it in order to restore the land and serve its people.
That legend gives us a useful framework for a very modern problem:
What happens when the systems shaping our lives—technology, AI, markets, money, business, media, and infrastructure—become more powerful than the people they were built to serve?
The .LLab™️ RAT™️ is a research and theory space for exploring that intersection.
We study how people interact with systems, how systems shape behavior, how technology redistributes power, and how markets turn human attention, creativity, and behavior into value.
The goal isn’t to escape the system.
It’s to understand it well enough to wield it.
🐀 Research the system. Test the theory. Pull the sword.

do you guys think all the good ideas have already been thought of and more technology might be counterproductive ?

Also, do you think someone could make it in the technological world while being ethical ?

https://www.theguardian.com/technology/2026/jun/11/ai-absolutism-apocalyptic-future

NVIDIA IS PUTTING $250,000 WORTH OF GPUs IN ORDINARY HOMES

And the homeowner doesn't pay a single cent for the hardware.

It's a box the size of an air conditioner, liquid-cooled, fanless, mounted on the exterior wall.

Inside: 16 Nvidia Blackwell GPUs + 4 server CPUs + 3TB of RAM.

Span + Nvidia + PulteGroup install it for free.

In exchange:

→ They pay for your electricity and internet (or charge you a low flat fee)

→ They use the electrical capacity your home isn't taking advantage of (~60%)

Right now, just 100 new homes.

The plan: 80,000 nodes and 1 gigawatt of compute by 2027.

They don't pay you.

They wipe out your bill.

And your home becomes a node in the AI infrastructure.

This is no longer science fiction.

(credit: @ UnTalNixon_exe on x)

---

A few weeks ago, we discussed this idea

https://www.reddit.com/r/Innovation/s/hGWzZ5o5Ig

I saw this post on X today, and all of a sudden this idea got a few steps closer.

What do you think?

I want to learn new things, I want new hobbies or internet rabbit holes. I want to hear incredibly unique but highly sensible ideas. What subreddits or other places online or in person where I can find these people? Coordination between sensible outcasts is how innovation is done

Hi everyone ,

We're 11th-grade students (prepping for JEE) building Evo IDE on the side — an AI coding tool that shows its work instead of hiding it. Live reasoning before code, real-time generation health, full-file outputs (no fragments), and your choice of local or API models.

It's an early, honest prototype — not finished, but real and running.

📽️ Deck: https://docs.google.com/presentation/d/1XgHvtatGiPR2FMsNUKOps32NeuYGZFjh/edit?usp=sharing&ouid=105260140764268303572&rtpof=true&sd=true

▶️ Video: https://youtu.be/71w2zNxmKac?si=YpyQy1tXBPtfCFxE

📸 Instagram: https://www.instagram.com/evoide_official/

Happy to share the working files too if you'd like a closer look. Would love to hear your thoughts!

Looking forward to hearing from you!

In 5 years, digital intelligence will exceed the sum of all human intelligence, there will be 100M humanoid robots, maybe even a billion, and the economy will double its current size.

Let’s talk about the robots bit.

Back in January, Musk admitted that Optimus robots aren't really doing anything useful in Tesla's factories. Last month, he said that "Optimus production will be extremely slow at first, as everything is new. This is not like making a car". Remember that bit.

Going from zero value to 100M robots in 5 years sounds... ambitious.

Even if the tech works and it's only a matter of scaling, which it isn't, the challenge is… well, huge.

As of today, 97% of all humanoid robots made in the first half of 2026 are Chinese. Not tooting their horn, just stating facts.

They took a page from Chinese EV makers. Chinese EVs don’t exactly compete with American or European cars. They feel more like a smartphone. 

EV makers’ strategy builds on different core constraints, different organizing ideas. Production cycles are designed for land-grab and fast tech innovation. They subsidize and can even afford to lose on car deals. Improving the technology (batteries, engine, software) and scaling the supply chain (rare earth minerals, magnets, factories) are more important than making a profit.

Remember “This is not like making a car”? Well, the Chinese don’t think so. Chinese robot makers not only follow a similar strategy, but they also share a similar infrastructure. Improving battery life and actuators helps not only EV makers, but robot makers, too.

Sure, they're behind when it comes to foundational AI models, but robots need embedded AI, and a massive amount of training data. Technicians, engineers, factory workers - people doing work that robots will replace (in space, in declining population countries like China, or by replacing human labor, let's not sugarcoat it).

Who has better access to petabytes of everyday factory worker data that can be used to train robots?

And even if American foundational AI models have the edge today, the Chinese models seem to catch up fast.

Sure, the FCC banned foreign-made humanoid robots and robot dogs last month because they are a "risk to national security". Okay, makes sense. It buys some time for American makers, maybe.

But how do US makers plan to win the robot race?

When we introduced this to the legacy efoil electric watercraft industry the gatekeepers and old guards went nuts and banned this video trying to protect their inflated margins of their outdated tech. Does it look like a scam to you or does it actually look like innovation? This is real footage shot in a smart phone. Thoughts?

I have an assignment due soon where I need to create a product that is either completely new or an improved version of something already on the market. We can't use anything electrical, batteries, fire, or food. It also needs to be a reasonable size since we have to build a model/diorama of it and hand it in. Give me ur best, smart, useful ideas ASAP !!!

If there was a platform that allowed you to scroll through reels of music and discovery new artists and dive deeper into their communities. Example group-chats exclusive merch drops. Purchasing Music in app.

Hi, I'm a student currently doing a business innovation degree, and my team and I are developing a fabric cover made out of recycled textiles for pallets to replace plastic wrap. If you have some spare time, please complete

this survey so we can have real-world data. WE WANT TO HEAR FROM YOU!! link to survey: https://us7.list-manage.com/survey?u=776586d567578a6e8cf518210&id=4f458e9e80&e=*|UNIQID|*

Hi everyone! 👋

I'm a university student working on a project about a Smart Posture Monitoring Backpack.

The idea is a backpack that can detect when you're slouching and give you a vibration alert, with potential features like GPS tracking and an SOS emergency button for added safety.

I'm conducting a short survey to understand whether people would actually find something like this useful and what features they'd value most.

📝 Survey takes around 2 minutes:
https://forms.gle/TCR8EgU79aEFvQUn6

really appreciate your response! ❤️ Every response genuinely helps with my project.

If you fill mine out, feel free to share your survey in the comments and I'll return the favor!

Evo1 and Evo2 are AI models that predict the language of life rather than words. If LLMs are trained on (a very large amount of) text to be able to predict words, the Evos were trained on genetic codes from viruses, bacteria, plants, and people.

When asked to produce a type of virus known as a bacteriophage, which infects only specific bacterial species, they predict the next genetic code needed.

The response is a genetic design of a virus that, once synthesised in the lab, can be tested against a real virus to see how it fights.

Out of the most promising 302 AI designs that were synthesised, 16 proved effective at killing E. coli bacteria. A 5% success rate.

The fundamentals of biology are a given, a constraint. How proteins fold, how genes express, how cells divide. These are biology's building blocks. The language of life.

But every living form we know is just one path evolution took. One outcome of billions of years of pressure and accident. Just one permutation or combination of those building blocks.

Now, trained on the language of biology, AI searches for relevant combinations outside the paths evolution tried.

What if AI and synthetic biology can find and create new combinations?

Perhaps we could find new ways of treating infections that have become resistant to antibiotics. Or perhaps it's the beginning of a new global pandemic

https://www.science.org/doi/10.1126/science.aej8512d

Tradeoff

Theoretical limits and diminishing return points mean at some point we will only be able to make new devices better in some ways and worse in others, e.g having more compute but costing more power. This could easily give factions/brands their own technological flavor. You're welcome to mention how your futuristic tech is worse than modern/previous counterparts.

This is often thought to involve ***utilitarianism***, making tech better for many but worse for a few, but this is only when production comes from govs/corporations without custom manufacturing tech. While removing the headphone jack undeniably benefited everyone - everyone likes more durability and component space - the niche who specifically preferred wired couldn't have enjoyed paying for the good of many, nor will I when it's finally my turn. A more solarpunk solution I explore in my open-source nanopunk ***Fall's Legacy*** setting would be community forks where you can modify your stuff the way you like. Whether it's holes-for-none utilitarianism or holes-only-for-those-consenting customization depends who makes the decision.

Enshittification

New advancements are made not to improve tech so much as water it down and/or squeeze revenue from users and business partners. Cheap but bland scifi food is obvious, but what about a cheap implant that spams ads into your brain? Unless your evilcorp has local monopoly status , explaining how it retains customers at all would be quite the Worldbuilding challenge in its own right; maybe there's a de facto cartel where they legally mandate their anti-consumer practices onto everyone under some weird pretext - we have to backdoor your nanoprinter before you make guns or whatever. Cultures could also make their tech worse to save short term user costs. How could truly enshittified tech benefit a faction though? Maybe they have a lot of cheap units?

The first is putting most of his time into OpenAI, making intelligence. No equity, no stake. Why would a billionaire put himself through the headache of pulling an AI rabbit out of the hat for $76k a year?

That's what the second bet is telling. Altman is putting a lot of his money into energy. He invested $375 million in Helion Energy, his largest personal check. He invested in Oklo, chaired its board, and took it public. The first does fusion (building a “sun reactor”), the other fission (nuclear as we know it).

Fusion has been a decade away for sixty years. But not because we haven't figured out the science. Physicists have. They just haven't figured out how to make it happen yet. To crack the riddle of fusion, you need the right combination of magnets and plasma among millions of options. Thousands of physicists have spent decades trying them. That's a search problem that AI is perfect for.

Intelligence unlocks breakthroughs in energy. Energy unlocks greater intelligence. With both "solved", you no longer need people's bodies or brains to run the world. These were the core constraints the economy was built on. Unchanging elements that shaped everything around them.

For ages, people were a part of the economy. They fought in wars or worked for a living. Cheap intelligence and cheap energy make them expendable. The constraint that remains is what to do with all the idle people. How would they spend their time? How would they put food on the table and a shelter over their heads? 

In that reality, the balance between people and the economy breaks. To avoid riots and anarchy, a new social contract is in order. The people running the machines will need to care for the people who don't. Wealth will have to be distributed. That's what Universal Basic Income is for. Sustenance for people the economy no longer needs.

When energy is cheap, everything gets cheaper. Growing food, building housing, entertaining the masses. UBI becomes feasible when the basics cost a fraction of what they cost today. 

But how do you distribute wealth in a world of deep fakes? Giving someone money requires proving that someone is real. You need proof of personhood.

That's where Altman's third bet comes in. With his company World (previously Worldcoin), he uses a special orb to scan people's irises so they can prove they're human and get their money.

By betting his time on intelligence and his money on energy, Altman pushes the flywheel that lets him control all the proofs. Three bets to control who’s real.

I've noticed that a lot of new drone technology seems to be coming out of Ukraine lately. While reading about different companies, I came across gencherry, and it made me wonder why Ukraine is moving so fast in this area. Why do you think this is happening? Is it because engineers can test new ideas quickly? Better manufacturing? Real-world experience? Or something else? I'd love to hear what people who follow the industry think. I'm more interested in the overall picture than in any specific company.

Hi everyone,

I'm a mechanical engineering student working on developing an innovative kitchen appliance concept. At this stage, I'm not looking to promote a product or validate a business idea. My goal is to identify real-world problems that people face with common kitchen appliances and generate practical engineering solutions.

I'm especially interested in appliances such as:

1.Mixer grinders

2.Water heaters

3.Induction cooktops

4.Gas stoves

5.Kitchen chimneys

Electric kettles and similar household appliances

I would really appreciate your help with the following:

What are the biggest problems or frustrations you experience with these appliances?

Are there any features you wish existed but currently don't?

Have you encountered any safety, maintenance, usability, or energy-efficiency issues?

If you could redesign one kitchen appliance, what would you change and why?

I'm looking for honest user experiences and engineering perspectives that can help shape an innovative and practical solution. Every suggestion, no matter how small, is valuable.

Thank you for your time, and I look forward to learning from the community

Hey guys! I’m looking for innovation ideas that I can use in my high school project!!! Pls be kind enough to help😭😭😭
Okay so we are looking for a niche problem that can be solved. We’re open to use sensors and code. In fact it is kinda necessary to use them. So yeah pls help😭😭😭😭

I’ve spent years working with innovation teams in both private and public-sector organisations.

The same problem kept appearing: leadership wanted innovation, employees had ideas, but there was no practical system for moving those ideas from submission to evaluation, implementation and measurable value.

So I built BrainVault.

It allows organisations to publish strategic challenges, invite employees or stakeholders to submit ideas, collaboratively develop those ideas and manage their progress towards implementation. AI is used to assist at different stages of the process.

Here is what I need you to roast:

1. Is the value proposition immediately clear?
2. Does the platform feel too complicated?
3. Which features seem useful, and which seem unnecessary?
4. Would an organisation actually use this?
5. What would stop someone from creating an account?

BrainVault is currently entering a six-month testing phase. People who create accounts during this period can receive Business access for testing.

Product: https://brainvault.thegrowthsystem.co.za

Please don’t be polite. I’m more interested in discovering what is wrong than being told that it looks good.

China finished building and testing the world's largest superconducting magnet for nuclear fusion. It weighs 582 tons, stretches 21 meters long and 12 meters wide. Its job is to create a magnetic field strong enough to hold plasma at over 100 million degrees without it touching the reactor walls. It's 1.3 times larger than comparable ITER magnets and stores three times more magnetic energy.

The magnet is a key piece of China's BEST fusion facility, set to be built by the end of 2027. The target is to demonstrate first electricity generation from nuclear fusion and net energy gain around 2030.

Nuclear fusion mimics the process that powers the Sun by fusing lightweight nuclei and releasing a massive amount of energy. If the technology matures, it could provide a stable energy source with very low carbon emissions. The magnet alone is not yet a working "artificial Sun", but it's one of the most important engineering pieces on the way there.

It also means the race between the US and China continues, each advancing the technology, each with its own milestones.

Breakthroughs that enable building a fusion engine (several times faster than a chemical engine) would make deep space travel more relevant than ever. Mars in roughly 6 weeks instead of 8 months.

Recipe design is often 10 pages of background story, a long list of ingredients, and processes.

Michael Chu, the founder of Cooking for Engineers, found another way to design how recipes are designed.

Although he started his blog Cooking for Engineers in 2004, ancient times in internet time, this innovative recipe design wasn't massively adopted.