There goes the bear…you missed it…

The Goalposts Have Already Moved Artificial general intelligence is not coming. It arrived, and almost nobody noticed, because it did not look the way the movies promised. Consider what the term originally meant. AGI was defined against narrow AI: systems that did one thing well and nothing else. Deep Blue played chess and could not tie a shoelace. The whole point of the word "general" was to name the leap from single-purpose tools to systems that transfer across domains. By that standard, the leap happened. A single model today writes production code, drafts legal analysis, explains quantum mechanics, translates between dozens of languages, tutors a teenager through calculus, and reasons about problems it was never explicitly trained on. Blaise Agüera y Arcas and Peter Norvig made this argument in 2023, and the evidence has only accumulated since: frontier models now perform at expert level on graduate examinations, competitive programming, and olympiad mathematics. The standard objection is that these systems have gaps. They do not learn continuously. They are sometimes confidently wrong. They stumble on novel puzzles a child could solve. All true, and all beside the point. Humans have equivalent gaps. We forget, confabulate, hold contradictory beliefs, and fail elementary logic problems under mild pressure. The human brain is not a clean general reasoner; it is an evolutionary kludge that happens to generalize well enough. If messy generalization disqualifies a system from the label, it disqualifies us too. What the objection actually reveals is a moving target: each time a capability arrives, it gets reclassified as "not real intelligence" and the finish line shifts further out. Grant the premise and the second half follows quickly. The path from general to superintelligent runs through a loop that is already turning. Systems capable of reasoning about code are now writing the code that trains their successors. AlphaChip designs the layouts for the hardware that runs them. AlphaEvolve found faster matrix multiplication algorithms, which is the core arithmetic of the training process itself. Models generate and grade synthetic data for the next generation. I.J. Good described this dynamic in 1965 and called the result an intelligence explosion, and the mechanism he imagined is no longer hypothetical. It is a line item in research budgets. The objection that we are running out of human-written text misunderstands the situation. The human corpus was the bootstrap, not the ceiling. Reinforcement learning on verifiable tasks, extended inference-time reasoning, architectural improvements, and self-generated training data have all produced gains without requiring more human writing. The supply constraint that mattered has already been routed around, which is how technological limits are usually beaten: not by force, but by a different path. History gives little comfort to the skeptics. Kelvin pronounced heavier-than-air flight impossible in 1895, and Kitty Hawk followed eight years later. Rutherford called atomic energy moonshine in 1933, and Szilard conceived the chain reaction the next day. Deep learning lay dormant for decades until GPUs and data arrived, then appeared to explode overnight. The pattern is consistent: conditions assemble quietly, and the breakthrough looks sudden only to those not watching the inputs. The inputs today are compute at unprecedented scale, architectures that demonstrably work, capital measured in hundreds of billions, and the best technical talent of a generation, all converged on one problem. There is also an existence proof sitting inside every human skull. The brain packs its capabilities into a small volume on twenty watts, and it was not designed. It was assembled incrementally under severe constraints: birth canal geometry, metabolic budget, slow chemical signaling, and the requirement to grow from a single cell. Whatever intelligence is, it is clearly implementable in a compact physical substrate built by a blind process. A designed system, free of those constraints and running on hardware that cycles a million times faster than neurons fire, has enormous headroom. Nothing in physics suggests the human configuration is near the optimum. Everything about its origins suggests the opposite. So the honest position is this: generality is achieved, competence and reliability are improving on a steep curve, and the improvement is increasingly driven by the systems themselves. Superintelligence does not require a miracle or a new paradigm. It requires the current loop to keep turning, which is exactly what it is doing. The argument about whether today's systems deserve the label is already a historical footnote. The question that matters is what happens when the loop closes. The strongest counterarguments, for the record: that reasoning gains from reinforcement learning may concentrate in domains with checkable answers like math and code, and transfer poorly to messy real-world judgment; that compute, energy, and chip supply are becoming hard physical constraints; and that benchmark performance has outrun real-world reliability in ways that may prove stubborn. Timelines have also been wrong in the other direction before, as fusion and self-driving cars demonstrate.

X is more toxic and stupid than ever. I hate literally 99% of what people spew on here. It's just a parade of one stupid ass take after another.

It's time to post the big-picture look at why this is the bottom & you should be buying bitcoin. It's the same bottom breakdown I analyzed back in Dec '22 & you can see how that played out (see my pinned) Don't screw this cycle up. Buy & walk away for 2 years. Come back happy.

Anthropic engineers just showed how to build agents that can run for days with loops "At Anthropic, 30%+ of our code is already written by loops. That's why we ship so fast" In this 40-minute workshop, they break down the whole stack: Agent loop Harness Memory Sub-agents This is worth more than most $500 vibe-coding courses Bookmark and watch the workshop today, then read the article below

NEW: Spencer Pratt fires back at reporter after he was asked about his plan for the homeless, says they will all end up in Seattle. Reporter: "What are your plans for the over 40,000 homeless in Los Angeles?" Pratt: "Well, they're not homeless, they're drug addicts... These people have been bused in by scam rehabs, scam NGOs, scam homeless nonprofits." "These people, when I unplug them ... they're all going to Seattle, where the mayor will welcome them."

No. The federal government steals nearly $3 TRILLION from us, the American people, every single year in federal income tax. That is BY FAR the largest form of theft.

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If you pitched this as a screenplay, every studio would reject it for being too on-the-nose. Fernando Mendoza was a 2-star recruit ranked 2,149th in his high school class. Zero FBS scholarship offers. Not one. He walked on at Cal, fought for a starting job, transferred to Indiana for his senior year, then led them to 16-0 and the first national title in school history. Heisman, Walter Camp, Maxwell, Davey O'Brien, Manning, Big Ten MVP. 41 TDs, 72% completion, 8-to-0 TD-to-INT ratio in the playoffs. The Raiders took him #1 overall Thursday night. $54.56M fully guaranteed. Only the third player ever to win the Heisman, win a national championship, and go first overall the next spring. Burrow. Newton. Mendoza. Then he skipped Pittsburgh. The biggest stage in football, the moment every kid imagines from the second they pick up a ball, and Fernando watched the call from his living room in Florida because his mom Elsa is in a wheelchair and the travel is hard for her. She was diagnosed with MS when he was 4. She wrote a letter to her sons in The Players Tribune in 2015 promising the disease "won't affect us in the ways that matter." The part nobody talks about: while every other top pick was on stage, Fernando announced the Mendoza Family Fund the same day. $500K personal donation to the National MS Society. Committed to raising $1M over three years. He hasn't taken an NFL snap and he's already given more to a cause than most players donate in a full career. He and his brother Alberto have already raised $360K through the Mendoza Bros. Burger at BuffaLouie's in Bloomington. At Christmas, he handed four families dealing with MS $10,000 each for an Adidas shopping spree. Both his parents are children of Cuban refugees who fled Castro. His dad rowed at Brown, won a Junior World Championship in 1987, and played high school football in Miami next to a teammate named Mario Cristobal. Fernando beat his dad's old teammate in the national championship game in January. Every athlete talks about playing for their family. Fernando actually did it.

EZ Peptides it is! Sorry but I'm not paying $5,500 more for the same damn thing. It all comes from China anyway, and likely the same damn company.

Entropy is the most underrated Bitcoin analyst on X.

This is called Karen core and it’s the best thing I’ve seen in a while.

More of this, please.😂

BEEARE: X actively tries to trigger us into interacting by spreading posts that trigger you. Don’t fall for it. If you disagree with something scroll on by or you’ll just get more of the same.

Wait, so the founder of Anthropic is "Amodei," as in "loves god"? And he leads Anthropic, meaning "human-centered," which is being used in military strikes? And the creator of ChatGPT is "Altman," as in "an alternative to humans"? And he leads OpenAI, which is completely closed? And then there's "Gemini," meaning "two-faced," from a company that promised to do no evil? And the whole global AI arms race is being driven by people who claimed to be worried about AGI taking over the world? Either the universe is an extremely cliché writer, or has a brilliant sense of humor

Agreed. Mass surveillance violates the Fourth Amendment and has a chilling effect on freedom of expression. Surveillance systems are prone to misuse for political or discriminatory purposes.