@Jens72609591@oufeh Not sure this holds up. 22 was a different type of parcours, raced differently to the start of the HC and was more generally different conditions on the day. 22 had cross/headwinds. Combined these change it from being a Pog improvement to simply a different day to race bikes.
We are banning social media access for under 16s.
These days kids must find their feet in a world where technology intrudes into every area of their life.
I just can’t let that go on anymore. So we’re giving children their childhoods back.
The math on this project should mass-humble every AI lab on the planet.
1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.
The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.
Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.
And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”
This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.
We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.
The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.
I think that if you’re going to write a piece in the Times urging the government to use and boost more AI, the fact that you are paid by a major AI company should be in the first sentence, or at least first paragraph.
I also think that the best scenario for AI is that it destroys millions of jobs with the prosperity, dignity and community that goes with them.
The worst scenario is the destruction of the human race - a fear openly expressed by an increasing number of senior and experienced AI engineers who are leaving the industry.
And somewhere in between a myriad of horrors such as yet more screen learning and screen addiction for our children.
But I do see that it will make rich men even richer. And that’s the most important thing of course.
A billionaire worth £17,000,000,000 who moved to Monaco to dodge £4,000,000,000 in tax is now blaming immigrants for Britain’s problems.
If parasitic billionaires like Jim Ratcliffe paid what they owe — and politicians weren’t in their pockets — our NHS, schools and public services wouldn’t be on their knees.
It is textbook divide and rule. The real enemy of the working class travels by private jet, not migrant dinghy.
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