I was honored to share my investment experience with Tulane students at the 2nd annual Freeman Alternative Investment Conference.

Lebannon is free!!!

MIT just made every AI company's billion dollar bet look embarrassing. They solved AI memory. Not by building a bigger brain. By teaching it how to read. The paper dropped on December 31, 2025. Three MIT CSAIL researchers. One idea so obvious it hurts. And a result that makes five years of context window arms racing look like the wrong war entirely. Here is the problem nobody solved. Every AI model on the planet has a hard ceiling. A context window. The maximum amount of text it can hold in working memory at once. Cross that line and something ugly happens — something researchers have a clinical name for. Context rot. The more you pack into an AI's context, the worse it performs on everything already inside it. Facts blur. Information buried in the middle vanishes. The model does not become more capable as you feed it more. It becomes more confused. You give it your entire codebase and it forgets what it read three files ago. You hand it a 500-page legal document and it loses the clause from page 12 by the time it reaches page 400. So the industry built a workaround. RAG. Retrieval Augmented Generation. Chop the document into chunks. Store them in a database. Retrieve the relevant ones when needed. It was always a compromise dressed up as a solution. The retriever guesses which chunks matter before the AI has read anything. If it guesses wrong — and it does, constantly — the AI never sees the information it needed. The act of chunking destroys every relationship between distant paragraphs. The full picture gets shredded into fragments that the AI then tries to reassemble blindfolded. Two bad options. One broken industry. Three MIT researchers and a deadline of December 31st. Here is what they built. Stop putting the document in the AI's memory at all. That is the entire idea. That is the breakthrough. Store the document as a Python variable outside the AI's context window entirely. Tell the AI the variable exists and how big it is. Then get out of the way. When you ask a question, the AI does not try to remember anything. It behaves like a human expert dropped into a library with a computer. It writes code. It searches the document with regular expressions. It slices to the exact section it needs. It scans the structure. It navigates. It finds precisely what is relevant and pulls only that into its active window. Then it does something that makes this recursive. When the AI finds relevant material, it spawns smaller sub-AI instances to read and analyze those sections in parallel. Each one focused. Each one fast. Each one reporting back. The root AI synthesizes everything and produces an answer. No summarization. No deletion. No information loss. No decay. Every byte of the original document remains intact, accessible, and queryable for as long as you need it. Now here are the numbers. Standard frontier models on the hardest long-context reasoning benchmarks: scores near zero. Complete collapse. GPT-5 on a benchmark requiring it to track complex code history beyond 75,000 tokens — could not solve even 10% of problems. RLMs on the same benchmarks: solved them. Dramatically. Double-digit percentage gains over every alternative approach. Successfully handling inputs up to 10 million tokens — 100 times beyond a model's native context window. Cost per query: comparable to or cheaper than standard massive context calls. Read that again. One hundred times the context. Better answers. Same price. The timeline of the arms race makes this sting harder. GPT-3 in 2020: 4,000 tokens. GPT-4: 32,000. Claude 3: 200,000. Gemini: 1 million. Gemini 2: 2 million. Every generation, every company, billions of dollars spent, all betting on the same assumption. More context equals better performance. MIT just proved that assumption was wrong the entire time. Not slightly wrong. Fundamentally wrong. The entire premise of the last five years of context window research — that the solution to AI memory was a bigger window — was the wrong answer to the wrong question. The right question was never how much can you force an AI to hold in its head. It was whether you could teach an AI to know where to look. A human expert handed a 10,000-page archive does not read all 10,000 pages before answering your question. They navigate. They search. They find the relevant section, read it deeply, and synthesize the answer. RLMs are the first AI architecture that works the same way. The code is open source. On GitHub right now. Free. No license fees. No API costs. Drop it in as a replacement for your existing LLM API calls and your application does not even notice the difference — except that it suddenly works on inputs it used to fail on entirely. Prime Intellect — one of the leading AI research labs in the space — has already called RLMs a major research focus and described what comes next: teaching models to manage their own context through reinforcement learning, enabling agents to solve tasks spanning not hours, but weeks and months. The context window wars are over. MIT won them by walking away from the battlefield. Source: Zhang, Kraska, Khattab · MIT CSAIL · arXiv:2512.24601 Paper: arxiv.org/abs/2512.24601 GitHub: github.com/alexzhang13/rlm

"Why don't more people want to partake in the restaurant and social scene of New Orleans?"

“The Deal with Islamic Republic of Iran is now complete. Congratulations to all!” President Donald J. Trump 🇺🇸

There should be a legal process to quickly and permanently remove people who are caught on video brutalizing innocents like this for less than $15,000 cost to taxpayer.

6 Months of not caring at all what leftists think and we would never have to deal with this again.

RT @rustyself: I made a post last night about my family’s experience at Six Flags in Atlanta. I removed it. Comments became a cesspit of…

Up until ~30 years ago this was literally impossible since it was just universally believed that immigrants shouldn't be able up be on welfare.

In America, a warehouse store. A fully roasted chicken costs five dollars, the raw chicken beside it costs seven, and I stood between them like a man between two truths. Golden. Hot. Seasoned. Spinning in glory under the lights, in a line of its brothers. Four dollars and ninety-nine cents. I checked the raw birds. Seven dollars. Pale. Cold. You must do everything yourself. This is not commerce. Commerce does not move backward. Somewhere in this building, mathematics lies defeated. I asked the man at the counter. "How is the cooked bird cheaper than the raw bird?" "Been five bucks forever. They keep it that way." "But the store loses." "Yep. On purpose." On purpose. I held my receipt with both hands. In my land, a lord who lowered the price of rice in a hard winter was remembered for generations. They built him a small shrine. This store does it every day, with chicken, and tells no one. A woman behind me grew tired of my reverence. "It's just a chicken, sir." It is not just a chicken. It is a wound the merchant takes on purpose, so that anyone, on any day, with five dollars, eats like a lord. The bird is the message. The price is the vow. I will confess: I bought two. I did not need two. The second was not hunger. It was gratitude, and it was delicious. Some prices are not prices. They are promises. I return every week now. I take one bird. I bow toward the deli, briefly, so as not to alarm the staff. They have begun nodding back. The vow holds. The bird turns. Five dollars. Long may it spin.

JD the racist, terribly insecure about his own white heritage, forgets that he begged the Republicans for money and also got lunch with me.

This is why your ancestors believed in Omens and Portents. They understood what it meant to have the favor of the gods.

Charleston White admits, after a fallout with Karmelo Anthony’s father, that he had been paid off to support Karmelo Anthony’s case and that he would rather support Jeff Metcalf. “I’m sending the money back.”

Meet Athika Ahmed, 23. She’s just been appointed Health Ambassador and dietitian for Wales. £9,000 a month. To give health advice. She’s morbidly obese. This is the United Kingdom in 2026. Completely insane.

“IQ…is among the most robust findings…scores predict school performance, job performance, income, physical health, and even how long a person lives, across decades and across cultures, with a consistency the rest of social science can only envy.” psychology.humanprogress.org…

You all are on the stage of wanting mass deportations The next stage is realizing that this was done to you as a purposeful destabilization effort to completely destroy your people and nation And the people who did that are still in power Once we regain our countries, these people must be held accountable and squashed out so such an issue can never manifest again

I will vote for anyone, literally anyone, who will get these people out of our country, and I don’t care how they do it.

Just rediscovered this monstrosity buried deep in my meme folder.

Wist je dat? Moslims bidden niet op straat in Iran, Saoedi-Arabië of andere moslimlanden—het is illegaal en onbeleefd, omdat het anderen stoort. Ze doen het alleen in landen die ze veroveren, als een dominantie-strategie.

Elon Musk and Jeff Bezos offer us services we voluntarily pay for. Public school teachers extort us all for thousands of dollars and would jail anyone who disagrees.

MISSION ACCOMPLISHED. 🇺🇸⚡️🦅