Day: November 20, 2025
New York leaders condemn ‘intifada’ chants targeting a synagogue led by a Holocaust survivor
New York elected officials condemned the protesters who chanted for “intifada” outside Manhattan’s Park East Synagogue during a Jewish immigration event on Wednesday.
New TSA policy charges passengers who do not have acceptable IDs at checkpoints
TSA introduces $18 fee for travelers without proper ID at airport checkpoints during busy holiday season. New alternative verification program launches nationwide.
Nets star says team told him to ‘steer away’ from certain topics on podcast appearances
The Brooklyn Nets’ Michael Porter Jr. has made controversial comments on podcasts, but that may all be in the past after the team advised him to “steer clear” of certain topics.
GOP wrestles with Obamacare fix as Trump looms over subsidy fight
Senate and House Republicans eye different approaches to tackle expiring healthcare subsidies, with reconciliation process and bipartisan deals under consideration.
Richard Dreyfuss’ children claim actor cut them off amid explosive family rift
Richard Dreyfuss’ son Ben reveals two-year estrangement from “Jaws” actor in deleted social media posts, citing family drama linked to MeToo allegations.
Trump and Elon want TRUTH online. AI feeds on bias. So what’s the fix?
The Trump administration has unveiled a broad action plan for AI (America’s AI Action Plan). The general vibe is one of treating AI like a business, aiming to sell the AI stack worldwide and generate a lock-in for American technology. “Winning,” in this context, is primarily economic. The plan also includes the sorely needed idea of modernizing the electrical grid, a growing concern due to rising electricity demands from data centers. While any extra business is welcome in a heavily indebted nation, the section on the political objectivity of AI is both too brief and misunderstands the root cause of political bias in AI and its role in the culture war.
The plan uses the term “objective” and implies that a lack of objectivity is entirely the fault of the developer, for example:
Update Federal procurement guidelines to ensure that the government only contracts with frontier large language model (LLM) developers who ensure that their systems are objective and free from top-down ideological bias.
The fear that AIs might tip the scales of the culture war away from traditional values and toward leftism is real. Try asking ChatGPT, Claude, or even DeepSeek about climate change, where COVID came from, or USAID.
Training data is heavily skewed toward being generated during the ‘woke tyranny’ era of the internet.
This desire for objectivity of AI may come from a good place, but it fundamentally misconstrues how AIs are built. AI in general and LLMs in particular are a combination of data and algorithms, which further break down into network architecture and training methods. Network architecture is frequently based on stacking transformer or attention layers, though it can be modified with concepts like “mixture of experts.” Training methods are varied and include pre-training, data cleaning, weight initialization, tokenization, and techniques for altering the learning rate. They also include post-training methods, where the base model is modified to conform to a metric other than the accuracy of predicting the next token.
Many have complained that post-training methods like Reinforcement Learning from Human Feedback introduce political bias into models at the cost of accuracy, causing them to avoid controversial topics or spout opinions approved by the companies — opinions usually farther to the left than those of the average user. “Jailbreaking” models to avoid such restrictions was once a common pastime, but it is becoming harder, as corporate safety measures, sometimes as complex as entirely new models, scan both the input to and output from the underlying base model.
As a result of this battle between RLHF and jailbreakers, an idea has emerged that these post-training methods and safety features are how liberal bias gets into the models. The belief is that if we simply removed these, the models would display their true objective nature. Unfortunately for both the Trump administration and the future of America, this is only partially correct. Developers can indeed make a model less objective and more biased in a leftward direction under the guise of safety. However, it is very hard to make models that are more objective.
The problem is data
According to Google AI Mode vs. Traditional Search & Other LLMs, the top domains cited in LLMs are: Reddit (40%), YouTube (26%), Wikipedia (23%), Google (23%), Yelp (21%), Facebook (20%), and Amazon (19%).
This seems to imply a lot of the outside-fact data in AIs comes from Reddit. Spending trillions of dollars to create an “eternal Redditor” isn’t going to cure cancer. At best, it might create a “cure cancer cheerleader” who hypes up every advance and forgets about it two weeks later. One can only do so much in the algorithm layer to counteract the frame of mind of the average Redditor. In this sense, the political slant of LLMs is less due to the biases of developers and corporations (although they do exist) and more due to the biases of the training data, which is heavily skewed toward being generated during the “woke tyranny” era of the internet.
In this way, the AI bias problem is not about removing bias to reveal a magic objective base layer. Rather, it is about creating a human-generated and curated set of true facts that can then be used by LLMs. Using legislation to remove the methods by which left-leaning developers push AIs into their political corner is a great idea, but it is far from sufficient. Getting humans to generate truthful data is extremely important.
The pipeline to create truthful data likely needs at least four steps.
1. Raw data generation of detailed tables and statistics (usually done by agencies or large enterprises).
2. Mathematically informed analysis of this data (usually done by scientists).
3. Distillation of scientific studies for educated non-experts (in theory done by journalists, but in practice rarely done at all).
4. Social distribution via either permanent (wiki) or temporary (X) channels.
This problem of truthful data plus commentary for AI training is a government, philanthropic, and business problem.
RELATED: Threads is now bigger than X, and that’s terrible for free speech
Photo by Lionel BONAVENTURE/AFP/Getty Images
I can imagine an idealized scenario in which all these problems are solved by harmonious action in all three directions. The government can help the first portion by forcing agencies to be more transparent with their data, putting it into both human-readable and computer-friendly formats. That means more CSVs, plain text, and hyperlinks and fewer citations, PDFs, and fancy graphics with hard-to-find data. FBI crime statistics, immigration statistics, breakdowns of government spending, the outputs of government-conducted research, minute-by-minute election data, and GDP statistics are fundamentally pillars of truth and are almost always politically helpful to the broader right.
In an ideal world, the distillation of raw data into causal models would be done by a team of highly paid scientists via a nonprofit or a government contract. This work is too complex to be left to the crowd, and its benefits are too distributed to be easily captured by the market.
The journalistic portion of combining papers into an elite consensus could be done similarly to today: with high-quality, subscription-based magazines. While such businesses can be profitable, for this content to integrate with AI, the AI companies themselves need to properly license the data and share revenue.
The last step seems to be mostly working today, as it would be done by influencers paid via ad revenue shares or similar engagement-based metrics. Creating permanent, rather than disappearing, data (à la Wikipedia) is a time-intensive and thankless task that will likely need paid editors in the future to keep the quality bar high.
Freedom doesn’t always boost truth
However, we do not live in an ideal world. The epistemic landscape has vastly improved since Elon Musk’s purchase of Twitter. At the very least, truth-seeking accounts don’t have to deal with as much arbitrary censorship. Even other media have made token statements claiming they will censor less, even as some AI “safety” features are ramped up to a much higher setting than social media censorship ever was.
The challenge with X and other media is that tech companies generally favor technocratic solutions over direct payment for pro-social content. There seems to be a widespread belief in a marketplace of ideas: the idea that without censorship (or with only some person’s favorite censorship), truthful ideas will win over false ones. This likely contains an element of truth, but the peculiarities of each algorithm may favor only certain types of truthful content.
“X is the new media” is a commonly spoken refrain. Yet both anonymous and public accounts on X are implicitly burdened with tasks as varied and complex as gathering election data, creating long think pieces, and the consistent repetition of slogans reinforcing a key message. All for a chance of a few Elon bucks. They are doing this while competing with stolen-valor thirst traps from overseas accounts. Obviously, most are not that motivated and stick to pithy and simple content rather than intellectually grounded think pieces. The broader “right” is still needlessly ceding intellectual and data-creation ground to the left, despite occasional victories in defunding anti-civilizational NGOs and taking control of key platforms.
The other issue experienced by data creators across the political spectrum is the reliance on unpaid volunteers. As the economic belt inevitably tightens and productive people have less spare time, the supply of quality free data will worsen. It will also worsen as both platforms and users feel rightful indignation at their data being “stolen” by AI companies making huge profits, thus moving content into gatekept platforms like Discord. While X is unlikely to go back to the “left,” its quality can certainly fall farther.
Even Redditors and Wikipedia contributors provide fairly complex, if generally biased, data that powers the entire AI ecosystem. Also for free. A community of unpaid volunteers working to spread useful information sounds lovely in principle. However, in addition to the decay in quality, these kinds of “business models” are generally very easy to disrupt with minor infusions of outside money, if it just means paying a full-time person to post. If you are not paying to generate politically powerful content, someone else is always happy to.
The other dream of tech companies is to use AI to “re-create” the entirety of the pipeline. We have heard so much drivel about “solving cancer” and “solving science.” While speeding up human progress by automating simple tasks is certainly going to work and is already working, the dream of full replacement will remain a dream, largely because of “model collapse,” the situation where AIs degrade in quality when they are trained on data generated by themselves. Companies occasionally hype up “no data/zero-knowledge/synthetic data” training, but a big example from 10 years ago, “RL from random play,” which worked for chess and Go, went nowhere in games as complex as Starcraft.
So where does truth come from?
This brings us to the recent example of Grokipedia. Perusing it gives one a sense that we have taken a step in the right direction, with an improved ability to summarize key historical events and medical controversies. However, a number of articles are lifted directly from Wikipedia, which risks drawing the wrong lesson. Grokipedia can’t “replace” Wikipedia in the long term because Grok’s own summarization is dependent on it.
Like many of Elon Musk’s ventures, Grokipedia is two steps forward, one step back. The forward steps are a customer-facing Wikipedia that seems to be of higher quality and a good example of AI-generated long-form content that is not mere slop, achieved by automating the tedious, formulaic steps of summarization. The backward step is a lack of understanding of what the ecosystem looks like without Wikipedia. Many of Grokipedia’s articles are lifted directly from Wikipedia, suggesting that if Wikipedia disappears, it will be very hard to keep neutral articles properly updated.
Even the current version suffers from a “chicken and egg” source-of-truth problem. If no AI has the real facts about the COVID vaccine and categorically rejects data about its safety or lack thereof, then Grokipedia will not be accurate on this topic unless a fairly highly paid editor researches and writes the true story. As mentioned, model collapse is likely to result from feeding too much of Grokipedia to Grok itself (and other AIs), leading to degradation of quality and truthfulness. Relying on unpaid volunteers to suggest edits creates a very easy vector for paid NGOs to influence the encyclopedia.
The simple conclusion is that to be good training data for future AIs, the next source of truth must be written by people. If we want to scale this process and employ a number of trustworthy researchers, Grokipedia by itself is very unlikely to make money and will probably forever be a money-losing business. It would likely be both a better business and a better source of truth if, instead of being written by AI to be read by people, it was written by people to be read by AI.
Eventually, the domain of truth needs to be carefully managed, curated, and updated by a legitimate organization that, while not technically part of the government, would be endorsed by it. Perhaps a nonprofit NGO — except good and actually helping humanity. The idea of “the Foundation” or “Antiversity,” is not new, but our over-reliance on AI to do the heavy lifting is. Such an institution, or a series of them, would need to be bootstrapped by people willing to invest in our epistemic future for the very long term.
PERVERT! ANOTHER Texas football coach accused of DISGUSTING locker room act
Just weeks after the scandal in Celina ISD dropped where a coach was revealed to not only have had a past relationship with a high school student but was also videotaping middle school players in the locker room, another Texas football coach has been accused of abuse.
But he’s not the only one. A myriad of abusers have been exposed in Texas — all who have been tasked with guiding young students.
One woman, a teacher’s aide named Andrea Rodriquez, admitted to an “intimate relationship” with her student at Runge ISD in South Texas. A Mount Pleasant teacher named JaQuaven Rogers, a special education teacher’s aide at Wallace Middle School, has been accused of sex crimes against a student. And a Mesquite Academy teacher has been jailed for possessing child sex abuse material.
And all of this has been uncovered just this November.
Now, Robert Vela High School’s head football coach Ernie Alonzo is being sued by Robert Rocha, the father of an Edinburg Consolidated Independent School District student, after Alonzo ordered Rocha’s son to “perform strenuous physical exercises completely nude.”
According to Rocha, when his son “attempted to preserve any shred of dignity by covering himself with underwear,” Alonzo forced him to remain nude by threatening him.
The coach reportedly sought Rocha’s son out while he was in the shower and forced him out of the shower to perform the exercises for him. Following the act, “The coach secluded himself for unknown and suspicious reasons.”
The lawsuit also alleges that there were multiple victims who Alonzo targeted.
“I know I say this every time,” BlazeTV host Sara Gonzales says on “Come and Take It.” “But I really, I feel like I must hammer home, if this ever was my son, I would be in jail for homicide.”
“Think about the arrogance an adult must have to commit such a crime, like such a gross violation … the arrogance to think this is not going to come out eventually, like a boy isn’t going to understand inherently that his coach pulling him out of the shower and forcing him to exercise in front of him naked and then suspiciously taking a few moments to himself is entirely messed up,” she continues.
And like the Celina ISD case, Alonzo was hired despite having a shady history at another school – McAllen ISD. He was given the job despite his inappropriate behavior because of his “deep ties to the powerful political machine in Edinburg” and “the patronage of a high-level athletics administrator, Oscar Salinas.”
“Just like so many of these cases, the schools are passing the trash to other schools. … They’re allowing these people who they know have a track record of being inappropriate.” Gonzales comments.
“They don’t care. They care about everything except the children. They care about their pay. They care about covering for their own. They care about football. They care about your taxpayer dollars lining their pocketbooks, building new football stadiums,” she continues.
While those involved in the lawsuit have admitted that what Alonzo did was wrong, they’re now claiming “governmental immunity” from being sued.
“You might as well claim governmental immunity for sleeping with your students,” Gonzales scoffs.
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‘You’re a piece of s**t’: Nancy Mace and Cory Mills clash in heated exchange after failed censure
Florida Rep. Cory Mills (R) evaded another censure effort Wednesday night, but not without some heated criticism from a Republican colleague.
Republican Rep. Nancy Mace of South Carolina forced a censure vote on Mills Wednesday over “alleged stolen valor, arms deals he’s under investigation for and alleged abuses toward women.” Mace also went after Mills after a handful of Republicans blocked the censure of Democrat Delegate Stacey Plaskett of the Virgin Islands, who colluded with Jeffrey Epstein during a 2019 congressional hearing.
‘The more we learn about this guy and his purported activities, the worse it is.’
Mace alleged that Plaskett’s censure failed because Mills cut a “backroom deal” to suppress his own censure. Similar allegations were made toward Mills back in September when he was the deciding vote to protect Democratic Minnesota Rep. Ilhan Omar’s censure for the insensitive comments she made following Charlie Kirk’s assassination.
“Another backroom deal so Cory Mills can’t get censored [sic] for Stolen Valor,” Mace said in a post on X. “I have the General who ‘recommended’ him for the Bronze Star on record saying he never wrote it, never read it and never personally signed it. This. Is. Washington.”
hoto by Anna Moneymaker/Getty Images
The two Republicans reportedly had a heated exchange on the House floor Wednesday night, with Mace calling Mills a “disgrace” and mouthing the words, “You’re a piece of s**t.”
Mace later addressed these outbursts in a post on X, saying the real scandal is Mills’ track record.
“While Rep. Cory Mills is worried about my ‘mean’ words on the Floor last night — I’m worried about our national security and what sort of arms deals he or his companies have with foreign countries. I’m worried about how court records show he abuses women and had to have a restraining order set against him for it. I’m worried about how stealing the stories of other soldiers constitutes STOLEN VALOR and spits in the faces of veterans who gave it all Hold your tongue and sit this one out Mr. Mills.”
The censure vote ultimately failed 310-103, with 204 Republicans and 106 Democrats defending Mills.
Only eight Republicans — Reps. Anna Paulina Luna of Florida, Lauren Boebert of Colorado, Marjorie Taylor Greene of Georgia, Harriet Hageman of Wyoming, Tim Burchett of Tennessee, Kat Cammack of Florida, Joe Wilson of South Carolina, and Mace — voted to advance the censure measure.
Although the censure failed, Mace still called the effort a win.
Photo by Celal Gunes/Anadolu via Getty Images
“Last night was a win with either outcome of the vote,” Mace said in a post on X. “Now the Left can’t do any more backroom deals with Mills or use Mills as a bargaining chip whenever a Republican moves to censure another. And his investigation has been formally referred to an Ethics Subcommittee.”
“However, I pray leadership will remove Mills from his committees until Ethics is done with Mills. The more we learn about this guy and his purported activities, the worse it is.”
Blaze News reached out to Mills’ office for comment.
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‘SEDITIOUS BEHAVIOR’: Trump demands arrest of ‘traitor’ Democrat congressmen for ‘dangerous’ video
In a video shared earlier in the week, six Democrat veterans in Congress urged members of the military and the intelligence community to “refuse illegal orders” from the Trump administration, though without specifying which orders were deemed illegal.
On Thursday morning, President Donald Trump posted a string of responses to the viral video.
‘SEDITIOUS BEHAVIOR, punishable by DEATH!’
In a Truth Social post, Trump said, “It’s called SEDITIOUS BEHAVIOR AT THE HIGHEST LEVEL. Each one of these traitors to our Country should be ARRESTED AND PUT ON TRIAL. Their words cannot be allowed to stand — We won’t have a Country anymore!!!”
RELATED: ‘Rebellion’? Democrat lawmakers urge federal agents to resist Trump agenda in cringe video
Senator Elissa Slotkin (D-Mich.)Photographer: Eric Lee/Bloomberg via Getty Images
“An example MUST BE SET,” he added in the same post.
In a second post, Trump reiterated his call for accountability: “This is really bad, and Dangerous to our Country. Their words cannot be allowed to stand. SEDITIOUS BEHAVIOR FROM TRAITORS!!! LOCK THEM UP???”
Senator Elissa Slotkin (D-Mich.), Senator Mark Kelly (D-Ariz.), Rep. Chris Deluzio (D-Pa.), Rep. Maggie Goodlander (D-N.H.), Rep. Chrissy Houlahan (D-Pa.), and Rep. Jason Crow (D-Colo.) delivered the incendiary message.
In the video, the Democrats urged military and intelligence members to resist the Trump administration, telling them “we have your back”: “Americans trust their military. But that trust is at risk. This administration is pitting our uniformed military and intelligence community professionals against American citizens.”
“You MUST refuse illegal orders,” the video warned.
“SEDITIOUS BEHAVIOR, punishable by DEATH!” Trump said in another Truth Social post later on Thursday morning.
“It is insurrection — plainly, directly, without question. … It’s a general call for rebellion from the CIA and the armed services of the United States by Democrat lawmakers. … It shows what a dangerous moment we’re in,” White House deputy chief of staff for policy and homeland security adviser Stephen Miller said on Wednesday.
The video posted by Senator Elissa Slotkin reached 12 million views by Thursday morning.
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Yuge win! New jobs report exceeds expectations, reversing Biden-era trends
After more than a month’s delay due to the government shutdown, the government has released a new jobs report from September. The report defied expectations and proved President Trump is getting the economy back on track.
On Thursday, the Bureau of Labor Statistics released the long-awaited jobs report. The numbers blew many estimates out of the water.
‘This strong report is more proof that President Trump’s pro-growth, America First agenda is already making great progress, and it will continue to deliver positive results for American families and businesses.’
According to data obtained from the BLS, the U.S. added 119,000 jobs in September, marking an increase compared to previous months. The estimate, according to Fox News, was 50,000 new jobs.
RELATED: Trump orders Labor Statistics chief to be fired over revisions in weak jobs report
Photo by Chip Somodevilla/Getty Images
“The economy is booming under President Trump! His commitment to bringing jobs back to the United States and putting America First has turned this country around and set us on the right track!” Republican National Committee Chairman Joe Gruters said on X.
Wages are also up 0.2% to $36.67 in September, BLS said. According to the data, hourly earnings have increased 3.8% over the last 12 months.
In a statement obtained by Blaze News, White House press secretary Karoline Leavitt said, “The September jobs report more than doubled market expectations — adding 119,000 new jobs to the American economy. In stark contrast to the disastrous Biden economy, almost all of these new jobs were in the private sector and went to American-born workers instead of illegal aliens. Wages for workers are continuing to rise, a reversal of the Biden years where private sector wages declined by about $3,000 because of the Democrats’ inflation crisis.”
“This strong report is more proof that President Trump’s pro-growth, America First agenda is already making great progress, and it will continue to deliver positive results for American families and businesses,” Leavitt added.
Citing the government shutdown, the Bureau of Labor Statistics has said that it will not release full data for October. Instead, it will release partial data with the November jobs report, according to ABC News.
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