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In Memory of Rebarcock.
As we navigate life without Pat 'Rebarcock.' Flood, who passed on Sept 21, 2025, we continue to remember the profound impact he had on our community. His support was a cornerstone for our forum. We encourage you to visit the memorial thread to share your memories and condolences. In honor of Pat’s love for storytelling, please contribute to his ‘Rebarcock tells a story’ thread. Your stories will help keep his spirit alive among us.
Master Thread Dance Your Cares Away/Fraggle/Law Abiding Citizens
- Thread starter Bryan74b
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I want to remove Graham but I don't want to vote Democrat.
It happens from time to time. For example, some senator had his daughter's wedding the day of Kavanaugh's confirmation vote, and he had someone - can't recall if it was a dem or a Susan Collins-type - agree to not vote in his absence (so the final vote was 49-48 or some such).
IMO, unless he's seriously ill, there is no excuse for missing an important vote.
I was surprised it took that long to get posted here. He was 89, that’s pretty old.
That's where I vacation. TI represent! Oh and Wood that CCP spy.
It was pretty bad in parts of Italy early on too. That’s where we found out covid is bad for the olds.
Shes got the body of a 12 year old boy. Gross but to each their own. haha SKOL!
No witnesses to their actions. I wonder why that is important?
Agreed. Zero attraction for me.
Cornyn has got to go.
In the long run, there is no difference. They occasionally conduct theater to make us think there is a difference. Graham and the dem are moving in the same direction.
Kash, if he waits until "later this summer" he won't drop anything claiming "it's near an election". We've seen this play out before.
What's the difference? Does he never have any primary challengers?
Pretty much the same people going in the same direction at this point.
@Viking I wouldn't be gentle. More a hate grudge fuck
Cornyn is and has always been a GWB RINO.
MO- Blunt is a Uniparty POS. Retiring though.
KS- Despite Trump endorsement Moran is a POS that should not be re-elected. Serious, KS can’t find a decent replacement? We are screwed.
Did the police use Long Range Acoustic Devices at the Convoy to Canberra? - Malcolm Roberts
There has been many attempts to paint anti-mandate protesters as extremists. It’s not true and even the Federal Police have said so. At the protest some people were concerned about the appearance of possible Long Range Acoustic Devices (LRAD) and whether they were used or not. We didn’t get an...
www.malcolmrobertsqld.com.au
I just called Morans office in Hays. He voted against the mandate.
I’m not voting for Rubio. Period. I’m keeping my pub registration to vote against him in the primary then dropping it and will vote for somebody else in the general.
Hard to believe people are promoting and or allowing this to happen to women's swimming sports.
Transgender swimmers break records at Ivy League Women's Championships
Transgender swimmers Iszac Henig and Lia Thomas remained unbeatable at the Ivy League Women's Championships, with both leaving their biological female rivals in their wake.
Google-Backed Artificial Intelligence Taught to Control Nuclear Fusion Reactor
Google-Backed Artificial Intelligence Taught to Control Nuclear Fusion Reactor
What could go wrong?
Google-Backed Artificial Intelligence Taught to Control Nuclear Fusion Reactor
By Katabella RobertsFebruary 17, 2022 Updated: February 18, 2022
biggersmaller
DeepMind, the UK-based subsidiary of Alphabet, Google’s parent company, has taught artificial intelligence how to control a nuclear fusion reactor.
The company announced on Feb. 16 that it had used AI to successfully control superheated matter inside a nuclear fusion reactor, and their findings are detailed in a paper published in the journal, Nature.
DeepMind whose long-term goal is to “solve intelligence, developing more general and capable problem-solving systems, known as artificial general intelligence (AGI)” was launched in 2010 and acquired by Google in 2014.
The scientific discovery company collaborated with the nuclear fusion research lab, the Swiss Plasma Center at École Polytechnique Fédérale de Lausanne on the project.
Together, they have “developed a new magnetic control method for plasmas based on deep reinforcement learning” which they applied to a real-world plasma for the first time in the SPC’s tokamak research facility, called TCV.
TCV is one of the few research centers in the world that has a tokamak in operation.
A tokamak is a doughnut-shaped vessel that makes use of magnetic fields to confine and squeeze the plasma for triggering the fusion reaction. They are leading candidates for the generation of sustainable electric power.
The first tokamak, called T-1, went into operation in Russia in 1958.
The magnetic coils used in the tokamak are high voltage which means they must be controlled carefully otherwise it runs the risk of the plasma colliding with the vessel walls and deteriorating.
To ensure this doesn’t happen, researchers at the SPC first test their control systems configurations on a simulator before using them in the tokamak.
“Our simulator is based on more than 20 years of research and is updated continuously,” said Federico Felici, an SPC scientist and co-author of the study. “But even so, lengthy calculations are still needed to determine the right value for each variable in the control system. That’s where our joint research project with DeepMind comes in.”
To solve the challenges of shaping and maintaining high-temperature plasma within the tokamak vessel, which is hotter than the surface of the sun, researchers turned to AI or a “controller design that autonomously learns to command the full set of control coils.”
DeepMind developed an AI algorithm that can create and maintain specific plasma configurations, which relates to its shape and position in the device.
The AI algorithm was then trained on the SPC’s simulator which meant it had to try a number of different control strategies in simulation to gather experience.
“Based on the collected experience, the algorithm generated a control strategy to produce the requested plasma configuration,” researchers explained.
“After being trained, the AI-based system was able to create and maintain a wide range of plasma shapes and advanced configurations, including one where two separate plasmas are maintained simultaneously in the vessel. Finally, the research team tested their new system directly on the tokamak to see how it would perform under real-world conditions.”
The AI-based system was able to successfully produce and control a diverse set of plasma configurations, including elongated, conventional shapes, as well as advanced configurations, which even included “snowflake” configurations.
“Our architecture constitutes an important step forward in terms of generality, in which a single framework is used to solve a broad variety of fusion-control challenges, satisfying several of the key promises of machine learning and artificial intelligence for fusion,” researchers wrote.
Researchers believe that nuclear fusion using magnetic confinement, in particular in the tokamak configuration, is a promising path towards sustainable energy.
However, it is not clear when fusion power will be ready for commercialization although TAE Technologies, an American company based in California developing aneutronic fusion power has said it sees commercialization by 2030.
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