@filemot@WalkerMarcus@MicrosoftUK@Microsoft Ironically we kept asking our IT support/ Microsoft specialist and they told us to just ignore it, nothing would change. Time for new support team it seems.
@WalkerMarcus@MicrosoftUK@Microsoft Sadly-it seems that way. I had to downgrade managers to Basic accounts (free) in MS admin platform for the time being. Thankfully they can get their work done with a basic accounts. Thank for the heads up!
@sharongregson@AM1150 Time is of the essence to fix funding models- we are now having to make difficult decisions about quality programs that are in their sunset phase if something doesn’t change. #hotlunch#extendedhours
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.
Reaction to BC Budget 2026 from the Coalition of Child Care Advocates and Early Childhood Edcators of BC https://t.co/8po0z3EQSL #childcarebc#10adaychildcare
@cardusca Waiting lists are not an appropriate proxy to evaluate the success of the program. These days waiting lists may be more tied to parents seeking quality over access.
Hopefully this will be a game changer for stabilising childcare staff at Sun Peaks Early Learning Centre. Kamloops to Sun Peaks commute is not sustainable.
#Kamloops . Chat provided interesting information about medical billing for maternity doctors. News to me. Could this be a reason why we’re losing so many? Billing definitely doesn’t seem equitable.
“So, if I'm thinking of moving to Kamloops and I'm a professional with kids, wow, there's no child care available, I'm not going to Kamloops," Bass said. "Childcare impacts every aspect of life and, in the end, what this is doing is harming the future, because it's harming the children." https://t.co/SGJcRQ3uh9
Story of the July 4th, Grizzly attack of a wildland firefighter near Fort Nelson. So relieved their crew were nearby and they got medical attention quickly.
https://t.co/oMSMqtiC6F