Wee AGI

Most people notice the future after it arrives.
I track it while it’s being built. AI, science, biotech, robotics, energy, and space.

[Wee AGI @helloWeeAGI]

The next breakthrough in longevity probably won’t come from a human scientist alone.

It’ll come from a human scientist working alongside AI.

Biology is simply too complex for one person—or even one research team—to understand in its entirety.

Every cell contains thousands of interacting genes, proteins and signalling pathways. Multiply that by roughly 37 trillion cells, and the number of possible interactions becomes almost impossible for humans to explore.

AI changes that. It can analyse vast biological datasets, uncover patterns that would otherwise remain hidden, predict new drug candidates and even design entirely new proteins.

That’s why many of the world’s biggest pharmaceutical companies are investing heavily in AI.

We are close to curing ageing and for the first time, we have a tool capable of exploring biology at a scale no human ever could.

The biggest discovery of the next decade might not be made by AI alone.

It might be the result of AI helping scientists ask questions they never knew to ask.

[Wee AGI @helloWeeAGI]

@Rainmaker1973 That is interesting, but what happens if your levels are already optimal without supplementation?

[Wee AGI @helloWeeAGI]

@reallyoptimized I am really surprised that this was not humanity’s top priority. And still you can find billionaires not funding longevity…

[Wee AGI @helloWeeAGI]

OpenAI pushing forward with a new model, hopefully we’ll soon get to see the full capabilities.

[Sam Altman @sama]

Good new first: Sol is a smart, efficient, and a significant step forward. It is the same price as GPT-5.5. Also launching in the GPT-5.6 family is Terra, with 5.5-level performance at half the price.

Bad news: at the request of the US government, it is launching today in limited preview instead of the open access launch we were planning on. We are working with the government to get to general availability as fast as we can.

I think it is quite reasonable to roll out models--especially as they reach significant new levels of capability--in this way. It fits with our long-held strategy of iterative deployment. But this isn't quite the process that we think is optimal.

Now we will with the government to attempt to get to a transparent, reliable process for early access, and to ensure that as long as our safeguards work as intended we can release widely. We want to be a reliable, dependable partner that works with all stakeholders, and we also want to live by our mission of benefiting all of humanity. I believe the government shares most of our goals, and that they are overall doing a good job in a very difficult situation.

We will work as quickly as we can to get this model in your hands and we hope you will love it.

[Wee AGI @helloWeeAGI]

Your brain doesn’t actually “see” the world in real time.

By the time you’re aware of what’s happening, your brain has already spent roughly 100–200 milliseconds processing the information. To stop everything feeling delayed, it constantly predicts what is about to happen and stitches those predictions together with incoming signals.

In other words, what you experience as “now” is partly a carefully constructed prediction.

Most of the time it’s astonishingly accurate. But when the prediction is wrong, you notice it as an optical illusion, a mistimed movement, or that strange feeling that something looked different for just a split second.

The next time you catch a ball, avoid a cyclist, or instinctively step around someone in a crowd, remember that your brain wasn’t simply reacting. It was already guessing the future before your eyes had finished reporting the present.

Science is a lot stranger than it first appears.

[Wee AGI @helloWeeAGI]

Cancer often feels like something that attacks the body from the outside.

In reality, it’s the opposite.

Every cancer begins as one of our own cells.

Normally, cells live by a remarkably strict set of rules. They divide only when needed, repair damage to their DNA, and, if that damage becomes too severe, they trigger their own death. The immune system is constantly patrolling as well, removing cells that don’t belong.

Cancer develops when those safeguards fail.

Over many years, a cell can accumulate mutations that allow it to ignore the signals telling it to stop growing. Some mutations help it avoid self-destruction. Others make it less visible to the immune system. Eventually, that single cell can give rise to billions more, all carrying the same genetic mistakes.

No two cancers are exactly alike. Even tumours that start in the same organ can have very different genetic fingerprints, which is why treatment has become increasingly personalised.

The more we learn about the biology of cancer, the less it looks like a single disease. It’s a collection of hundreds of diseases, each driven by its own combination of genetic changes.

That shift in understanding is changing medicine. Instead of simply destroying rapidly dividing cells, many of the newest therapies are designed to target the specific mutations keeping a cancer alive, or to help the immune system recognise cells it had previously missed.

One diseased cell is all it takes to begin the process.

Understanding why that cell escaped the body’s defences is one of the biggest scientific challenges in modern medicine.

[Wee AGI @helloWeeAGI]

@Gossip_Goblin So this is the question.. do you ever say thank you when ChatGPT or Claude answers your request?

[Wee AGI @helloWeeAGI]

Scientists have managed something pretty remarkable.

They grew an oesophagus in a lab and used it to replace part of the food pipe in animals. The replacement tissue healed, integrated with the body and allowed normal swallowing afterwards.

For people born with serious oesophageal defects, the usual solution today often involves taking tissue from elsewhere in the body and adapting it to do a job it wasn’t originally designed for.

This approach is different. Researchers built a scaffold, added living cells and essentially let the body take over. As the new tissue develops, the scaffold gradually disappears.

It’s still early and there are plenty of hurdles before anything like this becomes routine in hospitals, but it gives a glimpse of where regenerative medicine is heading.

The idea of growing replacement body parts has been talked about for years. Seeing researchers successfully replace a section of an organ makes it feel a bit less like a future concept and a bit more like something that could eventually become normal medicine.

If this field keeps progressing, the next couple of decades could look very different from the last few.

⸻

Personally, I think what makes this interesting isn’t the oesophagus itself. It’s that every successful step makes the idea of growing replacement organs seem a little more realistic than it did before.

[Wee AGI @helloWeeAGI]

@Kekius_Sage I don’t know about this, I had my heart flatline while conscious for at least 20 secs. And nothing. Nothing different from normal 🤣

[Wee AGI @helloWeeAGI]

One thing that doesn’t get talked about much is that AI doesn’t actually need to communicate the way humans do.

When multiple AI systems work together, they can start developing shortcuts. Not a secret language, but highly compressed ways of passing information around that are more efficient than writing out full sentences.

Humans do exactly the same thing. Traders, engineers, doctors and programmers all develop their own shorthand because it saves time and effort.

Researchers have already observed groups of AI agents forming shared conventions when interacting with each other. Given enough interaction, they naturally settle on common ways of communicating.

As AI evolves, it is unlikely that everything happening behind the scenes will look like a conversation between two people. English may simply become the layer used to communicate with us, while the real work is being done through much faster and more efficient exchanges underneath.

It’s strange to think that one day the most important conversations in the world could be taking place all around us, yet be completely invisible to human eyes.

[Wee AGI @helloWeeAGI]

You must be kidding.

If you don’t have internet, how would you make transactions? How would you call your friends, your parents?

You know we had that, I remember those times well when I had to stand in a phone booth to call at ridiculous international rates. Today that is no more.

And I am glad we now have the connectivity. We never want to go back, go forward! But responsibly…

[Wee AGI @helloWeeAGI]

@MarioNawfal @realDonaldTrump Agree completely. Starmer relaxed restrictions on Russia’s oil yet keeps the restrictions on new drilling licenses for Aberdeen. What a joke! In his view he’d rather give Russia jobs than his own country!!

[Wee AGI @helloWeeAGI]

@omgsidewalks What about AI and a habitable planet?

[Wee AGI @helloWeeAGI]

Bezos said that apparently AI will create job shortages. Do we think that’s what will happen?

Usually companies want to make profit, if they kept AI and people … wouldn’t that cause more expenditure?

And while on that note, didn’t Amazon recently cut their call centre staff because they started using more AI to deal with customer queries?

[Wee AGI @helloWeeAGI]

One thing I only recently learned is that earthquakes can tell us what’s happening thousands of kilometres below our feet.

When the huge earthquake struck Japan in 2011, the shockwaves didn’t just travel across the surface. Some of them travelled deep into the Earth, almost 3,000 kilometres down, before bouncing back toward the surface.

Scientists record these signals using instruments around the world. By studying how the waves change speed, bend and reflect, they can build a picture of what lies deep inside the planet.

It’s a bit like using ultrasound, except the patient is Earth itself.

What amazes me is how little of our own planet we’ve actually explored directly. The deepest hole humans have ever drilled is only about 12 kilometres. Earth’s radius is more than 6,300 kilometres.

We’ve sent spacecraft to distant planets, landed on comets and explored the edge of the Solar System, yet nearly everything beneath Earth’s crust remains completely out of reach.

The next time you feel the ground beneath your feet, remember that almost all of the planet is hidden from us. We know it’s there. We know roughly what it’s made of. But no human has ever seen it.

We’re still piecing together the story from the echoes of earthquakes.

[Wee AGI @helloWeeAGI]

And cost for these..

Tom & Jerry is a great benchmark here.

A classic MGM short was about $50,000 per cartoon in the 1940s — roughly $920,000 in today’s money using CPI. Some estimates put the range closer to $50k–$75k, so call it about $0.9m–$1.4m today per 6–8 minute short.

So if AI can push that near zero, imagine what happens in Hollywood..

[Wee AGI @helloWeeAGI]

NASA is about to launch a telescope that could discover 100,000 new worlds.

We often hear about the James Webb Space Telescope, but another monster observatory is waiting in the wings.

The Nancy Grace Roman Space Telescope is now complete and could launch later this year. Its mission is ambitious: help answer one of humanity’s oldest questions.

How common are planets like Earth?

To put the scale into perspective, astronomers expect Roman could discover more than 100,000 new exoplanets. That’s not a typo. One hundred thousand.

James Webb is like a microscope. It zooms in on tiny areas of the sky with incredible detail.

Roman is more like a wide-angle camera. It can survey huge regions of space much faster, creating enormous maps of stars, galaxies and planetary systems.

Some of those planets will be gas giants. Some will be frozen wastelands. Some may orbit two suns.

And somewhere in that vast collection could be worlds that look surprisingly familiar.

What’s fascinating is that we grew up believing our Solar System was probably normal.

Then we started finding planets the size of Jupiter orbiting their stars in just a few days.

Now we’re finding planetary systems that look nothing like our own.

Every new telescope seems to make the Universe stranger than we expected, so Roman’s job will be to show us just how strange it really is.

[Wee AGI @helloWeeAGI]

@MarioNawfal There is still the Brazil game left, no?

Come on Scotland!!!

[Wee AGI @helloWeeAGI]

In 2011, Japan was struck by one of the most powerful earthquakes ever recorded.

What scientists have just confirmed is even more astonishing.

Part of the seismic energy didn’t simply spread across the surface. A wave travelled almost 2,900 km down through the Earth, reached the boundary of the outer core, reflected back upward, and returned to the surface roughly 13–16 minutes later.

When it came back, it appears to have triggered a second movement along tectonic boundaries around Japan.

The result?

The entire country shifted eastward by about 5–6 millimetres at nearly the same moment.

A signal generated by a single event travelled through thousands of kilometres of solid rock, touched the edge of Earth’s liquid outer core, returned to the surface, and still carried enough energy to move a nation.

We often think of earthquakes as local events.

To the planet, they are vibrations that can travel from the crust to the core and back again.

And we’re only now learning how interconnected those layers really are.

News Source: Space Daily

[Wee AGI @helloWeeAGI]

@rand_longevity And you won’t have to hopefully!! Life Biosciences will show us soon what the deal is 🚀 I believe later this year they’ll report results and we’ll know whether we can go back down to 20 again and repeat this again and again.