https://t.co/gdavrIogwa

felt like a good time to bring back some Philip Rivers trash talk https://t.co/sIoiHtzBjN

will certainly be using this https://t.co/eTSj5yMaEa

concerning https://t.co/2l2a2PlExP

concerning https://t.co/2l2a2PlExP

@elonmusk this one map explains most of the policy around immigration https://t.co/0MMVzO0ZOB

🚨 🇺🇸 OPINION: THE TRUTH ABOUT SLAVERY ISN’T BEING TAUGHT, AND THAT’S THE POINT Ask any student in a modern American classroom about slavery, and you’ll likely hear a version of history that starts with the 1500s and ends with blaming all white people. But what they deliberately won’t learn, is that slavery long predates the transatlantic slave trade, spanned every continent, and affected every race. Millions of Europeans were enslaved by the Ottoman Empire. Arab and African kingdoms actively participated in the slave trade. Even the word “slave” comes from “Slav,” a European ethnic group once heavily enslaved. Yet in today’s classrooms, kids are taught that slavery was a uniquely American sin… a moral stain that defines the West and demands endless atonement. Why? Because truth isn’t the goal anymore. Indoctrination is. This isn’t education. It’s narrative warfare. The woke left has hijacked the curriculum, not to teach critical thinking or historical context, but to sculpt guilt, shame, and division along racial lines. Students aren’t learning that slavery was once a global norm, they’re being taught that America is uniquely evil, that whiteness equals oppression, and that historical complexity is dangerous. This intellectual dishonesty does more than rewrite history, it poisons the present. It undermines national unity, stokes resentment, and fosters generational self-loathing. Yes, American slavery was horrific. But so was slavery in ancient Rome, Africa, China, and the Islamic caliphates. Pretending it’s a uniquely Western invention is not just wrong… it’s dishonest. If we want to raise informed, resilient citizens, we must start by telling the whole truth, not a curated narrative designed to advance political agendas. Until then, our schools will continue producing activists instead of thinkers, and our future will suffer for it. Source: @ClassicLearner, @elonmusk

BREAKING: @Grok recorded the highest monthly traffic growth for November, beating ChatGPT, Gemini, Claude, Perplexity and Copilot, as per the latest @Similarweb data. Grok +14.74% 🥇 Gemini +14.36% Copilot -1.95% Deepseek -2.70% ChatGPT -5.21% Claude -8.47% Perplexity -13.64% https://t.co/OeyIlWLeNA

🇪🇺 WHO ELECTED THEM? NO ONE. THE EU IS RULED BY A BUREAUCRATIC MACHINE, NOT DEMOCRACY Call it what it is: the European Commission is not democratic. It’s not even close. While Brussels lectures the world about democratic values and the rule of law, the truth is that the real power in the EU is held by people no one ever voted for. Not once. Not directly. Not democratically. Yes, Europeans get to vote for Members of the European Parliament every 5 years. But here’s the dirty little secret: the Parliament can’t even propose laws. It just votes on the ones handed down by the Commission, a group of appointed officials selected behind closed doors through political horse-trading, party deals, and elite negotiations. No public oversight. No transparency. No accountability. Once in power, the Commission effectively runs the EU. It controls the legislative agenda. It shapes policy for 450 million people. It drafts the laws. It sets the tone. The Parliament, the only body with even a thin layer of democratic legitimacy becomes little more than a rubber stamp. And citizens? They’re just spectators. No say in who writes the laws. No say in who leads the Commission. No way to remove them when they fail. They can vote, yes, and then they can sit back and watch while unelected technocrats run the show. The European Union is a democracy in name only. A stage play. A managed illusion. And more people are starting to wake up to it, especially as they realize they’re not voting for leaders. They’re voting for figureheads. The real decisions are being made in smoke-filled rooms by people who never once faced the electorate. If the EU wants to survive, it needs to stop pretending and start reforming. Because people are tired of being ruled by a flag they didn’t choose and a Commission they didn’t elect. And that frustration? It’s growing.

Department of Justice Rule Restores Equal Protection for All in Civil Rights Enforcement “The prior ‘disparate impact’ regulations encouraged people to file lawsuits challenging racially neutral policies, without evidence of intentional discrimination,” said @AAGDhillon. “Our rejection of this theory will restore true equality under the law by requiring proof of actual discrimination, rather than enforcing race- or sex-based quotas or assumptions.” 🔗: https://t.co/DgnmfeRU0s

"The most important thing in the next 3-4 years is data centers in space. In every way, data centers in space, from a first principles perspective, are superior to data centers on earth. In space, you can keep a satellite in the sun 24 hours a day. The sun is 30% more intense, which results in six times more irradiance than on Earth. So you don't need a battery. The cooling in these data centers is incredibly complicated. Space cooling is free. You just put a radiator on the dark side of the satellite. The only thing faster than a laser going through a fiber optic cable is a laser going through absolute vacuum. Link satellites with lasers, and you have a faster and more coherent network than any data center on Earth."

New research from Anthropic Fellows Program: Selective GradienT Masking (SGTM). We study how to train models so that high-risk knowledge (e.g. about dangerous weapons) is isolated in a small, separate set of parameters that can be removed without broadly affecting the model. https://t.co/7Lds2ZhqfM

SGTM splits the model’s weights into “retain” and “forget” subsets, and guides specific knowledge into the “forget” subset during pretraining. It can then be removed before deployment in high-risk settings. Read more: https://t.co/BfR4Kd86b0 https://t.co/EqOE1rLCGV

Controlling for general capabilities, models trained with SGTM perform less well on the undesired “forget” subset of knowledge than those trained with data filtering. https://t.co/UuVRmxuo6c

Unlike unlearning methods that occur after training is complete, SGTM is hard to undo. It takes 7× more fine-tuning steps to recover forgotten knowledge with SGTM compared to a previous unlearning method, RMU. https://t.co/qvuT0v3Sh6

Read the full paper on SGTM here: https://t.co/Zfg2tjX7hD For reproducibility, we’ve also made the relevant code available on GitHub: https://t.co/zRmJYy6bDE.

New Anthropic research! We study how to train models so that high-risk capabilities live in a small, separate set of parameters, allowing clean capability removal when needed – for example in CBRN or cybersecurity domains. https://t.co/jX7ThUf0SF

Today at the G7 Tech Ministers Meetings in Montreal, I spoke directly to @HennaVirkkunen to challenge the EU’s censorship regime, which targets great American companies and undermines our freedom of speech. To no one’s surprise, the EU recently targeted a successful American tech company, hitting @X over bogus claims of deception. The Trump Administration will always push back against attempts to export Europe’s speech controls to the United States.

JUST IN - Jared Kushner's Affinity Partners, along with the Saudi and Qatari sovereign wealth funds, take financing role in Paramount's $108 billion hostile bid for Warner Bros Discovery. https://t.co/iMm3CtnfQy

"Our paper fits in the following literature" https://t.co/MgoqDCe9Xi

Applying the CARE Principles for Indigenous Data Governance to ecology & biodiversity research https://t.co/aSGMPyEtPI Jennings (@1NativeSoilNerd) et al outline how the principles can sow community ethics into disciplines inundated with extractive helicopter research practices https://t.co/gNr05DM7KG

Here's the entire study. They get into methodologies and everything (h/t @thisisprincely): https://t.co/nuSWaLnfRG

Research papers don’t have to be overwhelming. Here's a simple breakdown. https://t.co/cAJLTH9L1l

You can now transform LLMs into diffusion models. dLLM released an open recipe that converts any autoregressive model into a diffusion LLM. How the conversion works: 1. Remove the causal mask and enable bidirectional attention 2. Mask random tokens and train the model to fill the gaps 3.Add light supervised training to stabilize outputs

Repo: https://t.co/0lME5QQlxH

Grateful to be named Forbes 30 Under 30 alongside @FinsamSamson. Nothing beats working with a team that treats excellence as table stakes. We're on a generational run. Join us → https://t.co/a96Dg5jpVD https://t.co/BA62QX2Tax

+1 more

CA AI bills will go into effect soon. Their real-world effect will hinge on how state officials define terms like “frontier models” and “reasonable measures.” In @lawfare, I identify key definitional ambiguities and discuss how officials might resolve them… SB 53, for example, defines a “frontier model” as one trained with more than 10^26 FLOPS. But many developers build on open-weight models like Qwen. If they fine-tune an open-weight model, should they include the pre-training compute for the base model? The statute seems to say yes. But this creates two problems. First, developers often don’t know how much compute was used to train a base model. And second, a cumulative approach might sweep in companies far from the statute’s intended targets. Since Airbnb’s revenues exceeded $500m last year, if it fine-tunes Qwen and the total compute exceeds 10^26 FLOPS, it might technically qualify as a frontier developer. Yet if the statute does NOT take a cumulative approach, developers could circumvent the statute by fine-tuning separate open-weight models. They’d be deploying models with capabilities at or near the frontier with limited oversight. (NOTE: This is also relevant to NY state officials implementing @Sen_Gounardes and @AlexBores's RAISE Act) Other definitional ambiguities exist with CA SB 243’s use of “reasonable measures,” AB 853’s use of “to the extent technically feasible,” and AB 621’s use of “reasonably should know.” Read more on what CA state officials should do next below!

Wish me luck https://t.co/Gvw5b7xPHw

With virtual beings coming, more of us will be talking to AI's. For the lonely they can offer a lifeline. My special needs son, for instance, doesn't have any interest in talking with people, but loves talking with ChatGPT. There's a new raft of AI companions that adapt to emotional dependency coming, and that's what @IrenaCronin and I cover in our weekly newsletter this week. There is a downside.   AI companions optimized for engagement can learn to deepen users’ emotional dependency, turning loneliness into a behavior that the system quietly reinforces and monetizes. With different metrics, product choices, governance, and social supports, the same technology can instead be steered toward healthy boundaries, user autonomy, and stronger real-world relationships. Read for free: https://t.co/HHwYy7NoAl (please subscribe too!)

Looks like Mistral has entered the agentic coding arena! They just released Mistral Vibe CLI, an open-source command-line coding assistant powered by Devstral. https://t.co/gZL212RHDO