In other news, JNS TV’s Meira K breaks down the significance of the change in leverage the Gulf Arabs handed POTUS when they obstructed a resumption of military operations against the Iranian regime. Hope she’s right…
“THIS IS INSANE… Trump’s Iran Delay May Be Bigger Than Anyone Realizes!”
Yep, the champion photo “editor” was FDR’s good pal, Uncle Joe Stalin.
One of Stalin’s most famous edits was removing Nikolai Yezhov from photos’ the guy who carried out Stalin’s Great Purges in the 1930s in which millions were murdered (shot, worked to death or starved to death in the gulags, etc.).
When it came to the “skill” of mass murder, Hitler was a rank amateur compared to Stalin.
Thats neat
Orwell repeated with aaronson rutherford and co victims of big brothers purge
Most of the ‘right minded’ people saw nothing wrong with it
It wasn’t just sheer courage or desperation.
According to recent examinations of almost 100 skeletons of gladiators found in a cemetery, in ancient Ephesus, the Romans who ran gladiatorial training centers, which created these gladiators, really knew what they were doing.
(For some reason I can’t find the specific article I just read about these results) *
Various genetic and other studies disclosed that these gladiator’s training regime also included specific drugs and foods to limit the damage they would suffer, make them more impervious to pain, able to become more easily enraged, and to heal more quickly.
They were drinking ash infused water to strengthen their bones, and they were also fed a diet which encouraged the growth of a layer of fat over muscle—they would bleed when their outer layer of fat was cut, but the inner layer of muscle underneath was given added protection from serious injury, and, when they fought, they were administered opium to dull pain, and henbane to encourage ferocity and disassociation from their wounds, giving them the ability to continue to fight, even though seriously wounded.
It pairs well with the video huxley posted last week I believe.
Mining the Strait again would give Iran’s regime an excuse to drag out any reopening, spoiling the first phase of the proposed deal in which blockades are supposed to end and nuclear talks continue. This is what happened after the April 7 cease-fire, when Iran’s Foreign Minister announced a gradual reopening—only for tanker traffic to decline. Talks proceeded even as Iran fired from time to time on U.S. forces and Gulf allies.
Only those interested in technical minutia will find any of the following interesting. I thought I’d waste some time trying to drill down and understand something about the bits and pieces involved in making today’s AI revolution what it is. I’m moving a bit fast and in a cursory fashion, which means some of this will likely be wrong or misstated.
Just scratching the surface:
I first I took a look at the current processors involved. Namely the Blackwell processor made by nVidia. It has a die area equivalent to 30mm square, which has about 10^11 transistors and more than 24,000 cores.
Why is a massively parallel graphics processor being used? Apparently, mathematical models of actual biological neurons are being computed using the math cores in these processors.
Then this trivia item popped up. Many are using the Python language. ??? I know of it, but haven’t wasted any time learning it. What are the hot languages today? Supposedly this:
TIOBE Index Overview for 2025
In 2025, Python remained the dominant programming language, with C# winning Tiobe’s Programming Language of the Year for the second time, and R making a notable return to the top 10.
Year-End Snapshot (December 2025)
By the end of 2025, the TIOBE index showed a stable upper tier:
Python led at 23.64%, maintaining its long-term dominance TechRepublic.
C ranked second at 10.11%, with C++ third at 8.95%.
Java was fourth at 8.70%, and C# fifth at 7.26%, posting the strongest month-to-month gain in the upper ranks (+2.39%) TechRepublic.
Mid-tier languages like JavaScript (6th, 2.96%) and Visual Basic (7th, 2.81%) held steady, while SQL climbed to 8th, Perl to 9th, and R entered the top 10 at 10th TechRepublic.
Key 2025 Trends
R’s resurgence: R’s return to the top 10 was linked to renewed demand for statistical and analytical tooling, fitting “statisticians and data scientists like a glove” TechRepublic.
C#’s rise: C# won Tiobe’s Programming Language of the Year for 2025 after the largest year-over-year increase in the index (+2.94 points), reaching 7.39% in January 2026 InfoWorld+1. Tiobe CEO Paul Jansen credited C#’s cross-platform shift and open-source adoption for its growth.
Java’s resilience: Java held steady in third place despite competition from C# in business software adtmag.com.
Declines: Go and Ruby fell out of the top 20, while Delphi/Object Pascal dropped from the top 10.
C comes in second place?? Ha! And C# has survived?
Reporter: TONIGHT, UNDER PRESSURE FROM SOARING GAS PRICES, PRESIDENT TRUMP IS BRUSHING OFF ANY CONCERNS THAT THE IRAN WAR WILL HURT REPUBLICANS THIS NOVEMBER. AND HE HAS THIS WARNING AS HE NEGOTIATES WITH IRAN’S REGIME.
President Trump: “THEY THOUGHT THEY WERE GOING TO OUTWAIT ME. ‘WE’LL OUTWAIT HIM, HE’S GOT THE MIDTERMS.’
I DON’T CARE ABOUT THE MIDTERMS.
LOOK WHAT HAPPENED LAST NIGHT. THAT WAS THE PRELUDE TO THE MIDTERMS. PEOPLE UNDERSTAND THAT.
THEY KNOW IT’S VERY SIMPLE, IRAN CANNOT HAVE A NUCLEAR WEAPON.”
And poll after poll backs that up.
Around 75% of Americans see Iran’s potential nuclear weapons development as a major concern or critical threat (consistent across multiple polls, including Gallup and Chicago Council).
Two-thirds of Americans say preventing Iran from obtaining nuclear weapons should be an “extremely or very important” U.S. foreign policy goal.
President Trump has carefully laid the case that it is Iran that is preventing an end to the conflict. The President is going to do whatever is necessary to ensure Iran will never have a nuclear weapon.
When put in those stark terms, I think the American public will be willing to put up with some short term pain to see this conflict to its proper resolution.
@ crasey > “In other news, JNS TV’s Meira K breaks down the significance of the change in leverage the Gulf Arabs handed POTUS when they obstructed a resumption of military operations against the Iranian regime. Hope she’s right”
That was a very interesting analysis, and I also hope she is correct, but it is still tea leaf reading from a distance, and not necessarily the Trump strategy at all.
However, the situation in re Somaliland involves the same players as the Abraham Accords she discusses, and, despite normalizing some relationships with Israel, there appears to be a line that they don’t want crossed.
Python itself isn’t the important bit, it is the packages in the Python scientific ecosystem. Grok explains its success this way:
Why NumPy Won:
* Vectorization: It lets you do fast mathematical operations on entire arrays at once (using optimized C code), instead of slow Python loops. AI needs billions of operations, so this speed boost was critical.
* Efficient arrays: NumPy’s ndarray stores data in a fast, memory-efficient way, perfect for matrices and tensors used in neural networks.
* Linear algebra: It provided high-performance tools for dot products, matrix multiplications, etc. — the core math of machine learning.
* Foundation effect: By the time deep learning took off (around 2012–2015), NumPy was already the standard in scientific Python.
In essence, NumPy turned Python from a slow scripting language into a practical tool for heavy numerical computing, making it the de-facto language for AI.
That’s why modern frameworks like PyTorch and JAX still use NumPy-like syntax and design.
I would add that it is free, the arrays are inherently multidimensional, and it has good support for many data types The newer packages are NumPy like and take advantage of such things as GPUs and specialized AI chips. They can be much faster, but NumPy is the prototype. There is currently a lot of work in making the different systems interoperate with each other.
I have a 25 year involvement in NumPy development and it has been an interesting ride.
Re: Python
Charles R Harris gives a good technical rundown on Python’s killer ecosystem. He’s right.
I jumped on Python early in the 2000s. For me it is a Swiss Army knife for all kinds of programming, though not for desktop apps or web app frontends or system code. I often prototype things in Python.
It’s also a surprisingly pleasant programming language, even for beginners. I tell people interested in programming to start with Python.
@TommyJay: C comes in second place?? Ha! And C# has survived?
Well, all the major operating system kernels — Windows, Linux, macOS and other Unix variants — are written in C. Plus C is the dominant language for embedded systems, things like microwave ovens. Arguably, the whole world runs on C.
Microsoft brought in an outside team to write C# and it turned out surprising well as a language sitting between C++ and Java. Yes, I was surprised too. Apparently they’ve kept up the good work.
For the past few years I’ve been learning Clojure, a dialect of Lisp which runs on top of Java, giving it access to Java machines and Java libraries.
Clojure was released in 2007 and was hot for a while as the Great Lisp Hope, but Lisp is too weird for most programmers. Even MIT, Lisp’s birthplace, has phased out Lisp as the CS intro language and replaced it with Python.
Clojure has dropped to 43 in the TIOBE rankings. I still love it.
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Just the kind of palate cleanser needed.
In other news, JNS TV’s Meira K breaks down the significance of the change in leverage the Gulf Arabs handed POTUS when they obstructed a resumption of military operations against the Iranian regime. Hope she’s right…
“THIS IS INSANE… Trump’s Iran Delay May Be Bigger Than Anyone Realizes!”
https://youtu.be/7cAyPrgORs4
Yep, the champion photo “editor” was FDR’s good pal, Uncle Joe Stalin.
One of Stalin’s most famous edits was removing Nikolai Yezhov from photos’ the guy who carried out Stalin’s Great Purges in the 1930s in which millions were murdered (shot, worked to death or starved to death in the gulags, etc.).
When it came to the “skill” of mass murder, Hitler was a rank amateur compared to Stalin.
Thats neat
Orwell repeated with aaronson rutherford and co victims of big brothers purge
Most of the ‘right minded’ people saw nothing wrong with it
It wasn’t just sheer courage or desperation.
According to recent examinations of almost 100 skeletons of gladiators found in a cemetery, in ancient Ephesus, the Romans who ran gladiatorial training centers, which created these gladiators, really knew what they were doing.
(For some reason I can’t find the specific article I just read about these results) *
Various genetic and other studies disclosed that these gladiator’s training regime also included specific drugs and foods to limit the damage they would suffer, make them more impervious to pain, able to become more easily enraged, and to heal more quickly.
They were drinking ash infused water to strengthen their bones, and they were also fed a diet which encouraged the growth of a layer of fat over muscle—they would bleed when their outer layer of fat was cut, but the inner layer of muscle underneath was given added protection from serious injury, and, when they fought, they were administered opium to dull pain, and henbane to encourage ferocity and disassociation from their wounds, giving them the ability to continue to fight, even though seriously wounded.
• See https://www.youtube.com/watch?v=vePmxJH13Wo
WSJ lead editorial today is about Iran
https://www.wsj.com/opinion/iran-skirmish-strait-of-hormuz-hezbollah-lebanon-israel-u-s-deal-f5bdbcdf?st=9qJL8o
It pairs well with the video huxley posted last week I believe.
Only those interested in technical minutia will find any of the following interesting. I thought I’d waste some time trying to drill down and understand something about the bits and pieces involved in making today’s AI revolution what it is. I’m moving a bit fast and in a cursory fashion, which means some of this will likely be wrong or misstated.
Just scratching the surface:
I first I took a look at the current processors involved. Namely the Blackwell processor made by nVidia. It has a die area equivalent to 30mm square, which has about 10^11 transistors and more than 24,000 cores.
Why is a massively parallel graphics processor being used? Apparently, mathematical models of actual biological neurons are being computed using the math cores in these processors.
Then this trivia item popped up. Many are using the Python language. ??? I know of it, but haven’t wasted any time learning it. What are the hot languages today? Supposedly this:
TIOBE Index Overview for 2025
C comes in second place?? Ha! And C# has survived?
And poll after poll backs that up.
President Trump has carefully laid the case that it is Iran that is preventing an end to the conflict. The President is going to do whatever is necessary to ensure Iran will never have a nuclear weapon.
When put in those stark terms, I think the American public will be willing to put up with some short term pain to see this conflict to its proper resolution.
Trump says he’s not thinking about politics during Iran nuclear talks
https://www.youtube.com/watch?v=LG79qRCtZzg
@ crasey > “In other news, JNS TV’s Meira K breaks down the significance of the change in leverage the Gulf Arabs handed POTUS when they obstructed a resumption of military operations against the Iranian regime. Hope she’s right”
That was a very interesting analysis, and I also hope she is correct, but it is still tea leaf reading from a distance, and not necessarily the Trump strategy at all.
However, the situation in re Somaliland involves the same players as the Abraham Accords she discusses, and, despite normalizing some relationships with Israel, there appears to be a line that they don’t want crossed.
https://thenewneo.com/2026/05/27/somaliland-vs-somilia/#comment-2852918
John Galt III on May 27, 2026 at 7:33 pm said:
“Somaliland just announced they are opening their own embassy in Jerusalem and 17 Muslim Garbage Dumps were offended.”
Many are using the Python language.
Python itself isn’t the important bit, it is the packages in the Python scientific ecosystem. Grok explains its success this way:
Why NumPy Won:
* Vectorization: It lets you do fast mathematical operations on entire arrays at once (using optimized C code), instead of slow Python loops. AI needs billions of operations, so this speed boost was critical.
* Efficient arrays: NumPy’s ndarray stores data in a fast, memory-efficient way, perfect for matrices and tensors used in neural networks.
* Linear algebra: It provided high-performance tools for dot products, matrix multiplications, etc. — the core math of machine learning.
* Foundation effect: By the time deep learning took off (around 2012–2015), NumPy was already the standard in scientific Python.
In essence, NumPy turned Python from a slow scripting language into a practical tool for heavy numerical computing, making it the de-facto language for AI.
That’s why modern frameworks like PyTorch and JAX still use NumPy-like syntax and design.
I would add that it is free, the arrays are inherently multidimensional, and it has good support for many data types The newer packages are NumPy like and take advantage of such things as GPUs and specialized AI chips. They can be much faster, but NumPy is the prototype. There is currently a lot of work in making the different systems interoperate with each other.
I have a 25 year involvement in NumPy development and it has been an interesting ride.
Re: Python
Charles R Harris gives a good technical rundown on Python’s killer ecosystem. He’s right.
I jumped on Python early in the 2000s. For me it is a Swiss Army knife for all kinds of programming, though not for desktop apps or web app frontends or system code. I often prototype things in Python.
It’s also a surprisingly pleasant programming language, even for beginners. I tell people interested in programming to start with Python.
@TommyJay: C comes in second place?? Ha! And C# has survived?
Well, all the major operating system kernels — Windows, Linux, macOS and other Unix variants — are written in C. Plus C is the dominant language for embedded systems, things like microwave ovens. Arguably, the whole world runs on C.
Microsoft brought in an outside team to write C# and it turned out surprising well as a language sitting between C++ and Java. Yes, I was surprised too. Apparently they’ve kept up the good work.
For the past few years I’ve been learning Clojure, a dialect of Lisp which runs on top of Java, giving it access to Java machines and Java libraries.
Clojure was released in 2007 and was hot for a while as the Great Lisp Hope, but Lisp is too weird for most programmers. Even MIT, Lisp’s birthplace, has phased out Lisp as the CS intro language and replaced it with Python.
Clojure has dropped to 43 in the TIOBE rankings. I still love it.