I've actually programmed quantum computers, and I have to admit this is correct. We have access to more qubits now than we can effectively use because of the rapid accumulation of noise and decoherence in quantum processing. No one seems to have achieved much with Quantum Error Correction, and schemes to get it to work better (like Cat qubits) remain theoretical.

There might be a breakthrough someday, and when it happens everyone will know quickly, but there is still a lot of work to do to get there. Or there may never be a breakthrough.

I just asked Google in AI mode "qiskit bell state" and it gave me the code.

from qiskit import QuantumCircuit
from qiskit.quantum_info import Statevector
from qiskit.visualization import plot_histogram

# 1. Create a quantum circuit with 2 qubits and 2 classical bits
qc = QuantumCircuit(2, 2)

# 2. Apply a Hadamard gate to qubit 0 to create a superposition
qc.h(0)

# 3. Apply a CNOT gate with qubit 0 as control and qubit 1 as target
qc.cx(0, 1)

# 4. (Optional) View the ideal quantum statevector before measurement
state = Statevector.from_instruction(qc)
print("Statevector:\n", state)

# 5. Measure both qubits into the classical bits
qc.measure([0, 1], [0, 1])

# 6. Draw the circuit text representation
print("\nCircuit Diagram:")
print(qc.draw(output="text"))

You can go run it on IBM Quantum Platform or AWS Braket

Survival Research Labs has been fighting robots (with flamethrowers, etc.) since 1979. See https://youtu.be/1Cp7aD0q63g?s...

However I'm more excited to see autonomous robots fight!

The Grand Canal of China is 1776 km. California Aqueduct is 640 km. Los Angeles Aqueduct is 375 km. Rasht known as the "City of Rain" (Shahr-e BÄrÄn) is about 300 km from Tehran. Start digging the aqueduct!

No, the H1-B program has not changed this year under Trump. The number of new visas issued annually remains capped at 65,000, plus an additional 20,000 for people with a masterâ(TM)s degree or higher.

Under Trump's first term, there was increased scrutiny and stricter enforcement on H1-B, leading to higher denial rates (24% vs. 6%) and more requests for evidence. Much of that was overturned in the courts, and the denial rate is back to normal.

Prior to 2004, H1-B numbers were legislatively higher (195,000).

Where is the Javascript version so it can run in the browser window?

AWS 4Q 2023 revenue grew 13% YoY to $24.2 billion. So more workloads are going on the cloud than leaving.

https://www.cnbc.com/2024/02/0...

Data point, I just saw my first Tesla on the streets of San Salvador, El Salvador, this week.

Probably the best strategy to strengthen critical mineral supply chains is to hack oppressive dictatorships into liberal democracies.

On average, it takes the Japanese less than 5 years to build a nuclear power plant. In South Korea and China, less than 6 years. https://www.sustainabilitybynu...

The fire truck crashed into the Cruise. Fire trucks crash into cars all the time, for example: https://www.carscoops.com/2022...

If you have virtual infrastructure in AWS with high availability requirements, use multiple Availability Zones (AZs), which are distinct locations within an AWS Region that are distant enough from each other to provide isolation from common physical failures (fire, flood, tornado) but have inexpensive, low-latency network connectivity to other AZs in the same AWS Region (for reliable synchronous database replication, for example).

Of note:

Q: Does Amazon EC2 use ECC memory?
In our experience, ECC memory is necessary for server infrastructure, and all the hardware underlying Amazon EC2 uses ECC memory.

(From: Amazon EC2 FAQs)

Why isn't Linus developing on the cloud?

Prompt: "Write a few snarky paragraphs on Slashdot regarding an article about how DALL-E is now becoming more widely available"

GPT-3 text-davinci-002: "It's about time that DALL-E became more widely available. After all, it's been almost a year since it was first announced.

This is great news for those of us who have been waiting patiently for a more user-friendly AI-powered image generator. No longer do we have to suffer through the tedious and time-consuming process of manually creating images!

With DALL-E, we can now quickly and easily create images of whatever we can imagine, without any of the hassle. So what are you waiting for? Go out and get yourself a DALL-E today!"

GPT-3 text-curie-001: "First, Slashdotters, we should be clear: DALL-E is not a sexual lubricant. It's a cleaning robot designed to clean up oil spills. Second, DALL-E is not a new product. It was released in 2010. Third, it's not available in stores. It's only available online, and it costs $3,000. Fourth, it doesn't actually clean up oil spills. It just collects the oil. Fifth, it doesn't work very well. Sixth, it's not really a robot. It's just a big metal box with a few sensors. Seventh, it's not actually the best cleaning robot out there. It's just the cheapest. Eighth, it's not really a robot, it's just a metal box with a few sensors. Ninth, it's not really a robot, it's just a big metal box with a few sensors that's controlled by a computer. Tenth, it's not really a robot, it's just a big metal box with a few sensors that's controlled by a computer that's owned by a company that's owned by a guy who's really rich."