John Valentine

Following the interesting

[Daniel Horowitz @RMConservative]

If Trump would order a bill tomorrow BEFORE the election to abolish H-1b, a lot of dems would be placed in a pickle. The fact that there was never such an effort, along with many other issues that could have either garnered or pressured bipartisan support, is very revealing. It's always about the power you give them tomorrow, never about the here and now. I'm sick of the hamster wheel.

[ThePatrioticBlonde™🇺🇸 @ImBreckWorsham]

Dear GOP....Remember three months ago when you primaried the fuck out of Thomas Massie with Israeli money and then mocked us when he "lost?"

And now you expect us to show up for you in the midterms?

Politely go fuck yourselves.

You don’t get to burn the bridge and then demand we cross it.

[John Valentine @OmegaDisrupt]

150,000 reasons 2026 election is NOT on the level.

That is the number of addresses - in each swing state - where a legal ballot can be sent today - but not a voter there.

@Stephen_richer telling you elections are safe - the aren't

https://t.co/O7RUzquZnT

[John Valentine @OmegaDisrupt]

Free electricity from data centers?

Total BS shill article from @JohnTamny today:

https://t.co/X19G8OaBLc

Low I/O techs now cut electric power needs over 95% - leaving these as stranded assets

https://t.co/0H7V8b6PEs
@edzitron

[Jason Bassler @JasonBassler1]

🚨💰 Pete Hegseth just tapped Elon Musk, Palmer Luckey and Newt Gingrich to lead "Project Meridian," to advise on future warfare and the tech behind it.

SpaceX and Anduril already collect MASSIVE Pentagon contracts. Now they get to help steer it.

Peak cronyism energy.

[Gregory M. Kurtzer @gmkurtzer]

This argument is getting old.

I’ve participated in it far more than I ever thought I would, but here we go again because I’m increasingly convinced that many of the people arguing that LLMs are conscious, or even open to the possibility, just don’t understand how LLMs actually work, so here is context.

This is not a debate about understanding what consciousness is or comparing observations to human experience. It’s about understanding the capabilities and mechanics of the LLM, nothing further.

First off, how LLMs work is understood. There isn’t magic happening inside the model. The calculations an LLM performs are known mathematical operations. Matrix multiplication, attention, normalization, nonlinear functions, probability calculations, etc.

Every operation is defined, implemented, and understood. In theory, you could work through an inference by hand if you were sufficiently masochistic. :-)

But what makes it difficult isn’t some unknown computation happening inside the model. It’s the absolutely enormous scale of computations operating across billions of learned parameters.

But scale does not magically transform computer software into a self-aware consciousness, but it does get more convincing at emulating it.

LLMs learn what they know during a training process. After training their “brain” is effectively locked. During normal inference (using the AI), the model does not continue learning, grow, or modify its weights based on its experiences or conversations.

When you start a new interaction with a model, the model itself has no inherent knowledge of your previous conversations with it. None. It doesn’t remember talking to you yesterday because that conversation wasn’t learned into its weights. The model itself is static.

The apparent continuity was engineered in the surrounding system. This includes previous conversations, stored memories, accessed summaries, preferences, tool results, and other information can be assembled into context and supplied to the model along with your current input.

In other words, the model isn’t remembering the previous conversation. The system is telling the model about the previous conversation again, every time, like it’s the first time.

That’s what might sorta resemble short-term memory. The continuity exists in the context supplied during inference, not as new knowledge learned by the model. Long-term memory is also emulated via tool calls and vector databases outside of the model, and then injected into the context.

It has to be done this way because the model (its “brain”) is completely static, it can’t change.

And there’s a limit. When there’s too much information, some of that context has to be discarded, summarized, compressed, or selectively retrieved to fit within the available context window.

Note: A later version of the model can be trained or fine-tuned using data that includes previous interactions, but that’s a separate training process that produces a new version of the model’s weights. The deployed model did not learn that interaction during inference.

And between inference calls, the model stops computing entirely. There is no thinking, no ongoing inference, contemplation, consideration, or processing of the passage of time. Its weights simply sit there unchanged until the model is invoked again.

Yet somehow, some people decided this is analogous to human consciousness and self-awareness?

Maybe their own weights are frozen and they ran out of context window! ;-)

And if you think anything I’ve said here is technically incorrect, go research it yourself. The tooling necessary to build the model architecture, train it, and run inference is all available as open source on GitHub.

If you want to debate anything I said, go review the source code and point me to the lines where you think the consciousness is.

[Wess Nyle @WessNyleSound]

@EricLDaugh @grok who/what the fuck is that

[Kyle Seraphin @KyleSeraphin]

This is who the GOP trots out to motivate voter turnout. Good luck, America.

[theleahfiles @leahfiles]

A few things I found while building the 2026 Midterm Candidate Due Diligence site.

Ken Paxton Jr. has raised over $87M from outside groups for this election, AIPAC looks to be buying MD candidates, and AI and Data Centers are buying Darline Graham. Jeff Yass and Miram Adelson lead the individual contributors with Elon Musk in the top 4. And nationally there is $1.75 billion in outside money this cycle.

It's getting messy in the Midterm streets. But you no longer have to be blind to who owns your candidate.

You can look each candidate up by state and district.

Link to the site is in my pinned post.

I hope you all are enjoying it!

[John Valentine @OmegaDisrupt]

@EagleEdMartin There is zero chance Trump will declare any kind of emergency on election matters. The people around him know 99% of the voter integrity types are whackos and nobody in America believes them.

Never happen.

https://t.co/O7RUzquryl

[Subliminal7 @Subliminal73]

@JessicaTarlov
sorry to burst your bubble but every poll that you use sucks,
@trafalgar_group and @insiderPolling are the only ones that use pure math & logic, and they do not poll every 5 seconds, it is also the reason they are almost always correct.

On a sidenote I just added OSZ.
@TheFive @FoxNews @greggutfeld.

[ThePatrioticBlonde™🇺🇸 @ImBreckWorsham]

The script has been issued.

[Ron Paul @RonPaul]

The proposed $1.5 military budget for next year is only the tip of the iceberg.

Actual military spending and military-related spending will bring the bill up closer to $2.5 trillion.

Is this sustainable?

Also today: Trump is sending another Carrier Group to the Middle East. More war on the way?

Watch @RonPaul & @DanielLMcAdams below:

[Roger @rdd147]

@BubbaGde

[John Valentine @OmegaDisrupt]

@rdd147 https://t.co/0H7V8b7nu0

[John Valentine @OmegaDisrupt]

@edzitron @DarioCpx https://t.co/0H7V8b7nu0

[John Valentine @OmegaDisrupt]

@PramilaJayapal This is nonsense. A.I. is nothing more than pattern matching - this is a HOAX. https://t.co/0H7V8b6PEs

[John Valentine @OmegaDisrupt]

@MaryBowdenMD Caputo is a political hack, low level grunt in HHS years ago - BS-ing people that he is in hiding because the bad guys are chasing him.

[Maine @TheMaineWonk]

Today’s MAGA Influencer Marching Orders went out.

They’re freaking the fuck out.

[John Valentine @OmegaDisrupt]

@MarioNawfal We do not need more compute - we have 1,000 times thet compute we think we have.

Low I/O technologies are unlocking this every day. https://t.co/0H7V8b7nu0