Every now and then when your life gets complicated and the weasels start closing in, the only cure is to load up on heinous chemicals and then drive like a bastard from Hollywood to Las Vegas ... with the music at top volume and at least a pint of ether.
Stanley Druckenmiller:
"So, I’ll never forget it. January of 2000 I go into Soros’s office and I say I’m selling all the tech stocks, selling everything. This is crazy…at 104 times earnings. This is nuts.
Just kind of as I explained earlier, we’re going to step aside, wait for the next fat pitch. I didn’t fire the two gunslingers. They didn’t have enough money to really hurt the fund, but they started making 3 percent a day and I’m out. It is driving me nuts.
I mean their little account is like up 50 percent on the year. I think Quantum was up seven. It’s just sitting there.
So like around March I could feel it coming. I just, I had to play. I couldn’t help myself. And three times the same week I pick up a, don’t do it. Don’t do it.
Anyway, I pick up the phone finally. I think I missed the top by an hour. I bought $6 billion worth of tech stocks, and in six weeks I had left Soros and I had lost $3 billion in that one play.
You asked me what I learned. I didn’t learn anything. I already knew that I wasn’t supposed to do that. I was just an emotional basket case and couldn’t help myself. So, maybe I learned not to do it again, but I already knew that."
LinkedIn bends the knee for Israel and Mossad.
They specifically search to "anti-zionist" hints in your web browser plugin context, encrypt the data and send to Israeli firm.
LinkedIn’s scan reveals the religious beliefs, political opinions, disabilities, and job search activity of identified individuals. LinkedIn scans for extensions that identify practicing Muslims, extensions that reveal political orientation, extensions built for neurodivergent users, and 509 job search tools that expose who is secretly looking for work on the very platform where their current employer can see their profile.
https://t.co/tL9weBgK3h
Stage 1: Fire your expensive, senior coders, QA staff and long term managers.
Stage 2: Replace senior staff with young, cheap H1B programmers and managers
Stage 3: Make believe that H1Bs + AI are going to be better than older, laid off senior staff
Stage 4: Management gets bonuses for cost cutting. Congratulate themselves.
Stage 5: Systems blow up due to loss of experienced developers, etc
Stage 6: Blame AI rather than management's decision to decimate skilled staff.
Stage 7: Get new inexperienced H1B managers to review all code generated by young H1B developers
Stage 8: Now organization is much less efficient than pre-mass layoffs.
About human thoughts:
Scientists mapped 1 mm³ of a human brain, less than a grain of rice, and microscopic cosmos appeared.
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.
This is enraging. You pay $12,000- $20,000 per night for a hospital stay, and they are so cheap they feed captive patients carcinogenic slop because it’s economically more friendly.
Burn victims used to be fed at least a dozen eggs a day to help with the healing process. Now they are fed corn syrup and soy to keep costs down.
The hospital executive making $900,000 a year wouldn’t feed this to his dog, but you on the other hand..